Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91513
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorChoudhary, K-
dc.creatorShi, WZJ-
dc.creatorDong, Y-
dc.date.accessioned2021-11-03T06:54:17Z-
dc.date.available2021-11-03T06:54:17Z-
dc.identifier.issn0134-2452-
dc.identifier.urihttp://hdl.handle.net/10397/91513-
dc.language.isoenen_US
dc.publisherSamarskii Natsional'nyi Issledovatel'skii Universitet imeni Akademika S.P. Korolevaen_US
dc.rightsContent is licensed under a Creative Commons Attribution 4.0 International License (Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/) The following publicationChoudhary K, Shi W, Dong Y. Rice growth vegetation index 2 for improving estimation of rice plant phenology in costal ecosystems. Computer Optics 2021; 45(3): 438-448 is available at https://dx.doi.org/10.18287/2412-6179-CO-827en_US
dc.subjectCrop growthen_US
dc.subjectPhenologyen_US
dc.subjectRice growth vegetation index 2en_US
dc.subjectSpectral indicesen_US
dc.titleRice growth vegetation index 2 for improving estimation of rice plant phenology in costal ecosystemsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage438-
dc.identifier.epage448-
dc.identifier.volume45-
dc.identifier.issue3-
dc.identifier.doi10.18287/2412-6179-CO-827-
dcterms.abstractCrop growth is one of the most important parameters of a crop and its knowledge before har-vest is essential to help farmers, scientists, governments and agribusiness. This paper provides a novel demonstration of the use of freely available Sentinel-2 data to estimate rice crop growth in a single year. Sentinel 2 data provides frequent and consistent information to facilitate coastal monitoring from field scales. The aims of this study were to modify the rice growth vegetation index to improve rice growth phenology in the coastal areas. The rice growth vegetation index 2 is the best vegetation index, compared with 11 vegetation indices, plant height and biomass. The results demonstrate that the coefficient of rice growth vegetation index 2 was 0.83, has the highest correlation with plant height. Rice growth vegetation index 2 is more appropriate for enhancing and ob-taining rice phenology information. This study analyses the best spectral vegetation indices for estimating rice growth.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationComputer optics, 2021, v.45, no. 3, p.438-448-
dcterms.isPartOfComputer optics-
dcterms.issued2021-
dc.identifier.scopus2-s2.0-85110027818-
dc.identifier.eissn2412-6179-
dc.description.validate202110 bcvc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
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