publication . Article . 2013

national scale estimation of gross forest aboveground carbon loss a case study of the democratic republic of the congo

A Tyukavina; S V Stehman; P V Potapov; S A Turubanova; A Baccini; S J Goetz; N T Laporte; R A Houghton; M C Hansen;
Open Access
  • Published: 21 Nov 2013 Journal: Environmental Research Letters, volume 8, page 44,039 (eissn: 1748-9326, Copyright policy)
  • Publisher: IOP Publishing
Abstract
Recent advances in remote sensing enable the mapping and monitoring of carbon stocks without relying on extensive in situ measurements. The Democratic Republic of the Congo (DRC) is among the countries where national forest inventories (NFI) are either non-existent or out of date. Here we demonstrate a method for estimating national-scale gross forest aboveground carbon (AGC) loss and associated uncertainties using remotely sensed-derived forest cover loss and biomass carbon density data. Lidar data were used as a surrogate for NFI plot measurements to estimate carbon stocks and AGC loss based on forest type and activity data derived using time-series multispect...
Subjects
free text keywords: Renewable Energy, Sustainability and the Environment, Public Health, Environmental and Occupational Health, General Environmental Science, Aboveground carbon, Carbon stock, Economics, National forest, Hydrology, Atmospheric sciences, Forestry, Lidar data, Forest cover, Biomass carbon, Scale estimation, Multispectral image
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