Mapping Direct Seeded Rice in Raichur District of Karnataka, India

cg.contactM.Gumma@cgiar.orgen_US
cg.contributor.centerInternational Crops Research Institute for the Semi-Arid Tropics - ICRISATen_US
cg.contributor.crpCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.funderNot Applicableen_US
cg.coverage.countryINen_US
cg.coverage.regionSouthern Asiaen_US
cg.creator.idWhitbread, Anthony: 0000-0003-4840-7670en_US
cg.date.embargo-end-date2017-11-30en_US
cg.identifier.doihttps://dx.doi.org/10.14358/PERS.81.11.873en_US
cg.isijournalISI Journalen_US
cg.issn0099-1112en_US
cg.issue11en_US
cg.journalPhotogrammetric engineering and remote sensingen_US
cg.subject.agrovocagricultureen_US
cg.subject.agrovockarnatakaen_US
cg.subject.agrovocriceen_US
cg.subject.agrovocmappingen_US
cg.volume81en_US
dc.contributorUppala, Deepikaen_US
dc.contributorAhmed, Mohammeden_US
dc.contributorWhitbread, Anthonyen_US
dc.contributorRafi, Ismail M. D.en_US
dc.creatorGumma, Murali Krishnaen_US
dc.date.accessioned2017-04-05T22:44:27Z
dc.date.available2017-04-05T22:44:27Z
dc.description.abstractAcross South Asia, the cost of rice cultivation has increased due to labor shortage. Direct seeding of rice is widely promoted in order to reduce labor demand during crop establishment stage, and to benefit poor farmers. To facilitate planning and to track farming practice changes, this study presents techniques to spatially distinguish between direct seeded and transplanted rice fields using multiple-sensor remote sensing imagery. The District of Raichur, a major region in northeast Karnataka, Central India, where irrigated rice is grown and direct seeded rice has been widely promoted since 2000, was selected as a case study. The extent of cropland was mapped using Landsat-8, Moderate Resolution Imaging Spectroradiometer (MODIS) 16-day normalized difference vegetation index (NDVI) time-series data and the cultivation practice delineated using RISAT-1 data for the year 2014. Areas grown to rice were mapped based on the length of the growing period detected using spectral characteristics and intensive field observations. The high resolution imagery of Landsat-8 was useful to classify the rice growing areas. The accuracy of land-use/landcover (LULC) classes varied from 84 percent to 98 percent. The results clearly demonstrated the usefulness of multiple-sensor imagery from MOD09Q1, Landsat-8, and RISAT-1 in mapping the rice area and practices accurately, routinely, and consistently. The low cost of imagery backed by ground survey, as demonstrated in this paper, can also be used across rice growing countries to identify different rice systems.en_US
dc.formatPDFen_US
dc.identifierhttp://oar.icrisat.org/id/eprint/9183en_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/0LqQ1mni/v/d5dba4e9908837e5214cb568eb17b16ben_US
dc.identifier.citationMurali Krishna Gumma, Deepika Uppala, Mohammed Ahmed, Anthony Whitbread, Ismail M. D. Rafi. (30/11/2015). Mapping Direct Seeded Rice in Raichur District of Karnataka, India. Photogrammetric engineering and remote sensing, 81 (11), pp. 873-880.en_US
dc.identifier.statusLimited accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/6596
dc.languageenen_US
dc.publisherAmerican Society for Photogrammetry and Remote Sensing - ASPRSen_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourcePhotogrammetric engineering and remote sensing;81,(2015) Pagination 873,880en_US
dc.subjectraichuren_US
dc.subjectdirect seeded riceen_US
dc.subjectRiceen_US
dc.titleMapping Direct Seeded Rice in Raichur District of Karnataka, Indiaen_US
dc.typeJournal Articleen_US
dcterms.available2015-11-30en_US
dcterms.extent873-880en_US
mel.impact-factor1.288en_US

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