Title: Mapping Congo Basin vegetation types from 300 m and 1 km multi-sensor time series for carbon stocks and forest areas estimation
Citation: BIOGEOSCIENCES vol. 9 p. 5061-5079
Publication Year: 2012
JRC N°: JRC71248
ISSN: 1726-4170
URI: www.biogeosciences.net/9/5061/2012/
DOI: 10.5194/bg-9-5061-2012
Type: Articles in periodicals and books
Abstract: This study aims to contribute to the improvement of knowledge over the Congo Basin Forests by delivering a detailed forest type map with an improved spatial discrimination and which is spatially coherent for the whole Congo Basin region. Based on this new map, a specific objective is to produce improved estimates of the forest types areas in Congo Basin countries in order to compare the consequence of different scenarios of forest definitions in the framework of the REDD initiative on these forest areas and in order to evaluate the Carbon stock of the Basin. The semi-automatic processing methodology developed to deliver the forest types map is combining 19 months of ENVISAT MERIS Full resolution products (FRS) observation and 8 years of SPOT VGT time series data. The research will take advantage of the fine spatial resolution of MERIS and of the temporal consistency of 8 years of daily VGT observations to achieve a better discrimination in very cloudy areas. The spatial patterns of the different vegetation types should be better delineated in support to biodiversity habitat characterization and deforestation monitoring. Furthermore, the phenology of the different vegetation types will be quantified systematically to support dynamic vegetation modeling.
JRC Directorate:Sustainable Resources

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