Remote Sensing of Global Croplands for Food Security

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Features

  • Provides a comprehensive overview of global irrigated and rainfed croplands
  • Presents case studies from a variety of continents with their own subtle requirements
  • Includes methods on global cropland mapping, inventorying, and modeling using remote sensing and traditional means
  • Contains methods and models for determining actual crop water use
  • Supplies information critical for developing a food secure world for ballooning populations

Summary

Increases in populations have created an increasing demand for food crops while increases in demand for biofuels have created an increase in demand for fuel crops. What has not increased is the amount of croplands and their productivity. These and many other factors such as decreasing water resources in a changing climate have created a crisis like situation in global food security. Decision makers in these situations need accurate information based on science. Remote Sensing of Global Croplands for Food Security provides a comprehensive knowledge base in use of satellite sensor-based maps and statistics that can be used to develop strategies for croplands (irrigated and rainfed) and their water use for food security.

Over 50 Multi-disciplinary Global Experts Give Insight and Provide Practical Approaches

Emphasizing practical mapping technologies based on advanced remote sensing data and methods, this book provides approaches for estimating irrigated and rainfed cropland areas and their water use on a national, continental, or global basis. Written by 50+ leading experts working at the forefront of this critical area, it offers case studies from a variety of continents highlighting the subtle requirements of each. In a very practical way it demonstrates the experience, utility, and models for determining water resources used and resulting yields of irrigated and rainfed croplands. The authors discuss: (a) innovative methods used for mapping croplands, (b) approaches adopted to collect cropland data in different countries by traditional and non-traditional means, (c) accuracies, uncertainties, and errors involved in producing cropland products, (d) surface energy balance models used to assess crop water use, and (e) extensive results and outcomes pertaining to global croplands and their water use.

Develop Strategies for an Enhanced Green Revolution and an Accelerated Blue Revolution

Linking croplands to water use and food security, the book provides a global perspective on this sensitive issue. It gives insight into the extent of cropland usage, their spatial distribution, their cropping intensities, and their water use patterns. The editors collect the experience, methods, models, and results that show the way forward and help in decision-making on water resources and food security. All of this is required for developing strategies for an enhanced green revolution and for an accelerated blue revolution.

Table of Contents

Background and History of Global Irrigated Area Maps (GIAM)
Context, Need: The Need and Scope for Mapping Global Irrigated and Rain-Fed Areas
Hugh Turral, Prasad S. Thenkabail, John G. Lyon, and
Chandrashekhar M. Biradar
A History of Irrigated Areas of the World
Y.J. Li, Prasad S. Thenkabail, Chandrashekhar M. Biradar, Praveen Noojipady, Venkateswarlu Dheeravath, Manohar Velpuri, Obi Reddy P. Gangalakunta, and Xueliang L. Cai
Global Irrigated Area Mapping (GIAM) Using Remote Sensing
Global Irrigated Area Maps (GIAM) and Statistics Using Remote Sensing
Prasad S. Thenkabail, Chandrashekhar M. Biradar, Praveen Noojipady, Venkateswarlu Dheeravath, MuraliKrishna Gumma, Y.J. Li, Manohar Velpuri, and Obi Reddy P. Gangalakunta
GIAM Mapping Section for Selected Global Regions
Uncertainty of Estimating Irrigated Areas in China
Songcai You, Shunbao Liao, Suchuang Di, and Ye Yuan
Irrigated Areas of India Derived from Satellite Sensors and National Statistics: A Way Forward from GIAM Experience
Obi Reddy P. Gangalakunta, Venkateswarlu Dheeravath, Prasad S. Thenkabail, G. Chandrakantha, Chandrashekhar M. Biradar, Praveen Noojipady, Manohar Velpuri, and Maji Amal Kumar
Mapping Irrigated Lands across the United States Using MODIS Satellite Imagery
Jesslyn F. Brown, Susan Maxwell, and Shariar Pervez
Use of Remote Sensing to Map Irrigated Agriculture in Areas Overlying the Ogallala Aquifer, United States
Bethany Kurz and Santhosh Seelan
Assessing the Extent of Urban Irrigated Areas in the United States
Cristina Milesi, Christopher D. Elvidge, and Ramakrishna R. Nemani
The Challenges of Mapping Irrigated Areas in a Temperate Climate: Experiences from England
Jerry W. Knox, S.A.M. Shamal, E.K. Weatherhead, and J.A. Rodriguez-Diaz
Irrigated Area Mapping in the CWANA Region and Its Use in Spatial Applications for Land Use Planning, Poverty Mapping, and Water Resources Management
Eddy De Pauw
Subpixel Mapping of Rice Paddy Fields over Asia Using MODIS Time Series
Wataru Takeuchi and Yoshifumi Yasuoka
Evapotranspiration Models, Water Use, and Irrigated Areas
Assessment of Water Resources and Demands of Agriculture in the Semiarid Middle East
Roland A. Geerken, Ronald B. Smith, Z. Masri, and Eddy De Pauw
Estimating Actual Evapotranspiration from Irrigated Fields Using a Simplified Surface Energy Balance Approach
Gabriel B. Senay, Michael E. Budde, James P. Verdin, and James Rowland
Satellite-Based Assessment of Agricultural Water Consumption, Irrigation Performance, and Water Productivity in a Large Irrigation System in Pakistan
Mobin-ud-Din Ahmad, Hugh Turral, Aamir Nazeer, and Asghar Hussain
Rain-Fed Cropland Areas of the World
Global Map of Rainfed Cropland Areas (GMRCA) and Statistics Using Remote Sensing
Chandrashekhar M. Biradar, Prasad S. Thenkabail, Praveen Noojipady, Y.J. Li, Venkateswarlu Dheeravath, Manohar Velpuri, Hugh Turral, Xueliang L. Cai, MuraliKrishna Gumma, Obi Reddy P. Gangalakunta, Mitchell A. Schull, Ranjith D. Alankara, Sarath Gunasinghe, and Xiangming Xiao
Methods of Mapping Croplands Using Remote Sensing
Multiangle Spectral Measurements: A Way to Distinguish Cropping Areas
Francis Canisius
Applying Pattern Recognition to Satellite Data for Detecting Irrigated Lands: A Case Study for Georgia, United States
Vijendra K. Boken, Gerrit Hoogenboom, and Gregory L. Easson
Mapping Irrigated Crops from Landsat ETM + Imagery for Heterogeneous Cropping Systems in Pakistan
M.S.D.N. Gamage, Mobin-ud-Din Ahmad, and Hugh Turral
Accuracies and Errors
Accuracy and Error Analysis of Global and Local Maps: Lessons Learned and Future Considerations
Russell G. Congalton
Way Forward in Mapping Global Irrigated and Rain-Fed Croplands
Remote Sensing of Global Croplands for Food Security: Way Forward
Prasad S. Thenkabail and John G. Lyon

Editorial Reviews

… provides unique means for understanding and comparing different cropland mapping strategies by utilizing different satellite sensors and ancillary data sets. The chapters are well written for entry level through advanced level remote sensing or agricultural specialists, and each chapter can be read sequentially or separately. … thoroughly documents the techniques and error assessment methods utilized to develop the world's first global irrigated map derived from remote sensing data. … the numerous international authors, color plates, and national cropland statistical tables makes the book an attractive and authoritative reference for mapping global croplands from remote sensing data.
—Curt A. Reynolds, Crop Analyst, Foreign Agricultural Service, USDA, Washington, D.C., in Photogrammetric Engineering & Remote Sensing, June 2010