Remote Sensing of Global Croplands for Food

Growths in population have created an increasing demand for food crops while greater demand for biofuels has created an increasing demand for fuel crops. What has not increased is the amount of croplands and their productivity. These and many other factors, such as depleted water resources in a changing climate, have created a crisis-level situation in global food security. In searching for solutions, decision makers need accurate information based on science. Remote Sensing of Global Croplands for Food Security provides a comprehensive knowledge base in the use of satellite sensor-based maps and statistics that can be applied to the development of strategies for irrigated and rainfed croplands and available water that will ensure food security.

Series Foreword	p. ix
Preface	p. xi
Acknowledgments	p. xv
Editors	p. xix
Contributors	p. xxiii
Abbreviations and Acronyms	p. xxvii
Background and History of Global Irrigated Area Maps (GIAM)
Context, Need: The Need and Scope for Mapping Global Irrigated and Rain-Fed Areas	p. 3
A History of Irrigated Areas of the World	p. 13
Global Irrigated Area Mapping (GIAM) Using Remote Sensing
Global Irrigated Area Maps (GIAM) and Statistics Using Remote Sensing	p. 41
GIAM Mapping Section for Selected Global Regions
Uncertainty of Estimating Irrigated Areas in China	p. 121
Irrigated Areas of India Derived from Satellite Sensors and National Statistics: A Way Forward from GIAM Experience	p. 139
Mapping Irrigated Lands across the United States Using MODIS Satellite Imagery	p. 177
Use of Remote Sensing to Map Irrigated Agriculture in Areas Overlying the Ogallala Aquifer, United States	p. 199
Assessing the Extent of Urban Irrigated Areas in the United States	p. 217
The Challenges of Mapping Irrigated Areas in a Temperate Climate: Experiences from England	p. 237
Irrigated Area Mapping in the CWANA Region and Its Use in Spatial Applications for Land Use Planning, Poverty Mapping, and Water Resources Management	p. 251
Subpixel Mapping of Rice Paddy Fields over Asia Using MODIS Time Series	p. 281
Evapotranspiration Models, Water Use, and Irrigated Areas
Assessment of Water Resources and Demands of Agriculture in the Semiarid Middle East	p. 299
Estimating Actual Evapotranspiration from Irrigated Fields Using a Simplified Surface Energy Balance Approach	p. 317
Satellite-Based Assessment of Agricultural Water Consumption, Irrigation Performance, and Water Productivity in a Large Irrigation System in Pakistan	p. 331
Rain-Fed Cropland Areas of the World
Global Map of Rainfed Cropland Areas (GMRCA) and Statistics Using Remote Sensing	p. 357
Methods of Mapping Croplands Using Remote Sensing
Multiangle Spectral Measurements: A Way to Distinguish Cropping Areas	p. 393
Applying Pattern Recognition to Satellite Data for Detecting Irrigated Lands: A Case Study for Georgia, United States	p. 409
Mapping Irrigated Crops from Landsat ETM + Imagery for Heterogeneous Cropping Systems in Pakistan	p. 421
Accuracies and Errors
Accuracy and Error Analysis of Global and Local Maps: Lessons Learned and Future Considerations	p. 441
Way Forward in Mapping Global Irrigated and Rain-Fed Croplands
Remote Sensing of Global Croplands for Food Security: Way Forward	p. 461
Index	p. 467
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Remote Sensing of Global Croplands for Food Security

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