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dc.contributor.advisorSamsuri
dc.contributor.authorAmanda, Sabylita
dc.date.accessioned2023-05-09T12:03:12Z
dc.date.available2023-05-09T12:03:12Z
dc.date.issued2023
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/84602
dc.description.abstractForests are the largest carbon sink, play an important role in the global carbon cycl, and can store at least 10 times more carbon than other vegetation types. The study aims to model the above-ground biomass of forest and palm oil land cover, to map the amount of above-ground biomass in the Asahan District. Tree biomass is measured non-destructive or without cutting a tree sample. The independent variables from the biomass estimation model are NDVI, GNDVI, and TVI from Sentinel 2A images. The coefficient of determination (R2 ) selects the best model from the equation. The research found 12 plant species from 50 sample plots. The selected estimating model of forest coverage biomass is y = 3830,8ln(x) + 2356,6 with a predicted variable of the NDVI by a coefficient of determination (R2 ) of 79 %; palm oil coverage biomass is y = 0,0018x6,8778 with TVI variable by a coefficient of determination (R2) of 21%. The total above-ground biomass for forest coverage is 34,57 tons/ha, and oil palm coverage is 0,07 tons/ha.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectBiomassen_US
dc.subjectNDVIen_US
dc.subjectTVIen_US
dc.subjectForesten_US
dc.subjectPalmen_US
dc.subjectSentinel 2Aen_US
dc.subjectVegetation Indexen_US
dc.titleBiomassa Permukaan Tanah Pada Tutupan Hutan dan Sawit di Kecamatan Aek Song-Songan, Kabupaten Asahan dengan Menggunakan Citra Sentinel 2Aen_US
dc.typeThesisen_US
dc.identifier.nimNIM181201095
dc.identifier.nidnNIDN0009017404
dc.identifier.kodeprodiKODEPRODI54151#Kehutanan
dc.description.pages61 Halamanen_US
dc.description.typeSkripsi Sarjanaen_US


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