Synergistic use of MODIS and Landsat data for mapping global carbon fluxes at 30m
Abstract
Biological sequestration of CO2 into vegetation biomass is likely to play a key role under future Clean Development Mechanisms (CDMs) negotiated under the UNFCCC. However, accurate assessment of carbon credits to any land unit requires the ability to monitor large spatial and temporal differences in carbon sequestration potential defined by its land cover, primary production and disturbance history. Such a global carbon monitoring scheme requires high resolution satellite data like Landsat (30m) as current operational products from MODIS (1000m) are too coarse for decision making. We prototyped a methodology to estimate carbon fluxes at 30m globally by combining the temporally rich MODIS products with spatially extensive Landsat data for two epochs, 1990 and 2005. Our methodology uses atmospherically corrected Landsat surface reflectances to downscale MODIS-derived land cover dependent peak vegetation index/annual gross primary production (GPP) relations in different climates (boreal, temperate, tropical, etc.). The products incorporate GPP, simplified vegetation carbon cycling (NPP/GPP and NEP/GPP ratios), net primary production (NPP) and net ecosystem production (NEP) and changes in these fluxes between the two epochs due to disturbance, land use changes and other ecosystem processes. Results are presented for a selection of scenes over the southeast United States.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2008
- Bibcode:
- 2008AGUFMGC13A0682N
- Keywords:
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- 1615 Biogeochemical cycles;
- processes;
- and modeling (0412;
- 0414;
- 0793;
- 4805;
- 4912);
- 1630 Impacts of global change (1225);
- 1632 Land cover change;
- 1640 Remote sensing (1855);
- 1694 Instruments and techniques