Wade Earth Observations and Geospatial Science in Service of Sustainable Development Goals

12th International Conference of the African Association of Remote Sensing and the Environment
1. Auflage 2019
ISBN: 978-3-030-16016-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 193 Seiten

Reihe: Physics and Astronomy (R0)

This book provides a unique insight into the research and recent developments undertaken among the African Remote Sensing community in regard to the environment. It includes reports of the latest research outcomes in the field of remote sensing and geospatial information technologies, analyses discussions around operational topics such as capacity building, Spatial Data Infrastructure (SDI), applications of advanced remote sensing technologies (LiDAR , Hyperspectral) in Africa, big data, space policy, and topics of high actually in the field of climate changes, ocean and coastal zone management, early warning systems, natural resources management or geospatial science for sustainable development goals. 

The book comprises the contributions of the AARSE (African Association of Remote Sensing of the Environment) international conference which is conducted biennially across Africa, alternately with the AfricaGIS conference. It is the premier forum in Africa for research on remote sensing technologies and geospatial information science, gathering leading scholars from the remote sensing and related communities. The conference is co-organised by the Arab Academy of Science and Technology, in partnership with the National Authority for Remote Sensing & Space Sciences (NARSS) of Egypte, and continues a long series of successful AARSE conferences which started in 1996, in Harare (Zimbabwe) and has been held in Abidjan (Cote D'Ivoire) in 1998, Cape Town (South Africa) in 2000, Abuja (Nigeria) in 2002, Nairobi (Kenya) in 2004, Cairo (Egypt) in 2006, Accra (Ghana) in 2008, Addis Abeba (Ethiopia) in 2010, El Jadida (Morocco) in 2012, Johannesburg (South Africa) in 2014, and in Kampala (Ouganda) in 2016. The book is mainly addressed to practitioners and experts from academia, politics and industry.

Autoren/Hrsg.

Wade, Souleye

Inhaltsverzeichnis

1;Foreword;6
2;Message from AARSE President;8
3;Conference Committees;10
4;Contents;14
5;About the Editor;17
6;Part I: Space and Geospatial Science for Sustainable Development Goals;20
6.1;Earth Observation for Water Resource Management and Sustainable Development;21
6.1.1;1 Introduction;21
6.1.2;2 The Sentinel Satellites: A New Era in Earth Observation for Sustainable Development Monitoring;22
6.1.3;3 Monitoring and Assessment of Wetlands and Open Water Bodies;23
6.1.4;4 Agricultural Mapping and Monitoring;25
6.1.5;5 Challenges;29
6.1.6;6 Conclusions;30
6.1.7;References;31
6.2;River Long Profiles of Selected Third-Order Basins in Basement Complexes;32
6.2.1;1 Introduction;32
6.2.2;2 Study Area;33
6.2.3;3 Methodology;35
6.2.4;4 Results;35
6.2.4.1;4.1 River Long-Profiles of the Third-Order Basins;36
6.2.4.2;4.2 Hypsometry of the Third-Order Basins;36
6.2.5;5 Discussion;36
6.2.5.1;5.1 River Profiles and Basin Dissection: Implications on Process-Form Dynamics;36
6.2.6;6 Conclusion;40
6.2.7;References;41
6.3;A Remote Sensing Based Approach for Optimizing the Sampling Strategies in Crop Monitoring and Crop Yield Estimation Studies;42
6.3.1;1 Introduction;42
6.3.2;2 Study Area;43
6.3.3;3 Materials and Methods;43
6.3.3.1;3.1 Materials;43
6.3.3.1.1;3.1.1 Geospatial Data and Derived Proxies of Landscape Biodiversity;43
6.3.3.1.2;3.1.2 Field Surveys on Trees;45
6.3.3.2;3.2 Methods;45
6.3.3.2.1;3.2.1 Landscape Segmentation;45
6.3.3.2.2;3.2.2 Variables Computation;45
6.3.3.2.3;3.2.3 Unsupervised Classification of Landscape Units;46
6.3.3.2.4;3.2.4 Assessment of the Landscape Units Classification;46
6.3.4;4 Results and Discussion;46
6.3.4.1;4.1 Landscape Segmentation and Classification;46
6.3.4.2;4.2 Assessment of the Landscape Units Classification;47
6.3.4.3;4.3 Tree Species Inventory and Gradient Validation;48
6.3.5;5 Conclusion;51
6.3.6;References;52
7;Part II: Remote Sensing and GIS for Natural Resources Management;54
7.1;GIS Based Analysis of the Extent and Dynamic of Forest Cover Changes Between 1990-2017 Using Geospatial Techniques: In Case of...;55
7.1.1;1 Introduction;55
7.1.1.1;1.1 Description of the Study Area;56
7.1.2;2 Research Methodology;56
7.1.3;3 Result and Discussion;57
7.1.3.1;3.1 Land Use Land Cover Classification Scheme;57
7.1.3.2;3.2 Distribution of Land Use Land Cover in 1990, 2002 and 2017;57
7.1.4;4 Conclusion;63
7.1.5;References;63
7.2;Conflict and Agricultural Production: Using Earth Observation to Assess Productivity and Support Rehabilitation in Syria;65
7.2.1;1 Introduction;65
7.2.2;2 Methodology;66
7.2.3;3 Results;68
7.2.4;4 Conclusions;71
7.3;Morphometric Analyses of Tarhuna Drainage Basins to Accesses Groundwater Potential Using GIS Techniques;73
7.3.1;1 Introduction;73
7.3.2;2 Study Area;74
7.3.3;3 Soil Type and Geologic Formations of the Area;74
7.3.4;4 Materials and Method;74
7.3.5;5 Results and Discussion;74
7.3.5.1;5.1 Linear Morphometric Parameters;74
7.3.5.1.1;5.1.1 Stream Order (S?) and Stream Number (Nu);75
7.3.5.1.2;5.1.2 Stream Length (Lu);75
7.3.5.1.3;5.1.3 Mean Stream Length (Lu);76
7.3.5.1.3.1;Stream Length Ratio (RL);76
7.3.5.1.4;5.1.4 Length of Overland Flow (Lg);76
7.3.5.1.4.1;Bifurcation Ratio (Rb);76
7.3.5.2;5.2 Areal Morphometric Parameters: It Includes Some Elements as the Following;76
7.3.5.2.1;5.2.1 Basin Area (P);76
7.3.5.2.2;5.2.2 Drainage Density (Dd);76
7.3.5.2.3;5.2.3 Drainage Frequency (Fs);76
7.3.5.2.4;5.2.4 Drainage Intensity (Di);77
7.3.5.2.5;5.2.5 Drainage Texture (Dt);77
7.3.5.3;5.3 Relief Morphometric Parameters;77
7.3.5.3.1;5.3.1 Basin Relief (H) and Relief Ratio (Rh);77
7.3.5.3.2;5.3.2 Dissection Index (DI);78
7.3.5.3.3;5.3.3 Basin Slope (Sb);78
7.3.6;6 Total Rainfall Volume on the Catchments at the Study Area;78
7.3.6.1;6.1 Lag-Time and Time of Concentration;79
7.3.7;7 Identification of Groundwater Potential Zones;79
7.3.8;8 Conclusion;82
7.3.9;References;82
7.4;Change Detection in the Horticultural Region of Cape Town Using Landsat Imagery;84
7.4.1;1 Introduction;84
7.4.2;2 Main Body;86
7.4.2.1;2.1 Literature Review;86
7.4.2.2;2.2 Study Area and Datasets;87
7.4.3;3 Methodology;87
7.4.4;4 Results and Discussion;88
7.4.4.1;4.1 NDVI Index;88
7.4.4.2;4.2 Supervised Classification;88
7.4.5;5 Conclusions and Recommendations;89
7.4.6;References;90
8;Part III: Remote Sensing of the Ocean and Coastal Zone Management;92
8.1;Assessment of Lake Victoria´s Trophic Status Using Satellite-Derived Secchi Disk Depth;93
8.1.1;1 Introduction;93
8.1.2;2 Materials and Methods;94
8.1.2.1;2.1 Description of Study Area;94
8.1.2.2;2.2 Data and Methodology;94
8.1.3;3 Results and Discussions;97
8.1.4;4 Conclusions and Recommendations;100
8.1.5;References;101
9;Part IV: Applications of Advanced Remote Sensing Technologies (LIDAR, Hyperspectral) in Africa;102
9.1;Application of Unmanned Aerial Vehicle (UAV) for Small Scale Precision Farming in Botswana;103
9.1.1;1 Introduction;103
9.1.1.1;1.1 The General and Specific Objectives;104
9.1.1.2;1.2 General Background;104
9.1.2;2 Methodology;105
9.1.3;3 Description of the Study Area;107
9.1.4;4 Results and Discussion;108
9.1.5;5 Conclusion;111
9.1.6;References;111
10;Part V: Climate Changes Implications on Sustainable Development in Africa;113
10.1;Spatiotemporal Analysis of Sitatunga (Tragelaphus Spekei) Population´s Response to Flood Variability in Northern Botswana Wetl...;114
10.1.1;1 Introduction;114
10.1.2;2 Materials and Methods;116
10.1.2.1;2.1 Description of the Study Area;116
10.1.2.2;2.2 Data Collection and Analysis;116
10.1.3;3 Results and Discussions;118
10.1.3.1;3.1 Sitatunga Population Trends in Relation to Changes in Inundation Levels;118
10.1.3.2;3.2 Sitatunga Habitat Range Under Present Climate;121
10.1.3.3;3.3 Policy Implications for Sustainable Management of Sitatunga;124
10.1.4;4 Conclusion;124
10.1.5;References;125
10.2;Assessment of the Impact of Deforestation on Forest Carbon Storage. A Case Study of Mabira Forest, Uganda;127
10.2.1;1 Introduction;127
10.2.2;2 Main Body;128
10.2.2.1;2.1 Description of Study Area;128
10.2.2.2;2.2 Data;129
10.2.2.3;2.3 Methodology;129
10.2.3;3 Results and Discussion;131
10.2.3.1;3.1 Validation of Results;134
10.2.4;4 Conclusions and Recommendations;136
10.2.5;References;136
11;Part VI: Space Technologies and Geospatial Sciences for Early Warning Systems;138
11.1;Analysis of the 2012 Flooding Events Downstream of Shiroro Reservoir, A Case of Gurmana Niger State, Nigeria;139
11.1.1;1 Introduction;139
11.1.2;2 Research Method and Design;140
11.1.2.1;2.1 Data and Software Used;140
11.1.2.2;2.2 Equipment´s Used;140
11.1.3;3 Methodology;141
11.1.4;4 Results and Discussion;142
11.1.4.1;4.1 Image Analysis and Classification;142
11.1.4.2;4.2 Flood Extent of Gurmana;145
11.1.4.3;4.3 Water Shade;145
11.1.4.4;4.4 Flood Extent Map of Gurmana Town;146
11.1.4.5;4.5 Vulnerability Map of Gurmana;146
11.1.4.5.1;4.5.1 Slope Angle;146
11.1.4.6;4.6 Flood Vulnerability Map of Gurmana;147
11.1.4.7;4.7 Impacts of the Flood on the Life and Property of the Residents of the Study Area;150
11.1.4.8;4.8 Conclusion;150
11.1.5;References;150
12;Part VII: Big Data and Data Mining of Geospatial Data;152
12.1;Remote Sensing Analysis of the Evolution and Retreat Dynamics of the Auchi Gully, Southwestern Nigeria;153
12.1.1;1 Introduction;153
12.1.2;2 Methodology;155
12.1.2.1;2.1 Apparent Slope Length (ASL) and Gully Floor Width (GF);155
12.1.2.2;2.2 Gully Wall Retreat (GWR);156
12.1.2.3;2.3 Headcut Retreat (HCR);156
12.1.2.4;2.4 Elevation;156
12.1.2.5;2.5 Precipitation;157
12.1.2.6;2.6 Geological Assessment;159
12.1.3;3 Results and Discussion;159
12.1.3.1;3.1 Topography;161
12.1.3.2;3.2 Precipitation;162
12.1.3.3;3.3 Land Use;162
12.1.3.4;3.4 Measured Gully Features;162
12.1.3.5;3.5 Geology;162
12.1.3.6;3.6 Gully System Dynamics;163
12.1.3.6.1;3.6.1 Gully Growth;163
12.1.3.6.2;3.6.2 Gully System Restoration;163
12.1.4;4 Conclusions;165
12.1.5;References;165
12.2;Optimizing the Selection of Spatial and Non-spatial Data for Higher Accuracy Multi-scale Classification of Urban Environments;167
12.2.1;1 Introduction;167
12.2.2;2 Data and Methodology;168
12.2.2.1;2.1 Dataset;168
12.2.2.2;2.2 Modelling the Urban Scene;168
12.2.2.3;2.3 Multi-scale Image Classification;171
12.2.3;3 Results;172
12.2.3.1;3.1 Segmentation;172
12.2.3.2;3.2 Classification Results;173
12.2.4;4 Discussion and Conclusion;174
12.2.5;References;174
12.3;Investigating the Potential of Common Earth Observation Satellite Imagery for Automated Multi-criteria Mapping of Urban Landsc...;176
12.3.1;1 Introduction;176
12.3.2;2 Study Area and Data Preparation;177
12.3.2.1;2.1 Study Area;177
12.3.3;3 Data Preparation;177
12.3.4;4 Image Classification Results;180
12.3.5;5 Conclusion;181
12.3.6;References;183
12.4;Integrating GIS and Remote Sensing for Suitability Assessment of Dams in Solai Nakuru: Kenya;185
12.4.1;1 Introduction;185
12.4.2;2 Methodology;186
12.4.2.1;2.1 Study Area;186
12.4.2.2;2.2 Objectives;186
12.4.2.3;2.3 Data Sources and Collection;186
12.4.2.4;2.4 Data Processing and Presentation;187
12.4.2.5;2.5 Topographical, Drainage and Climate;187
12.4.2.6;2.6 Land Use Land Cover and Demographic;188
12.4.2.7;2.7 Geological and Soil;191
12.4.2.8;2.8 Final Results;193
12.4.2.9;2.9 Discussion;193
12.4.3;3 Conclusions;194