Estimating biomass of savanna grasslands as a proxy of carbon stock using multispectral remote sensing

cg.contributor.affiliationInternational Water Management Institute
cg.contributor.crpWater, Land and Ecosystems
cg.coverage.countryZimbabwe
cg.coverage.iso3166-alpha2ZW
cg.coverage.regionEastern Africa
cg.creator.identifierLuxon Nhamo: 0000-0003-2944-1769
cg.identifier.doihttps://doi.org/10.1016/j.rsase.2019.100275
cg.identifier.iwmilibraryH049412
cg.issn2352-9385
cg.journalRemote Sensing Applications: Society and Environment
cg.number100275
cg.reviewStatusPeer Review
cg.volume17
dc.contributor.authorChapungu, L.
dc.contributor.authorNhamo, Luxon
dc.contributor.authorGatti, R.C.
dc.date.accessioned2020-01-08T09:18:47Zen
dc.date.available2020-01-08T09:18:47Zen
dc.identifier.urihttps://hdl.handle.net/10568/106471
dc.titleEstimating biomass of savanna grasslands as a proxy of carbon stock using multispectral remote sensingen
dcterms.accessRightsLimited Access
dcterms.bibliographicCitationChapungu, L.; Nhamo, Luxon; Gatti, R. C. 2020. Estimating biomass of savanna grasslands as a proxy of carbon stock using multispectral remote sensing. Remote Sensing Applications: Society and Environment, 17:100275. doi: 10.1016/j.rsase.2019.100275en
dcterms.extent17:100275
dcterms.issued2020-01
dcterms.languageen
dcterms.licenseCopyrighted; all rights reserved
dcterms.publisherElsevier
dcterms.subjectcarbon stock assessmentsen
dcterms.subjectsavannasen
dcterms.subjectgrasslandsen
dcterms.subjectbiomassen
dcterms.subjectestimationen
dcterms.subjectremote sensingen
dcterms.subjectclimate changeen
dcterms.subjectgreenhouse gas emissionsen
dcterms.subjectecosystemsen
dcterms.subjectsatellite imageryen
dcterms.subjectlandsaten
dcterms.subjectmodelsen
dcterms.typeJournal Article

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