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The Future of Water in African Cities

Page 207

183

Kampala

Kampala

Kampala

Lusaka

Lusaka

Lusaka

Harare

Harare

Harare

Uganda

Uganda

Uganda

Zambia

Zambia

Zambia

Zimbabwe

Zimbabwe

Zimbabwe

2010

2000

1990

2010

2000

1990

2010

2000

1990

2010

2000

1990

2010

2000

1990

2010

2000

Target period

170

170

170

172

172

172

171

171

171

166

166

166

173

173

173

170

170

Path

72

72

72

71

71

71

60

60

60

65

65

65

49

49

49

78

78

Row

5/26/09

9/30/00

6/23/90

5/30/11

2/22/02

3/1/90

1/28/10

11/27/01

2/27/89

07/01/09

02/09/01

12/09/89

1/26/10

12/24/00

12/10/89

5/26/09

1/7/02

Date

Landsat 5 TM

Landsat 7

Landsat 4-5 TM

Landsat 5 TM

Landsat 7

Landsat 4-5 TM

Landsat 5 TM

Landsat 7

Landsat 4-5 TM

n.a.

n.a.

n.a.

Landsat 5 TM

Landsat 7

Landsat 4-5 TM

Landsat 5 TM

Landsat 7

Platform

Good

Good

Good

Good

Good

Quality

36N 36N

Good

36N

35N

35N

35N

36N

36N

36N

37N

37N

37N

36N

36N

36N

35N

35N

UTM projection

Good

Good

Good

Good

Good

Good

Good

Good

Good

Poor - clouds

Poor - clouds

Source: World Bank. Note: In some cases, multiple images from slightly different dates were used to classify a single urban extent for a target period. n.a. = not available.

Dar es Salaam

Dar es Salaam

Tanzania

Dar es Salaam

Tanzania

Tanzania

Khartoum

Khartoum

Sudan

Sudan

Khartoum

Johannesburg

South Africa

Sudan

Johannesburg

City

South Africa

Country

Table A4.1 (continued)


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