Water Productivity Mapping (WPM) Using Landsat ETM+ Data for the Irrigated Croplands of the Syrdarya River Basin in Central Asia

Water Productivity Mapping (WPM) Using Landsat ETM+ Data for the Irrigated Croplands of the Syrdarya River Basin in Central Asia

The overarching goal of this paper was to espouse methods and protocols for water productivity mapping (WPM) using high spatial resolution Landsat remote sensing data. In a world where land and water for agriculture are becoming increasingly scarce, growing “more crop per drop†(increasing...

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Bibliographic Details
Main Authors: Sabirjan Isaev, Shavkat Kendjabaev, Herath Manthrithilake, Jagath Vithanage, Eyal Ben-Dor, Naftali Goldshlager, Victor Alchanatis, Yafit Cohen, Venkateswarlu Dheeravath, Muralikrishna Gumma, Xueliang Cai, Chandrashekhar M. Biradar, Prasad S. Thenkabail, Alexander Platonov
Format: Article
Language:English
Published: MDPI AG 2008-12-01
Series:Sensors
Subjects:
Water productivity mapping
remote sensing
water use
crop productivity
crop yield modeling
simplified surface energy balance model
Central Asia
Syrdarya river basin
Online Access:http://www.mdpi.com/1424-8220/8/12/8156/

Internet

http://www.mdpi.com/1424-8220/8/12/8156/

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