Indo-Ganges River Basin Land Use/Land Cover (LULC) and Irrigated Area Mapping

cg.contactA.Whitbread@cgiar.orgen_US
cg.contributor.centerInternational Crops Research Institute for the Semi-Arid Tropics - ICRISATen_US
cg.contributor.centerU.S. Geological Survey - USGSen_US
cg.contributor.crpCGIAR Research Program on Water, Land and Ecosystems - WLEen_US
cg.contributor.crpCGIAR Research Program on Grain Legumes and Dryland Cereals - GLDCen_US
cg.contributor.funderCGIAR System Organization - CGIARen_US
cg.coverage.countryINen_US
cg.coverage.regionSouthern Asiaen_US
cg.creator.idWhitbread, Anthony: 0000-0003-4840-7670en_US
cg.date.embargo-end-dateTimelessen_US
cg.identifier.doihttps://dx.doi.org/10.1016/B978-0-12-812782-7.00010-2en_US
cg.subject.agrovocmodisen_US
dc.creatorWhitbread, Anthonyen_US
dc.date.accessioned2020-02-11T05:07:18Z
dc.date.available2020-02-11T05:07:18Z
dc.description.abstractThis study was conducted to map detailed land use/land cover (LULC) and irrigated area categories in the Ganges and Indus River basins using near-continuous time-series 250 m resolution moderate-resolution imaging spectroradiometer (MODIS) data. The study used a unique data set—a stack of 46 images, 23 MODIS images each of 2-bands, compiled from MODIS terra images for the years 2013 and 2014. Field-plot data were gathered from 553 precise geographic locations covering about 8000 km in the basins. Spatial information on cropland and irrigated area distribution was restricted by the district-level crop statistics published by the state or national governments in India and Pakistan. Statistics were collected by irrigation and agriculture departments, but there was discrepancy in the irrigated area between departments. Water availability in major command areas varied frequently due to rainfall fluctuations, which leads to an inadequate water supply during critical crop growth stages. The study analyzed MODIS 16-day normalized difference vegetation index (NDVI) time-series data acquired for 2013 and 2014 using spectral matching techniques (SMTs). The map output accuracies were evaluated based on independent ground data and compared with subnational level statistics. The producer's and user's accuracies of the cropland classes were between 70% and 85%. The overall accuracy and the kappa coefficient estimated for irrigated areas were both 84%.en_US
dc.formatTXTen_US
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationAnthony Whitbread. (23/1/2019). Indo-Ganges River Basin Land Use/Land Cover (LULC) and Irrigated Area Mapping, in "Indus River Basin: Water Security and Sustainability". United States: Elsevier Inc.en_US
dc.identifier.statusTimeless limited accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/10685
dc.languageenen_US
dc.publisherElsevier Incen_US
dc.rightsCC-BY-NC-4.0en_US
dc.subjectground dataen_US
dc.subjectirrigated areasen_US
dc.subjectmodismdvien_US
dc.subjectindo-ganges basinen_US
dc.subjectmoderate-resolution imaging spectrora diometer dataen_US
dc.titleIndo-Ganges River Basin Land Use/Land Cover (LULC) and Irrigated Area Mappingen_US
dc.typeBook Chapteren_US
dcterms.available2019-01-23en_US

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