Hi, I have several Landsat (4-7) images from 1990-2002 which will be used for change analysis of land cover. FAO's FRA-RSS [1] developed a standard methodology for integrating multi-temporal Landsat into a consistent sample tiles. The article [2] outlined the general method as: - Image subsetting - Radiometric normalization - Contrast enhancement - Multi-date image segmentation
Most of the processing procedures I was able to do in GRASS GIS, except for the last step. The process combined the multi-date imagery where an automated image segmentation was implemented to derive preliminary polygons to identify changes. I believe they used ecognition for the segmentation. I've used i.smap for preliminary segmentation on separate dates but not for a combined multi-date imagery. Anyone tried this with GRASS? Can i.pca do this or another tool? Any idea [1] http://www.fao.org/forestry/fra/remotesensingsurvey/en/ [2] http://www.informaworld.com/smpp/content~content=a923063789~db=all~jumptype=rss -- cheers, maning ------------------------------------------------------ "Freedom is still the most radical idea of all" -N.Branden wiki: http://esambale.wikispaces.com/ blog: http://epsg4253.wordpress.com/ ------------------------------------------------------ _______________________________________________ grass-user mailing list grass-user@lists.osgeo.org http://lists.osgeo.org/mailman/listinfo/grass-user