DAAC Home > Resources > News > Aboveground Biomass in Kalimantan, Indonesia

News

Aboveground Biomass in Kalimantan, Indonesia

Submitted by ORNL DAAC Staff on 2019-02-19
Image Media
Aboveground biomass and land cover
Image Media
Caption

Aboveground biomass (AGB) density maps of Kalimantan forests. (A) AGB density, and (B) mean density AGB aggregated by land cover class. From Ferraz et al., 2018.

Aboveground Biomass, Landcover, and Degradation, Kalimantan Forests, Indonesia, 2014

This new dataset provides estimates of aboveground biomass, percent canopy cover, mean canopy height, landcover, and forest degradation index products for forests in Kalimantan, Indonesia (Island of Borneo), representative of conditions in late 2014. Data were combined from several sources, including field sampling, airborne lidar, satellite measurements, a forest-type land cover map, and integrated into a random forest algorithm to produce these estimates. The goal of the study was to develop a wall-to-wall map of aboveground biomass (AGB) density for the forests in the Kalimantan region of Indonesia.

The NASA Carbon Monitoring System (CMS) uses the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities that are related to carbon stocks and fluxes. See all ORNL DAAC datasets from the Carbon Monitoring System.

Related Paper: Ferraz, et al. 2018. Carbon Storage Potential in Degraded Forests of Kalimantan, Indonesia. Environ. Res. Lett. 13, 095001. https://doi.org/10.1088/1748-9326/aad782

Data Citation: Ferraz, A., S.S. Saatchi, L. Xu, S. Hagen, J. Chave, Y. Yu, V. Meyer, M. Garcia, C. Silva, O. Roswintiarti, A. Samboko, P. Sist, S.M. Walker, T. Pearson, A. Wijaya, F.B. Sullivan, E. Rutishauser, D. Hoekman, and S. Ganguly. 2019. Aboveground Biomass, Landcover, and Degradation, Kalimantan Forests, Indonesia, 2014. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1645
Data Center: ORNL DAAC
Sponsor: EOSDIS