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Title Remote sensing based determination of the percentage tree cover for biodiversity assessments in West Africa

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Short title Mapping of vegetation structure in West Africa using remote sensing

Author(s) Schramm, M.(1); Machwitz, M.(1); Landmann, T.(1); Schmidt, M.(1,2); Conrad, C.(1); König, K.(3); Dech, S.(1,2)

Presenting author Schramm, M.

Institution(s) (1) Remote Sensing Unit, University of Wuerzburg, Germany; (2) German Aerospace Center, Oberpfaffenhofen, Germany; (3) Institute for Ecology, Evolution and Diversity, Frankfurt/Main, Germany

Keywords mapping tree density, Upscaling in remote sensing, vegetation structure, carbon stocks

Abstract Information on the percentage tree cover is fundamental many earth system models. The determination of tree to herbaceous coverage in the context of the climate change research requires high quality and rigorous information about the heterogeneity of woody vegetation. The woody component of vegetation plays a very important role in climate change studies as accumulator of carbon and in local scale biodiversity assessments. Particularly in West Africa, knowledge about the tree cover is important, because land cover change and deforestation is rates are extremely severe. This study presents a unique multi-scale approach for consistently mapping and quantifying the tree cover. The method presented entails merging two data sets that is variables, at different scales to render a highly accurate and improved continuous tree density gradient data set at 250 m resolution.

Congress Topic Observation System

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