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|Title:||Using MODIS Time Series to Characterize the Annual Dynamics of Photosynthesis in Tropical Forests of Central Africa|
|Authors:||GOND Valerie; PENNEC A.; FAYOLLE A.; GOURLET-FLEURY S.; MAYAUX Philippe|
|Citation:||INTERNATIONAL FORESTRY REVIEW vol. 12 no. 5 p. 329|
|Publisher:||COMMONWEALTH FORESTRY ASSOC|
|Type:||Articles in Journals|
|Abstract:||In the framework of the CoForChange project, (predicing the effects of global change on forest biodiversity in the Congo Basin region) we propose a new method of satellite imagery analysis to characterise the spatial patterns of tropical forest in central Africa. We use a 10-year time series remotely sensed data from TERRA-MODIS sensor to identify the variations of forest photosynthetic activity intensty within a synthesis year. The processing was done using the 16-days enhanced vegetation index data and crossing this information with field inventories. We found a good match between the satellite imagery and the gradient of evergreen dominance.This detailes spatial and temporal information should provide a better basis to monitor carbon in this poorly known region.|
|JRC Institute:||Institute for Environment and Sustainability|
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