GIS Support for Woody Biomass Resource Planning in Agroforestry Practice in Kenya

Published on July 1, 2009 | Author: Douglas Odhiambo Apollo

Tagged with: Lake Basin region, Regression analysis, Remote sensing, Woody biomass

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There are concerns about the diminishing woody biomass resources in the Lake Basin Region in Kenya and this has prompted for fast, accurate and cost effective method for examining and mapping the biomass resources at regional levels. This research details a synergy of Geographical Information System, Remote Sensing, and Field data to identify and map woody biomass resources in this region. Medium and fine resolution satellite data are used in a regression analysis to select the best combination of Landsat ETM+ measurements to determine the percent forest cover as derived from the binary classification of ASTER data. The result is in turn regressed to field measurements to improve the accuracy, and to make up for attributional and spatial gaps.

Apollo, D.O. (2009). GIS Support for Woody Biomass Resource Planning in Agroforestry Practice in Kenya. Master’s Thesis. Department of Environmental & Geographical Sciences. Manchester Metropolitan University.

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