Title : 
A Multi-Scale Approch for Retreiving Proportional Cover of Life Forms
         
        
            Author : 
Gessner, Ursula ; Conrad, Christopher ; Huttich, Christian ; Keil, Manfred ; Schmidt, Michael ; Schramm, Matthias ; Dech, Stefan
         
        
            Author_Institution : 
Remote Sensing Unit of DLR, Univ. of Wuerzburg, Wurzburg
         
        
        
        
        
            Abstract : 
This study presents a multi-scale procedure to derive continuous proportional cover of woody vegetation in savanna ecosystems. QuickBird data was classified to define a continuous training and validation data set of woody cover proportions. Using a regression tree algorithm based on Landsat TM data, this woody cover information was extrapolated to an area of approximately 185 km times 185 km. The resulting 30 m map of the Namibian North-eastern Kalahari Woodland was aggregated to 250 m and 500 m resolutions. Comparisons of the global MODIS VCF product with the regionally adjusted multi-scale fractional cover map indicate that VCF tree cover is generally underestimated in the study area and confusions between tree and dense shrub cover occur.
         
        
            Keywords : 
image classification; vegetation mapping; Kalahari Woodland; Landsat TM data; QuickBird data classification; Vegetation Continuous Fields; global MODIS comparison; life forms distribution; northeastern Namibia; regression tree algorithm; savanna ecosystems; shrub cover; woody vegetation proportional cover; Ecosystems; Fires; Humans; Land surface; Regression tree analysis; Remote sensing; Sampling methods; Satellites; Soil; Vegetation mapping; VCF; fractional cover; multi-scale analysis; regression tree; savanna;
         
        
        
        
            Conference_Titel : 
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
         
        
            Conference_Location : 
Boston, MA
         
        
            Print_ISBN : 
978-1-4244-2807-6
         
        
            Electronic_ISBN : 
978-1-4244-2808-3
         
        
        
            DOI : 
10.1109/IGARSS.2008.4779444