Title: Using MODIS Time Series to Characterize the Annual Dynamics of Photosynthesis in Tropical Forests of Central Africa
Authors: GOND ValeriePENNEC A.FAYOLLE A.GOURLET-FLEURY S.MAYAUX Philippe
Citation: INTERNATIONAL FORESTRY REVIEW vol. 12 no. 5 p. 329
Publisher: COMMONWEALTH FORESTRY ASSOC
Publication Year: 2010
JRC N°: JRC61084
ISSN: 1465-5489
URI: http://www.cfa-international.org/IUFRO%20abstracts%202010.pdf
http://publications.jrc.ec.europa.eu/repository/handle/JRC61084
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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