Mapping active paddy rice area over monsoon asia using time-series Sentinel – 2 images in Google earth engine; a case study over lower gangetic plain

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cg.contributor.donorMicrosoft Researchen
cg.contributor.donorGovernment of Indiaen
cg.contributor.donorDepartment of Science and Technology, Indiaen
cg.coverage.countryIndia
cg.coverage.iso3166-alpha2IN
cg.coverage.regionSouthern Asia
cg.coverage.subregionWest Bengal
cg.coverage.subregionLower Gangetic Plain
cg.creator.identifierSurajit Ghosh: 0000-0002-3928-2135
cg.identifier.doihttps://doi.org/10.1080/10106049.2022.2032396en
cg.identifier.iwmilibraryH051089
cg.isijournalISI Journalen
cg.issn1010-6049en
cg.issue25en
cg.journalGeocarto Internationalen
cg.reviewStatusPeer Reviewen
cg.volume37en
dc.contributor.authorMaiti, A.en
dc.contributor.authorAcharya, P.en
dc.contributor.authorSannigrahi, S.en
dc.contributor.authorZhang, Q.en
dc.contributor.authorBar, S.en
dc.contributor.authorChakraborti, S.en
dc.contributor.authorGayen, B. K.en
dc.contributor.authorBarik, G.en
dc.contributor.authorGhosh, Surajiten
dc.contributor.authorPunia, M.en
dc.date.accessioned2022-04-30T23:58:05Zen
dc.date.available2022-04-30T23:58:05Zen
dc.identifier.urihttps://hdl.handle.net/10568/119435
dc.titleMapping active paddy rice area over monsoon asia using time-series Sentinel – 2 images in Google earth engine; a case study over lower gangetic plainen
dcterms.abstractWe proposed a modification of the existing approach for mapping active paddy rice fields in monsoon-dominated areas. In the existing PPPM approach, LSWI higher than EVI at the transplantation stage enables the identification of rice fields. However, it fails to recognize the fields submerged later due to monsoon floods. In the proposed approach (IPPPM), the submerged fields, at the maximum greenness time, were excluded for better estimation. Sentinel–2A/2B time-series images were used for the year 2018 to map paddy rice over the Lower Gangetic Plain (LGP) using Google earth engine (GEE). The overall accuracy (OA) obtained from IPPPM was 85%. Further comparison with the statistical data reveals the IPPPM underestimates (slope (b1) ¼ 0.77) the total reported paddy rice area, though R2 remains close to 0.9. The findings provide a basis for near real-time mapping of active paddy rice areas for addressing the issues of production and food security.en
dcterms.accessRightsLimited Access
dcterms.available2022-02-08
dcterms.bibliographicCitationMaiti, A.; Acharya, P.; Sannigrahi, S.; Zhang, Q.; Bar, S.; Chakraborti, S.; Gayen, B. K.; Barik, G.; Ghosh, Surajit; Punia, M. 2022. Mapping active paddy rice area over monsoon Asia using time-series Sentinel – 2 images in Google Earth engine; a case study over Lower Gangetic Plain. Geocarto International, 37(25):10254-10277. [doi: https://doi.org/10.1080/10106049.2022.2032396]en
dcterms.extentp. 10254-10277en
dcterms.issued2022-12-13
dcterms.languageen
dcterms.licenseCopyrighted; all rights reserved
dcterms.publisherInforma UK Limiteden
dcterms.subjectriceen
dcterms.subjectmappingen
dcterms.subjectsatellite imageryen
dcterms.subjectmonsoonsen
dcterms.subjecttime series analysisen
dcterms.subjectcase studiesen
dcterms.subjectfarmlanden
dcterms.subjectprecipitationen
dcterms.subjectmodelsen
dcterms.typeJournal Article

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