Climate Land Interaction Project (CLIP) - East Africa
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Land Cover Parameterization and Remote Sensing

Remote Sensing Parameterization of Land Cover. This work is focusing on the transformation of categorical land use information into quantitative land surface physical parameters. The parameters that will result from this analysis, and that will be inputs to the regional climate model, include surface albedo, fractional vegetative cover, leaf area index (both senescence and green) and above ground biomass. A nested scale analysis using current MODIS/ ASTER imagery with ETM+ imagery will better capture the land cover dynamics especially in semi-arid areas where vegetation signals are difficult to extract. The advantage of the nested scale approach is that the imagery data will provide improved parameters over large areas and the data are compatible to both field based observations and global circulation models. This method has been successfully applied elsewhere by a team member (J. Qi), and the data and information from East Africa will further validate this approach especially for semi-arid tropical areas. The method being applied here, of upscaling from land use/ cover to MODIS imagery, will provide informational benefits for global change scientists working in other areas of Africa and the tropics. The data and information on East Africa resulting from this activity will be extremely useful for scientists conducting global circulation modeling.



Leaf area index for March 2001.

Leaf area index (LAI) for March 2001 derived from MODIS


Leaf area index for June 2001.

Leaf area index (LAI) for June 2001