Global and boreal estimates of woody aboveground biomass for 2020: Filling GEDI'S northern data gap with ICESat-2 and harmonized Landsat Sentinel-2

Duncanson, L., Montesano, P.M., Neuenschwander, A., Zarringhalam, A., Thomas, N., Minor, D.M., Wulder, M.A., White, J.C., Guenther, E., Feng, T., Leitold, V., Hancock, S., Armston, J., Puliti, S., Mandel, A.I., Shah, S., Silva, C., Purslow, M., Bruening, J., Breidenbach, J., et al. (2026). Global and boreal estimates of woody aboveground biomass for 2020: Filling GEDI'S northern data gap with ICESat-2 and harmonized Landsat Sentinel-2. Remote Sensing of Environment 340 e115406. 10.1016/j.rse.2026.115406.

Full text not available from this repository.

Abstract

Forest aboveground biomass Density (AGBD) maps provide important constraints on climate and carbon cycle models and enable the long-term monitoring of carbon stocks. NASA's latest spaceborne lidar instruments provide unprecedented observations of forest structure that are used to compile spatially continuous, locally trained maps of circa 2020 AGB density and stock. To address a geographical limitation of the International Space Station deployed GEDI instrument, herein we map high northern latitude forests with a fusion of NASA's ICESat-2 mission, Harmonized Landsat Sentinel-2 (HLS), and Copernicus GLO-30 topographic data. We report a domain-wide estimate for boreal forests of 72.96 +/− 0.61 Pg AGB. Combining these maps with those of tropical and temperate forests from GEDI products provides a global estimate of 2020 biomass stocks of 593.49 +/− 13.3 Pg AGB. We analyze biomass means and totals across the boreal domain in different land cover types, slope classes, and ecoregions. We compare these products to national estimates of AGB stocks for high latitude countries, finding good general agreement between national reports and EO-based estimates, particularly for countries with robust National Forest Inventories (NFIs) and boreal forests, while underestimation of high AGBD in tall, dense forests remains a challenge for AGBD mapping. Satellite products can be used to support wide area estimation of aboveground biomass, and the maps described here provide insights into carbon stocks, patterns, and dynamics at scales relevant to forest management. These open access data products serve as a baseline to assess future changes associated with drought, fire, insects, deforestation, and degradation.

Item Type:	Article
Uncontrolled Keywords:	Biomass, Forest, Lidar, GEDIICE, Sat-2, Wide area mapping
Research Programs:	Advancing Systems Analysis (ASA) Advancing Systems Analysis (ASA) > Novel Data Ecosystems for Sustainability (NODES) Biodiversity and Natural Resources (BNR) Biodiversity and Natural Resources (BNR) > Agriculture, Forestry, and Ecosystem Services (AFE)
Depositing User:	Luke Kirwan
Date Deposited:	14 Apr 2026 14:22
Last Modified:	14 Apr 2026 14:22
URI:	https://pure.iiasa.ac.at/21479

Actions (login required)

View Item