Water productivity mapping methods using remote sensing

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dc.creatorBiradar, Chandrashekhar M.
dc.creatorThenkabail, Prasad S.
dc.creatorPlatonov, Alexander
dc.creatorXiao, X.
dc.creatorGeerken, R.
dc.creatorNoojipady, P.
dc.creatorTurral, Hugh
dc.creatorVithanage, Jagath
dc.date2008
dc.date2014-06-13T14:48:12Z
dc.date2014-06-13T14:48:12Z
dc.date.accessioned2026-06-27T18:44:05Z
dc.descriptionThe goal of this paper was to develop methods and protocols for water productivity mapping (WPM) using remote sensing data at multiple resolutions and scales in conjunction with field-plot data. The methods and protocols involved three broad categories: (a) Crop Productivity Mapping (CPM) (kg/m2); (b) Water Use (evapotranspiration) Mapping (WUM)(m3/m2); and (c) Water Productivity Mapping (WPM) (kg/m3). First, the CPMs were determined using remote sensing by: (i) Mapping crop types; (ii) modeling crop yield; and (iii) extrapolating models to larger areas. Second, WUM were derived using the Simplified Surface Energy Balance (SSEB) model. Finally, WPMs were produced by dividing CPMs and WUMs. The paper used data from Quickbird 2.44m, Indian Remote Sensing (IRS) Resoursesat-1 23.5m, Landsat-7 30m, and Moderate Resolution Imaging Spectroradiometer (MODIS) 250m and 500m, to demonstrate the methods for mapping water productivity (WP). In terms of physical water productivity (kilogram of yield produced per unit of water delivered), wheat crop had highest water productivity of 0.60 kg/m3 (WP), followed by rice with 0.5 kg/m3, and cotton with 0.42 kg/m3. In terms of economic value (dollar per unit of water delivered), cotton ranked highest at $ 0.5/m3 followed by wheat with $ 0.33/m3 and rice at $ 0.10/m3. The study successfully delineated the areas of low and high WP. An overwhelming proportion (50+%) of the irrigated areas were under low WP for all crops with nly about 10% area in high WP.
dc.identifierhttps://hdl.handle.net/10568/40694
dc.identifier.urihttp://hdl.handle.net/123456789/164031
dc.languageen
dc.rightsLimited Access
dc.sourceBiradar, C. M.; Thenkabail, Prasad S.; Platonov, Alexander; Xiao, X.; Geerken, R.; Noojipady, P.; Turral, H.; Vithanage, Jagath. 2008. Water productivity mapping methods using remote sensing. Journal of Applied Remote Sensing, 2(1):023544. 22p. (Published online only)
dc.subjectwater productivity
dc.subjectmapping
dc.subjectremote sensing
dc.subjectvegetation index
dc.subjectevapotranspiration
dc.subjectwheat
dc.subjectrice
dc.subjectcotton
dc.subjectirrigated farming
dc.titleWater productivity mapping methods using remote sensing
dc.typeJournal Article

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Instituto Internacional para el Manejo del Agua (IWMI)