The Potential of Remote Sensing to Assess Conditioning Factors for Landslide Detection at a Regional Scale: The Case in Southeastern Colombia
This landslide detection research applied remote sensing techniques. Morphometry to derive both DEM terrain parameters and land use variables. SAR interferometry (InSAR) for showing that InSAR coherence and InSAR displacement obtained with SRTM DEM 30 m resolution were strongly related to landslides...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book Chapter |
| Language: | English |
| Published: |
IntechOpen
2020
|
| Subjects: | |
| Online Access: | https://www.intechopen.com/chapters/73907 |
| Tags: |
No Tags, Be the first to tag this record!
|
Similar Items: The Potential of Remote Sensing to Assess Conditioning Factors for Landslide Detection at a Regional Scale: The Case in Southeastern Colombia
- Impacts of Biomass Burning in the Atmosphere of the Southeastern Region of Brazil Using Remote Sensing Systems
- Landslide Detection and Monitoring Using Remote Sensing Techniques
- Remote Sensing Approaches and Related Techniques to Map and Study Landslides
- Landslide Detection and Segmentation Using Remote Sensing Images and Deep Neural Network
- MMLSv2: A Multimodal Dataset for Martian Landslide Detection in Remote Sensing Imagery
- Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection