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dc.contributorSaraf, Saksien_US
dc.contributorBehera, Mukundaen_US
dc.contributorBiradar, Chandrashekharen_US
dc.creatorGhosh, Sujiten_US
dc.identifier.citationSujit Ghosh, Saksi Saraf, Mukunda Behera, Chandrashekhar Biradar. (31/12/2017). Estimating Agricultural Crop Types and Fallow Lands Using Multi Temporal Sentinel-2A Imageries. Proceedings- National Academy of Siences India Section a, 87(4), pp. 769-779.en_US
dc.description.abstractMeeting the food and nutritional demands of ever growing human population will cause immense pressure on agricultural lands and natural resource bases across the world. This challenge can be met only by proper land and water management, which consists of crucial components like understanding cropping systems and crop fallow dynamics for sustainable intensification. In this work, a methodology was developed for crop and crop fallow land estimation using multi-temporal, high spatial resolution Sentinel-2A data in a test site of Odisha state, in India, comprising of two districts i.e., Bhadrak and Jajpur. Customized codes were written to find temporal variation pattern of NDVI values for each pixel in the study area. Observing the variation of NDVI over time, we have attempted to estimate crop life cycle duration and their type with rigorous field inputs. The cropland and fallow land intensification maps showed 10-different cropping pattern with classification accuracy of 83.33%, and kappa coefficient of 0.81. We observed that (1) kharif is the major crop in the study area, while rabi mainly grows in areas where external fresh water sources are available (2) a large portion of the area remains fallow for most part of the year as mapped from Sentinel 2A data. There is scope to utilise the fallow lands for multi-cropping with appropriate land and water management, through the government policy prescriptions. With Sentinel-2B sensor now on board, the temporal resolution of satellite-2 (2A and 2B combined) could improve leading to improved classification and upgradation of the algorithm followed here.en_US
dc.publisherNational Academy of Sciences, Indiaen_US
dc.sourceProceedings- National Academy of Siences India Section a;87,(2017) Pagination 769,779en_US
dc.subjectseasonal crop mappingen_US
dc.subjectfallow intensificationen_US
dc.titleEstimating Agricultural Crop Types and Fallow Lands Using Multi Temporal Sentinel-2A Imageriesen_US
dc.typeJournal Articleen_US
cg.subject.agrovocremote sensingen_US
cg.contributor.centerIndian Institute of Technology, Centre for Oceans, Rivers, Atmosphere and Land Sciences - IITK - CORALen_US
cg.contributor.centerIndian Institute of Technology - IITKen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.crpCRP on Grain Legumes and Dryland Cereals - GLDCen_US
cg.contributor.funderIndian Council of Agricultural Research - ICARen_US
cg.contributor.projectIndia Collaborative Program: Restricted funding for breeding for resistance to abiotic stresses in pulses & for 2017/2018 - 2021/2022en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.regionSouthern Asiaen_US
dc.identifier.statusLimited accessen_US

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