Optimization of landslide conditioning factors using very high-resolution airborne laser scanning (LiDAR) data at catchment scale
Landslide susceptibility, hazards, and risks have been extensively explored and analyzed in the past decades. However, choosing relevant conditioning factors in such analyses remains a challenging task. Landslide susceptibility mapping employs topological, environmental, geological, and hydrological...
à®®à¯à®´à¯ விளகà¯à®•à®®à¯
Saved in:
| தலைமை எழà¯à®¤à¯à®¤à®¾à®³à®°à¯à®•à®³à¯: | , , |
|---|---|
| வடிவமà¯: | கடà¯à®Ÿà¯à®°à¯ˆ |
| வெளியீடபà¯à®ªà®Ÿà¯à®Ÿà®¤à¯: |
Elsevier
2014
|
| நிகழà¯à®¨à®¿à®²à¯ˆ அணà¯à®•à®²à¯: | http://psasir.upm.edu.my/34772/ http://psasir.upm.edu.my/34772/ http://psasir.upm.edu.my/34772/ |
| கà¯à®±à®¿à®¯à¯€à®Ÿà¯à®•à®³à¯: |
கà¯à®±à®¿à®šà¯à®šà¯Šà®²à¯ இணை
கà¯à®±à®¿à®¯à¯€à®Ÿà¯à®•à®³à¯ இலà¯à®²à¯ˆ, இநà¯à®¤ கà¯à®±à®¿à®šà¯à®šà¯Šà®²à¯à®²à¯ˆ à®®à¯à®¤à®²à®¿à®²à¯ பதிவ௠செயà¯à®¯à¯à®™à¯à®•à®³à¯!
|