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dc.contributorThenkabail, Prasaden_US
dc.contributorTelguntla, Pardhasaradhien_US
dc.contributorWhitbread, Anthonyen_US
dc.creatorGumma, Murali Krishnaen_US
dc.date.accessioned2019-03-11T17:01:13Z
dc.date.available2019-03-11T17:01:13Z
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifierhttp://oar.icrisat.org/10867/en_US
dc.identifier.citationMurali Krishna Gumma, Prasad Thenkabail, Pardhasaradhi Telguntla, Anthony Whitbread. (12/9/2018). Monitoring of spatiotemporal dynamics of Rabi rice fallows in South Asia using remote sensing. In: Geospatial Technologies in Land Resources, Mapping, Monitoring and Management, Geotechnologies and the Environment, in "Geospatial Technologies in Land Resources Mapping, Monitoring and Management". Germany: springer international publishing.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/9640
dc.description.abstractCereals and grain legumes are the most important part of human diet and nutrition. The expansion of grain legumes with improved productivity to cater the growing population’s nutritional security is of prime importance and need of the hour. Rice fallows are best niche areas with residual moisture to grow short-duration legumes, thereby achieving intensification. Identifying suitable areas for grain legumes and cereal grains is important in this region. In this context, the goal of this study was to map fallow lands followed by rainy season (kharif) rice cultivation or post-rainy (rabi) fallows in rice-growing environments between 2005 and 2015 using temporal moderate-resolution imaging spectroradiometer (MODIS) data applying spectral matching techniques. This study was conducted in South Asia where different rice ecosystems exist. MODIS 16 day normalized difference vegetation index (NDVI) at 250 m spatial resolution and season-wise-intensive ground survey data were used to map rice systems and the fallows thereafter (rabi fallows) in South Asia. The rice maps were validated with independent ground survey data and compared with available subnational-level statistics. Overall accuracy and kappa coefficient estimated for rice classes were 81.5% and 0.79%, respectively, with ground survey data. The derived physical rice area and irrigated areas were highly correlated with the subnational statistics with R2 values of 94% at the district level for the years 2005–2006 and 2015–2016. Results clearly show that rice fallow areas increased from 2005 to 2015. The results show spatial distribution of rice fallows in South Asia, which are identified as target domains for sustainable intensification of short-duration grain legumes, fixing the soil nitrogen and increasing incomes of small-holder farmers.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherspringer international publishingen_US
dc.rightsCC-BY-NC-4.0en_US
dc.subjectspectral matching techniquesen_US
dc.subjectseasonal rice mappingen_US
dc.subjectmodis 250 men_US
dc.subjectground survey dataen_US
dc.subjectrice fallowsen_US
dc.subjectpotential areasen_US
dc.subjectRiceen_US
dc.subjectLegumeen_US
dc.titleMonitoring of spatiotemporal dynamics of Rabi rice fallows in South Asia using remote sensing. In: Geospatial Technologies in Land Resources, Mapping, Monitoring and Management, Geotechnologies and the Environmenten_US
dc.typeBook Chapteren_US
dcterms.available2018-09-12en_US
cg.creator.idWhitbread, Anthony: 0000-0003-4840-7670en_US
cg.subject.agrovocgrain legumesen_US
cg.subject.agrovocndvien_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 Grain Legumes and Dryland Cereals - GLDCen_US
cg.contributor.funderCGIAR System Organization - CGIARen_US
cg.date.embargo-end-dateTimelessen_US
cg.coverage.regionSouthern Asiaen_US
cg.coverage.countryINen_US
cg.contactM.Gumma@cgiar.orgen_US
cg.identifier.doihttps://dx.doi.org/10.1007/978-3-319-78711-4_21en_US
dc.identifier.statusTimeless limited accessen_US
cg.isbn978-3-319-78710-7en_US


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