Recent advances in remote sensing and GIS in Sub-Sahara Africa /

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Kamusoko, Courage, Mundia, Charles Ndegwa, Murayama, Yūji, 1953-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Nova Science Publishers, c2011.
Colección:Computer science, technology and applications.
African political, economic, and security issues series.
Temas:
Remote sensing > Africa, Sub-Saharan.
Geographic information systems > Africa, Sub-Saharan.
Land use > Africa, Sub-Saharan.
Télédétection > Afrique subsaharienne.
Systèmes d'information géographique > Afrique subsaharienne.
Utilisation du sol > Afrique subsaharienne.
Geographic information systems
Geography
Land use
Remote sensing
Africa, Sub-Saharan > Geography.
Afrique subsaharienne > Géographie.
Sub-Saharan Africa
Acceso en línea:Texto completo
Tabla de Contenidos:
  • RECENT ADVANCES IN REMOTESENSING AND GISIN SUB-SAHARA AFRICA; RECENT ADVANCES IN REMOTESENSING AND GISIN SUB-SAHARA AFRICA; CONTENTS; FOREWORD; PREFACE; ABOUT THE EDITORS; ABOUT THE CONTRIBUTORS; INTRODUCTION:USEFULNESS OF SPATIAL ANALYSISWITH REMOTE SENSING AND GISIN SUB-SAHARA AFRICA; 1.1. INTRODUCTION; 1.2. SUMMARY OF BOOK CHAPTERS; MODELING SPATIAL PROCESSES OF URBANGROWTH IN AN AFRICAN CITY:A CASE STUDY OF NAIROBI; ABSTRACT; 2.1. INTRODUCTION; 2.2. DATA AND METHODOLOGY; 2.3. CALIBRATING CELLULAR AUTOMATA MODEL; 2.4. ACCURACY ASSESSMENT; 2.5. RESULTS AND DISCUSSION.
  • 2.6. SUMMARY AND CONCLUSIONSREFERENCES; MARKOV-CELLULAR AUTOMATAAPPROACH FOR MODELLING LANDUSE/COVER CHANGES IN AN AFRICANRURAL LANDSCAPE: A CASE STUDYIN THE BINDURA DISTRICT, ZIMBABWE; ABSTRACT; 3.1. INTRODUCTION; 3.2. BACKGROUND; 3.2.1. Markov Chain Analysis; 3.2.2. Cellular Automata; 3.2.3. Markov-Cellular Automata Model; 3.3. STUDY AREA; 3.4. METHODOLOGY; 3.4.1. Data; 3.4.2. Markov-Cellular Automata Modelling Framework; 3.5. RESULTS AND DISCUSSION; 3.5.1. Analysis of Land Use/Cover Changes and TransitionProbabilities; 3.5.2. Validation of the Markov-Cellular Automata Model.
  • 3.5.3. Simulated Future Land Use/Cover Changes3.6. SUMMARY AND CONCLUSIONS; ACKNOWLEDGMENTS; REFERENCES; URBAN LAND USE CHANGEAND LANDSCAPE FRAGMENTATIONIN LAGOS, NIGERIA; ABSTRACT; 4.1. INTRODUCTION; 4.2. Study Area; 4.3. METHODS; 4.4. RESULTS AND DISCUSSIONS; 4.4.1. Quantitative Data on Land Use Change; 4.4.2. Characterization of New Residential Land Use Change; 4.4.3. The Logistic Regression Models; 4.4.4. Landscape Fragmentation Metrics; 4.5. SUMMARY AND CONCLUSIONS; ACKNOWLEDGMENT; REFERENCES.
  • A MULTISTAGE-ARTIFICIAL NEURALNETWORK AND EXPERT SYSTEM(MANNES) APPROACH FOR CLASSIFYINGURBAN BUILT-UP AREAS BASED ON ALOSDATA: THE CASE OF HARARE, ZIMBABWEABSTRACT; 5.1. INTRODUCTION; 5.2. STUDY AREA; 5.3. METHODSS; 5.3.1. Data; 5.3.2. Preprocessing; 5.3.3. Multistage-Artificial Neural Network and Expert System(MANNES) Approach; 5.4. RESULTS AND DISCUSSIONS; 5.4.1. Classification Accuracy Assessment and Urban LandUse/Cover Mapping; 5.5. CONCLUSIONS; ACKNOWLEDGMENTS; REFERENCES; SPATIAL-TEMPORAL PATTERNS ANDDRIVING FORCES OF LAND USE/COVERCHANGES IN AN AFRICAN WILDLIFESANCTUARY; ABSTRACT.
  • 6.1. INTRODUCTION6.2. STUDY AREA; 6.3. DATA AND METHODS; 6.4. RESULTS AND DISCUSSION; 6.4.1. Land Use/Cover and Wildlife Population Changes; 6.4.2. Factors Driving Land Use/Cover and Wildlife PopulationChanges; 6.5. IMPLICATIONS AND THE WAY FORWARD; 6.6. CONCLUSIONS; ACKNOWLEDGMENTS; REFERENCES; EXPLORATORY WOODLANDFRAGMENTATION ANALYSIS BASEDON MATHEMATICAL MORPHOLOGYAND LANDSCAPE METRICS; ABSTRAC; 7.1. INTRODUCTION; 7.2. STUDY AREA; 7.3. METHODOLOGY; 7.3.1. Data; 7.3.2. Woodland Fragmentation; 7.4 Results and Discussion; 7.4.1. Land USe/Cover Changes; 7.4.2. Woodland Fragmentation Analyses.

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