7th Workshop on Forest Fire Management - EARSeL, European ...

Classification of site and stand characteristics based on remote sensing data 59
eral information got lost when approaching them by zonal statistic. This
Lost was due to the overlay from buffers and the large variance of possible
combinations of forest topographic parameters in one buffer.
To solve this problem we decided for a map algebra approach. Here every
parameter is reclassified in a single raster layer.
All raster layers were projected and have the same LANDSAT extent and resolution.
To collect information of all rasters in one raster every raster got an
index number and every class within each raster got a value within the range
of this index number. The resulting layers were than added via map algebra.
So a raster layer was created were every single pixel contains an index number
and information from 5 layers collected in one raster image. This process
was repeated twice to collect all parameters in two raster layers.
Example: