Earth observation-based rice mapping studies in Vietnamese Mekong Delta compared to global context: a bibliometric analysis

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cg.contributor.affiliationBirla Institute of Technology Mesra, Jharkhand, Indiaen
cg.contributor.affiliationInternational Water Management Instituteen
cg.contributor.donorCGIAR Trust Funden
cg.contributor.initiativeLow-Emission Food Systems
cg.coverage.countryVietnam
cg.coverage.iso3166-alpha2VN
cg.coverage.regionSouth-eastern Asia
cg.coverage.subregionMekong Delta
cg.creator.identifierSurajit Ghosh: 0000-0002-3928-2135en
cg.creator.identifierBunyod Holmatov: 0000-0001-9267-7008en
cg.identifier.doihttps://doi.org/10.3390/su16010189en
cg.identifier.iwmilibraryH052473en
cg.isijournalISI Journalen
cg.issn2071-1050en
cg.issue1en
cg.journalSustainabilityen
cg.reviewStatusPeer Reviewen
cg.subject.sdgSDG 2 - Zero hungeren
cg.subject.sdgSDG 15 - Life on landen
cg.subject.sdgSDG 13 - Climate actionen
cg.subject.sdgSDG 6 - Clean water and sanitationen
cg.volume16en
dc.contributor.authorChowdhury, A.en
dc.contributor.authorGhosh, Surajiten
dc.contributor.authorHolmatov, Bunyoden
dc.date.accessioned2024-01-19T03:16:10Zen
dc.date.available2024-01-19T03:16:10Zen
dc.identifier.urihttps://hdl.handle.net/10568/138098
dc.titleEarth observation-based rice mapping studies in Vietnamese Mekong Delta compared to global context: a bibliometric analysisen
dcterms.abstractA bibliometric study on mapping the rice cropping systems in VMD is crucial for understanding the trend of EO-based rice mapping and how remote sensing technologies are essential to address the food security issue in the region. This article presents an overview of Earth observation (EO)-based rice mapping strategies since 1979, prioritizing the scope of data, approaches, and techniques derived from 3700 research articles worldwide and contrasting them with the Vietnamese Mekong Delta (VMD). Various quantitative analyses were conducted through bibliometric analysis using the VOS viewer and Scopus database. Optical images, particularly the Landsat (~16%) and MODIS (~12%) time series datasets, were the most commonly utilized globally. MODIS data (~31%) had the highest share in the VMD context, followed by Landsat data (~19%), while Sentinel series (~13% for global and ~16% for VMD) data became more popular in recent years. Research on rice mapping using UAVs has been gradually creeping into rice mapping research globally, but a gap is yet to be filled in the VMD. The most widely used approaches for rice mapping globally were Random Forest, Support Vector Machine, and Principal Component Analysis. Spectral indices like EVI, NDVI, and RVI were commonly used for rice mapping and monitoring. The findings underscore the critical role of EO-based rice mapping studies in the VMD in addressing sustainability and food security challenges.en
dcterms.accessRightsOpen Access
dcterms.available2023-12-25en
dcterms.bibliographicCitationChowdhury, A.; Ghosh, Surajit; Holmatov, Bunyod. 2024. Earth observation-based rice mapping studies in Vietnamese Mekong Delta compared to global context: a bibliometric analysis. Sustainability, 16(1):189. [doi: https://doi.org/10.3390/su16010189]en
dcterms.extent16(1):189.en
dcterms.issued2024-01-01en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherMDPIen
dcterms.subjectriceen
dcterms.subjectmappingen
dcterms.subjectearth observation satellitesen
dcterms.subjectbibliometric analysisen
dcterms.subjectremote sensingen
dcterms.subjectfood securityen
dcterms.subjectsustainable development goalsen
dcterms.subjectgoal 2 zero hungeren
dcterms.subjectgoal 15 life on landen
dcterms.subjectgoal 13 climate actionen
dcterms.subjectgoal 6 clean water and sanitationen
dcterms.subjectlandsaten
dcterms.subjectmoderate resolution imaging spectroradiometeren
dcterms.subjectdeltasen
dcterms.typeJournal Article

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