Global monitoring of deforestation emissions of carbon and downscaling to REDD project-level verification
Abstract
The emission of carbon dioxide from deforestation and other land cover changes is among the most uncertain components of the global carbon cycle. Inconsistent and unverified information about global deforestation patterns has significant implications for balancing the present-day carbon budget and predicting the future evolution of climate change. The CASA (Carnegie-Ames-Stanford) ecosystem model based on satellite greenness observations has been used to estimate monthly carbon fluxes in terrestrial ecosystems from 2000 to 2010. The CASA model was driven by NASA Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation cover properties and large-scale (1-km resolution) disturbance events detected in the monthly time series data. This modeling framework has been implemented to estimate historical as well as current monthly patterns in plant carbon fixation, living biomass increments, and long-term decay of woody (slash) pools before, during, and after land cover disturbance events. Sample applications of Landsat imagery as inputs to the CASA model are presented for demonstration of REDD project-level verification of carbon balance.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2011
- Bibcode:
- 2011AGUFM.B42B..03P
- Keywords:
-
- 0315 ATMOSPHERIC COMPOSITION AND STRUCTURE / Biosphere/atmosphere interactions;
- 0428 BIOGEOSCIENCES / Carbon cycling;
- 0480 BIOGEOSCIENCES / Remote sensing