Coastal Con Capturing Transformations
Abdullah Al Kazaz
Architectural Association AA
Academic year 2023-24
Diploma Unit 4
Climate Peace
John Palmesino and Ann-Sofi Rönnskog
Capturing Transformations
A comprehensive global coastal surveillance study was conducted to observe transformations along the world’s coastlines. This study utilized the European Commission’s Water Occurrence Change Intensity metric from the Global Surface Water Dataset. The data reveals changes in water occurrence, with intensities compared between two periods: 1984-1999 and 2000-2021. In this dataset, red indicates a decrease in water occurrence, signifying an increase in land area, while green indicates an increase in water occurrence, signifying a decrease in land area. The brightness of these colors represents the intensity of the change, with brighter colors indicating more significant transformations.
Global Coastal Transformations Surveillance4,150 “scenes” to cover our entire coastlines.
Global Coastal Transformations SurveillanceHighlighted “scenes” indicate areas with severe transformations.
0002, Ras
Khaymah-Sharjah-Umm
Qaywayn, Oman-United Arab Emirates
0003, Dubai-Jabal Ali-Sharjah, United Arab Emirates
0011, Manama, Bahrain-Qatar
0013, Al-Qatif-Az
Zahran-Dammam-Manama, Bahrain-Saudi Arabia
0014, Al Jubayl, Saudi Arabia
0018, , Iran-Iraq-Kuwait
0019, Abadan-Az Aubayr-Basra, Iran-Iraq
0020, Behbehan, Iran
0022, Bandar-e Bushehr, Iran
0030, Bandar-e-Abbas, Iran
0036, Gwadar, Iran-Pakistan
0040, Karachi, Pakistan
0042, , India-Pakistan
0044, Bhuj, India
0045, Bhuj, India
Porbandar, India
0050, Vadodara, India
0052, Diu, India
0053, Navsari, India
0060, Panaji, India
0069, Alappuzha-Kollam, India
0074, Kumbakonam, India
0076, Anuradhapura-Puttalan, Sri Lanka
0084, Kilinochchi, Sri Lanka
0085, Jaffna-Kilinochchi, Sri Lanka
0089, Jaffna-Kilinochchi, Sri Lanka
0092, Chirala-Ongole, India
0093, Machilipatnam, India
0098, Brahmapur-Puri, India
Haldia, Bangladesh-India
0103, Khulna, Bangladesh-India
Barishal, Bangladesh
0110, Kyaukphyu, Myanmar
0114, Pathein-Wakema, Myanmar
0115, Labutta, Myanmar
Thongwa-Yangon, Myanmar
0118, Bago, Myanmar
0149, Alor Setar-Kangar-Satun, Malaysia-Thailand
0150, Butterworth-George Town-Sungai Petani, Malaysia-Thailand
0151, Ipoh-Taiping, Malaysia
0152, Teluk Intan, Malaysia
0183, Langsa, Indonesia
Malacca, Indonesia-Malaysia
Johor Bahru-Singapore, Indonesia-Malaysia-Singapore
0208, Bandar Lampung, Indonesia
0212, Tasikmalaya, Indonesia
0230, Kupang, Indonesia
0236, Bekasi-Jakarta, Indonesia
0237, Indramayu, Indonesia
0239, Pakalongan-Semarang, Indonesia
Pati-Tuban, Indonesia
0244, Surabaya, Indonesia
0290, Watampone, Indonesia
0294, Makale-Palopo, Indonesia
0297, Palu, Indonesia
0310, Gorontalo, Indonesia
0366, Timika, Indonesia
, Papua New Guinea
0377, , Papua New Guinea
0393, Karumba, Australia
Derby, Australia
0445, Carnarvon, Australia
0454, Three Springs, Australia
0487, Port Pirie, Australia
0499, Mount Gambier, Australia
0524, Traralgon, Australia
0537, Kempsey, Australia
0539, Grafton-Yamba, Australia
0548, Gladstone, Australia
0562, Ayr, Australia
0658, Christchurch, New Zealand
Balikpapan, Indonesia
0796, Samarinda, Indonesia
0802, Tarakan, Indonesia
0812, Cotabato, Philippines
0831, Angeles-Manila-Pasay City-Quezon City, Philippines
0911, Bandjarmasin, Indonesia
0922, Phatthalung, Thailand
0923, Nakhon Si Thammarat-Thung Song, Thailand
0932, Chon Buri-Phetchaburi-Ratchaburi-Samut Prakan-Samut Sakhon-Samut Songkhram-Si Racha, Thailand
0953, , Laos-Vietnam
0959, , China-Vietnam
0960, Beihai, China
0971, Macau, China-Hong Kong-Macao
Hong Kong-Shenzhen-Zhuhai, China-Hong Kong-Macao
0976, Chaozhou, China
0977, Xiamen-Zhangzhou, China-Taiwan
0978, Magong-Puzi-Taibao, Taiwan
1000, Putian-Quanzhou, China
1001, Putian, China
1005, Huangyan-Wenzhou, China
1006, Jiaojing, China
1007, Ningbo, China
1009, , China
Jiaxing, China
1011, Shanghai, China
1012, Nantong, China
1013, Nantong, China
1015, Yancheng, China
1017, Lianyungang, China
1019, Qingdao, China
1020, , China
1027, , China
1029, Huanghua, China
1030, Hangu, China
1033, Jinxi, China
1034, Jinzhou-Yingkow, China
1041, Dandong-Sinuiju, China-North Korea
1042, Chongju-Sin-Ni, North Korea
1046, Bucheon-Goyang-Incheon-Kaesong-Seoul, North Korea-South Korea
1047, Ansan-Suwon, South Korea
1049, Gunsan-Iksan-Jeonju, South Korea
1051, Mokpo, South Korea
1074, Hamamatsu-Nagoya-Tsu, Japan
1129, Gifu, Japan
1152, Munchon-Wonsan, North Korea
1153, Hamhung, North Korea
1394, Uelen, Russia
1585, Gyda, Russia
1622, Nakhodka, Russia
1623, Tazovsky, Russia
1736, Mezen, Russia
1956, Rotterdam-The Hague, Netherlands
2054, Carlisle-Dumfries, United Kingdom
2057, Blackpool, United Kingdom
2129, Santarém, Portugal
2270, Bur Said-Dumyat, Egypt
2271, El Mansura-Kafr el Sheikh-Rashid, Egypt
2291, Ben Gardane-Medenine-Zarzis, Tunisia
2299, Sousse, Tunisia
2303, Annaba, Algeria-Tunisia
2310, Oran, Algeria
2314, Ceuta-Tangier, Morocco-Spain
2407, , Iran-Turkmenistan
2410, , Turkmenistan
2411, Celeken, Turkmenistan
2413, , Turkmenistan
2414, , Turkmenistan
2581, Beira-Dondo, Mozambique
2736, Morombe, Madagascar
2766, Mahajanga, Madagascar
Savannah, United States of America
2876, Coral Springs-Fort Lauderdale-West Palm Beach, United States of America
Houma, United States of America
Matamoros, Mexico-United States of America
2911, Ciudad Madero-Tampico, Mexico
2921, Campeche, Mexico
2928, Felipe Carrillo Puerto, Mexico
2930, Chetumal-Corozal-Orange Walk, Belize-Mexico
, Cuba
2954, Manzanillo, Cuba
Jacmel-Neiba-Pedernales-Port-au-Prince, Dominican Rep.-Haiti
3011, Bilwi, Nicaragua
3022, Turbo, Colombia-Panama
Barranquilla-Santa Marta-Soledad, Colombia
3033, Coro-Punto Fijo, Venezuela
3048, San Fernando, Trinidad and Tobago-Venezuela
Corriverton-New Amsterdam-Nieuw Nickerie-Totness, Guyana-Suriname
Groningen-Nieuw Amsterdam-Paramaribo, Suriname
3060, Iracoubo-Kourou-Sinnamary, France
3077, Itapecuru Mirim-Viana, Brazil
3103, Linhares, Brazil
3106, Campos, Brazil
3125, Rio Grande, Brazil
3126, , Brazil-Uruguay
3128, Castillos, Brazil-Uruguay
3133, Campana-Carmelo, Argentina-Uruguay
3145, Villalonga, Argentina
, Chile
3318, Motupe, Peru
3352, Chinandega, El Salvador-Honduras-Nicaragua
3376, Altata, Mexico
3378, Guasave-Los Mochis, Mexico
3380, Ciudad Obregon-Navajoa, Mexico
3410, Guerrero Negro, Mexico
Francisco-San Mateo, United States of America
3431, Santa Rosa-Vallejo, United States of America
Anchorage, United States of America
