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...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
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
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2008-12-01
Colecção:Sensors
Assuntos:
Water productivity mapping
remote sensing
water use
crop productivity
crop yield modeling
simplified surface energy balance model
Central Asia
Syrdarya river basin
Acesso em linha:http://www.mdpi.com/1424-8220/8/12/8156/
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados