The potential of PALSAR RTC elevation data for landform semi-automatic detection and landslide susceptibility modeling
This study demonstrated the potential of methods derived from geomorphometry and regression models to evaluate landslide susceptibility in a study area located in southern Colombia. From a morphometric stance, the first step was to evaluate the quality of DEM sources by comparison to control points...
Main Authors: | N. A. Correa-Muñoz, C. A. Murillo-Feo, L. J. Martínez-Martínez |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2019-03-01
|
Series: | European Journal of Remote Sensing |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/22797254.2018.1552087 |
Similar Items
-
Landslide inventory validation and susceptibility mapping in the Gerecse Hills, Hungary
by: Dávid Gerzsenyi, et al.
Published: (2021-07-01) -
STUDY OF THE LANDFORMS OF THE IBICUÍ RIVER BASIN WITH USE OF TOPOGRAPHIC POSITION INDEX
by: Romario Trentin, et al.
Published: (2018-04-01) -
Mapping Landform and Landslide Susceptibility using Remote Sensing, GIS and Field Observation in the Southern Cross Road, Malang Regency, East Java, Indonesia
by: Syamsul Bachri, et al.
Published: (2021-12-01) -
Hubungan Geomorfometri Dengan Bentuk Lahan Dan Penggunaan Lahan Sub-Sub Das Riam Kanan Kabupaten Banjar Kalimantan Selatan
by: zainal abidin, et al.
Published: (2019-08-01) -
Impact of Spatial Resolution of Digital Elevation Model on Landslide Susceptibility Mapping: A Case Study in Kullu Valley, Himalayas
by: Sansar Raj Meena, et al.
Published: (2019-08-01)