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_US
cg.contributor.affiliationInternational Water Management Instituteen_US
cg.contributor.donorCGIAR Trust Funden_US
cg.contributor.initiativeLow-Emission Food Systemsen_US
cg.coverage.countryVietnamen_US
cg.coverage.iso3166-alpha2VNen_US
cg.coverage.regionSouth-eastern Asiaen_US
cg.coverage.subregionMekong Deltaen_US
cg.creator.identifierSurajit Ghosh: 0000-0002-3928-2135en_US
cg.creator.identifierBunyod Holmatov: 0000-0001-9267-7008en_US
cg.identifier.doihttps://doi.org/10.3390/su16010189en_US
cg.identifier.iwmilibraryH052473en_US
cg.isijournalISI Journalen_US
cg.issn2071-1050en_US
cg.issue1en_US
cg.journalSustainabilityen_US
cg.reviewStatusPeer Reviewen_US
cg.subject.sdgSDG 2 - Zero hungeren_US
cg.subject.sdgSDG 15 - Life on landen_US
cg.subject.sdgSDG 13 - Climate actionen_US
cg.subject.sdgSDG 6 - Clean water and sanitationen_US
cg.volume16en_US
dc.contributor.authorChowdhury, A.en_US
dc.contributor.authorGhosh, Surajiten_US
dc.contributor.authorHolmatov, Bunyoden_US
dc.date.accessioned2024-01-19T03:16:10Zen_US
dc.date.available2024-01-19T03:16:10Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/138098en_US
dc.titleEarth observation-based rice mapping studies in Vietnamese Mekong Delta compared to global context: a bibliometric analysisen_US
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_US
dcterms.accessRightsOpen Accessen_US
dcterms.available2023-12-25en_US
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_US
dcterms.extent16(1):189.en_US
dcterms.issued2024-01-01en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.publisherMDPIen_US
dcterms.subjectriceen_US
dcterms.subjectmappingen_US
dcterms.subjectearth observation satellitesen_US
dcterms.subjectbibliometric analysisen_US
dcterms.subjectremote sensingen_US
dcterms.subjectfood securityen_US
dcterms.subjectsustainable development goalsen_US
dcterms.subjectgoal 2 zero hungeren_US
dcterms.subjectgoal 15 life on landen_US
dcterms.subjectgoal 13 climate actionen_US
dcterms.subjectgoal 6 clean water and sanitationen_US
dcterms.subjectlandsaten_US
dcterms.subjectmoderate resolution imaging spectroradiometeren_US
dcterms.subjectdeltasen_US
dcterms.typeJournal Articleen_US

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