Remote sensing and census based assessment and scope for improvement of rice and wheat water productivity in the Indo-Gangetic Basin

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cg.contributor.affiliationInternational Water Management Instituteen
cg.coverage.countryIndia
cg.coverage.countryPakistan
cg.coverage.countryBangladesh
cg.coverage.countryNepal
cg.coverage.countryChina
cg.coverage.countryAfghanistan
cg.coverage.iso3166-alpha2IN
cg.coverage.iso3166-alpha2PK
cg.coverage.iso3166-alpha2BD
cg.coverage.iso3166-alpha2NP
cg.coverage.iso3166-alpha2CN
cg.coverage.iso3166-alpha2AF
cg.coverage.regionSouthern Asia
cg.coverage.regionEastern Asia
cg.identifier.doihttps://doi.org/10.1007/s11431-009-0346-3en
cg.issn1006-9321en
cg.issn1862-281Xen
cg.issue11en
cg.journalScience in China Series E: Technological Sciencesen
cg.river.basinINDUSen
cg.river.basinGANGESen
cg.subject.cpwfFARMING SYSTEMSen
cg.subject.cpwfWATER USEen
cg.subject.cpwfWATER PRODUCTIVITYen
cg.subject.cpwfSPATIAL ANALYSISen
cg.volume52en
dc.contributor.authorCai, X.L.en
dc.contributor.authorSharma, Bharat R.en
dc.date.accessioned2012-10-23T05:46:50Zen
dc.date.available2012-10-23T05:46:50Zen
dc.identifier.urihttps://hdl.handle.net/10568/24602
dc.titleRemote sensing and census based assessment and scope for improvement of rice and wheat water productivity in the Indo-Gangetic Basinen
dcterms.abstractUnderstanding of crop water productivity (WP) over large scale, e.g., river basin, has significant impli-cations for sustainable basin development planning. This paper presents a simplified approach to combine remote sensing, census and weather data to analyze basin rice and wheat WP in In-do-Gangetic River Basin, South Asia. A crop dominance map is synthesized from ground truth data and three existing LULC maps. National statistics on crop area and production information are collected and the yield is interpolated to pixel level using moderate resolution imaging spectroradiometer (MODIS) normalized difference vegetation index (NDVI). Crop evapotranspiration is mapped using simplified surface energy balance (SSEB) model with MODIS land surface temperature products and meteorological data collected from 56 weather stations. The average ET by rice and wheat is 368 mm and 210 mm respectively, accounting for only 69% and 65% of potential ET, and 67% and 338% of rain-fall of the crop growth period measured from Tropical Rainfall Measurement Mission (TRMM). Average WP for rice and wheat is 0.84 and 1.36 kg/m3 respectively. WP variability generally follows the same trend as shown by crop yield disregarding climate and topography changes. Sum of rice-wheat water productivity, however, exhibits different variability leading to better understanding of irrigation water management as wheat heavily relies on irrigation. Causes for variations and scope for improvement are also analyzed.en
dcterms.accessRightsLimited Access
dcterms.available2009-12-04
dcterms.bibliographicCitationCai, X., Sharma, B. Remote sensing and census based assessment and scope for improvement of rice and wheat water productivity in the Indo-Gangetic Basin. Sci. China Ser. E-Technol. Sci. 52, 3300–3308 (2009). https://doi.org/10.1007/s11431-009-0346-3en
dcterms.extentpp. 3300-3308en
dcterms.issued2009-11
dcterms.languageen
dcterms.licenseCopyrighted; all rights reserved
dcterms.publisherSpringeren
dcterms.replaceshttps://hdl.handle.net/10568/40586en
dcterms.subjectremote sensingen
dcterms.subjectwater productivityen
dcterms.subjectcropping systemsen
dcterms.subjectriceen
dcterms.subjectwheaten
dcterms.subjectevapotranspirationen
dcterms.subjectmodelsen
dcterms.subjectmappingen
dcterms.subjectriver basinsen
dcterms.typeJournal Article

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