Repo Dosen ULM

Korespodensi Spatial Model of Carbon Stocks in Special Purpose Forest Area (KHDTK) Mungku Baru, Central Kalimantan Province, Indonesia

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dc.contributor.author Hanafi, Nanang
dc.contributor.author Jauhari, Ahmad
dc.contributor.author Hatta, Gusti Muhammad
dc.contributor.author Hafizianor
dc.date.accessioned 2025-03-13T00:06:05Z
dc.date.available 2025-03-13T00:06:05Z
dc.date.issued 2025-01-30
dc.identifier.citation [email protected] en_US
dc.identifier.issn p-ISSN 2339-0913 e-ISSN 2549-5747
dc.identifier.uri https://repo-dosen.ulm.ac.id//handle/123456789/36503
dc.description.abstract This study aims to estimate vegetation biomass and spatial distribution of carbon stocks in Special Purpose Forest Area (KHDTK) Mungku Baru, Palangka Raya City, Central Kalimantan Province, Indonesia. KHDTK Mungku Baru is a former logging area from the 1970s, which has undergone secondary succession and is dominated by pole and sapling levels. The approach used in this study involves remote sensing technology and field inventory data, which allows carbon stock calculations to be carried out quickly and accurately over a very large area. A linear regression algorithm was used to obtain a spatial model of carbon stocks using NDVI obtained from Landsat as a predictor. The developed model shows positive correlation results with an R2 value of 0.70; an Adjusted R2 value of 0.69 with a p-level < 0.05, and RMSE of 42 tons/ha. This carbon stock mapping results serve as a basis for formulating various management plans for KHDTK Mungku Baru regarding ecological, social, and economic aspects. en_US
dc.language.iso other en_US
dc.publisher Jurnal Sylva Lestari en_US
dc.relation.ispartofseries Jurnal Sylva Lestari Vol.13 (1):159-172, January 2025;
dc.subject Carbon stocks Normalized difference vegetation index Spatial model Special purpose forest area Vegetation biomass en_US
dc.title Korespodensi Spatial Model of Carbon Stocks in Special Purpose Forest Area (KHDTK) Mungku Baru, Central Kalimantan Province, Indonesia en_US
dc.type Other en_US


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