I am comparing the three different DEMs (extracted from X band SAR Data, ASTER GDEM2 and Cartosat DEM) with reference data (Aerial photogrammetric DEM), it is found that all DEMs gave their best accuracies in shrubs and forest classes.
What may be the region of this? Is it because I have used DEM as reference data instead of DTM_
SRTM-X/C are less noisy over forested areas than over other areas, for example urban areas, because forest canopy is more homogeneous and 'flat' for InSAR or stereo image matching procedures than greatly diversified urban environments.
I understood you use digital surface model from aerial images (for example from image-based matching) such data are in much higher resolution - they also provide many details in areas that are not covered by forests. Satellite data (interferometry and stereoscopic imagery) represent much worse resolution so area of forest complex can be represented better in comparison to aerial data.
SRTM-X/C are less noisy over forested areas than over other areas, for example urban areas, because forest canopy is more homogeneous and 'flat' for InSAR or stereo image matching procedures than greatly diversified urban environments.
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