TOWARDS THE OPTIMAL PIXEL SIZE OF DEM FOR AUTOMATIC MAPPING OF LANDSLIDE AREAS

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3. Machine learning and landslide studies: recent advances and applications F. Tehrani et al. 10.1007/s11069-022-05423-7
4. Quantification of Microtopography in Natural Ecosystems Using Close-Range Remote Sensing T. Shukla et al. 10.3390/rs15092387
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