This book focuses on impending serious problems of socio-economic conditions in the sub-Saharan countries utilizing remote sensing and GIS techniques. In Africa, the use of remote sensing data and analyzing techniques such as GIS is essential for any studies that involve an extensive area because more often than not, topographic maps at a scale of 1:50,000 or larger are not available for detailed mapping on the ground. In addition, basic socio-economic and physical data, such as census data, environmental data, and infrastructure data, are lacking or not kept updated for modeling analyses.
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| Introduction | |
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| Usefulness of Spatial Analysis with Remote Sensing & GIS in Sub-Sahara Africa | |
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| Modeling Spatial Processes of Urban Growth in an African City. A Case Study of Nairobi | |
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| Markov-Cellular Automata Approach for Modelling Land Use/Cover Changes in an African Rural Environment: A Case Study in the Bindura District, Zimbabwe | |
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| Urban Land Use Change & Landscape Fragmentation in Lagos, Nigeria | |
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| A Multistage-Artificial Neural Network & Expert System (MANNES) Approach for Classifying Built-up Areas Based on ALOS Data: the Case of Harare, Zimbabwe | |
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| Spatial-Temporal Patterns & Driving Forces of Land Use/Cover Changes in an African Wildlife Sanctuary | |
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| Exploratory Woodland Fragmentation Analysis Based on Mathematical Morphology & Landscape Metrics | |
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| Exploratory Land Use/Cover Change Analysis in a Municipality in Kenya Using Markov Chain Model | |
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| Open Source Web Mapping Technologies: Can Developing Countries Leverage & Tap the Potential they Portend? | |
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| SDI Requirements for Transport Infrastructure Planning: A Case Study of Kampala, Uganda | |
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| Remote Sensing & GIS, Current Status & Future Prospects in Sub-Sahara Africa | |
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| Index | |
Yuji Murayama, University of Tsukuba, mura1@sakura.cc.tsukuba.ac.jp
