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Remote Sensing Of Global Croplands For Food Security 2009 Edition at Meripustak

Remote Sensing Of Global Croplands For Food Security 2009 Edition by Prasad Thenkabail, Taylor & Francis Ltd

Books from same Author: Prasad Thenkabail

Books from same Publisher: Taylor & Francis Ltd

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  • General Information  
    Author(s)Prasad Thenkabail
    PublisherTaylor & Francis Ltd
    ISBN9781420090093
    Pages556
    BindingHardback
    LanguageEnglish
    Publish YearJune 2009

    Description

    Taylor & Francis Ltd Remote Sensing Of Global Croplands For Food Security 2009 Edition by Prasad Thenkabail

    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 RevolutionLinking 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. Background and History of Global Irrigated Area Maps (GIAM)Context, Need: The Need and Scope for Mapping Global Irrigated and Rain-Fed AreasHugh Turral, Prasad S. Thenkabail, John G. Lyon, andChandrashekhar M. BiradarA History of Irrigated Areas of the WorldY.J. Li, Prasad S. Thenkabail, Chandrashekhar M. Biradar, Praveen Noojipady, Venkateswarlu Dheeravath, Manohar Velpuri, Obi Reddy P. Gangalakunta, and Xueliang L. CaiGlobal Irrigated Area Mapping (GIAM) Using Remote SensingGlobal Irrigated Area Maps (GIAM) and Statistics Using Remote SensingPrasad S. Thenkabail, Chandrashekhar M. Biradar, Praveen Noojipady, Venkateswarlu Dheeravath, MuraliKrishna Gumma, Y.J. Li, Manohar Velpuri, and Obi Reddy P. GangalakuntaGIAM Mapping Section for Selected Global RegionsUncertainty of Estimating Irrigated Areas in ChinaSongcai You, Shunbao Liao, Suchuang Di, and Ye YuanIrrigated Areas of India Derived from Satellite Sensors and National Statistics: A Way Forward from GIAM ExperienceObi Reddy P. Gangalakunta, Venkateswarlu Dheeravath, Prasad S. Thenkabail, G. Chandrakantha, Chandrashekhar M. Biradar, Praveen Noojipady, Manohar Velpuri, and Maji Amal KumarMapping Irrigated Lands across the United States Using MODIS Satellite ImageryJesslyn F. Brown, Susan Maxwell, and Shariar PervezUse of Remote Sensing to Map Irrigated Agriculture in Areas Overlying the Ogallala Aquifer, United StatesBethany Kurz and Santhosh SeelanAssessing the Extent of Urban Irrigated Areas in the United StatesCristina Milesi, Christopher D. Elvidge, and Ramakrishna R. NemaniThe Challenges of Mapping Irrigated Areas in a Temperate Climate: Experiences from EnglandJerry W. Knox, S.A.M. Shamal, E.K. Weatherhead, and J.A. Rodriguez-DiazIrrigated Area Mapping in the CWANA Region and Its Use in Spatial Applications for Land Use Planning, Poverty Mapping, and Water Resources ManagementEddy De PauwSubpixel Mapping of Rice Paddy Fields over Asia Using MODIS Time SeriesWataru Takeuchi and Yoshifumi YasuokaEvapotranspiration Models, Water Use, and Irrigated AreasAssessment of Water Resources and Demands of Agriculture in the Semiarid Middle EastRoland A. Geerken, Ronald B. Smith, Z. Masri, and Eddy De PauwEstimating Actual Evapotranspiration from Irrigated Fields Using a Simplified Surface Energy Balance ApproachGabriel B. Senay, Michael E. Budde, James P. Verdin, and James RowlandSatellite-Based Assessment of Agricultural Water Consumption, Irrigation Performance, and Water Productivity in a Large Irrigation System in PakistanMobin-ud-Din Ahmad, Hugh Turral, Aamir Nazeer, and Asghar HussainRain-Fed Cropland Areas of the WorldGlobal Map of Rainfed Cropland Areas (GMRCA) and Statistics Using Remote SensingChandrashekhar 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 XiaoMethods of Mapping Croplands Using Remote SensingMultiangle Spectral Measurements: A Way to Distinguish Cropping AreasFrancis CanisiusApplying Pattern Recognition to Satellite Data for Detecting Irrigated Lands: A Case Study for Georgia, United StatesVijendra K. Boken, Gerrit Hoogenboom, and Gregory L. EassonMapping Irrigated Crops from Landsat ETM + Imagery for Heterogeneous Cropping Systems in PakistanM.S.D.N. Gamage, Mobin-ud-Din Ahmad, and Hugh TurralAccuracies and ErrorsAccuracy and Error Analysis of Global and Local Maps: Lessons Learned and Future ConsiderationsRussell G. CongaltonWay Forward in Mapping Global Irrigated and Rain-Fed CroplandsRemote Sensing of Global Croplands for Food Security: Way ForwardPrasad S. Thenkabail and John G. Lyon



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