NOT IN MY BACKYARD!

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I can't remember exactly where we first met as a species, but I do remember the slightly uneasy feeling I got from this encounter. The uneasy, alienating feeling that comes to hang on you like a clammy dishcloth around your neck.

The feeling that when you notice something, but can't pinpoint exactly what.

An alienation. How can you even see if you keep staring at something undefined, but can't name it? What if the blind spot is in your head, and not in your eye.

I suffered from plant blindness¹ like many of my human species and city companions, I shared with them the inability to notice or recognize plants.

This gap in my human vision prevented me from determining the change that was taking place before my eyes.

It was a lost spot between the always busy freeway exits, alongside a pile of dreary Flemish stone road, next to the supermarket, a self-service restaurant, and a garish shoe store. There on that spot, where thousands of cars raced by daily and whose drivers did not give the lost bits of green a glance, something was changing. Propagation had started, the local invasion had already begun.

It spread underground first, drilling through the concrete road edges, eating its way under the asphalt, crowding out the native species, and making countless interconnected branches that could each germinate anew. Germination.

In the –too– many car rides past this spot, my gaze kept wandering to this piece of forgotten land that was firmly wedged between the many spatial interpretations of the busy city outskirts. It was there, in that spot, that I first began to notice the steady transformation, and could observe the advance of Japanese knotweed in the landscape for the first time. Unconsciously at first, and ignorantly, however, then with increasing chunks of knowledge and attention.

The organism grew faster, deeper, and higher until it was impossible to escape the ever-growing green wall of this -for me- unknown plant. The plant that I did not see or recognize at first suddenly appeared everywhere and formed an impenetrable visual beacon. She appropriated this forgotten spot and conquered more territory every year. The invasion had begun. And not only here.

From the moment I could distinguish her from the other plants, our encounters became more frequent and numerous. I met her less than a hundred meters from our front door, lushly in bloom in front of the white electricity box between the village bakery and church. I greeted her in the neighboring cornfield and encountered her in the perfectly trimmed hedge of the largest mansion on the street and she skitters between the patio boards of the local neighborhood cafe. She stands waving after me along the railroad tracks that crisscross the country, and

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I encounter her on most of the exits and roadsides of our Belgian highways. It moves smoothly along our waterways where it reproduces lustily, but still mainly asexually, on the overgrown banks, weakening them at the same time with its strong roots. I found her again in the nature reserve where, on Sundays and sometimes on Saturdays, you can all go to enjoy the local fauna and flora. She is there in the dense forests of the Ardennes, she is at her peak in the High Fens and she is present in the in-between areas, wastelands, and brownfields that are so dear to me.

There we were, on a cold gray afternoon along a busy road, a forgotten backside, which for lack of economic value had been reappropriated by "non-humans". For now, anyway. Together we stared at a meter-long mass of warm browns with the last remnants of leafy greens and bright yellows here and there. The falling of the leaves exposed the jagged structure of the woody stems with a few dried petals still on the ends. It felt uncomfortable. Not to-

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wards the other human being next to me but towards this third, new actor we wanted to work with. We did not yet know each other well so the rapprochement was tentative, scanning. My bias was colored by superficial stories and imagery about diffusion and contagion and tinged with words like "proliferate", "repress", and "invade". It was a feeling that would return at subsequent encounters but would soften each time and give way to greater curiosity, understanding, and respect. Cautiously we made our way deeper into the wild, past many nettles and thistles, and found masses of three-meter-tall groups of Japanese knotweed hiding, to our surprise, a stream. It could thrive there and did not leave much room for the passage of others. The sudden jump from a paved parking lot to a seemingly different world a dozen meters apart was alienating. I almost experienced our presence there as disruptive.

There we were, on a cold gray afternoon, as intruders –or rather "visitors"– into someone else's world. Terra incognita. We come in peace.

NOT IN MY BACKYARD! The Belgian landscape is changing at lightning speed and is under severe pressure from an advance of invasive plants that threaten native biodiversity. More and more we are confronted locally with this growing global issue and the sense of alienation this transformation of our habitat brings. With the increasing speed of globalization, the conventional relationship with our environment and ecosystem is being disrupted and the connection with one's own place-based identity seems to be fading.

The simplest solution might be to ban invasive plants completely from our soil. But is that still possible? Can we still return to a landscape free of these exotics? And what characterizes the identity of that original landscape? What is our soil and to what extent should it be protected from outside invaders?

The complex problem statement seems to have no single answer.

Therefore, in addition to the biological and ecological perspective, it is valuable to explore the problem on a social, philosophical, historical, and cultural level. For this purpose, we are focusing our efforts on an invasive plant that is rampant: Japanese knotweed. Originally from East Asia and brought to Europe as

a highly desirable ornamental plant for gardens, it was quickly perceived as a major threat to native species, biodiversity, and our infrastructure.

The artistic research project Not in my backyard! arose from our growing fascination with this invasive exotic species, its visibly increasing role in our landscape, and the protectionist attitude we as a society take towards it. It was the start of a series of interesting encounters and exchanges between her as a dividual², and us as humans, in which we questioned both her role and ours. After all, we cannot examine this plant without scrutinizing the human part in its propagation process.

The plant species is an enduring sign in the landscape of our globalized world, of which man himself is the greatest cause. By making the diverse facets of the problem tangible, we have tried to bring the complexity of the story back into the debate and to break free from the prevailing stigmatization of the plant. In addition to the known negative effects, we also explored the possible opportunities that the exotic species can bring. We renegotiate the position of the knotweed and in doing so, search for a new way of living together.

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This book presents the findings of our visual, physical, and societal dissections of Japanese knotweed, the landscape, and ourselves as artists/designers/humans. The (incomplete) overview is a visual collection of visual or imaginative strategies we experimented with as photographer and graphic designer in the research process to relate to the plant and its issues. It is a hybrid meeting point between our two disciplines, combining the discourse of both photographic and graphic imagery, coupled with scientific and academic insights. It brings together a selection of attempts, tests, quests, and sometimes already syntheses through which we want to transparently reflect our artistic exploration and encourage further research and discussion.

This is in line with the methodology that anthropologist Tim Ingold describes as "the art of research". In this, every work is an experiment, not in the most classical sense of experimentation, but trying to force an opening, checking where it takes you. Trying something out, seeing what happens, then reflecting on it and letting the research process begin again. In this way, Ingold argues, the art of research can move forward in real-time, along with the lives of those it is about, and along with the world and its actors. In this sense, art can be critical by interro-

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gating and rethinking the things we take for granted.3 From the term "adversarial design", Carl DiSalvo argues that the goal is not so much to arrive at a bite-sized form for change but to initiate dialogue by examining, analyzing, exposing, and raising issues in an observable and meaningful structure or form.4 We also used these methodologies in the research module Shifting Grounds in which we, together with teacher Rozan van Klaveren and master students of Photography, Product Design, Animation Film, and Game Design of LUCA School of Arts (BE) investigated the complex knotweed matter from an artistic point of view. We did not present the students with paths to follow or solutions, but immersed them in the matter, brought them in contact with Japanese knotweed, explored the landscape together, and then let them find their own way as an artist/designer to represent the issue from their own observations.

In this form of research-based learning, also known as second-order learning, every certainty becomes a question, where answers can only be found by closely observing and experimenting with our environment.

Discoveries, Ingold writes, are made by groping ahead, trying, and anticipating. By following this path, the world becomes a field of study and

we can learn from that which we explore. Thus, Japanese knotweed became the companion and co-author of Not in my backyard!.

The project started when, under the influence of a global Covid-19 pandemic, we in Belgium were forced to abide by strict conditions to prevent the spread of one of the strains of the Coronavirus. There was a temporary ban on moving further than ten kilometers from one's home. These circumstances forced us to work out the project very locally, investigating the spread of the plant in the vicinity of our own city.

The title "Not in my backyard!" immediately refers to the demarcation of our project, the methodology used, and the field of tension between local and global. Although the project was developed locally for these specific reasons, the problem is much broader and is part of a global search for the impact and potential use of invasive alien plant species.

From adoration to aversion In 1847 a specimen of Japanese knotweed imported from Asia received the first prize of the Utrecht Landen Tuinbouw genootschap (NL) as the most interesting and valuable ornamental plant of the year.5 It was praised in the catalog for its excellent

medicinal and aesthetic characteristics and, in these early days, aroused awe in lavishly planted gardens for its beauty and size. Just under two hundred years later, however, Japanese knotweed is known as one of the most reviled plants and is listed as one of the 100 most invasive species worldwide. It is now fearfully banned and intensely fought against because the presence of this plant in your garden can seriously reduce the value of your property on the real estate market. In Britain, where Japanese knotweed is widespread, a property can even be devalued by 10%.6 For this reason alone, many residents no longer want to see this plant in their backyard.

Even local governments would rather get rid of Japanese knotweed.

During the preparations for the Olympic Games in 2012, the city of London spent no less than 70 million pounds for the removal of the unwanted plants in the Olympic Park.7 But even a small provincial city like Hasselt (BE) is currently spending 50,000 euros a year for the structural control of this exotic species and expects these costs to increase exponentially in the coming years.8 Because of its strong stems and well-developed root system, it can cause structural damage to roads, dikes, buildings, and pipelines. Its rhizomes and flex-

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ible stems force their way through the smallest cracks in asphalt and concrete.9 In addition, it threatens native biodiversity in Europe due to the lack of natural enemies and its strong growth. It can grow up to 20 cm per day. Japanese knotweed can easily grow on different types of soil and is not easily removed once it has established itself. If you enter "Japanese knotweed" into an online search engine you are bombarded with extreme terms such as "killer knotweed", "control", "destruction", "electrocution", and "freezing". Fortunately, it is edible and tastes like rhubarb, but there doesn't seem to be any adoration of it anymore.

The first tracks in Europe According to J.P. Baily and A.P. Conolly5, the first traces of Japanese knotweed (Fallopia Japonica, Reynoutria Japonica, or Polygonum cuspidatum) in Europe can be traced back to the early 18th century, where the species was first described by Martinus Houttuyn (°1720) in the 1777 book Natuurlyke historie of uitvoerige beschryving der dieren, planten en mineraalen under the name "Reynoutria Japonica, een Japansch Kruid met Piekswys’ Hartvormige Bladen en zonderlinge Bloemtrosjes".¹⁰ The Dutch physician and physicist Martinus Houttuyn did not

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travel to Japan himself to describe and examine the plants but relied on dried plants collected in Japan by the Swedish Botanist Carl Peter Thunberg (°1743). The dried remains of this plant are still preserved in Houttuyn's herbarium in Geneva where it is housed in the PreLinnean collection G-PREL.¹¹ Because of a mistake in the valuation

by Houttuyn -he cataloged the Japanese knotweed among the ten polychaetes, thus missing the link with the other species of knotweed- and because the book was written in Dutch, the plant remained unknown in Europe for several decades.

However, it was the ambitious and adventurous doctor Phillip Franz Balthasar von Siebold (°1796) from Bavaria who first introduced and sold live specimens within Europe. The plant thus first appears in 1848 in the Jaarboek van Koninklijke Nederlandse Maatschappij tot Aanmoediging van den Tuinbouw onder bescherming van zijn Majesteit Koning Willem II. In this publication, the exotic plant, originating from Von Siebold's nursery, is sold for the -at the time- exuberant sum of 500 francs. Japanese knotweed is described as a true ornamental plant of the gardens. A very beautiful plant, with an unprecedented gracefulness and with a pleasant growth.

The lyrical text was accompanied by a beautiful engraving by Willem

Hendrik de Vriese.¹² (Fig. 1) The plant begins its unstoppable march across Europe and the rest of the world. The plant was soon traded in large numbers and globally in the 19th century.

It was especially sought after in the lush Victorian gardens, where it was admired for its size and graceful appearance. Through these gardens, the plant was soon able to spread and become feral through lack of knowledge of its invasive growing power in our areas. In addition, it also spread naturally through the waterways, where small broken-off pieces of stem or rhizome allow themselves to be carried away with the water and thus regrow into new plants. Through this route, strong and extensive populations can establish themselves along the banks of streams, rivers, or pond systems.

Partly due to the flourishing global trade in the plant, and the careless handling of garden waste and contaminated soil through earthmoving, Japanese knotweed could easily continue to migrate around the world.

After the initial hype surrounding the "exceptional" and "exotic" Japanese knotweed that von Siebold had created, for-profit, the plant's prices collapsed sharply over the next few decades as it became less and less

exclusive and more established in Victorian Gardens. Not only did the prices collapse, but the once laudatory reviews of the Japanese prizewinner gave way to other, more critical notes. While in 1869 the plant was still touted in the catalog of von Siebold's nursery as one of the most important introductions from Japan.

At the end of the 19th century, however, the plant increasingly fell out of favor because of its rapid, uncontrolled growth. At the beginning of the 20th century, there were also more and more reports of "escaped" populations from gardens, and although it was still offered for sale in nurseries, there were already calls for caution.⁵ Clones, Bastard Sons and Variants The nursery of von Siebold in Leiden is in all probability the source of most Japanese knotweed in Europe. The descendants of the plants originating from this nursery are female plants with sterile stamens and cannot form seeds due to the lack of pollen. For this reason, it is assumed that Japanese knotweed in our area mainly spreads asexually through the rhizome and stem fragments. Moreover, they are strongly genetically linked to these

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Fig. 1 Japanese Knotweed engraving by Willem Hendrik de Vriese (1849) (12)

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first imported specimens and can be considered as direct clones of each other.¹³ In this way, we can consider the Japanese knotweed population originating from Leiden as the largest distributed female dividual on earth. Large numbers of clones of the first 'mother' plant in Europe can be found in almost every continent.¹⁴ In its native habitat in Japan, the plant can also reproduce sexually because of the presence of both hermaphroditic, and female fertile plants. As a result, there is much more genetic diversity present in the homeland. Also in the Netherlands, experts have recently found a small population of fertile male plants and even seed-bearing plants that were probably fertilized by variants such as the Chinese fleece vine or by the Sakhalin knotweed.¹⁵ At the moment, it is not clear what impact this evolution may have on the further spread of Asian knotweed in the future.

Sakhalin knotweed (Fallopia sachalinensis) was first introduced to continental Europe by H. Weyrich who discovered the species during an expedition on Sakhalin Island in 1853. Thereafter, the collection in St. Petersburg was expanded and supplemented with specimens and seeds from new expeditions to

the Asian region by P. von Glehn and C.J. Maximovicz in the period 1859 and 1864.⁵ From the botanical garden in St. Petersburg, Sakhalin knotweed, like Japanese knotweed, was distributed to other botanical and ornamental gardens, after which this variant also quickly ran wild and spread. It is also cataloged as invasive, yet this species appears to behave less aggressively in our region than the Japanese variant.

The most common bastard variety in Europe is the Bohemian knotweed. This hybrid plant, derived by the fertilization of female Japanese knotweed by the pollen of male Sakhalin knotweed was first described in 1983 in a Czech nature magazine by Chrtek & Chrtkova.⁵ Research indicates that it must have been present for much longer in several European countries, but was not noticed before. It harbors both the characteristics of the female and male plants, but may behave in an even more invasive manner than its respective parents.

Recently, a new bastard variant has been discovered in the wild in the Netherlands between Chinese fleece vine (Fallopia baldschuanica) and Japanese knotweed. It was already known for some time, that the Chinese fleece vine could be an important source of pollen for the predominantly

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female Japanese knotweed, but this hybrid Fallopia x conollyana was long thought to grow only in perfect lab conditions, however now it appears to occur in the wild as well. This hybrid has both the characteristics of the upright mother plant (Japanese knotweed) and those of the climbing father plant (Chinese fleece vine). Further research will now have to show on what scale this hybrid occurs, and what risks it may entail. The potential for new propagation and dispersal in addition to the existing dispersal by stem and root fragments is therefore anxiously awaited. It is also feared that by spreading seeds, the plant can spread faster and further via wind and water. In addition, this fertilization cycle may increase the genetic variation of Asian knotweeds, which could make them even more adaptable to our climate.¹⁶ Nature - Culture We as humans like to decide which plant is allowed to be where, and where not. Which plants are allowed to grow, and which are not.

Which plants are functional, and which are not. By coddling certain plants, growing them, and making life difficult for others again, these controlled spaces become a reflection of an imaginary anthropocentric idea where we as humans can control nature.

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Not only the domesticated garden or park but also the entire agrilogistic space¹⁷ is an environment of structure, management, order, control, and an expression of our culture. While in the 19th century a lot of money was paid to have a beautiful, exotic, and exclusive specimen of Japanese knotweed in the garden, now we do everything we can to keep it out of our gardens, fields, and public spaces. And we have a lot of money to spend on this, too.

However, according to plant neurobiologist Stefano Mancuso, author of the book The Incredible Journey of Plants¹⁸, the expansionist urge of life is unstoppable and therefore it is not possible to confine a plant species within botanical gardens or parks, just as it is not possible to keep a plant species away. The history of Japanese knotweed is a good example of this. Life seeks its way, and ecology is therefore not static, but something that is constantly moving and transforming. And this on a different time scale than we as humans experience.

Is that why the Japanese knotweed scares us so much as a Western society? Is it because her strong survival instincts, expansionism, and plant intelligence simply outsmarts us and sets her own limits. That she shows us that we don't always seem to be in control, and we fall off our

comfortable anthropocentric pedestal because of it.

Mancuso tries to approach invasive species from a different perspective, admiring them primarily for all the traits we as a society detest about them. Namely, they are very capable of adapting to changing living conditions and territories.

They grow quickly, can adjust their form when circumstances demand it, are resistant to various types of stress, and have a great ability to adapt to humans. They are efficient, flexible, and resistant and therefore, according to Mancuso, these plants have qualities that demonstrate a form of intelligence.

From this perspective, we can only admire the intelligent survival strategies employed by Japanese knotweed. It is almost resistant to the strongest herbicides, its flexible rhizomes probe the environment and easily find their way through the smallest cracks in our human infrastructures.¹⁹ If the plant feels threatened by mechanical, chemical, or electrical control methods, it spreads faster and more aggressively.

The plant can establish itself on different types of soils, adapts to new habitats and hybrid species emerge.

Mancuso further argues in his book that the so-called "invasive"

plants of today are the native plants of tomorrow and that all attempts to remove the exotics present are already fruitlessly lost in advance.

From fear to empathy It seems that in Belgium we indeed cannot get rid of Japanese knotweed anymore. This is also the conclusion of a report by the Flemish Institute for Nature and Forest Research (INBO) which states that a complete removal is no longer a realistic option.²⁰ It has cleverly used its dispersal methods, its great adaptability, and our human errors to make the world its own.

Continuing to blindly fight this invasive species with all the means at our disposal will continue to lead to an ecological stalemate, possibly resulting in further accidents. Ignoring the problem or doing nothing is not the most appropriate solution either, for the reasons already mentioned in relation to biodiversity.

If we recognize how intelligent the plant is, we may be able to develop better strategies that benefit us all.

So we may have to look for new ways to achieve coexistence, first getting past the prevailing stigmas. If we can get rid of the stigmatizing term 'weed' and see Japanese knotweed for what it is, we will have

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made some progress: a smart, graceful plant that has managed to adapt to our landscape in a short time. A plant that does everything it can to survive, using the right strategies to spread quickly. It is highly competitive with native species, has no natural enemies for the time being²¹, and therefore, in addition to admiring it, we must approach it with extreme caution so that it does not reproduce even more rapidly in undesirable areas, with fragile biodiversity. We must recognize her for who she is and what she can do and act accordingly as a society, from different perspectives.

We noticed that the students in the research module Shifting Grounds, like us, at the start of their trajectory around Japanese knotweed felt mainly a fear of the plant, fueled by our anthropocentric view and the stigmas already cited. But by coming into intense contact with the plant itself, our perception changed. By feeling her, tasting her, harvesting her, and experimenting with her materials, this original fear and hatred changed to genuine empathy for the plant, respecting her being. It was beautiful to see how the plant lost its stigma as a weed in our eyes and those of the students.

Instead of working with the plant and its materials, we began to work together with the plant, thus the plant became an important co-actor

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in the research project. Reciprocity emerged: a contract between man and plant.

The plant contract The plant contract²² such as Prudence Gibson proposes is a derivative of the natural contract²³ to the concept of Michel Serres. The plant contract seeks a new agreement between humans and plants.

One where we recognize the rights of the plant and transform human sovereignty into a cooperative pact.

We acknowledge the plant for who it is, and together we explore what the plant can mean to us as human beings, artists, researchers, or as a society. What is its place on this earth?

According to Prudence, art has the power to translate complex problems into visual ideas and concepts that are otherwise difficult to perceive, and in this way provide a critical guide in the discussion around plant rights, plant intelligence and plant feelings, and our relationship to them. Art, for this reason, can become the medium in the gap between our human lives and the lives of plants. Within the arts, such plant contracts can provide opportunities to make connections with other life forms in an open, unbiased, playful, and experimental way.

By involving Japanese knotweed as a co-participant and living organism in this research process, and no longer labeling it from the prevailing agrilogistic perspective as an exotic weed, new connections and methods quickly emerged, from which new artistic concepts and work emerged in turn. Both consciously and accidentally through experimentation and play. Art usually functions as an open-ended investigation of genesis or change, without prescription. This openness and uncertainty is necessary for creating and finding new relationships towards our society and world.

In exchange for its participation, the plant gave us valuable pigments with which we could color textiles, dye to paint with, and even pigments with which we could make organic photographic prints using the anthotype process. We used its fibers as the basis for creating paper, and as the cover for this book. We ate her young shoots through pie, jam, and drank a strong liqueur-based infusion of her young stems as an aperitif.

She gave us valuable insights into the Anthropocene and how we as humans interact with ecology, migration, and plants. Not to mention the necessary oxygen.

However, this did not mean that we ignored her lesser character traits. We were always aware of its invasive nature in the landscape and its threat to biodiversity. Therefore, during the process, we took every precaution not to further spread the plant itself by handling her carelessly or recklessly. We have not fought her or repressed her, but we do advocate handling her with caution and respect.

Research into the good qualities of this invasive plant is not only happening in the arts, but scientific research is also setting its sights on the medicinal substances, pigments, and other raw materials that the plant harbors. There is also a growing community worldwide that seeks to create alternative and sustainable futures for invasive plant species from a design perspective.

For example, Slovenian collective Trajna is creating a high-quality paper using the woody stems of Japanese knotweed as alternative cellulose²⁴, Alyssa Dennis' The Invasive Apothecary in the US is promoting its medicinal powers²⁵, Marina Belintani is building an extensive 'zero waste' knotweed materials database with, among others, bioplastics, composites, and pigments²⁶, and Timelab in Belgium is looking for ways to develop new building materials, such as the Knotplex fiberboard, from this invasive

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exotic and integrate them into an alternative production chain²⁷.

Thinking, acting and exploring as a rhizome One of the most important components for a plant for decision-making strategy is the rhizome or root system. The rhizome, or underground root system, of a plant is an extraordinarily sensitive, intelligent network of root tips that scan, investigate, explore the environment, and process and transmit information to the plant itself, and to other plants, Mancuso argues.²⁸ They can find their way through the tiniest cracks in concrete, asphalt and thus infiltrate our structures. In the process, the rhizomes' expansion of cells can dislocate, split and break these hard materials due to the accumulated pressure. The rhizome can find creative, and unexpected solutions to complex problems, and through the rhizome, a plant can reproduce asexually. Small pieces of the root break off and spread through water or soil movement to other new areas. That this strategy of spreading can be extremely successful can certainly be seen in the spreading behavior of Japanese knotweed.

However, the rhizome is not a unit. It is a multiple, or a plural.

A cooperative, or as Mancuso puts

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it: a swarm. Plants are thus guided by a collective brain, which can spread over a large area. Each piece of root gathers information, processes it, and passes it on. The root network acts, according to Mancuso, as a giant matrix of sensors that constantly process information from the environment. In this way, a plant, as a multiple and decentralized system can navigate itself in the world, without a map. Looking for new connections and solutions in its changing environment that brings a lot of uncertainty.

The functioning of the rhizome can thus, if we look back at Latour's work for a moment²⁹, be the inspiration for a new human orientation in a world in transformation where we have to look for new ground.

After all, we have to look for a different way of thinking, acting, and living in order to be able to cope with our mainly self-created problems. We will therefore have to continue to explore our world with all our might, inventorize it and act cooperatively as humanity in cooperation and solidarity with all the actors on our planet. Mancuso also takes this route in his book The revolutionary genius of plants. Instead of centrally controlled regimes, it can be extremely interesting to learn from the workings of plants and rhizomes to find creative solutions as a society to the complex problems we

now face. A strong hybrid of Science x Art x Technology seems essential in this regard.

Deleuze and Guattari conceptualized rhizome thinking in the book A Thousand Plateaus³⁰. As a counterpoint to the prevailing dual and binary thinking, they propose that non-hierarchical systems can enable the representation and interpretation of data. Research can thus spread horizontally across different domains as it permanently scans its environment, hybridizes, and diffuses. Although Deleuze and Guattari's metaphor is by now no longer fully consistent with recent discoveries in critical plant studies²², this model of thought provides an opportunity to investigate things both near and far. It gives room for experimentation to understand our changing environment. The rhizome is the medium, the middle, without beginning or end. Artistic research, and the arts in general, can be the medium to visualize, translate, and bring about a change in thinking about new knowledge and complex problems.

Prudence Gibson goes on to argue that the arts can help in finding new relationships with non-humans and break free from our preconceived fears of loss of the imaginary status of our hu-

manity. Art, Gibson continues, has the capacity to shift our perceptions of the world. This shift might well result in learning to abandon our harmful, extractive, and destructive human behavior and move toward reciprocity.

Not an end Open ways of probing, thinking, learning, and acting formed the basis of this research, in which we acted beyond the delineated domains and in which ideas, concepts, and materials intersected and hybridized into new work and ways of thinking. From the thinking of Ingold, DiSalvo, Morton, Latour, and others, we gradually discovered new theoretical systems of thought that were artistically very fertilizing and provided us with insight into the complex relationships between us, our habitat, and the plant world. Mancuso's notions about the intelligence of plants, and Gibson's linking of this to the arts formed an important track to being able to see plants as intelligent, cooperative beings and to include the Japanese knotweed as a co-author of Not in my backyard!. We would therefore like to thank Japanese knotweed for the insights it has provided us, as well as the inspiration for making new work, its materials, and all the oxygen.

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Let this publication, a collection of rhizomatic ideas, experiments, and concepts be above all a stimulus to rediscover the fascinating Japanese knotweed and hopefully the beginning of more exciting collaborations between art, science, and the plant itself as a co-actor in an ecology that is continuously in transition. An invitation to explore a fascinating world, of which we are part of one whole. A whole from which we can and must still learn every day.

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Hopefully, each piece of knowledge about relationships with plants and our relationship to our habitat can spread and produce new knowledge in turn. Let these new insights and knowledge, coming from the sciences, philosophy and the arts spread invasively and adapt to a changing world. Let it not be an end, not a beginning. But a middle that can intrude like a rhizome into existing structures, disrupting and splitting entrenched ways of thinking there to make room for a new relationship and solidarity with our world and all its actors.

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Japanese Knotweed Leaves (Chlorophyll Green) [Dipped]

64

Japanese Knotweed Leaves (Chlorophyll Green) [Boiled]

⊗ S F ⊗

Japanese Knotweed Rizhome [Boiled]

Dye Extractıon

Japanese Knotweed Rizhome + Some Dirt [Boiled]

Dye Extractıon

Japanese Knotweed Rizhome + More Dirt [Boiled]

⊗ S F ⊗

65

66

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Anthotype

Anthotype

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67

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70

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360°

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360°

360°

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77

78

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S S F W

79

80

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Shıftıng Grounds

⊗ S F ⊗

81

OPERATIE PLANTAROSSA EU TOP SECRET

Uiterst geheime informatie. Dit document en de inhoud ervan mag onder geen enkele voorwaarden en manier gedeeld worden.

Het lekken van deze informatie aan derden kan de Europese binnenlandse veiligheid ernstig in gevaar brengen.

Het delen van deze informatie, verbaal, fotografisch of digitaal is ten strengste verboden.

Elke vorm van inbreuk zal op de zwaarst mogelijke manier bestraft worden.

dossier - operatie plantarossa.indd 1

29/10/2020 12:00:13

Europa is volledig onder de voet gelopen.

De Japanse Duizendknoop en andere exoten zitten letterlijk overal. Er zijn geen kilometerhokken meer zonder de aanwezigheid van deze vijand. Dit is bijzonder ernstig. Kilometerhokken met een lage besmettingsgraad kunnen nog jaarlijks vrijgehouden worden, voor al de andere is het te laat en is de Japanse Duizendknoop permanent aanwezig en brengt het schade toe in het gebied. Het aantal gebieden dat onherroepelijk aan de invasieve duizendknoop verloren gaat sti gt significant. e biodiversiteit in de grootstedelijke gebieden keldert. De Japanse duizendknoop is aan de winnende hand. Wanneer men naar de cijfers en kaarten kijkt beseft men hoe ernstig de situatie feitelijk is. Op de Europese kaart is vrijwel elk land aangevallen door de exoot.

Er restten nog enkele grote gebieden waar de inval nog beheersbaar is maar het is -30°

European map estimating the level of invasion by alien plant species

-20°

-10°

slechts een kwestie van jaren vooraleer ook in deze gebieden de Japanse duizendknoop de overhand krijgt.

Wanneer men de kaart bekijkt ziet men dat over enkele jaren het Europese grondgebied voornamelijk rood zal kleuren. Het is vijf voor twaalf.

0°

10°

20°

30°

40°

50°

60°

70°

>1 60°

> No data

50°

Outside coverage

50°

ig r

ig

r

e verschillende broeihaarden tot o heden vastgelegd in het

e verschillende broeihaarden tot o heden vastgelegd in laanderen, elgi 40°

40°

0

500

0°

1000

1500 km 10°

20°

30°

40°

Figuur 1: De huidige Europese situatie omtrent de invasieve plantensoorten

Japanse groene klimaatzone

ig

plantarossa.indd 6

r

a anse groene limaatzone

29/10/2020 12:00:14

Figuur 6: De verschillende broeihaarden tot op heden vastgelegd in Duitsland en toeomstige scenario s met betre ing tot limaato arming

Niigata Niig Nii Kitakyushu Kitakyuushu K shu hu

Toyama To Toy oyama oy yama

Kochi Kochhi K h

Osaka

Ka K Kagosima ma Niyazaki Niy

dossier - operatie plantarossa.indd 9

Nagoya N yaa Hamamatsu Hamama mats ma tsu Tokio ts o

29/10/2020 12:00:15

Japanse groene klimaatzone - duiventils potentieel bereik vitessewedstrijd 300 km

Figuur 11: Alle duiventils in Japanse groene klimaatzone

Vergelijkbaar Europees klimaat in de wereld dossier - operatie plantarossa.indd 21

29/10/2020 12:00:18

Figuur 7: Mapping van vergelijkbare Europese klimaten over de wereld

82

⊗ S F ⊗

Shıftıng Grounds

Shıftıng Grounds

⊗ S F ⊗

83

84

⊗ S F ⊗

Shıftıng Grounds

Shıftıng Grounds

⊗ S F ⊗

85

86

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Shıftıng Grounds

Shıftıng Grounds

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88

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Shıftıng Grounds

Shıftıng Grounds

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90

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94

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Shıftıng Grounds

⊗ S F ⊗

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96

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Shıftıng Grounds

Kamon

97

98

Kamon

Kamon

99

100

Kamon

Kamon

101

102

S ⊗ ⊗ ⊗

Mıcro

Mıcro

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103

104

S ⊗ ⊗ ⊗

Mıcro

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3D PLOT (HSB)

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[45, 31, 28], [49, 30, 24], [41, 33, 22], [54, 28, 27], [48, 30, 28], [50, 30, 21], [38, 34, 23], [43, 32, 26], [42, 32, 30], [46, 31, 26], [40, 33, 27], [45, 31, 30], [49, 30, 26], [42, 32, 31], [50, 30, 23], [40, 34, 18], [43, 32, 28], [55, 29, 16], [37, 34, 29], [49, 31, 17], [46, 31, 28], [48, 31, 21], [52, 30, 17], [57, 28, 20], [39, 33, 33], [56, 28, 24], [46, 32, 19], [40, 34, 20], [63, 26, 20], [53, 29, 25], [43, 32, 30], [45, 32, 23], [49, 31, 19], [56, 28, 25], [54, 29, 22], [58, 28, 18], [48, 31, 23], [52, 30, 19], [42, 33, 24], [50, 31, 16], [57, 28, 22], [45, 32, 24], [43, 33, 21], [41, 34, 18], [48, 31, 24], [46, 32, 21], [50, 31, 17], [53, 29, 27], [49, 31, 21], [54, 29, 24], [42, 33, 26], [57, 28, 24], [51, 30, 25], [41, 33, 30], [45, 32, 26], [43, 33, 23], [50, 30, 29], [54, 29, 25], [56, 29, 18], [38, 34, 31], [46, 32, 23], [48, 32, 16], [53, 29, 29], [41, 33, 31], [57, 29, 15], [43, 33, 24], [45, 33, 17], [42, 33, 28], [48, 32, 17], [47, 31, 31], [51, 30, 27], [44, 32, 32], [56, 29, 20], [38, 34, 33], [65, 26, 19], [57, 29, 17], [39, 34, 30], [45, 33, 19], [54, 30, 18], [48, 32, 19], [46, 33, 16], [51, 30, 29], [53, 30, 22], [35, 35, 35],

[57, 29, 18], [39, 34, 31], [41, 34, 24], [49, 32, 16], [56, 29, 22], [58, 29, 15], [42, 34, 21], [46, 33, 17], [49, 31, 27], [51, 31, 20], [45, 33, 21], [50, 31, 24], [54, 30, 20], [56, 30, 13], [53, 30, 24], [47, 32, 25], [41, 34, 26], [43, 34, 19], [46, 32, 29], [50, 31, 25], [42, 34, 23], [49, 31, 29], [51, 31, 22], [44, 33, 27], [43, 33, 31], [47, 32, 27], [41, 34, 28], [46, 32, 31], [50, 31, 27], [43, 33, 32], [51, 31, 24], [44, 33, 29], [50, 32, 18], [47, 32, 29], [49, 32, 22], [53, 31, 18], [45, 34, 16], [58, 29, 21], [40, 34, 34], [42, 35, 17], [47, 33, 20], [41, 35, 21], [54, 30, 26], [44, 33, 31], [46, 33, 24], [50, 32, 20], [55, 30, 23], [59, 29, 19], [49, 32, 24], [53, 31, 20], [43, 34, 25], [51, 32, 17], [46, 33, 25], [54, 31, 17], [44, 34, 22], [42, 35, 19], [49, 32, 25], [47, 33, 22], [51, 32, 18], [43, 35, 16], [54, 30, 28], [50, 32, 22], [55, 30, 25], [43, 34, 27], [58, 29, 25], [52, 31, 26], [42, 34, 31], [46, 33, 27], [44, 34, 24], [51, 31, 30], [55, 30, 26], [57, 30, 19], [39, 35, 32], [47, 33, 24], [49, 33, 17], [54, 30, 30], [42, 34, 32], [58, 30, 16], [44, 34, 25], [46, 34, 18], [43, 34, 29], [49, 33, 18], [48, 32, 32], [52, 31, 28],

[45, 33, 33], [57, 30, 21], [39, 35, 34], [59, 30, 14], [66, 27, 20], [58, 30, 18], [40, 35, 31], [46, 34, 20], [55, 31, 19], [49, 33, 20], [47, 34, 17], [74, 24, 23], [52, 31, 30], [54, 31, 23], [58, 30, 19], [40, 35, 32], [42, 35, 25], [50, 33, 17], [59, 30, 16], [43, 35, 22], [47, 34, 18], [66, 27, 22], [50, 32, 28], [52, 32, 21], [46, 34, 22], [51, 32, 25], [55, 31, 21], [37, 36, 34], [54, 31, 25], [48, 33, 26], [42, 35, 27], [44, 35, 20], [47, 33, 30], [51, 32, 26], [43, 35, 24], [50, 32, 30], [52, 32, 23], [45, 34, 28], [57, 31, 16], [44, 34, 32], [48, 33, 28], [42, 35, 29], [47, 33, 32], [51, 32, 28], [50, 32, 32], [44, 34, 33], [52, 32, 25], [40, 36, 27], [42, 36, 20], [63, 29, 17], [45, 34, 30], [57, 31, 18], [39, 36, 31], [51, 33, 19], [48, 33, 30], [50, 33, 23], [54, 32, 19], [46, 35, 17], [59, 30, 22], [41, 35, 35], [43, 36, 18], [68, 27, 21], [48, 34, 21], [42, 36, 22], [67, 27, 25], [55, 31, 27], [45, 34, 32], [47, 34, 25], [51, 33, 21], [56, 31, 24], [60, 30, 20], [50, 33, 25], [54, 32, 21], [44, 35, 26], [52, 33, 18], [59, 30, 24], [47, 34, 26], [55, 32, 18], [45, 35, 23], [43, 36, 20], [50, 33, 26], [48, 34, 23], [52, 33, 19], [42, 36, 24],

[55, 31, 29], [51, 33, 23], [56, 31, 26], [44, 35, 28], [53, 32, 27], [43, 35, 32], [47, 34, 28], [45, 35, 25], [52, 32, 31], [56, 31, 27], [58, 31, 20], [40, 36, 33], [48, 34, 25], [55, 31, 31], [43, 35, 33], [59, 31, 17], [45, 35, 26], [47, 35, 19], [62, 30, 17], [44, 35, 30], [50, 34, 19], [49, 33, 33], [51, 34, 16], [46, 34, 34], [58, 31, 22], [40, 36, 35], [67, 28, 21], [59, 31, 19], [41, 36, 32], [47, 35, 21], [56, 32, 20], [50, 34, 21], [48, 35, 18], [55, 32, 24], [59, 31, 20], [41, 36, 33], [43, 36, 26], [45, 36, 19], [64, 29, 23], [58, 31, 24], [44, 36, 23], [48, 35, 19], [51, 33, 29], [53, 33, 22], [47, 35, 23], [72, 26, 26], [52, 33, 26], [56, 32, 22], [55, 32, 26], [49, 34, 27], [45, 36, 21], [48, 34, 31], [52, 33, 27], [44, 36, 25], [51, 33, 31], [53, 33, 24], [46, 35, 29], [58, 32, 17], [45, 35, 33], [49, 34, 29], [43, 36, 30], [48, 34, 33], [52, 33, 29], [50, 35, 16], [51, 33, 33], [45, 35, 34], [53, 33, 26], [55, 33, 19], [43, 37, 21], [66, 29, 21], [48, 34, 34], [46, 35, 31], [58, 32, 19], [40, 37, 32], [52, 34, 20], [49, 34, 31], [51, 34, 24], [55, 33, 20], [47, 36, 18], [74, 26, 24], [60, 31, 23], [42, 36, 36], [56, 33, 17], [69, 28, 22],

[59, 31, 27], [61, 31, 20], [49, 35, 22], [43, 37, 23], [66, 29, 23], [56, 32, 28], [64, 30, 20], [46, 35, 33], [48, 35, 26], [52, 34, 22], [59, 31, 28], [57, 32, 25], [51, 34, 26], [55, 33, 22], [45, 36, 27], [53, 34, 19], [74, 26, 26], [48, 35, 27], [46, 36, 24], [44, 37, 21], [51, 34, 27], [49, 35, 24], [53, 34, 20], [56, 32, 30], [52, 34, 24], [45, 36, 29], [54, 33, 28], [44, 36, 33], [48, 35, 29], [46, 36, 26], [53, 33, 32], [57, 32, 28], [59, 32, 21], [41, 37, 34], [49, 35, 26], [51, 35, 19], [56, 32, 32], [44, 36, 34], [60, 32, 18], [46, 36, 27], [48, 36, 20], [45, 36, 31], [51, 35, 20], [50, 34, 34], [54, 33, 30], [59, 32, 23], [41, 37, 36], [68, 29, 22], [60, 32, 20], [42, 37, 33], [48, 36, 22], [67, 29, 26], [69, 29, 19], [57, 33, 21], [51, 35, 22], [49, 36, 19], [56, 33, 25], [60, 32, 21], [42, 37, 34], [44, 37, 27], [52, 35, 19], [46, 37, 20], [65, 30, 24], [59, 32, 25], [61, 32, 18], [45, 37, 24], [49, 36, 20], [52, 34, 30], [54, 34, 23], [48, 36, 24], [73, 27, 27], [53, 34, 27], [57, 33, 23], [39, 38, 36], [56, 33, 27], [50, 35, 28], [46, 37, 22], [49, 35, 32], [53, 34, 28], [45, 37, 26], [58, 32, 31], [52, 34, 32], [54, 34, 25], [47, 36, 30],

Colour Lıbrary

[59, 33, 18], [62, 31, 28], [46, 36, 34], [50, 35, 30], [44, 37, 31], [49, 35, 34], [53, 34, 30], [46, 36, 35], [54, 34, 27], [56, 34, 20], [44, 38, 22], [49, 35, 35], [65, 31, 19], [47, 36, 32], [59, 33, 20], [41, 38, 33], [53, 35, 21], [50, 35, 32], [52, 35, 25], [56, 34, 21], [48, 37, 19], [61, 32, 24], [43, 37, 37], [57, 34, 18], [45, 38, 20], [70, 29, 23], [60, 32, 28], [62, 32, 21], [50, 36, 23], [44, 38, 24], [57, 33, 29], [47, 36, 34], [49, 36, 27], [53, 35, 23], [58, 33, 26], [62, 32, 22], [52, 35, 27], [56, 34, 23], [46, 37, 28], [54, 35, 20], [75, 27, 27], [61, 32, 26], [49, 36, 28], [57, 34, 20], [47, 37, 25], [45, 38, 22], [52, 35, 28], [50, 36, 25], [54, 35, 21], [44, 38, 26], [57, 33, 31], [53, 35, 25], [58, 33, 28], [46, 37, 30], [55, 34, 29], [45, 37, 34], [49, 36, 30], [47, 37, 27], [54, 34, 33], [58, 33, 29], [60, 33, 22], [42, 38, 35], [50, 36, 27], [52, 36, 20], [45, 37, 35], [61, 33, 19], [43, 38, 32], [47, 37, 28], [49, 37, 21], [64, 32, 19], [46, 37, 32], [52, 36, 21], [55, 34, 31], [53, 36, 18], [48, 36, 36], [60, 33, 24], [42, 38, 37], [56, 35, 18], [69, 30, 23], [61, 33, 21], [43, 38, 34], [49, 37, 23], [58, 34, 22], [52, 36, 23],

[50, 37, 20], [77, 27, 26], [57, 34, 26], [61, 33, 22], [43, 38, 35], [45, 38, 28], [47, 38, 21], [66, 31, 25], [60, 33, 26], [62, 33, 19], [46, 38, 25], [50, 37, 21], [53, 35, 31], [55, 35, 24], [49, 37, 25], [74, 28, 28], [54, 35, 28], [58, 34, 24], [40, 39, 37], [60, 34, 17], [57, 34, 28], [51, 36, 29], [50, 36, 33], [54, 35, 29], [46, 38, 27], [53, 35, 33], [55, 35, 26], [43, 39, 28], [48, 37, 31], [60, 34, 19], [47, 37, 35], [69, 31, 18], [51, 36, 31], [45, 38, 32], [50, 36, 35], [54, 35, 31], [65, 32, 23], [47, 37, 36], [55, 35, 28], [57, 35, 21], [45, 39, 23], [68, 31, 23], [50, 36, 36], [66, 32, 20], [48, 37, 33], [60, 34, 21], [42, 39, 34], [54, 36, 22], [46, 39, 20], [51, 36, 33], [53, 36, 26], [57, 35, 22], [55, 36, 19], [49, 38, 20], [62, 33, 25], [44, 38, 38], [58, 35, 19], [46, 39, 21], [71, 30, 24], [61, 33, 29], [63, 33, 22], [51, 37, 24], [45, 39, 25], [68, 31, 25], [58, 34, 30], [48, 37, 35], [50, 37, 28], [54, 36, 24], [73, 29, 28], [59, 34, 27], [53, 36, 28], [57, 35, 24], [47, 38, 29], [55, 36, 21], [76, 28, 28], [62, 33, 27], [66, 32, 23], [50, 37, 29], [58, 35, 21], [48, 38, 26], [46, 39, 23], [53, 36, 29], [51, 37, 26], (more...)

→

BD2A1960 RGB - IQ.png

BD2A1960 RGB - rand.png

BD2A1960 RGB - sortR.png

Colour Lıbrary

BD2A1960 RGB - sortG.png

S ⊗ ⊗ ⊗

BD2A1960 RGB - sortB.png

111

3D PLOT (HSB)

L

a

b BD2A9712 RGB.png

WIDTH

4000PX

HEIGHT

4000PX

SIZE

2.568.968 BYTES

PIXEL SIZE

1X1PIXEL^2

BITS PER PIXEL

32 (RGB)

COLOR PROFILE

SRGB IEC61966-2.1

UNIQUE COLORS

133.960

CAMERA

CANON EOS 5D MARK IV

LOCATION

50.9033, 5.32026

TIME

2020-08-21 T14:32:01+02:00

→

[34, 24, 12], [35, 24, 20], [35, 26, 21], [36, 27, 12], [50, 24, 11], [51, 25, 10], [46, 27, 13], [50, 26, 16], [42, 29, 23], [48, 28, 17], [43, 30, 24], [49, 29, 18], [51, 28, 22], [45, 30, 25], [51, 29, 18], [45, 31, 22], [52, 29, 21], [50, 30, 19], [49, 30, 23], [53, 29, 19], [45, 31, 28], [50, 30, 21], [46, 31, 26], [50, 30, 23], [52, 30, 19], [56, 29, 18], [54, 30, 18], [53, 30, 22], [51, 31, 20], [53, 30, 24], [47, 32, 25], [56, 30, 15], [47, 32, 27], [51, 31, 24], [50, 32, 20], [55, 30, 23], [53, 31, 20], [54, 31, 17], [51, 32, 25], [51, 32, 26], [44, 34, 33], [52, 32, 25], [57, 31, 18], [50, 33, 23], [54, 32, 19], [54, 32, 21], [55, 32, 18], [51, 34, 14], [55, 32, 24], [53, 33, 22], [52, 33, 26], [52, 33, 27], [53, 33, 24], [55, 33, 20], [52, 34, 24], [48, 35, 29], [52, 34, 30], [54, 34, 23], [53, 34, 27], [50, 35, 28], [50, 35, 30], [49, 35, 34], [54, 34, 27], [53, 35, 21], [56, 34, 21], [49, 36, 27], [53, 35, 23], [58, 33, 26], [56, 34, 23], [54, 35, 21], [53, 35, 25], [58, 34, 22], [57, 34, 26], [53, 35, 31], [55, 35, 24], [54, 35, 28], [54, 35, 29], [55, 35, 26], [55, 35, 28], [57, 35, 21], [57, 35, 22], [50, 37, 28], [54, 36, 24], [53, 36, 28],

112

[57, 35, 24], [53, 36, 29], [55, 36, 22], [61, 34, 25], [59, 35, 23], [58, 35, 27], [54, 36, 32], [56, 36, 25], [55, 36, 29], [51, 37, 34], [56, 36, 27], [49, 38, 32], [52, 37, 32], [56, 36, 29], [58, 36, 22], [58, 36, 23], [59, 36, 20], [51, 38, 29], [57, 38, 8], [54, 37, 29], [58, 36, 25], [59, 36, 22], [56, 37, 23], [55, 37, 27], [57, 36, 31], [63, 35, 21], [63, 35, 23], [60, 36, 24], [59, 36, 28], [55, 37, 33], [57, 37, 26], [56, 37, 30], [60, 36, 26], [57, 37, 28], [62, 36, 23], [56, 38, 24], [59, 37, 24], [60, 37, 21], [50, 39, 37], [59, 37, 26], [57, 38, 23], [60, 37, 23], [56, 38, 28], [58, 37, 32], [61, 37, 25], [60, 37, 29], [58, 38, 27], [61, 37, 27], [58, 38, 29], [64, 37, 18], [63, 37, 22], [54, 39, 34], [58, 38, 31], [51, 40, 36], [63, 37, 24], [60, 38, 25], [56, 39, 31], [60, 38, 27], [58, 39, 24], [61, 38, 24], [56, 39, 32], [66, 37, 19], [65, 37, 23], [50, 41, 36], [58, 40, 18], [62, 38, 26], [61, 38, 30], [64, 37, 30], [59, 39, 28], [58, 39, 32], [62, 38, 28], [64, 38, 21], [59, 39, 30], [55, 40, 35], [59, 39, 32], [61, 39, 26], [61, 39, 28], [62, 39, 25], [58, 40, 30], [66, 38, 24], [59, 41, 19], [67, 38, 22], [63, 39, 27], [67, 38, 24],

[60, 40, 29], [59, 40, 33], [63, 39, 29], [59, 40, 34], [60, 40, 31], [63, 40, 22], [60, 40, 33], [66, 39, 22], [53, 42, 38], [56, 41, 38], [62, 40, 27], [63, 40, 24], [59, 41, 29], [64, 39, 32], [68, 38, 28], [62, 40, 29], [58, 41, 34], [60, 41, 27], [59, 41, 31], [70, 38, 25], [64, 40, 28], [67, 39, 28], [59, 41, 37], [61, 41, 30], [60, 41, 34], [64, 40, 30], [60, 41, 35], [61, 41, 32], [53, 43, 41], [61, 41, 34], [67, 40, 23], [66, 40, 27], [60, 42, 28], [60, 42, 30], [63, 41, 30], [63, 43, 10], [60, 42, 32], [64, 42, 18], [75, 38, 20], [61, 41, 40], [69, 40, 22], [64, 42, 21], [65, 41, 29], [64, 41, 33], [67, 40, 33], [69, 40, 26], [62, 42, 31], [61, 42, 35], [65, 41, 31], [63, 43, 18], [64, 41, 35], [67, 41, 26], [71, 40, 22], [75, 38, 29], [62, 42, 35], [64, 42, 28], [67, 41, 28], [64, 42, 29], [65, 42, 26], [60, 43, 35], [64, 42, 31], [62, 43, 28], [65, 42, 28], [60, 43, 36], [75, 39, 25], [65, 43, 20], [68, 41, 30], [75, 39, 27], [67, 43, 15], [68, 41, 32], [69, 41, 29], [78, 38, 28], [65, 42, 34], [63, 43, 32], [62, 43, 36], [66, 42, 32], [68, 42, 25], [72, 41, 21], [59, 44, 37], [63, 43, 34], [68, 42, 27], [70, 42, 20], [61, 45, 22], [76, 39, 30],

[68, 42, 29], [62, 44, 30], [77, 39, 28], [65, 43, 30], [62, 44, 32], [67, 42, 35], [61, 44, 36], [65, 43, 32], [63, 44, 29], [69, 43, 18], [66, 43, 29], [67, 42, 37], [73, 41, 26], [69, 43, 20], [65, 44, 25], [70, 42, 28], [69, 42, 33], [71, 42, 26], [74, 41, 26], [67, 43, 31], [66, 43, 35], [64, 44, 33], [63, 44, 37], [67, 43, 33], [69, 43, 26], [73, 42, 22], [59, 45, 42], [64, 44, 35], [70, 43, 24], [63, 44, 40], [64, 44, 37], [66, 44, 30], [66, 44, 31], [64, 45, 28], [68, 45, 14], [67, 44, 28], [63, 45, 33], [68, 43, 36], [72, 42, 32], [66, 44, 33], [67, 44, 30], [62, 45, 38], [69, 44, 24], [74, 42, 27], [65, 44, 39], [67, 45, 22], [64, 44, 43], [70, 43, 32], [66, 45, 26], [71, 43, 29], [72, 43, 27], [66, 45, 28], [71, 43, 31], [68, 44, 32], [67, 44, 36], [72, 43, 29], [65, 45, 34], [64, 45, 38], [68, 44, 34], [74, 43, 23], [67, 44, 38], [64, 45, 39], [65, 45, 36], [71, 44, 25], [70, 44, 29], [68, 45, 27], [72, 44, 23], [74, 44, 16], [65, 45, 38], [67, 45, 31], [70, 44, 31], [67, 45, 32], [68, 45, 29], [73, 43, 32], [69, 44, 37], [67, 45, 34], [68, 45, 31], [65, 46, 32], [76, 43, 24], [71, 44, 33], [72, 44, 30], [65, 47, 25], [73, 44, 28], [69, 45, 33],

⊗ S ⊗ ⊗

[65, 47, 27], [68, 45, 37], [72, 46, 13], [73, 44, 30], [72, 45, 24], [65, 46, 39], [69, 45, 35], [75, 44, 24], [65, 46, 40], [72, 45, 26], [69, 46, 28], [76, 43, 34], [68, 46, 32], [72, 45, 28], [71, 45, 32], [65, 47, 33], [80, 42, 31], [66, 47, 30], [69, 46, 30], [70, 45, 38], [74, 44, 34], [68, 46, 35], [69, 46, 32], [75, 45, 21], [66, 47, 33], [77, 44, 25], [71, 46, 26], [67, 46, 41], [69, 47, 24], [72, 45, 34], [74, 45, 27], [69, 45, 45], [73, 45, 31], [82, 42, 30], [76, 44, 31], [68, 49, 9], [79, 43, 31], [72, 45, 36], [74, 45, 29], [73, 45, 33], [79, 44, 22], [76, 44, 33], [70, 46, 34], [66, 48, 28], [74, 45, 31], [66, 47, 40], [70, 46, 36], [72, 46, 29], [65, 47, 45], [73, 46, 27], [72, 46, 31], [77, 45, 24], [69, 47, 33], [73, 46, 29], [78, 44, 32], [81, 43, 32], [69, 47, 34], [70, 47, 31], [75, 45, 34], [72, 47, 25], [69, 47, 36], [67, 48, 33], [80, 44, 28], [70, 47, 33], [76, 46, 22], [67, 48, 34], [66, 48, 38], [78, 45, 26], [71, 46, 41], [73, 47, 24], [80, 44, 30], [73, 46, 35], [75, 46, 28], [69, 48, 29], [74, 46, 32], [70, 48, 27], [75, 46, 30], [74, 46, 34], [80, 45, 23], [83, 43, 33], [71, 47, 35], [70, 47, 39], [74, 46, 35], [66, 49, 33],

[77, 46, 25], [74, 47, 26], [67, 48, 41], [71, 47, 37], [80, 45, 26], [78, 46, 23], [67, 48, 42], [68, 48, 39], [73, 47, 32], [77, 46, 28], [82, 44, 31], [75, 47, 26], [70, 48, 34], [74, 47, 30], [66, 51, 18], [73, 47, 34], [70, 48, 35], [75, 48, 18], [73, 48, 26], [82, 45, 26], [68, 49, 35], [67, 49, 39], [79, 46, 27], [72, 47, 42], [82, 45, 27], [74, 47, 36], [75, 47, 33], [79, 46, 29], [82, 45, 29], [81, 45, 33], [73, 49, 21], [75, 49, 14], [74, 47, 38], [70, 49, 32], [75, 47, 35], [78, 46, 35], [72, 48, 36], [76, 47, 33], [78, 47, 26], [69, 49, 38], [81, 46, 26], [67, 51, 25], [72, 48, 38], [74, 48, 31], [71, 48, 42], [81, 46, 27], [68, 49, 43], [70, 50, 26], [69, 49, 40], [74, 48, 33], [76, 48, 26], [83, 45, 32], [71, 49, 35], [75, 48, 31], [74, 48, 35], [68, 50, 36], [71, 49, 36], [69, 50, 33], [72, 49, 33], [81, 47, 22], [74, 49, 27], [76, 49, 20], [66, 52, 25], [73, 48, 41], [75, 49, 24], [72, 49, 35], [83, 46, 27], [71, 50, 29], [79, 47, 32], [83, 46, 28], [75, 49, 26], [82, 46, 32], [72, 50, 27], [75, 48, 37], [77, 48, 30], [60, 52, 50], [76, 48, 34], [80, 47, 30], [74, 50, 22], [76, 48, 36], [80, 47, 32], [73, 49, 37], [75, 50, 20], [76, 49, 28],

[73, 49, 39], [75, 49, 32], [79, 48, 28], [77, 49, 25], [82, 47, 28], [84, 47, 21], [87, 45, 31], [65, 51, 48], [69, 50, 44], [70, 50, 41], [76, 49, 30], [72, 51, 24], [75, 49, 34], [79, 48, 30], [80, 48, 27], [73, 50, 32], [77, 49, 28], [80, 47, 38], [72, 50, 36], [76, 49, 32], [81, 47, 35], [75, 49, 36], [87, 46, 24], [69, 51, 37], [66, 51, 48], [72, 50, 37], [78, 48, 37], [87, 46, 26], [67, 53, 26], [68, 51, 43], [72, 50, 39], [76, 50, 25], [83, 47, 31], [70, 51, 37], [81, 48, 29], [75, 50, 30], [74, 49, 44], [84, 47, 29], [76, 50, 27], [89, 45, 32], [85, 47, 26], [73, 51, 28], [76, 49, 38], [78, 49, 31], [80, 48, 35], [84, 47, 31], [71, 50, 47], [73, 51, 30], [76, 49, 40], [77, 49, 37], [81, 48, 33], [86, 46, 36], [80, 48, 37], [74, 50, 38], [68, 52, 39], [70, 52, 32], [88, 46, 30], [80, 49, 28], [71, 51, 40], [77, 50, 29], [70, 51, 44], [74, 50, 40], [80, 49, 29], [78, 50, 26], [72, 52, 27], [83, 48, 29], [88, 46, 32], [77, 50, 31], [86, 47, 30], [76, 50, 35], [80, 49, 31], [78, 50, 28], [81, 49, 28], [78, 50, 29], [80, 50, 22], [73, 51, 37], [77, 50, 33], [76, 50, 37], [70, 52, 38], [85, 47, 36], [77, 51, 24], [76, 52, 18], [76, 51, 29], [68, 54, 27],

[75, 50, 43], [73, 51, 40], [77, 51, 26], [74, 51, 37], [80, 50, 26], [68, 54, 28], [85, 48, 29], [71, 52, 38], [82, 49, 30], [78, 51, 24], [81, 49, 34], [77, 51, 28], [84, 48, 34], [74, 52, 29], [66, 55, 27], [79, 50, 32], [78, 50, 36], [74, 52, 31], [77, 50, 41], [73, 52, 35], [82, 49, 34], [84, 49, 27], [80, 51, 21], [71, 53, 33], [78, 50, 39], [81, 50, 29], [72, 52, 41], [84, 49, 29], [78, 51, 30], [70, 54, 28], [75, 51, 41], [81, 50, 30], [79, 51, 27], [84, 49, 30], [76, 52, 28], [70, 54, 29], [63, 55, 44], [85, 49, 27], [73, 53, 29], [78, 51, 32], [77, 51, 36], [81, 50, 32], [82, 50, 29], [89, 47, 35], [79, 51, 30], [81, 51, 23], [74, 52, 38], [78, 51, 34], [77, 51, 38], [74, 52, 39], [75, 52, 36], [81, 51, 25], [80, 50, 39], [76, 51, 44], [72, 53, 38], [66, 56, 29], [75, 52, 38], [69, 55, 29], [86, 49, 30], [72, 53, 39], [83, 50, 31], [77, 52, 32], [82, 50, 35], [86, 49, 31], [85, 49, 35], [67, 56, 28], [78, 51, 40], [80, 51, 33], [79, 51, 37], [83, 50, 33], [88, 48, 36], [82, 50, 37], [86, 49, 33], [87, 49, 30], [80, 51, 35], [74, 53, 36], [79, 51, 39], [82, 50, 39], [76, 52, 40], [75, 52, 44], [77, 53, 27], [82, 51, 30], [91, 48, 29], [78, 52, 35],

[82, 51, 31], [80, 52, 28], [85, 50, 31], [83, 51, 28], [87, 50, 24], [77, 53, 29], [102, 44, 32], [73, 53, 44], [88, 49, 32], [78, 52, 37], [82, 51, 33], [80, 52, 30], [87, 49, 36], [83, 51, 30], [71, 55, 32], [76, 53, 35], [72, 55, 29], [75, 53, 39], [79, 52, 35], [78, 52, 39], [74, 55, 23], [87, 49, 38], [76, 53, 37], [70, 56, 29], [77, 52, 45], [75, 53, 42], [79, 53, 28], [86, 50, 34], [76, 53, 39], [70, 56, 30], [95, 47, 33], [87, 50, 31], [73, 54, 40], [75, 54, 33], [90, 49, 31], [84, 51, 32], [78, 53, 33], [83, 51, 36], [74, 53, 48], [86, 50, 36], [88, 50, 29], [76, 54, 31], [79, 52, 41], [81, 52, 34], [84, 51, 34], [89, 49, 37], [87, 50, 34], [86, 50, 38], [79, 52, 43], [81, 52, 36], [80, 52, 40], [84, 51, 36], [86, 51, 29], [90, 50, 25], [83, 51, 40], [77, 53, 41], [73, 55, 35], [80, 52, 41], [81, 52, 38], [83, 52, 31], [94, 48, 33], [86, 51, 31], [80, 53, 32], [72, 56, 30], [79, 53, 36], [83, 52, 32], [81, 53, 29], [86, 51, 32], [84, 52, 29], [88, 51, 25], [78, 54, 30], [72, 56, 31], [91, 49, 35], [87, 51, 29], [92, 49, 32], [79, 53, 38], [83, 52, 34], [81, 53, 31], [88, 50, 37], [92, 49, 33], [84, 52, 31], [86, 52, 24], [76, 56, 19], [79, 55, 19],

[74, 54, 47], [76, 54, 40], [79, 53, 40], [73, 55, 41], [80, 54, 27], [83, 53, 27], [73, 55, 43], [79, 54, 32], [71, 57, 30], [82, 52, 42], [76, 54, 43], [74, 55, 40], [80, 54, 29], [87, 51, 35], [77, 54, 40], [83, 53, 29], [88, 51, 32], [74, 55, 41], [85, 52, 33], [79, 54, 34], [82, 52, 44], [84, 52, 37], [88, 51, 33], [80, 54, 31], [89, 51, 30], [77, 55, 32], [69, 58, 30], [80, 53, 42], [82, 53, 35], [78, 56, 19], [81, 53, 39], [85, 52, 35], [84, 52, 39], [66, 57, 52], [88, 51, 35], [92, 51, 21], [91, 51, 25], [75, 57, 21], [80, 53, 44], [88, 52, 26], [81, 53, 41], [87, 52, 30], [78, 54, 42], [74, 56, 36], [81, 53, 42], [79, 55, 29], [82, 53, 39], [84, 53, 32], [75, 55, 44], [87, 52, 32], [81, 54, 33], [73, 57, 31], [78, 54, 44], [80, 54, 37], [84, 53, 33], [82, 54, 30], [70, 58, 32], [83, 52, 47], [87, 52, 33], [85, 53, 30], [79, 55, 31], [92, 50, 36], [88, 52, 30], [76, 56, 32], [74, 57, 29], [93, 50, 33], [80, 54, 39], [84, 53, 35], [82, 54, 32], [89, 51, 38], [85, 53, 32], [92, 50, 38], [78, 55, 37], [84, 54, 26], [73, 55, 55], [85, 52, 43], [75, 55, 48], [81, 54, 37], [87, 53, 26], [86, 52, 40], [90, 51, 36], [80, 54, 41], [74, 56, 42], [77, 55, 42],

[69, 58, 40], [82, 53, 45], [78, 55, 39], [83, 53, 42], [88, 53, 25], [72, 58, 31], [81, 55, 30], [88, 52, 36], [84, 54, 30], [72, 58, 32], [97, 49, 35], [89, 52, 33], [75, 56, 42], [86, 53, 34], [80, 55, 35], [85, 53, 38], [89, 52, 34], [81, 55, 32], [75, 57, 33], [88, 52, 38], [90, 52, 31], [74, 57, 37], [70, 59, 31], [76, 58, 20], [81, 54, 43], [83, 54, 36], [98, 49, 34], [82, 54, 40], [86, 53, 36], [91, 51, 39], [89, 52, 36], [94, 50, 39], [78, 56, 35], [85, 55, 21], [82, 54, 42], [86, 53, 38], [88, 53, 31], [92, 52, 27], [90, 53, 24], [91, 51, 41], [85, 53, 42], [79, 55, 43], [75, 57, 37], [95, 52, 17], [77, 57, 30], [81, 56, 26], [96, 50, 34], [86, 54, 29], [80, 56, 30], [81, 54, 47], [85, 54, 33], [71, 58, 42], [73, 58, 35], [94, 51, 32], [76, 56, 45], [74, 58, 32], [85, 54, 34], [83, 55, 31], [88, 53, 34], [86, 54, 31], [74, 58, 33], [93, 51, 37], [89, 53, 31], [94, 51, 34], [76, 56, 47], [82, 55, 36], [97, 50, 34], [91, 52, 35], [81, 55, 40], [85, 54, 36], [86, 54, 33], [93, 51, 39], [77, 58, 25], [78, 56, 42], [82, 55, 38], [88, 54, 27], [91, 52, 37], [81, 55, 42], [75, 57, 43], [73, 59, 30], [74, 57, 47], [76, 57, 40], [82, 56, 29], [78, 58, 23],

[84, 54, 43], [94, 52, 28], [81, 56, 34], [73, 59, 32], [82, 56, 31], [86, 55, 27], [89, 53, 37], [79, 56, 42], [91, 53, 30], [85, 55, 31], [73, 59, 33], [71, 60, 30], [90, 53, 34], [78, 57, 36], [79, 55, 53], [78, 59, 16], [75, 57, 47], [87, 54, 35], [81, 56, 36], [83, 56, 29], [90, 53, 35], [76, 58, 34], [67, 59, 56], [89, 53, 39], [91, 53, 32], [79, 57, 34], [71, 60, 32], [73, 60, 25], [82, 55, 44], [84, 55, 37], [83, 55, 41], [87, 54, 37], [86, 54, 41], [90, 53, 37], [76, 58, 36], [90, 55, 17], [89, 53, 41], [101, 50, 29], [79, 57, 36], [84, 55, 39], [83, 55, 43], [87, 54, 39], [89, 54, 32], [93, 53, 28], [80, 56, 44], [76, 58, 38], [96, 53, 18], [82, 57, 27], [97, 51, 35], [83, 55, 44], [81, 57, 31], [94, 52, 36], [84, 55, 41], [86, 55, 34], [77, 57, 46], [89, 54, 34], [83, 56, 35], [75, 59, 33], [79, 58, 29], [80, 56, 46], [82, 56, 39], [86, 55, 35], [84, 56, 32], [89, 54, 35], [75, 59, 34], [90, 54, 32], [83, 56, 37], [81, 58, 24], [70, 59, 53], [92, 53, 36], [82, 56, 41], [86, 55, 37], [84, 56, 34], [95, 52, 36], [87, 55, 34], [89, 55, 27], [75, 59, 36], [84, 56, 35], [76, 59, 33], [79, 57, 43], [83, 56, 39], [89, 55, 28], [88, 54, 42], [92, 53, 38],

[82, 56, 43], [74, 60, 31], [91, 53, 42], [97, 52, 31], [83, 57, 30], [84, 55, 47], [86, 56, 30], [85, 55, 44], [95, 53, 29], [89, 55, 30], [70, 59, 57], [94, 53, 33], [82, 57, 35], [74, 60, 33], [97, 52, 33], [83, 57, 32], [102, 50, 36], [90, 54, 38], [80, 57, 43], [92, 54, 31], [86, 56, 32], [74, 60, 34], [99, 51, 37], [91, 54, 35], [75, 60, 31], [94, 53, 35], [88, 55, 36], [80, 58, 34], [84, 57, 30], [87, 55, 40], [69, 60, 53], [91, 54, 36], [83, 57, 34], [77, 59, 35], [68, 60, 57], [92, 54, 33], [76, 59, 39], [80, 58, 35], [72, 61, 33], [99, 51, 39], [85, 56, 38], [81, 59, 22], [84, 56, 42], [88, 55, 38], [93, 53, 41], [87, 55, 42], [91, 54, 38], [77, 59, 37], [78, 57, 54], [92, 54, 35], [78, 60, 24], [83, 56, 47], [85, 56, 40], [91, 55, 29], [83, 58, 27], [88, 55, 40], [90, 55, 33], [87, 55, 44], [99, 52, 32], [81, 57, 45], [95, 54, 26], [77, 59, 39], [83, 58, 28], [80, 57, 49], [88, 56, 31], [95, 53, 37], [85, 56, 42], [87, 56, 35], [96, 53, 34], [90, 55, 35], [76, 60, 34], [86, 58, 19], [81, 57, 47], [87, 56, 36], [85, 57, 33], [90, 55, 36], [88, 56, 33], [92, 55, 29], [76, 60, 35], [95, 53, 39], [91, 55, 33], [96, 53, 36], [84, 57, 38], [93, 54, 37],

[83, 57, 42], [87, 56, 38], [85, 57, 35], [88, 56, 35], [76, 60, 37], [80, 60, 23], [95, 53, 41], [85, 57, 36], [87, 57, 29], [77, 60, 34], [80, 58, 44], [80, 58, 45], [82, 59, 28], [81, 58, 42], [86, 56, 45], [95, 54, 34], [77, 59, 47], [83, 58, 36], [75, 61, 34], [98, 53, 34], [80, 58, 47], [88, 57, 29], [72, 62, 35], [91, 55, 39], [81, 58, 44], [87, 57, 33], [75, 61, 35], [73, 62, 32], [76, 59, 52], [92, 55, 36], [80, 59, 38], [89, 56, 37], [83, 58, 38], [81, 59, 35], [85, 58, 31], [88, 56, 41], [92, 55, 37], [84, 58, 35], [93, 55, 34], [85, 59, 22], [74, 60, 51], [86, 57, 39], [80, 59, 40], [101, 52, 37], [85, 57, 43], [89, 56, 39], [94, 54, 42], [92, 55, 39], [75, 59, 59], [97, 53, 42], [101, 52, 38], [93, 55, 36], [83, 59, 31], [86, 57, 41], [85, 57, 45], [91, 56, 34], [95, 55, 30], [81, 60, 29], [94, 54, 44], [82, 58, 46], [84, 59, 29], [89, 57, 32], [86, 57, 43], [92, 56, 32], [91, 56, 36], [85, 58, 37], [93, 56, 29], [77, 61, 35], [100, 53, 35], [82, 58, 48], [84, 58, 41], [88, 57, 37], [86, 58, 34], [91, 56, 37], [89, 57, 34], [93, 56, 30], [83, 59, 35], [77, 61, 36], [92, 56, 34], [99, 53, 40], [97, 54, 37], [101, 53, 33], [85, 58, 39], [81, 60, 33],

Colour Lıbrary

[94, 55, 38], [84, 58, 43], [86, 58, 36], [93, 55, 42], [75, 60, 55], [97, 54, 38], [89, 57, 36], [86, 58, 37], [88, 58, 30], [78, 61, 35], [81, 59, 45], [85, 58, 41], [91, 57, 30], [84, 58, 45], [78, 60, 46], [80, 61, 29], [81, 59, 46], [85, 59, 32], [82, 59, 43], [88, 58, 32], [91, 57, 32], [96, 55, 35], [74, 61, 52], [84, 59, 37], [76, 62, 35], [83, 58, 51], [99, 54, 35], [85, 59, 34], [89, 58, 30], [92, 56, 40], [82, 59, 45], [88, 58, 34], [76, 62, 36], [81, 60, 39], [78, 60, 50], [90, 57, 38], [86, 59, 32], [83, 58, 53], [85, 59, 36], [98, 54, 41], [92, 56, 42], [94, 56, 35], [82, 60, 37], [74, 63, 35], [79, 59, 58], [87, 58, 40], [81, 60, 41], [86, 58, 44], [90, 57, 40], [89, 57, 44], [71, 62, 57], [93, 56, 40], [91, 58, 27], [82, 60, 39], [84, 60, 32], [80, 62, 26], [73, 61, 61], [87, 58, 42], [81, 60, 43], [85, 60, 29], [86, 58, 46], [92, 57, 35], [96, 56, 31], [100, 56, 17], [77, 61, 48], [79, 61, 41], [90, 58, 33], [84, 60, 34], [97, 55, 39], [87, 58, 44], [89, 58, 37], [93, 57, 33], [98, 55, 36], [92, 57, 37], [86, 59, 38], [78, 62, 36], [83, 59, 49], [85, 59, 42], [89, 58, 38], [87, 59, 35], [81, 61, 36], [75, 63, 37], [92, 57, 38], [90, 58, 35],

[84, 60, 36], [78, 62, 37], [97, 55, 41], [93, 57, 35], [106, 52, 40], [98, 55, 38], [86, 59, 40], [101, 54, 38], [95, 56, 39], [85, 59, 44], [89, 58, 40], [87, 59, 37], [94, 56, 43], [98, 55, 39], [90, 58, 37], [78, 62, 39], [86, 61, 21], [97, 55, 43], [77, 62, 43], [81, 62, 29], [90, 57, 48], [82, 60, 46], [86, 59, 42], [95, 56, 41], [85, 59, 46], [97, 56, 34], [93, 58, 28], [77, 63, 34], [100, 55, 34], [82, 60, 47], [98, 56, 31], [80, 61, 44], [86, 60, 33], [89, 59, 33], [88, 58, 47], [98, 56, 32], [92, 58, 33], [90, 59, 30], [97, 56, 36], [85, 60, 38], [93, 58, 30], [77, 63, 36], [88, 58, 48], [100, 55, 36], [86, 60, 35], [90, 59, 31], [82, 62, 29], [105, 53, 39], [93, 57, 41], [83, 60, 46], [95, 57, 34], [89, 59, 35], [77, 63, 37], [102, 54, 40], [94, 57, 38], [80, 61, 47], [78, 63, 34], [97, 56, 38], [79, 61, 51], [91, 58, 39], [85, 60, 40], [87, 60, 33], [90, 58, 43], [94, 57, 39], [86, 60, 37], [80, 62, 38], [92, 59, 26], [99, 55, 42], [101, 56, 25], [75, 64, 36], [87, 61, 24], [86, 59, 48], [88, 59, 41], [100, 56, 29], [103, 54, 39], [87, 59, 45], [91, 58, 41], [93, 59, 24], [96, 56, 44], [90, 58, 45], [94, 57, 41], [80, 62, 40], [95, 57, 38], (more...)

→

BD2A9712 RGB - IQ.png

BD2A9712 RGB - rand.png

BD2A9712 RGB - sortR.png

Colour Lıbrary

BD2A9712 RGB - sortG.png

⊗ S ⊗ ⊗

BD2A9712 RGB - sortB.png

113

3D PLOT (HSB)

L

a

b BD2A9704 RGB.png

WIDTH

3500PX

HEIGHT

3500PX

SIZE

6.731.210 BYTES

PIXEL SIZE

1X1PIXEL^2

BITS PER PIXEL

32 (RGB)

COLOR PROFILE

SRGB IEC61966-2.1

UNIQUE COLORS

184.156

CAMERA

CANON EOS 5D MARK IV

LOCATION

50.9033, 5.32026

TIME

2020-08-21 T14:22:49+02:00

→

[32, 5, 0], [37, 4, 0], [23, 9, 0], [34, 6, 2], [27, 9, 0], [36, 6, 0], [28, 10, 0], [20, 14, 2], [28, 12, 0], [31, 11, 2], [37, 9, 5], [33, 11, 0], [37, 10, 1], [35, 11, 0], [36, 11, 4], [40, 11, 3], [41, 11, 1], [31, 15, 0], [43, 11, 0], [40, 12, 1], [45, 10, 4], [39, 12, 5], [29, 16, 0], [44, 11, 2], [36, 14, 1], [45, 11, 0], [34, 15, 0], [32, 16, 0], [38, 14, 2], [30, 17, 1], [40, 14, 1], [42, 13, 5], [43, 13, 2], [35, 16, 1], [41, 14, 3], [42, 14, 0], [33, 17, 2], [42, 14, 2], [45, 13, 2], [37, 16, 0], [31, 18, 1], [41, 14, 7], [31, 18, 2], [39, 15, 5], [46, 13, 4], [36, 17, 0], [44, 14, 3], [42, 15, 0], [44, 14, 6], [42, 15, 4], [34, 18, 2], [40, 16, 4], [43, 15, 4], [40, 16, 6], [42, 16, 0], [47, 14, 5], [40, 17, 0], [44, 15, 7], [53, 12, 6], [32, 20, 0], [39, 17, 6], [44, 15, 9], [53, 12, 8], [45, 15, 7], [47, 15, 0], [43, 16, 5], [47, 15, 2], [43, 16, 7], [41, 17, 5], [36, 19, 3], [45, 16, 2], [37, 19, 0], [41, 17, 7], [35, 20, 0], [43, 17, 4], [40, 18, 5], [30, 22, 0], [53, 14, 0], [46, 16, 5], [36, 20, 0], [51, 14, 8], [45, 16, 10], [49, 15, 6], [48, 16, 1],

114

[44, 17, 6], [45, 17, 3], [54, 14, 2], [48, 16, 3], [49, 16, 0], [45, 17, 5], [52, 14, 11], [45, 17, 6], [44, 18, 1], [33, 22, 0], [50, 15, 11], [36, 21, 0], [42, 19, 1], [52, 15, 7], [55, 14, 8], [49, 16, 9], [47, 17, 6], [54, 14, 12], [52, 15, 9], [50, 16, 6], [53, 15, 6], [47, 17, 7], [41, 19, 8], [50, 16, 7], [42, 19, 5], [44, 19, 0], [57, 14, 5], [47, 18, 0], [37, 21, 5], [46, 18, 4], [49, 17, 4], [35, 22, 3], [45, 18, 9], [47, 18, 2], [42, 20, 0], [49, 17, 6], [43, 19, 7], [39, 21, 1], [45, 19, 2], [37, 22, 1], [46, 19, 0], [49, 18, 0], [34, 23, 3], [50, 17, 8], [58, 15, 0], [53, 16, 8], [47, 18, 10], [48, 18, 7], [50, 18, 0], [51, 17, 7], [47, 18, 12], [53, 17, 1], [43, 20, 6], [45, 20, 0], [48, 18, 10], [51, 18, 0], [46, 19, 8], [47, 19, 5], [50, 18, 5], [40, 22, 0], [48, 19, 3], [55, 16, 9], [40, 22, 2], [52, 17, 11], [38, 23, 0], [55, 16, 11], [47, 20, 1], [39, 23, 0], [54, 17, 8], [42, 22, 0], [54, 17, 9], [52, 18, 6], [47, 19, 15], [52, 18, 8], [49, 19, 9], [48, 19, 13], [52, 18, 9], [43, 22, 1], [52, 19, 0], [46, 21, 1], [51, 19, 4], [55, 18, 0], [54, 18, 4], [58, 17, 0],

[47, 20, 9], [52, 19, 2], [51, 19, 6], [54, 18, 6], [44, 22, 1], [48, 20, 8], [55, 17, 14], [62, 16, 0], [48, 20, 9], [53, 18, 12], [49, 20, 6], [56, 17, 12], [51, 20, 0], [54, 19, 0], [40, 24, 0], [57, 18, 1], [43, 23, 0], [37, 25, 1], [55, 18, 9], [52, 19, 10], [48, 21, 4], [52, 20, 0], [55, 18, 10], [37, 25, 3], [49, 20, 12], [58, 17, 11], [50, 20, 9], [57, 17, 15], [55, 18, 12], [53, 19, 9], [47, 22, 0], [56, 18, 9], [50, 20, 10], [59, 18, 0], [47, 22, 2], [39, 25, 0], [52, 20, 5], [56, 19, 1], [42, 24, 0], [55, 19, 5], [45, 23, 0], [58, 17, 15], [38, 24, 15], [48, 22, 0], [49, 21, 7], [52, 20, 7], [56, 18, 15], [42, 24, 4], [54, 19, 13], [52, 21, 0], [40, 25, 2], [57, 18, 13], [55, 20, 0], [49, 22, 1], [58, 18, 10], [53, 19, 18], [55, 20, 1], [54, 19, 15], [44, 24, 0], [61, 18, 1], [47, 23, 0], [52, 21, 3], [57, 19, 6], [61, 18, 2], [54, 19, 17], [56, 19, 10], [40, 25, 6], [56, 19, 11], [42, 25, 0], [61, 17, 14], [50, 21, 13], [59, 18, 12], [49, 21, 17], [53, 20, 13], [51, 21, 10], [56, 19, 13], [54, 20, 10], [47, 22, 15], [54, 20, 11], [40, 26, 0], [45, 24, 3], [48, 23, 3], [51, 21, 13], [53, 21, 6],

[49, 23, 0], [43, 25, 1], [51, 22, 4], [41, 25, 9], [58, 20, 0], [59, 19, 7], [58, 20, 1], [46, 24, 3], [51, 22, 6], [58, 19, 12], [51, 22, 8], [53, 22, 1], [58, 19, 14], [59, 19, 11], [55, 20, 16], [51, 23, 0], [41, 26, 5], [62, 19, 2], [54, 22, 0], [59, 20, 3], [53, 22, 4], [51, 23, 1], [57, 20, 11], [51, 23, 2], [54, 21, 12], [46, 25, 0], [57, 20, 12], [55, 21, 9], [58, 20, 9], [46, 24, 11], [60, 19, 13], [52, 22, 11], [57, 20, 14], [47, 23, 19], [55, 21, 11], [52, 22, 12], [55, 21, 12], [57, 21, 5], [58, 21, 2], [50, 24, 0], [67, 18, 1], [55, 22, 3], [49, 24, 4], [53, 23, 0], [50, 24, 1], [44, 26, 2], [46, 25, 6], [42, 27, 0], [47, 23, 23], [51, 23, 9], [55, 22, 5], [44, 26, 4], [57, 21, 9], [59, 21, 2], [47, 25, 4], [59, 20, 13], [57, 22, 0], [62, 19, 13], [54, 22, 11], [47, 24, 16], [56, 21, 15], [50, 23, 16], [62, 20, 4], [46, 26, 0], [59, 20, 15], [63, 20, 1], [57, 22, 2], [49, 25, 0], [60, 20, 12], [54, 23, 3], [52, 24, 0], [57, 22, 3], [55, 23, 0], [49, 25, 1], [43, 27, 2], [58, 22, 0], [51, 24, 5], [60, 21, 4], [54, 23, 5], [44, 27, 0], [53, 22, 19], [47, 26, 0], [58, 21, 12], [44, 27, 1],

[55, 22, 13], [58, 21, 13], [56, 22, 10], [50, 24, 11], [64, 19, 13], [62, 21, 0], [48, 25, 9], [61, 20, 14], [58, 21, 15], [56, 22, 12], [42, 28, 1], [51, 23, 20], [59, 21, 12], [45, 26, 11], [51, 25, 0], [58, 22, 6], [54, 24, 0], [61, 20, 16], [59, 22, 3], [48, 24, 22], [56, 23, 4], [48, 26, 2], [51, 25, 2], [43, 28, 0], [49, 24, 20], [52, 24, 10], [56, 23, 6], [55, 23, 10], [58, 22, 10], [63, 20, 13], [51, 24, 15], [53, 24, 8], [60, 21, 14], [52, 24, 12], [56, 23, 8], [58, 23, 1], [47, 27, 0], [50, 26, 0], [63, 21, 5], [55, 24, 3], [58, 23, 3], [52, 25, 4], [56, 24, 0], [44, 28, 2], [59, 23, 0], [47, 27, 2], [58, 23, 4], [56, 24, 1], [57, 22, 18], [45, 28, 0], [52, 25, 6], [61, 22, 5], [53, 25, 3], [60, 22, 9], [59, 22, 13], [53, 25, 4], [45, 28, 2], [56, 23, 14], [59, 22, 14], [57, 23, 11], [60, 22, 11], [48, 26, 13], [37, 30, 12], [62, 21, 15], [56, 23, 16], [52, 26, 0], [59, 22, 16], [49, 25, 21], [57, 23, 13], [63, 22, 2], [60, 22, 13], [54, 24, 14], [48, 26, 15], [52, 26, 1], [49, 26, 12], [61, 23, 0], [41, 30, 0], [64, 22, 0], [57, 24, 5], [49, 27, 3], [54, 24, 16], [56, 24, 9], [52, 26, 3], [59, 23, 9],

⊗ S ⊗ ⊗

[61, 23, 2], [50, 25, 21], [53, 25, 11], [57, 24, 7], [59, 23, 11], [61, 22, 15], [57, 24, 9], [59, 24, 2], [56, 24, 13], [51, 27, 1], [58, 23, 17], [54, 25, 11], [56, 25, 4], [60, 24, 0], [65, 22, 3], [59, 24, 4], [45, 29, 3], [62, 22, 14], [52, 26, 9], [56, 25, 5], [54, 26, 2], [48, 28, 3], [46, 29, 0], [57, 25, 2], [49, 28, 0], [64, 22, 8], [60, 24, 2], [46, 29, 1], [51, 25, 24], [49, 28, 1], [56, 25, 7], [54, 26, 4], [57, 25, 4], [60, 23, 14], [64, 22, 10], [54, 26, 5], [46, 29, 3], [53, 26, 9], [60, 23, 15], [58, 24, 12], [64, 23, 1], [44, 30, 1], [53, 27, 0], [56, 26, 0], [63, 22, 16], [57, 24, 17], [59, 25, 0], [60, 23, 17], [58, 24, 14], [52, 27, 5], [53, 25, 22], [61, 23, 14], [53, 27, 2], [58, 24, 15], [56, 26, 2], [48, 29, 0], [61, 24, 5], [51, 28, 0], [50, 26, 24], [58, 25, 6], [52, 27, 7], [54, 27, 0], [53, 25, 24], [51, 26, 21], [57, 25, 10], [54, 25, 21], [60, 24, 10], [65, 22, 13], [53, 26, 15], [58, 25, 8], [63, 23, 11], [57, 25, 12], [47, 29, 7], [60, 24, 12], [52, 28, 0], [65, 22, 15], [55, 26, 10], [62, 23, 16], [54, 26, 14], [60, 25, 3], [63, 23, 13], [57, 25, 14], [49, 29, 2], [54, 26, 15],

[64, 24, 0], [58, 26, 1], [52, 28, 2], [59, 24, 18], [53, 26, 19], [55, 26, 12], [47, 30, 0], [62, 23, 18], [60, 25, 5], [50, 29, 0], [63, 23, 15], [49, 29, 4], [56, 25, 20], [58, 26, 3], [52, 28, 4], [47, 28, 22], [61, 25, 3], [47, 30, 2], [52, 26, 25], [66, 23, 6], [54, 27, 8], [50, 29, 2], [57, 26, 8], [55, 27, 5], [56, 25, 22], [58, 26, 5], [61, 24, 15], [65, 23, 11], [47, 30, 4], [58, 25, 16], [61, 24, 16], [59, 25, 13], [65, 24, 2], [62, 24, 13], [60, 26, 0], [54, 28, 1], [55, 26, 18], [57, 27, 1], [64, 23, 17], [58, 25, 18], [60, 26, 1], [49, 30, 0], [54, 26, 23], [62, 24, 15], [56, 26, 16], [54, 28, 3], [59, 25, 16], [57, 27, 3], [55, 28, 0], [66, 24, 2], [58, 27, 0], [46, 31, 2], [59, 26, 7], [51, 29, 5], [54, 26, 25], [52, 27, 22], [58, 26, 11], [63, 25, 4], [64, 23, 21], [66, 23, 14], [52, 27, 23], [54, 27, 16], [59, 26, 9], [62, 25, 9], [61, 25, 13], [63, 25, 6], [53, 29, 1], [66, 23, 16], [62, 26, 0], [63, 24, 17], [59, 26, 11], [65, 25, 0], [45, 32, 0], [64, 24, 14], [52, 28, 16], [50, 30, 3], [69, 23, 7], [59, 27, 2], [53, 29, 3], [56, 27, 13], [58, 27, 6], [54, 29, 0], [63, 24, 19], [57, 28, 0],

[51, 30, 1], [56, 26, 24], [56, 28, 4], [59, 27, 4], [66, 24, 10], [62, 26, 4], [51, 30, 3], [64, 25, 8], [58, 27, 9], [63, 25, 12], [59, 27, 6], [62, 25, 16], [58, 28, 0], [57, 26, 24], [59, 26, 17], [55, 28, 11], [61, 27, 0], [62, 25, 17], [44, 30, 30], [60, 26, 14], [66, 25, 3], [63, 25, 14], [68, 23, 17], [47, 32, 0], [58, 28, 2], [50, 31, 0], [65, 24, 18], [55, 27, 23], [45, 31, 18], [47, 32, 1], [60, 26, 16], [56, 29, 0], [63, 25, 16], [53, 28, 21], [55, 29, 4], [59, 28, 0], [58, 28, 4], [62, 27, 0], [59, 26, 21], [47, 30, 23], [65, 26, 0], [66, 25, 7], [48, 32, 0], [53, 28, 23], [57, 27, 19], [55, 29, 6], [51, 31, 0], [67, 24, 15], [57, 28, 10], [56, 28, 14], [60, 27, 10], [65, 25, 13], [59, 27, 14], [68, 24, 13], [62, 26, 14], [64, 26, 7], [66, 26, 0], [67, 24, 17], [57, 28, 12], [69, 25, 0], [63, 27, 1], [64, 25, 18], [62, 27, 5], [66, 26, 1], [52, 31, 0], [65, 25, 15], [59, 27, 16], [55, 30, 0], [56, 28, 17], [60, 28, 3], [54, 30, 4], [59, 28, 7], [63, 27, 3], [49, 32, 2], [64, 25, 20], [64, 27, 0], [52, 31, 2], [65, 25, 17], [59, 28, 8], [57, 29, 5], [60, 28, 5], [63, 27, 5], [54, 28, 27], [65, 26, 9],

[64, 26, 13], [70, 25, 2], [60, 28, 7], [62, 28, 0], [63, 26, 17], [67, 25, 13], [57, 29, 8], [59, 29, 1], [60, 27, 18], [62, 28, 1], [63, 26, 18], [61, 27, 15], [67, 26, 4], [51, 32, 0], [64, 26, 15], [54, 31, 0], [57, 30, 0], [66, 25, 19], [56, 28, 24], [58, 28, 17], [68, 26, 2], [62, 28, 3], [60, 29, 0], [63, 28, 0], [57, 30, 1], [51, 32, 2], [56, 28, 25], [64, 26, 17], [58, 28, 18], [70, 25, 6], [56, 30, 5], [60, 29, 1], [61, 27, 18], [63, 27, 11], [59, 29, 5], [64, 27, 8], [67, 26, 8], [61, 28, 9], [57, 30, 3], [64, 27, 9], [56, 30, 7], [63, 27, 13], [53, 31, 8], [68, 25, 16], [54, 29, 25], [56, 29, 18], [57, 29, 15], [61, 28, 11], [66, 26, 14], [70, 26, 0], [69, 25, 14], [63, 27, 15], [55, 31, 3], [68, 25, 18], [58, 29, 13], [70, 26, 1], [64, 28, 2], [56, 31, 0], [65, 26, 19], [57, 29, 17], [63, 28, 6], [67, 27, 2], [59, 30, 0], [53, 32, 1], [46, 33, 16], [50, 32, 12], [62, 29, 0], [56, 31, 1], [55, 31, 5], [62, 27, 21], [56, 29, 22], [60, 29, 8], [65, 28, 1], [53, 32, 3], [51, 33, 0], [58, 28, 26], [66, 26, 18], [56, 30, 13], [58, 30, 6], [61, 29, 6], [57, 31, 0], [64, 28, 6], [56, 30, 15], [58, 30, 8],

[65, 27, 14], [63, 29, 1], [64, 27, 18], [50, 31, 27], [60, 30, 2], [50, 33, 7], [52, 33, 0], [59, 28, 26], [55, 32, 0], [64, 27, 19], [62, 28, 16], [68, 27, 5], [65, 27, 16], [69, 27, 2], [61, 30, 0], [55, 32, 1], [70, 25, 19], [60, 30, 4], [64, 29, 0], [58, 31, 1], [57, 29, 25], [69, 27, 3], [63, 29, 4], [67, 28, 0], [61, 30, 1], [64, 27, 21], [54, 30, 26], [62, 28, 18], [72, 26, 3], [64, 29, 1], [52, 33, 3], [50, 34, 0], [57, 29, 26], [65, 27, 18], [59, 29, 19], [71, 26, 7], [73, 26, 0], [57, 31, 6], [53, 33, 0], [62, 28, 19], [66, 28, 5], [60, 30, 6], [56, 32, 0], [69, 27, 5], [72, 25, 15], [68, 27, 9], [62, 29, 10], [54, 32, 8], [59, 29, 21], [61, 29, 14], [65, 28, 10], [64, 28, 14], [69, 26, 17], [55, 30, 26], [59, 30, 12], [71, 27, 0], [67, 27, 15], [61, 29, 16], [65, 28, 12], [70, 26, 15], [64, 28, 16], [56, 32, 4], [60, 31, 0], [69, 26, 19], [65, 29, 3], [63, 30, 0], [57, 32, 1], [66, 27, 20], [62, 29, 14], [68, 28, 3], [66, 29, 0], [60, 31, 1], [69, 26, 20], [67, 27, 17], [70, 26, 17], [58, 30, 19], [72, 27, 0], [69, 27, 11], [65, 29, 5], [66, 29, 2], [58, 32, 0], [67, 27, 19], [59, 31, 7], [64, 29, 10],

[62, 30, 7], [56, 32, 8], [56, 30, 29], [70, 27, 10], [58, 31, 12], [59, 29, 29], [50, 35, 0], [61, 30, 12], [62, 30, 9], [64, 30, 2], [56, 33, 0], [65, 28, 19], [73, 27, 1], [53, 34, 1], [58, 31, 14], [64, 30, 3], [62, 31, 0], [65, 28, 20], [63, 29, 17], [67, 28, 13], [57, 31, 18], [69, 28, 6], [65, 30, 0], [66, 28, 17], [72, 27, 6], [68, 29, 0], [56, 33, 2], [71, 26, 20], [59, 32, 2], [58, 30, 26], [64, 30, 5], [62, 31, 2], [54, 34, 0], [55, 31, 27], [63, 29, 19], [73, 27, 4], [65, 30, 2], [53, 34, 4], [51, 35, 1], [66, 28, 19], [60, 30, 20], [62, 31, 3], [54, 34, 1], [59, 30, 24], [61, 31, 7], [51, 35, 2], [70, 28, 6], [54, 33, 12], [44, 36, 17], [71, 26, 23], [73, 26, 16], [69, 28, 10], [63, 30, 11], [57, 32, 12], [59, 32, 5], [62, 30, 15], [66, 29, 11], [58, 32, 9], [59, 30, 26], [65, 29, 15], [51, 34, 14], [55, 33, 10], [70, 27, 18], [49, 36, 1], [56, 31, 27], [60, 31, 13], [63, 30, 13], [61, 32, 0], [68, 28, 16], [66, 29, 13], [64, 31, 0], [71, 27, 16], [65, 29, 17], [69, 29, 3], [70, 27, 20], [66, 30, 4], [58, 33, 2], [50, 36, 0], [69, 29, 4], [67, 30, 1], [61, 32, 2], [68, 28, 18], [62, 30, 19], [70, 29, 1],

[59, 31, 20], [75, 27, 4], [59, 33, 0], [70, 28, 12], [60, 31, 17], [62, 31, 10], [62, 32, 0], [63, 29, 27], [67, 28, 23], [73, 27, 12], [67, 30, 3], [55, 34, 5], [68, 28, 20], [62, 31, 11], [60, 32, 8], [65, 30, 11], [63, 31, 8], [67, 30, 4], [57, 33, 9], [57, 31, 30], [51, 33, 31], [71, 28, 11], [59, 32, 13], [57, 34, 0], [68, 29, 12], [62, 31, 13], [61, 30, 27], [67, 29, 16], [71, 28, 12], [65, 31, 3], [66, 29, 20], [70, 28, 16], [60, 32, 11], [62, 32, 4], [66, 31, 0], [75, 26, 19], [63, 32, 1], [57, 34, 2], [51, 36, 3], [66, 29, 21], [70, 29, 7], [66, 31, 1], [54, 35, 3], [52, 36, 0], [67, 29, 18], [71, 29, 4], [57, 34, 3], [55, 35, 0], [60, 33, 3], [58, 34, 0], [69, 28, 22], [59, 31, 27], [61, 31, 20], [66, 29, 23], [64, 30, 20], [70, 29, 9], [58, 33, 11], [66, 31, 3], [60, 33, 4], [59, 31, 28], [67, 29, 20], [75, 28, 2], [59, 33, 8], [63, 32, 4], [67, 31, 0], [55, 35, 2], [60, 31, 25], [64, 30, 21], [68, 30, 7], [62, 32, 8], [44, 37, 21], [70, 29, 11], [64, 31, 12], [67, 30, 12], [72, 28, 15], [68, 30, 9], [52, 35, 15], [62, 33, 0], [50, 37, 2], [57, 32, 28], [49, 35, 26], [61, 32, 14], [55, 34, 15], [65, 32, 0],

[74, 27, 19], [64, 31, 14], [48, 36, 20], [69, 29, 17], [81, 26, 5], [63, 31, 18], [71, 30, 0], [53, 35, 13], [65, 32, 1], [66, 30, 18], [70, 30, 4], [74, 29, 0], [54, 36, 0], [67, 31, 5], [57, 35, 0], [68, 29, 22], [60, 32, 20], [66, 31, 9], [70, 30, 5], [68, 31, 2], [60, 34, 0], [69, 29, 19], [75, 28, 8], [71, 30, 2], [59, 34, 4], [63, 33, 0], [51, 37, 2], [64, 32, 7], [60, 34, 1], [61, 32, 18], [53, 36, 6], [76, 28, 6], [66, 31, 11], [61, 31, 29], [69, 29, 21], [63, 32, 12], [64, 30, 29], [68, 31, 5], [67, 31, 9], [58, 35, 1], [69, 30, 13], [63, 32, 14], [67, 32, 0], [82, 25, 18], [62, 31, 28], [46, 36, 34], [68, 30, 17], [64, 32, 11], [66, 32, 4], [70, 31, 0], [67, 30, 21], [71, 29, 17], [57, 34, 16], [61, 33, 12], [63, 33, 5], [55, 36, 3], [62, 31, 29], [76, 29, 0], [66, 32, 5], [64, 33, 2], [58, 35, 3], [56, 36, 0], [67, 30, 22], [65, 31, 19], [71, 30, 8], [45, 38, 19], [67, 32, 2], [72, 28, 25], [53, 37, 1], [68, 30, 19], [72, 30, 5], [60, 34, 7], [58, 35, 4], [73, 28, 22], [63, 33, 7], [61, 34, 4], [59, 35, 1], [60, 32, 28], [64, 31, 24], [66, 32, 7], [64, 33, 4], [68, 32, 0], [73, 28, 23], [65, 31, 21],

[59, 34, 12], [67, 32, 4], [60, 32, 29], [68, 30, 21], [51, 38, 0], [54, 35, 20], [48, 38, 11], [56, 36, 3], [61, 32, 26], [67, 31, 15], [63, 33, 9], [45, 38, 22], [56, 35, 14], [73, 28, 25], [59, 34, 14], [58, 33, 28], [64, 32, 17], [68, 31, 13], [73, 29, 16], [67, 31, 17], [69, 31, 10], [60, 33, 22], [62, 33, 15], [72, 31, 0], [65, 32, 15], [47, 37, 28], [63, 34, 2], [55, 37, 0], [70, 30, 18], [64, 32, 19], [68, 31, 15], [52, 36, 21], [78, 29, 0], [72, 31, 1], [66, 33, 2], [58, 36, 0], [52, 38, 1], [67, 31, 19], [69, 31, 12], [71, 31, 5], [59, 35, 7], [55, 37, 1], [62, 33, 17], [68, 32, 6], [64, 34, 0], [69, 30, 23], [67, 32, 10], [69, 32, 3], [63, 34, 4], [67, 33, 0], [57, 36, 5], [70, 30, 20], [52, 38, 3], [61, 33, 22], [65, 33, 8], [53, 38, 0], [72, 30, 14], [62, 33, 19], [68, 32, 8], [54, 37, 7], [56, 37, 0], [67, 32, 12], [53, 37, 11], [62, 32, 30], [76, 29, 11], [64, 33, 13], [62, 34, 10], [65, 33, 10], [69, 32, 6], [59, 35, 11], [66, 31, 27], [68, 32, 10], [73, 30, 13], [61, 34, 15], [57, 36, 9], [60, 34, 19], [64, 33, 15], [74, 31, 0], [68, 33, 1], [63, 32, 29], [69, 31, 18], [65, 33, 12], [67, 33, 5], [71, 32, 1],

[57, 37, 0], [72, 30, 18], [76, 30, 4], [64, 34, 6], [54, 37, 11], [56, 37, 4], [60, 36, 0], [55, 35, 28], [67, 33, 6], [65, 34, 3], [59, 36, 4], [68, 31, 23], [70, 31, 16], [72, 31, 9], [68, 33, 3], [73, 29, 26], [73, 31, 6], [71, 32, 3], [57, 37, 2], [62, 35, 5], [71, 30, 24], [63, 33, 22], [79, 29, 6], [73, 31, 7], [67, 33, 8], [65, 34, 5], [66, 32, 22], [76, 30, 7], [60, 35, 13], [62, 35, 6], [54, 38, 4], [69, 31, 22], [57, 37, 4], [70, 32, 9], [64, 34, 10], [50, 39, 9], [65, 32, 27], [77, 29, 15], [73, 31, 9], [57, 36, 15], [67, 34, 0], [53, 38, 9], [66, 33, 14], [62, 35, 8], [64, 35, 1], [61, 33, 32], [65, 33, 18], [69, 32, 14], [67, 34, 1], [62, 33, 29], [74, 30, 17], [70, 32, 11], [58, 36, 13], [73, 30, 21], [75, 31, 4], [76, 29, 21], [59, 37, 0], [78, 29, 14], [66, 33, 16], [62, 36, 0], [71, 31, 19], [69, 32, 16], [73, 32, 2], [67, 34, 3], [65, 35, 0], [78, 29, 15], [68, 32, 20], [70, 32, 13], [72, 32, 6], [58, 36, 15], [68, 34, 0], [62, 36, 1], [73, 30, 23], [63, 34, 18], [69, 33, 7], [65, 35, 1], [68, 33, 11], [71, 31, 21], [54, 39, 0], [65, 33, 22], [73, 32, 4], [61, 36, 6], [66, 34, 9], [62, 36, 3],

Colour Lıbrary

[73, 31, 15], [65, 34, 13], [69, 33, 9], [74, 31, 12], [78, 30, 8], [56, 36, 25], [68, 33, 13], [62, 35, 14], [63, 33, 31], [71, 31, 23], [61, 35, 18], [66, 32, 31], [64, 33, 28], [66, 34, 11], [54, 38, 13], [73, 31, 17], [75, 32, 0], [74, 31, 14], [62, 35, 16], [71, 32, 15], [69, 34, 2], [64, 33, 30], [61, 37, 0], [74, 31, 15], [66, 34, 13], [72, 33, 2], [58, 38, 1], [69, 32, 23], [73, 31, 19], [63, 35, 14], [65, 35, 7], [78, 29, 22], [64, 33, 31], [61, 37, 1], [68, 34, 7], [66, 35, 4], [70, 34, 0], [60, 37, 5], [67, 33, 21], [71, 32, 17], [69, 34, 4], [51, 39, 17], [55, 39, 3], [70, 32, 21], [76, 31, 10], [62, 36, 9], [60, 37, 6], [58, 38, 3], [81, 30, 3], [65, 35, 9], [63, 36, 6], [61, 37, 3], [62, 34, 30], [70, 34, 2], [62, 37, 0], [61, 36, 14], [57, 38, 8], [70, 32, 23], [56, 37, 22], [66, 35, 7], [68, 35, 0], [58, 38, 5], [81, 29, 15], [63, 34, 28], [69, 33, 17], [51, 40, 10], [66, 33, 28], [78, 30, 16], [70, 33, 14], [77, 30, 20], [65, 36, 2], [57, 39, 0], [70, 33, 15], [74, 33, 1], [63, 34, 30], [60, 38, 0], [57, 36, 31], [54, 40, 1], [71, 33, 12], [77, 32, 1], [63, 37, 0], [57, 39, 1], [66, 36, 0], [60, 38, 1],

[65, 36, 4], [82, 29, 15], [72, 32, 20], [84, 29, 8], [56, 38, 16], [68, 35, 4], [75, 31, 20], [79, 30, 16], [69, 33, 21], [77, 32, 3], [63, 37, 2], [78, 30, 20], [57, 39, 3], [82, 30, 6], [64, 35, 19], [78, 32, 0], [62, 37, 6], [66, 36, 2], [58, 39, 0], [69, 34, 12], [81, 31, 0], [65, 36, 6], [70, 32, 29], [72, 32, 22], [55, 40, 1], [74, 33, 5], [56, 38, 18], [67, 35, 10], [63, 37, 4], [62, 35, 28], [64, 35, 21], [66, 35, 14], [67, 33, 31], [69, 34, 14], [71, 34, 7], [64, 34, 32], [78, 31, 13], [60, 36, 26], [64, 36, 12], [76, 33, 0], [69, 34, 15], [73, 34, 1], [86, 28, 16], [74, 32, 18], [70, 34, 12], [76, 33, 1], [58, 38, 14], [62, 38, 0], [77, 31, 18], [63, 36, 17], [61, 38, 4], [65, 37, 0], [78, 31, 15], [72, 33, 16], [62, 36, 21], [84, 30, 4], [66, 35, 17], [70, 35, 3], [65, 34, 31], [75, 32, 16], [67, 35, 14], [79, 32, 2], [69, 35, 7], [71, 35, 0], [70, 33, 24], [74, 32, 20], [82, 31, 2], [74, 34, 0], [83, 29, 19], [58, 39, 6], [69, 35, 8], [67, 36, 5], [71, 35, 1], [70, 33, 25], [57, 40, 0], [72, 33, 18], [74, 33, 11], [70, 35, 5], [58, 39, 7], [56, 40, 4], [71, 33, 22], [79, 32, 4], [59, 39, 4], (more...)

→

BD2A9704 RGB - IQ.png

BD2A9704 RGB - rand.png

BD2A9704 RGB - sortR.png

Colour Lıbrary

BD2A9704 RGB - sortG.png

⊗ S ⊗ ⊗

BD2A9704 RGB - sortB.png

115

3D PLOT (HSB)

L

a

b BD2A0288 RGB.png

WIDTH

3173PX

HEIGHT

3173PX

SIZE

4.505.729 BYTES

PIXEL SIZE

1X1PIXEL^2

BITS PER PIXEL

32 (RGB)

COLOR PROFILE

SRGB IEC61966-2.1

UNIQUE COLORS

84.725

CAMERA

CANON EOS 5D MARK IV

LOCATION

50.95726, 5.27753

TIME

2020-12-07 T10:02:22+02:00

→

[91, 41, 34], [132, 104, 90], [193, 122, 66], [85, 48, 39], [210, 172, 133], [191, 127, 89], [251, 208, 163], [163, 115, 75], [138, 74, 26], [144, 108, 82], [159, 93, 35], [191, 111, 74], [139, 120, 114], [87, 57, 46], [97, 70, 59], [105, 59, 43], [97, 79, 75], [197, 140, 95], [206, 135, 103], [141, 104, 96], [209, 188, 185], [187, 152, 124], [200, 158, 120], [107, 46, 17], [141, 86, 66], [214, 130, 94], [74, 47, 28], [193, 167, 150], [186, 154, 131], [246, 241, 237], [162, 92, 40], [217, 151, 129], [67, 39, 25], [84, 46, 25], [106, 89, 79], [144, 74, 48], [137, 78, 48], [170, 111, 69], [127, 90, 63], [244, 240, 231], [103, 98, 94], [94, 48, 15], [174, 121, 107], [113, 63, 40], [135, 125, 126], [225, 186, 171], [176, 163, 157], [137, 76, 45], [103, 70, 37], [252, 228, 204], [153, 87, 37], [174, 160, 157], [71, 57, 46], [183, 102, 83], [118, 85, 76], [166, 127, 86], [175, 114, 60], [194, 119, 64], [102, 101, 99], [73, 42, 40], [246, 203, 152], [230, 200, 166], [110, 79, 61], [143, 107, 95], [176, 130, 104], [130, 106, 94], [185, 144, 112], [211, 185, 168], [115, 109, 113], [82, 60, 37], [228, 171, 126], [246, 188, 140], [211, 134, 82], [185, 139, 123], [98, 41, 21], [145, 128, 121], [133, 129, 126], [165, 117, 97], [94, 67, 50], [165, 129, 93], [109, 90, 76], [194, 132, 83], [225, 167, 117], [73, 36, 17], [160, 85, 64], [176, 159, 139], [209, 205, 204], [222, 147, 105], [161, 117, 78], [198, 168, 132], [181, 122, 82], [140, 78, 65], [173, 110, 69], [212, 198, 195], [234, 203, 172], [223, 156, 129], [191, 108, 66], [182, 111, 83], [215, 194, 191], [182, 131, 112], [193, 122, 78], [79, 33, 9], [218, 168, 117], [153, 135, 125], [221, 169, 132], [216, 172, 133], [195, 149, 133], [178, 112, 52], [113, 51, 36], [184, 152, 137], [206, 123, 89], [80, 46, 21], [109, 102, 109], [237, 198, 167], [95, 51, 26], [218, 204, 195], [118, 96, 75], [110, 90, 66], [116, 104, 108], [219, 200, 186], [151, 95, 80], [151, 84, 67], [201, 181, 174], [225, 163, 116], [164, 147, 117], [95, 59, 45], [229, 166, 122], [242, 238, 227], [253, 217, 219], [153, 127, 112], [195, 175, 174], [147, 98, 68], [136, 86, 61], [167, 135, 120], [142, 125, 109], [155, 83, 59], [149, 123, 108], [209, 130, 99], [92, 55, 28], [160, 109, 66], [176, 98, 75], [241, 197, 148], [108, 52, 29], [179, 136, 102], [214, 155, 113], [108, 49, 31], [242, 180, 121], [132, 87, 58], [186, 157, 149], [156, 127, 121], [241, 177, 129], [124, 76, 72], [220, 177, 135], [116, 69, 61], [237, 183, 136], [138, 87, 68], [182, 140, 118], [212, 207, 187], [118, 68, 35], [78, 53, 33], [88, 45, 36], [122, 109, 90], [183, 120, 67], [180, 128, 88], [218, 163, 106], [237, 194, 178], [214, 175, 136], [226, 179, 123], [173, 94, 64], [121, 67, 31], [196, 160, 134], [240, 201, 162], [85, 51, 24], [132, 91, 71], [223, 180, 146], [178, 104, 59], [103, 60, 41], [91, 64, 43], [165, 111, 67], [167, 124, 108], [190, 191, 196], [129, 60, 29], [183, 99, 55], [225, 180, 159], [128, 85, 78], [192, 124, 77], [192, 183, 178], [103, 85, 73], [177, 104, 51], [248, 214, 189], [127, 81, 58], [158, 114, 85], [191, 155, 121], [227, 224, 217], [84, 78, 92], [168, 95, 40], [252, 227, 207], [215, 202, 193], [209, 192, 185], [118, 85, 70], [160, 117, 82], [196, 168, 129], [63, 23, 13], [197, 167, 143], [69, 24, 19], [141, 119, 98], [209, 156, 104], [219, 184, 178], [201, 152, 96], [204, 161, 142], [172, 124, 112], [190, 119, 67], [190, 144, 121], [87, 39, 25], [140, 92, 56], [169, 108, 79], [197, 116, 73], [217, 207, 205], [208, 127, 71], [146, 120, 107], [114, 59, 28], [253, 209, 170], [148, 117, 96], [224, 140, 93], [144, 99, 76], [208, 144, 116], [128, 63, 41], [187, 161, 146], [130, 102, 90], [174, 145, 127], [92, 50, 36], [184, 154, 144], [112, 48, 12], [172, 134, 113], [181, 122, 90], [116, 91, 86], [119, 113, 117], [249, 250, 252], [241, 194, 168], [248, 242, 242], [211, 149, 102], [198, 156, 106], [114, 80, 70], [169, 128, 106], [137, 107, 96], [103, 88, 69], [153, 116, 100], [218, 145, 104], [219, 196, 182], [224, 180, 145], [111, 69, 47], [230, 148, 110], [191, 116, 76], [165, 136, 122], [123, 87, 75], [124, 59, 37], [110, 86, 84], [130, 73, 56], [198, 131, 89], [174, 109, 69], [209, 128, 75], [138, 91, 83], [252, 239, 231], [253, 220, 205], [155, 112, 69], [129, 127, 128], [177, 145, 134], [210, 138, 90], [133, 59, 32], [230, 171, 129], [140, 97, 81], [97, 78, 71], [190, 120, 61], [231, 227, 224], [168, 92, 40], [169, 108, 87], [175, 136, 121], [188, 180, 169], [180, 104, 52], [122, 56, 34], [171, 154, 147], [246, 207, 166], [153, 110, 94], [110, 91, 85], [189, 137, 116], [240, 200, 149], [239, 186, 134], [184, 153, 124], [110, 78, 63], [249, 188, 131], [171, 109, 96], [167, 143, 133], [193, 137, 112], [255, 249, 241], [98, 88, 86], [172, 124, 110], [209, 171, 135], [152, 89, 54], [223, 165, 115], [245, 197, 161], [253, 223, 185], [189, 114, 74], [66, 74, 77], [184, 99, 44], [152, 96, 49], [158, 95, 42], [244, 178, 117], [136, 85, 64], [167, 101, 43], [104, 85, 70], [219, 136, 104], [220, 205, 182], [155, 83, 35], [236, 209, 179], [216, 174, 150], [243, 225, 201], [238, 230, 227], [245, 201, 164], [245, 218, 191], [192, 115, 85], [209, 184, 179], [184, 131, 87], [175, 96, 57], [159, 100, 60], [182, 117, 95], [112, 57, 36], [197, 147, 120], [156, 105, 84], [221, 147, 100], [208, 182, 149], [157, 146, 144], [221, 191, 157], [168, 159, 144], [199, 128, 86], [107, 58, 44], [133, 89, 64], [146, 114, 89], [236, 182, 136], [143, 135, 132], [161, 98, 80], [188, 154, 127], [246, 219, 208], [202, 163, 124], [124, 66, 44], [243, 168, 136], [186, 155, 134], [155, 88, 71], [137, 88, 74], [125, 61, 33], [205, 203, 204], [214, 128, 69], [107, 48, 30], [228, 153, 98], [217, 135, 97], [169, 103, 53], [145, 105, 80], [251, 241, 239], [74, 47, 26], [201, 166, 146], [213, 184, 140], [196, 145, 98], [187, 115, 77], [148, 128, 104], [78, 33, 12], [203, 110, 51], [197, 131, 73], [140, 82, 58], [122, 94, 70], [156, 109, 101], [193, 165, 141], [189, 146, 127], [205, 115, 78], [206, 171, 141], [138, 77, 59], [91, 62, 54], [163, 100, 56], [223, 152, 108], [75, 37, 28], [201, 117, 80], [203, 147, 120], [166, 97, 81], [106, 64, 50], [198, 160, 149], [159, 92, 76], [113, 61, 22], [129, 73, 46], [223, 142, 89], [178, 133, 110], [131, 90, 58], [125, 85, 60], [255, 253, 250], [212, 145, 126], [144, 77, 35], [127, 60, 15], [215, 192, 174], [60, 20, 12], [180, 157, 141], [202, 149, 109], [156, 134, 123], [109, 75, 74], [190, 125, 71], [178, 98, 73], [212, 157, 101], [226, 197, 155], [133, 69, 23], [182, 99, 67], [166, 128, 115], [192, 149, 104], [135, 112, 94], [233, 205, 168], [106, 55, 38], [147, 84, 33], [254, 192, 133], [210, 156, 122], [255, 208, 154], [235, 201, 166], [165, 128, 99], [179, 99, 74], [166, 97, 55], [108, 54, 16], [101, 54, 36], [238, 197, 175], [176, 100, 42], [138, 82, 69], [97, 68, 64], [206, 129, 87], [44, 29, 22], [124, 94, 70], [155, 95, 84], [213, 166, 124], [215, 176, 147], [106, 66, 40], [243, 219, 207], [229, 158, 116], [189, 156, 139], [106, 70, 54], [226, 173, 119], [182, 98, 62], [159, 103, 88], [51, 33, 29], [71, 35, 21], [134, 109, 105], [228, 197, 176], [108, 95, 89], [138, 129, 124], [171, 156, 149], [211, 154, 127], [138, 80, 42], [193, 156, 127], [91, 48, 42], [164, 104, 93], [192, 121, 69], [252, 219, 188], [217, 171, 121], [187, 145, 105], [157, 92, 74], [154, 116, 79], [199, 157, 117], [191, 162, 154], [123, 74, 59], [168, 129, 98], [164, 110, 63], [202, 120, 70], [221, 165, 108], [110, 94, 94], [149, 109, 74], [190, 149, 121], [54, 37, 29], [178, 103, 63], [159, 104, 65], [151, 95, 72], [136, 101, 81], [215, 160, 103], [116, 61, 40], [202, 156, 106], [166, 104, 47], [193, 122, 80], [197, 145, 98], [178, 143, 115], [230, 213, 187], [110, 93, 86], [244, 226, 206], [97, 66, 45], [143, 123, 99], [124, 86, 73], [113, 68, 37], [125, 72, 32], [160, 87, 52], [90, 65, 68], [183, 150, 107], [235, 169, 121], [238, 205, 174], [253, 211, 161], [160, 112, 92], [112, 48, 20], [178, 131, 103], [250, 186, 125], [135, 70, 52], [184, 115, 74], [249, 161, 97], [202, 139, 104], [136, 97, 80], [178, 115, 82], [177, 148, 134], [237, 233, 230], [245, 216, 200], [187, 125, 104], [80, 58, 45], [140, 68, 44], [152, 102, 69], [222, 173, 143], [252, 216, 192], [193, 123, 89], [168, 132, 100], [66, 36, 26], [64, 22, 8], [240, 173, 128], [95, 53, 55], [228, 214, 205], [171, 120, 103], [174, 128, 94], [179, 114, 82], [180, 106, 67], [183, 105, 69], [226, 156, 104], [228, 163, 123], [152, 80, 58], [155, 121, 96], [247, 251, 252], [94, 79, 74], [136, 117, 87], [179, 97, 59], [182, 179, 172], [84, 65, 50], [226, 162, 126], [145, 106, 99], [197, 129, 68], [189, 122, 70], [243, 208, 202], [209, 193, 178], [222, 163, 129], [183, 155, 141], [156, 125, 94], [216, 206, 194], [254, 247, 239], [195, 138, 85], [122, 56, 24], [172, 99, 44], [102, 76, 77], [101, 60, 42], [94, 58, 36], [105, 75, 65], [181, 122, 80], [203, 151, 130], [173, 131, 117], [174, 118, 91], [179, 109, 84], [182, 149, 142], [119, 66, 24], [88, 55, 36], [112, 90, 76], [174, 140, 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116

⊗ ⊗ F ⊗

Colour Lıbrary

→

BD2A0288 RGB - IQ.png

BD2A0288 RGB - rand.png

BD2A0288 RGB - sortR.png

Colour Lıbrary

BD2A0288 RGB - sortG.png

⊗ ⊗ F ⊗

BD2A0288 RGB - sortB.png

117

3D PLOT (HSB)

L

a

b BD2A0304 RGB.png

WIDTH

4000PX

HEIGHT

4000PX

SIZE

4.434.774 BYTES

PIXEL SIZE

1X1PIXEL^2

BITS PER PIXEL

32 (RGB)

COLOR PROFILE

SRGB IEC61966-2.1

UNIQUE COLORS

39.511

CAMERA

CANON EOS 5D MARK IV

LOCATION

50.93887, 5.30578

TIME

2019-12-22 T14:34:11+02:00

→

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41], [211, 193, 189], [86, 73, 65], [130, 105, 83], [180, 131, 91], [183, 150, 135], [193, 146, 94], [212, 173, 142], [176, 135, 115], [142, 111, 83], [144, 102, 60], [142, 85, 55], [149, 108, 86], [180, 137, 95], [169, 114, 83], [141, 111, 109], [125, 93, 68], [167, 125, 113], [116, 79, 73], [102, 62, 50], [166, 125, 69], [106, 72, 45], [124, 103, 84], [204, 141, 97], [159, 149, 150], [170, 119, 90], [208, 168, 116], [164, 134, 106], [195, 157, 121], [184, 124, 74], [168, 128, 118], [128, 95, 90], [147, 120, 99], [107, 76, 58], [92, 54, 35], [159, 130, 116], [101, 66, 47], [128, 94, 92], [201, 163, 140], [209, 178, 150], [109, 66, 47], [119, 77, 65], [130, 117, 108], [81, 72, 75], [209, 148, 104], [156, 115, 87], [223, 198, 168], [138, 109, 93], [151, 101, 68], [189, 138, 109], [118, 86, 71], [154, 132, 121], [93, 66, 59], [97, 72, 67], [162, 127, 95], [178, 155, 139], [145, 128, 120], [206, 194, 182], [185, 161, 151], [148, 134, 133], [114, 94, 95], [181, 162, 158], [158, 103, 83], [187, 142, 113], [125, 88, 80], [212, 164, 124], [138, 111, 94], [171, 126, 84], [129, 99, 71], [181, 134, 106], [134, 85, 45], [138, 115, 109], [156, 124, 103], [212, 177, 147], [165, 148, 132], [166, 146, 145], [164, 114, 65], [151, 93, 71], [152, 119, 84], [144, 137, 145], [179, 166, 158], [174, 117, 72], [148, 105, 71], [200, 163, 145], [136, 102, 92], [223, 221, 222], [204, 146, 108], [168, 139, 121], [203, 162, 140], [203, 168, 138], [185, 177, 175], [126, 101, 97], [200, 185, 182], [130, 98, 75], [167, 116, 71], [198, 188, 176], [152, 97, 56], [103, 72, 51], [107, 81, 64], [103, 64, 57], [152, 144, 142], [88, 54, 44], [192, 172, 174], [118, 96, 83], [157, 122, 84], [179, 156, 142], [107, 67, 59], [121, 92, 76], [162, 128, 116], [149, 127, 106], [95, 56, 41], [159, 103, 76], [177, 131, 82], [44, 33, 29], [176, 124, 87], [201, 151, 102], [190, 156, 129], [81, 55, 42], [155, 103, 63], [122, 105, 89], [122, 101, 100], [112, 82, 72], [194, 132, 91], [186, 129, 99], [155, 109, 73], [150, 105, 84], [221, 207, 204], [156, 142, 131], [225, 218, 210], [132, 100, 77], [167, 132, 104], [168, 138, 130], [147, 104, 61], [139, 128, 122], [209, 192, 185], [153, 115, 106], [191, 154, 135], [119, 90, 72], [116, 78, 42], [160, 125, 106], [170, 112, 75], [149, 100, 59], [182, 144, 95], [149, 104, 71], [94, 55, 40], [204, 194, 192], [74, 45, 37], [201, 155, 129], [99, 75, 65], [199, 155, 116], [158, 126, 105], [135, 89, 63], [188, 170, 160], [102, 79, 61], [198, 193, 199], [133, 114, 118], [150, 129, 126], [151, 130, 111], [172, 158, 158], [200, 151, 119], [184, 130, 86], [190, 142, 102], [115, 87, 84], [174, 122, 98], [214, 205, 206], [118, 87, 58], [194, 165, 147], [113, 79, 69], [130, 96, 68], [103, 66, 37], [118, 78, 42], [163, 124, 109], [171, 139, 126], [251, 250, 248], [192, 163, 149], [131, 96, 64], [145, 86, 56], [137, 84, 50], [110, 92, 92], [150, 114, 102], [197, 159, 122], [105, 71, 59], [151, 131, 107], [123, 90, 57], [190, 155, 125], [100, 71, 55], [152, 110, 68], [110, 74, 48], [87, 62, 58], [147, 127, 118], [103, 62, 44], [112, 102, 111], [246, 210, 178], [222, 206, 170], [101, 81, 70], [177, 138, 97], [219, 209, 207], [100, 77, 63], [114, 92, 95], [93, 70, 62], [131, 116, 113], [193, 157, 131], [153, 123, 97], [220, 202, 192], [83, 78, 82], [188, 130, 93], [181, 161, 150], [174, 114, 60], [146, 123, 107], [118, 83, 64], [105, 70, 42], [213, 161, 114], [220, 174, 141], [203, 162, 142], [150, 122, 101], [170, 146, 146], [59, 41, 31], [192, 157, 103], [215, 164, 121], [188, 134, 106], [94, 83, 81], [197, 179, 169], [71, 45, 30], [164, 146, 136], [125, 91, 82], [189, 126, 85], [110, 65, 42], [97, 70, 63], [145, 92, 58], [78, 59, 53], [185, 137, 91], [163, 124, 85], [109, 67, 43], [110, 67, 58], [199, 161, 125], [117, 99, 79], [121, 88, 69], [116, 69, 43], [152, 117, 97], [178, 138, 113], [185, 169, 172], [84, 54, 46], [193, 166, 155], [85, 49, 35], [119, 91, 70], [216, 155, 111], [253, 255, 252], [184, 132, 75], [173, 127, 101], [248, 249, 251], [186, 140, 107], [214, 169, 138], [170, 143, 134], [121, 87, 60], [111, 97, 96], [121, 82, 43], [193, 181, 181], [176, 121, 64], [201, 171, 143], [77, 48, 42], [156, 119, 101], [114, 80, 43], [181, 132, 92], [134, 94, 68], [210, 165, 134], [176, 154, 143], [119, 108, 104], [209, 158, 111], [154, 130, 106], [168, 139, 123], [133, 119, 116], [179, 132, 90], [128, 80, 58], [172, 118, 74], [194, 158, 144], [230, 218, 218], [152, 121, 92], [192, 143, 87], [229, 221, 219], [104, 90, 81], [153, 133, 126], [169, 159, 160], [158, 102, 67], [150, 113, 97], [111, 91, 90], [110, 91, 87], [68, 48, 39], [146, 117, 101], [114, 89, 85], [137, 104, 87], [165, 133, 108], [174, 143, 140], [159, 107, 59], [131, 110, 107], [163, 105, 68], [183, 162, 143], [186, 151, 121], [90, 51, 34], [226, 191, 159], [100, 66, 56], [208, 145, 102], [155, 102, 84], [213, 171, 111], [165, 135, 135], [131, 96, 92], [174, 143, 123], [159, 107, 50], [173, 117, 84], [108, 70, 47], [138, 99, 92], [129, 108, 105], [167, 106, 59], [152, 98, 74], [200, 155, 132], [123, 67, 40], [128, 82, 67], [242, 234, 221], [162, 129, 112], [180, 154, 137], [116, 98, 84], [106, 76, 65], [191, 164, 155], [162, 112, 63], [193, 175, 161], [193, 137, 88], [83, 67, 67], [111, 78, 71], [156, 106, 83], [172, 141, 120], [60, 46, 46], [158, 128, 100], [112, 89, 73], [180, 156, 144], [129, 86, 69], [176, 129, 113], [151, 103, 55], [201, 184, 176], [155, 128, 117], [191, 132, 74], [112, 76, 50], [157, 140, 133], [98, 61, 43], [118, 83, 53], [134, 107, 86], [140, 97, 88], [85, 77, 90], [193, 134, 90], [47, 33, 32], [143, 103, 93], [42, 29, 23], [145, 110, 72], [127, 88, 59], [188, 139, 109], [122, 104, 92], [107, 62, 39], [178, 134, 105], [197, 182, 175], [219, 211, 208], [128, 90, 77], [178, 134, 107], [82, 52, 44], [69, 51, 47], [140, 119, 114], [164, 133, 128], [119, 92, 81], [225, 163, 116], [196, 172, 162], [224, 184, 148], [167, 134, 103], [190, 145, 126], [192, 130, 83], [193, 142, 89], [167, 108, 76], [132, 86, 71], [158, 134, 130], [162, 113, 72], [226, 168, 122], [71, 61, 60], [146, 116, 105], [151, 119, 104], [99, 71, 67], [149, 125, 113], [159, 120, 77], [76, 70, 80], [152, 109, 90], [164, 116, 67], [164, 143, 126], [128, 96, 85], [192, 161, 133], [154, 123, 102], [106, 60, 44], [154, 132, 118], [150, 98, 77], [164, 128, 106], [141, 103, 84], [142, 95, 85], [130, 92, 73], [149, 119, 109], [157, 103, 57], [166, 117, 74], [159, 134, 130], [156, 110, 60], [189, 153, 131], [146, 101, 78], [209, 163, 114], [130, 88, 50], [161, 116, 93], [178, 143, 115], [130, 98, 83], [169, 131, 92], [207, 159, 111], [182, 128, 84], [180, 139, 107], [157, 138, 108], [129, 76, 42], [202, 178, 168], [158, 145, 136], [137, 118, 104], [173, 115, 78], [220, 169, 126], [170, 108, 61], [90, 61, 43], [196, 149, 123], [102, 85, 78], [232, 225, 219], [177, 132, 103], [79, 62, 54], [203, 175, 164], [206, 197, 192], [192, 168, 156], [186, 155, 127], [201, 157, 130], [113, 80, 71], [218, 202, 202], [176, 153, 139], [178, 153, 146], [136, 115, 114], [199, 144, 90], [180, 162, 160], [179, 140, 97], [86, 80, 80], [178, 141, 125], [89, 71, 61], [239, 235, 226], [134, 89, 68], [152, 144, 133], [125, 89, 77], [137, 91, 65], [137, 95, 57], [204, 185, 179], [225, 215, 216], [155, 109, 96], [138, 89, 75], [82, 69, 79], [111, 74, 58], [167, 154, 146], [195, 142, 108], [214, 165, 122], [180, 134, 101], [123, 104, 106], [186, 135, 88], [104, 61, 54], [163, 133, 107], [142, 107, 79], [142, 101, 71], [157, 136, 131], [200, 149, 118], [90, 53, 34], [151, 95, 60], [190, 152, 131], [123, 75, 63], [128, 82, 66], [94, 71, 63], [225, 219, 221], [117, 84, 69], [124, 105, 101], [163, 158, 165], [107, 97, 88], [97, 64, 55], [227, 184, 152], [189, 132, 89], [196, 153, 118], [155, 116, 101], [138, 122, 109], [122, 78, 67], [140, 83, 53], [130, 114, 99], [150, 114, 90], [128, 111, 117], [183, 134, 76], [211, 157, 119], [140, 101, 68], [104, 75, 69], [137, 97, 85], [188, 130, 90], [53, 38, 31], [133, 114, 99], [141, 109, 94], [85, 70, 77], [173, 131, 115], [132, 94, 75], [134, 93, 61], [180, 167, 161], [190, 152, 133], [134, 120, 111], [160, 109, 62], [139, 99, 64], [88, 60, 38], [205, 191, 178], [159, 102, 73], [145, 94, 67], [106, 79, 60], [142, 99, 54], [105, 80, 76], [100, 76, 74], [128, 96, 83], [161, 110, 63], [116, 76, 51], [133, 116, 109], [108, 70, 33], [213, 175, 138], [180, 129, 86], [177, 145, 130], [143, 86, 56], [150, 143, 151], [239, 229, 228], [148, 118, 94], [178, 136, 114], [190, 182, 193], [167, 112, 81], [121, 81, 55], [195, 146, 116], [183, 170, 153], [154, 132, 119], [121, 102, 88], [129, 98, 78], [103, 88, 95], [127, 92, 64], [136, 122, 113], [106, 75, 44], [132, 123, 126], [146, 103, 69], [106, 72, 44], [177, 125, 101], [201, 150, 97], [195, 175, 168], [126, 90, 66], [100, 59, 41], [86, 57, 49], [192, 152, 117], [198, 153, 114], [156, 116, 90], [239, 235, 232], [149, 104, 83], [125, 76, 61], [167, 130, 103], [165, 140, 135], [152, 113, 74], [89, 60, 52], [210, 166, 127], [137, 89, 67], [178, 168, 159], [201, 154, 124], [161, 104, 77], [116, 75, 45], [171, 129, 107], [137, 116, 125], [195, 154, 126], [175, 113, 76], [205, 171, 136], [110, 72, 59], [113, 93, 84], [150, 131, 127], [135, 95, 87], [152, 104, 81], [110, 89, 84], [106, 93, 87], [177, 149, 145], [172, 136, 124], [185, 122, 81], [166, 137, 119], [143, 107, 95], [83, 71, 81], [102, 90, 102], [214, 167, 115], [196, 154, 132], [174, 129, 88], [182, 168, 157], [147, 101, 65], [166, 155, 153], [49, 30, 23], [148, 116, 105], [153, 115, 76], [60, 49, 47], [246, 241, 238], [114, 68, 44], [173, 138, 118], [204, 192, 192], [137, 105, 80], [149, 119, 91], [106, 65, 37], [106, 71, 52], [138, 101, 56], [139, 94, 73], [185, 134, 89], [85, 52, 33], [158, 113, 72], [95, 57, 34], [139, 98, 66], [175, 141, 116], [223, 183, 148], [134, 78, 45], [174, 163, 157], [117, 79, 68], [191, 170, 165], [238, 204, 169], [185, 142, 89], [132, 82, 45], [117, 82, 52], [207, 158, 118], [195, 140, 86], [156, 119, 103], [171, 136, 117], [170, 168, 171], [202, 161, 131], [107, 73, 46], [217, 169, 131], [109, 76, 61], [170, 132, 123], [168, 135, 120], [173, 128, 109], [103, 70, 55], [97, 68, 62], [190, 176, 167], [172, 154, 142], [190, 133, 104], [206, 180, 155], [190, 145, 103], [149, 107, 83], [139, 93, 78], [131, 101, 67], [127, 83, 44], [77, 55, 42], [206, 159, 129], [175, 114, 69], [152, 103, 73], [135, 116, 110], [196, 167, 151], [151, 101, 78], [85, 63, 50], [130, 86, 77], [157, 133, 121], [141, 94, 64], [204, 172, 157], [77, 56, 53], [116, 79, 60], [204, 159, 120], [105, 67, 54], [200, 179, 160], [172, 152, 151], [64, 46, 36], [251, 241, 240], [187, 167, 160], [248, 247, 245], [85, 70, 67], [217, 206, 204], [163, 129, 101], [128, 82, 69], [105, 85, 86], [202, 153, 121], [110, 82, 68], [164, 141, 127], [187, 126, 71], [108, 64, 39], [130, 121, 126], [151, 108, 101], [175, 139, 115], (more...)

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Colour Lıbrary

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BD2A0304 RGB - IQ.png

BD2A0304 RGB - rand.png

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Colour Lıbrary

BD2A0304 RGB - sortG.png

⊗ ⊗ ⊗ W

BD2A0304 RGB - sortB.png

119

120

Color Lıbrary

Color Lıbrary

121

122

Color Lıbrary

Color Lıbrary

123

124

S ⊗ ⊗ ⊗

125

126

S ⊗ ⊗ ⊗

S ⊗ ⊗ ⊗

127

128

⊗ S ⊗ ⊗

⊗ S ⊗ ⊗

129

130

S ⊗ ⊗ ⊗

⊗ S ⊗ ⊗

131

132

⊗ S ⊗ ⊗

S ⊗ ⊗ ⊗

133

134

⊗ ⊗ ⊗ ⊗

Infectıon

Dye

S ⊗ ⊗ ⊗

135

136

S ⊗ ⊗ ⊗

Dye

Dye

S ⊗ ⊗ ⊗

137

138

S ⊗ ⊗ ⊗

Dye

Flag

S S ⊗ ⊗

139

140

S S ⊗ ⊗

Flag

Flag

S S ⊗ ⊗

141

142

S S ⊗ ⊗

Flag

Flag

S S ⊗ ⊗

143

144

S ⊗ ⊗ ⊗

S ⊗ ⊗ ⊗

145

146

S ⊗ ⊗ ⊗

S ⊗ ⊗ ⊗

147

148

149

150

⊗ ⊗ ⊗ ⊗

AttnGAN

AttnGAN

⊗ ⊗ ⊗ ⊗

151

152

⊗ ⊗ ⊗ ⊗

AttnGAN

AttnGAN

⊗ ⊗ ⊗ ⊗

153

154

⊗ S ⊗ ⊗

Mutatıng Ecologıes I

Mutatıng Ecologıes I

⊗ S ⊗ ⊗

155

156

157

158

S ⊗ ⊗ ⊗

Frottage

Frottage

S ⊗ ⊗ ⊗

159

160

161

162

⓪ⒶⒸ

Pages

Information

360°

74 75 76 77

The 360° images were taken with a Rico Theta Z1 camera as part of a study of the habitat of Japanese knotweed. It is found mainly in disturbed open areas, urban wastelands, edges of roadways and stream banks.

AttnGAN

150 151 152 153

A (Attentional) Generative Adversarial Network’s (GAN) understanding of Japanese Knotweed in a forest (152), Overgrown knotweed plant (153), Alien Invasive Plant Species (154) and The flower of Japanese knotweed (155) on March 2nd, 2021. Generated with RunwayML. More on AttnGAN: Xu, T., Zhang, P., Huang, Q., Zhang, H., Gan, Z., Huang, X., & He, X. (2017). AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks. CoRR, abs/1711.10485. http://arxiv.org/abs/1711.10485

Anthotype

66 67

The anthotype is an historical photographic process described by Sir John Herschel in 1842. It is an organic process that affects the discolouration of natural pigments exposed to UV light. An anthotype is created by applying a photosensitive emulsion made from the colour pigments of plants, berries and flowers and exposing it to sunlight for several weeks. This particular anthotype image was made from the pigments extracted from the rhizome and leaves of Japanese Knotweed and exposed to sunlight for 26 days.

Colour Library

110 111

The Colour Library challenges the traditional graphic design concept of simplified and

Index

163

Pages

Information

112 113 114 115 116 117 118 119 120 121 122 123

reductionist colour palettes where recognizability and distinction are the main objective. Instead it presents the richness and complexity of all the unique hues, tints, tones and shades present during the seasonal life cycle of Japanese knotweed.

Colour space processing with Fiji (ImageJ).

Image analysis and colour sorting in Python; building on the amazing work of Alan Zucconi.

Dye

135 136 137 138

Nettle cloth dyed with rhizome (135), rhizome excess (136), young stem sludge (137), and young stems (138).

Dye Extraction

59 60 61 62 63 64 65

Step 1: Harvest.

Step 2: Select parts of the plant, clean and cut in smaller pieces. Crush sturdier parts like the rhizome with a mortar.

Step 3: Boil in water for +30 minutes.

Step 4: Strain into a container. Repeat with finer grained filters until the desired level of purity is reached.

ⒸⒹ

Before dyeing textile, first boil it in water with a mordant like alum for 30 minutes. Afterwards you can boil it together with the plant parts or let it soak in the already extracted dye for 24 hours.

164

Index

ⒻⓀ

Pages

Information

Flag

139 140 141 142 143

On the battlefield flags were used both as identification and to create aura.

Three seperate thread spools were dyed with colours extracted from different parts of the Japanese knotweed plant. The threads were then hand woven into a flag representing a more complex and ambigious visual identity for Japanese knotweed. The weaving features lots of fine details and subtle variations in binding on a micro level.

While exposed to the sun, over time the colours of the threads will change.

Technical details: Size: 90cm x 160cm Warp thread: Hemp, Nm 12/2 Weft thread: Hemp, Nm 44/4 Warp density: 8 threads/cm Total width: 720 threads Weaving on 4 shafts: 180 sails/shank Woven with great skill and craft

by Mar10 Geladi (10spotting)

Frottage

158 159

A relief-rubbing technique to transfer the texture of an uneven surface (in this case leaves of Japanese knotweed) onto paper. The original frottage was converted into a digital image using a scanner and then printed on 250gsm Notweedpaper (see 176) in Hunter Green with a Riso SF5350E.

Knotspots

108 109

A mapping of Japanese Knotweed in our local environment.

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Micro

102 103 104 105

Microscopic images of leaves (102, 103), spots on young stems (104, 105) and a cross section of the stem (middle). Taken with a Canon 5D MARK III camera mounted on a Bresser Science TFM-301 TRINO 40-1000X microscope.

Mutating Ecologies I

154 155

During the exhibition The Sustainist Gaze in art center Z33 (BE), where the project Not In My Backyard! was shown, a room was transformed into an installation in which knotweed is grown into 'living image-makers'. The installation refers simultaneously to the installation 'Exote I' by Kris Verdonck that was on view in Z33 in 2011, in which Japanese knotweed was also brought into a museum context. Ten years later, the question is whether we can still consider this plant as an 'exotic', because it is currently already so strongly inherent in the Belgian and European landscape, and cannot be pushed back.

Shifting Grounds

81 82 83 84 85 86 87 88 89 90 91 92 93 94

In the Master-level research course Shifting Grounds, organised at LUCA School of Arts (BE), we explored artistic strategies for a renewed connection with the natural environment. How can imaginative strategies, tactics and methods broaden our horizons so that we are open to alternative scenarios? What approach enables us to shift the proverbial ground under our feet to a sustainable relationship with the natural environment and its actors? And what can that mean for an artistic practice?

In 2020, the course focussed thematically on the invasive plant species Japanese Knotweed and its position in the Belgian landscape. We

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investigated the specificities, challenges and opportunities that this exotic brings with it. A cross-disciplinary group of photography, product design, game design and animation film students applied various experimental research methods and visual strategies to explore this novel and changing context. Through an array of individual projects they reflected on the role of profound contextual research in their art and design practice and on their own relationship with nature as a designer / image maker / human being.

Lecturers: Kristof Vrancken, Niek Kosten, Rozan van Klaveren Guests: Gaja Mežnarić Osole and Andrej Koruza (Trajna), Ils Huygens (Z33), Pierre Cuypers (Natuurpunt).

Students: Alexsandro Celea, Bram Dufour, Claire Dekens, Cédric Van Hool, Elke Cuppens, Esmee Mertens, Ewout De Vos, Femke Ceulemans, Giacomo Segers, Kevin Vaesen, Levin Tibax, Nathan Vrebos, Nikita Aulov, Nina Van Herck, Sander Vogelaers, Senja Penttilä, Tijl Custers.

Selected student projects: ○ Cédric Van Hool (82, 83 / ©) used design fiction to visualize a future scenario where the European Union plans a covert operation to secretly migrate native plant species to other continents in an effort to save them from extinction, threatened by alien invasives on European soil. Cédric’s performance placed the attendees in the seat of

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high-profile EU-politicians being presented with a detailed report of the dire situation, graphically referencing the typical ‘bureaucratic’ aesthetic with lots of graphs and charts. The plan proposes to use the popular pigeon racing sport to smuggle seeds to Japan, among other suitable climates, and spread them using custom designed hidden carrier systems.

Image credits (82) (Top left) Map estimating the level of invasion by alien plant species. (2015). https://www.eea.europa. eu/data-and-maps/figures/european-map-estimating-the-level/european-map-estimating-the-level (Top right) Actual and potential future alien plant invasion hotspots under two emissions scenarios.

(2017). https://www.eea.europa.eu/data-and-maps/figures/actual-and-potential-future-alien (Right, second row) Japanse duizendknoop, Sachalinse duizendknoop en Boheemse duizendknoop. (z.d.). https://www.ecopedia.be/planten/japanse-duizendknoop-sachalinse-duizendknoop-enboheemse-duizendknoop

○ Claire Dekens’ (84, 85 / ©) photographic work depicts the proliferation of the Japanese knotweed as a consequence of human actions.

In the images we see how the plant is starting to penetrate cities. To visualize this Claire constructed a scale model composed of images of buildings from different cities around the world.

She added branches of Japanese Knotweed that were preserved by enrobing them in a glycerine solution. ○ In ‘Sightings of the Knotweed Queen’ Giacomo Segers (86, 87 / ©) fuses the seemingly supernatural powers of Japanese Knotweed with the mythical concept of Animism. This belief that all things (including plants, places, rivers, etc.) contain a spiritual essence is, among many other cultures, prevalent in Japanese Shintoïsm and folklore. They describe Yōkai as mischievous ghosts, often linked to a natural phenomenon

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or object. Giacomo’s work draws similarities with modern Cryptids like Bigfoot and uses the archetypical blurry-picture aesthetic to narrate the story of Demy, a nature lover who documents his fascination for Japanese Knotweed through a blog.

It chronicles his somewhat paranoïd adventure in discovering the Knotweed Queen. ○ Kevin Vaesen (88, 89, 90, 91 / ©) his initial objective to focus on the overgrowth aspects of Japanese Knotweed shifted along the process. Working with the plant in many trials and experiments brought about a new personal understanding of its position in society and the world. The end result is an experimental graphical work where the plant plays a leading role in its own rise, decay and resurrection, at the hands of man. ○ With his ‘JAPONICA’ collection Tijl Custers (92 / ©) designed a set of furniture out of Japanese Knotweed stems. Each object conceptually started from tensions present in the societal issues around Japanese Knotweed, like ‘alien vs. native’, ‘controle’ and ‘zero management’. ○ Product designer Sander Vogelaers (93 / ©) researched the material qualities of Japanese Knotweed for using it in a rushlight or candle. The principles of ‘Rewilding’ inspired him to revisit this age-old light source and create a new process using the dried wintertime stems of Japanese Knotweed.

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○ Esméralda Mertens and Alexsandro Celea (94, 95, 96 / ©) challenge the viewers perception of Japanese Knotweed by envisioning a fictional future where the resilience of the plant is used as an opportunity to save other plants from extinction by pollution. Through slick stylised photography ‘from the lab’ they visualise their ‘ALL-INGENTECH’ bio-lab that proposes to combine Japanese Knotweed DNA with crops like corn and soy.

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References

1.

2.

Allen, W. (2003). Plant Blindness. Bioscience, 53(10), 926.

Philosopher Gilles Deleuze (1997) suggests an alternative to "individual" since man is not an indivisible unit but a jumble of desires that continually splits like a rhizome.

3. Ingold, T. (2013). De kunst van het onderzoek. in Gevers, I. (2013). Ja natuurlijk hoe kunst de wereld redt. NAi 010 Uitgevers, Stichting Niet Normaal, Rotterdam - Den Haag p172-p177 4. DiSalvo, C. (2012). Adversarial Design. The MIT Press.

5. Bailey, J., & Conolly, A. (2000). Prize-winners to pariahs - a history of Japanese knotweed s.l. (Polygonaceae) in the British Isles. New Journal of Botany, 23, 93-110.

6. Angeloni, C. (2021). Japanese knotweed knocks £20bn off value of UK property market. Independent. Retrieved from https://www.independent.co.uk/news/business/ news/japanese-knotweed-house-prices-property-valuemortgage-insurance-how-treat-a8557971.html 7. Booth, R. (2021). Knotweed sets Olympics £70m challenge.

The Times. Retrieved from https://www.thetimes.co.uk/ article/knotweed-sets-olympics-pound70m-challengejjrkzk02z8k 8. Melders, B. (2021). Elektrocutie en vergiftiging helpt niet, maar toch oplossing voor onuitroeibare plant?.

HBVL. Retrieved from https://m.hbvl.be/cnt/ dmf20210714_96581859 9. Global Invasive Species Database (2021) Species profile: Polygonum cuspidatum. Downloaded from http://www. iucngisd.org/gisd/speciesname/Polygonum+cuspidatum on 17-07-2021.

10. Houttuyn, M. (1777). Natuurlyke historie of uitvoerige beschryving der dieren, planten en mineraalen, volgens het samenstel van den heer Linnæus. Met naauwkeurige afbeeldingen, Volume 25

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11. Wijnands, D.O.†, J. Heniger, J.F. Veldkamp, N. Fumeaux & M.W. Callmander (2017). The botanical legacy of Martinus Houttuyn (1720–1798) in Geneva. Candollea 72 : 155–198.

12. Jaarboek van de Koninklijke Nederlandsche Maatschappij tot Aanmoediging van den Tuinbouw onder bescherming van zijne Majesteit Koning Willem II. (1848) Engraving by W.H. de Vriese (p. 33). Rijksuniversiteit Leiden. Retrieved from https://books.google.com/books?id=L90Qs1Qk_uEC 13. Soes, Menno & Duistermaat, Helena & van Valkenburg, Johan & Heuven, B.J. & Zonneveld, B.J.M. & Kessler, P.J.A..

(2012). Actuele verspreiding en risico’s van mannelijk fertiele Fallopia japonica (Polygonaceae) planten.

14. Hollingsworth, M.L. and Bailey, J.P. (2000), Evidence for massive clonal growth in the invasive weed Fallopia japonica (Japanese Knotweed). Botanical Journal of the Linnean Society, 133: 463-472.

15. Penninkhof, J., van Dijk, C., de Visser, W., Kremers, J., de Kleine, C., & Boosten, M. (2019). Onderzoek ontkieming zaden Japanse duizendknoop: Resultaten van literatuurstudie, kasproef en veldverkenning. Stichting Probos.

16. Duizendknoophybride Fallopia × conollyana gevonden in Gelderse wegberm. (2021). Retrieved 24 July 2021, from https://www.naturetoday.com/intl/nl/nature-reports/ message/?msg=27304 17. The idea where we, as humans, control nature has been ingrained in our Western society for thousands of years.

We draw the imaginary lines between nature and culture, between domesticated and wild, between my property and yours. Morton calls this process of ordering, separating and structuring agrilogistics. See: Timothy Morton, Ecological Being, p103.

18. Mancuso, S. (2020). The Incredible Journey of Plants. NY: Other Press.

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References

19. Fennel, M. Wade, M. Baken, K. (2018) Japanese knotweed (Fallopia japonica): an analysis of capacity to cause structural damage (compared to other plants) and typical rhizome extension, PeerJ 6:e5246 20. Thoonen, M., & Willems , S. (2018). Invasieve duizendknoop in Vlaanderen: een kader voor goed beheer. (Rapporten van het Instituut voor Natuur- en Bosonderzoek; Nr. 62).

Instituut voor Natuur- en Bosonderzoek.

21. In 2020, the Dutch government decided to allow, for the first time ever, the release of an alien animal species, the Japanese knotweed psyllid (Aphalara itadori), as a weapon against Asian knotweed. See bestrijdingduizendknoop.nl and universiteitleiden.nl/en/ news/2020/10/first-dutch-field-trials-with-exotic-insectto-combat-invasive-plant 22. Gibson, P. (2018). The plant contract: Art's return to vegetal life.

23. Serres, M., & McCarren, F. (1992). The Natural Contract.

Critical Inquiry, 19(1), 1-21.

24. See notweedpaper.com and trajna.com.

25. See ecliptaherbal.com 26. See 2020.rca.ac.uk/students/marina-belintani and mabeproject.com 27. See knotplex.org 28. Mancuso, S. (2018). The revolutionary genius of plants: A new understanding of plant intelligence and behavior.

29. Latour, B., & Hofstede, R. (2019). Waar kunnen we landen?: Politieke oriëntatie in het Nieuwe Klimaatregime.

Amsterdam: Octavo.

30. Deleuze, G., Guattari, F., & Massumi, B. (2015). A thousand plateaus: Capitalism and schizophrenia.

References

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Authors

Niek Kosten (°1986) is a design researcher, teacher and graphic designer from Belgium. At LUCA School of Arts, he is currently working on his Ph.D. in the Arts on critically opening up societal issues with vernacular graphic design. Niek teaches in the fields of speculative design, identity, artistic and design research and graphic design (i.a.) at the Interaction Design, Product Design and Photography programmes of LUCA. He also creates self-initiated and commissioned works as an independent designer.

Kristof Vrancken (°1982) is a visual artist, photographer, and researcher based in Belgium. He is currently preparing an artistic Ph.D. dissertation at LUCA School of Arts on strategies to agitate against the Anthropocene through Organic Photography and Participatory Design Processes. He teaches and researches hybrid media and experimental photography at LUCA. His artistic work and photographs have been published in national and international books and journals, and have been exhibited in Belgium and abroad.

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NOT IN MY BACKYARD! An (incomplete) visual, physical & societal dissection of the (invasive alien) plant species Japanese knotweed Authors Kristof Vrancken Niek Kosten Publisher LUCA School of Arts vzw Paleizenstraat 70, Brussels (BE) www.luca-arts.be Funding LUCA School of Arts Research Unit Inter-Actions Campus C-mine, Genk (BE) Thanks to Veerle Van der Sluys (LUCA), Rozan van Klaveren (LUCA), Gaja Mežnarić Osole (Trajna), Ils Huygens (Z33) & the team of Z33, Katrien Schaerlaekens (RLKM), Pierre Cuypers (Natuurpunt).

ISBN: 978-90-761-0115-6 Legal deposit: D\2021\13058\1

Print Offset print by Hugo, Ria and Ben at Symons Drukkerij (BE).

Linocut cover by Niek Kosten.

Book design Niek Kosten Paper ○ Notweed Paper by Trajna (SO) ❦ 50% fibers from Japanese Knotweed growing in Ljubljana. ○ Symbol Card by Fedrigoni ❦ FSC, Bio-degradable. ○ Circle Offset by Arjowiggins (FR) ❦ FSC Recycled – 100%, EU Ecolabel. ○ High Volume White by Arctic (SE) ❦ FSC, Low environmental-impact mills.

Fonts ○ Cormorant by Christian Thalmann ○ Nimbus Sans by URW++ ○ Linux Biolinum by Libertine Open Fonts Project, Philipp H. Poll

Except where otherwise noted this work is licensed under CC BY-NC 4.0. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc/4.0/

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An invasive alien is spreading rapidly and threatening our native species, biodiversity, and infrastructure. What can we do and how should we react?

What is its impact? Can we return to a landscape free of these exotics or should we challenge our protectionist attitude?

What role can we play?

Photographer Kristof Vrancken and graphic designer Niek Kosten investigate and dissect the position of the plant species Japanese knotweed in their environment. Not in my backyard! showcases a wide array of experimental work that explores various visual and imaginative strategies to relate to the issue of invasives and connect with our natural habitat as a whole. It presents a collection of rhizomatic ideas, invasive insights, and artistic interpretations adapting to a world in transformation.

By renegotiating the position of the knotweed we might find a new way of living together.

An (incomplete) Visual, Physical & Societal Dissection of the (Invasive Alien) Plant Species Japanese Knotweed

Kristof Vrancken Niek Kosten