part Section I: Background and History of Global Irrigated Area Maps (GIAM) -- chapter 1 Chapter Context, Need: The Need and Scope for Mapping Global Irrigated and Rain-Fed Areas -- chapter 2 Chapter A History of Irrigated Areas of the World -- part Section II: Global Irrigated Area Mapping (GIAM) Using Remote Sensing -- chapter 3 Chapter Global Irrigated Area Maps (GIAM) and Statistics Using Remote Sensing -- part Section III: GIAM Mapping Section for Selected Global Regions -- chapter 4 Chapter Uncertainty of Estimating Irrigated Areas in China -- chapter 5 Chapter Irrigated Areas of India Derived from Satellite Sensors and National Statistics: A Way Forward from GIAM Experience -- chapter 6 Chapter Mapping Irrigated Lands across the United States Using MODIS Satellite Imagery -- chapter 7 Chapter Use of Remote Sensing to Map Irrigated Agriculture in Areas Overlying the Ogallala Aquifer, United States -- chapter 8 Chapter Assessing the Extent of Urban Irrigated Areas in the United States -- chapter 9 Chapter The Challenges of Mapping Irrigated Areas in a Temperate Climate: Experiences from England -- chapter 10 Chapter Irrigated Area Mapping in the CWANA Region and Its Use in Spatial Applications for Land Use Planning, Poverty Mapping, and Water Resources Management -- chapter 11 Chapter Subpixel Mapping of Rice Paddy Fields over Asia Using MODIS Time Series -- part Section IV: Evapotranspiration Models, Water Use, and Irrigated Areas -- chapter 12 Chapter Assessment of Water Resources and Demands of Agriculture in the Semiarid Middle East -- chapter 13 Chapter Estimating Actual Evapotranspiration from Irrigated Fields Using a Simplified Surface Energy Balance Approach -- chapter 14 Chapter Satellite-Based Assessment of Agricultural Water Consumption, Irrigation Performance, and Water Productivity in a Large Irrigation System in Pakistan -- part Section V: Rain-Fed Cropland Areas of the World -- chapter 15 Chapter Global Map of Rainfed Cropland Areas (GMRCA) and Statistics Using Remote Sensing -- part Section VI: Methods of Mapping Croplands Using Remote Sensing -- chapter 16 Chapter Multiangle Spectral Measurements: A Way to Distinguish Cropping Areas -- chapter 17 Chapter Applying Pattern Recognition to Satellite Data for Detecting Irrigated Lands: A Case Study for Georgia, United States -- chapter 18 Chapter Mapping Irrigated Crops from Landsat ETM + Imagery for Heterogeneous Cropping Systems in Pakistan -- part Section VII: Accuracies and Errors -- chapter 19 Chapter Accuracy and Error Analysis of Global and Local Maps: Lessons Learned and Future Considerations -- part Section VIII: Way Forward in Mapping Global Irrigated and Rain-Fed Croplands -- chapter 20 Chapter Remote Sensing of Global Croplands for Food Security: Way Forward.