Vegetation Stands Biomass and Carbon Stock Estimation using NDVI - Landsat 8 Imagery in Mixed Garden of Rancakalong, Sumedang, Indonesia

Abstract Human activities in modifying land use and cover increasingly put pressure to many regulatory ecosystem services, one of which is carbon sequestration. If forests, the area with most vegetation are decrease, amount sequestered will decrease significantly. Currently, agroforestry systems or Talun (in West Java) Sumedang was eleven times larger than secondary forest. Carbon stocks this agricultural need be estimated so that their sequestration capacity can known order improve quality services. NDVI value Landsat 8 OLI obtained by conducting raster calculation ArcMap. Field inventory conducted measuring stem DBH height all stands 31 plots 30 x m, a similar plot size resolution imagery. Biomass calculated using allometric equations then converted into content biomass. In analyze correlation data, Pearson product-moment analysis form simple linear regression, non-linear exponential, polynomial 2 3 model were carried out. Standard error estimate (SEE) performed identify best equation aboveground area. The results show four regression models give positive between stocks. strongest category 0.795 coefficient determination. Yet, highest accuracy 0.445 tons/pixel. stock 16150.40 tons an average 104.95 tons/ha. Visually, according distribution map, mixed garden Rancakalong mainly distributed north District located Cibungur Village.