Current land use and cover(LUC)mapping is often made using high resolution images such as those from the Landsat TM/ETM+,SPOT,IKONOS,QuickBird sensors ***,the historical LUC information was often extracted from the ea...
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Current land use and cover(LUC)mapping is often made using high resolution images such as those from the Landsat TM/ETM+,SPOT,IKONOS,QuickBird sensors ***,the historical LUC information was often extracted from the earlier Landsat MSS *** land cover classification accuracy is often unsatisfactory for quantitative change analysis due to the limited number of spectral bands and the low spectral *** this study,digital elevation model(DEM)data and the normalized difference vegetation index(NDVI)were integrated with MSS *** also,a supervised spectral angle mapper(SAM)classification method was applied to improve the LUC classifications from the MSS *** results showed that the MSS images classification accuracy could be improve to achieve a better LUC map with this method with overall accuracy and Kappa statistics of 81.4%and 0.781 respectively.
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