Exploring the Impact of Multitemporal DEM Data on the Susceptibility Mapping of Landslides
Digital elevation models (DEMs) are fundamental data models used for susceptibility assessment of landslides. Due to landscape change and reshaping processes, a DEM can show obvious temporal variation and has a significant influence on assessment results. To explore the impact of DEM temporal variat...
Main Authors: | Jiaying Li, Weidong Wang, Zheng Han, Yange Li, Guangqi Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-04-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/10/7/2518 |
Similar Items
-
The performance of landslide susceptibility models critically depends on the quality of digital elevation models
by: Jonas Brock, et al.
Published: (2020-01-01) -
High-Resolution Lidar-Derived DEM for Landslide Susceptibility Assessment Using AHP and Fuzzy Logic in Serdang, Malaysia
by: Jude Okoli, et al.
Published: (2023-01-01) -
Spatiotemporal Landslide Susceptibility Mapping Incorporating the Effects of Heavy Rainfall: A Case Study of the Heavy Rainfall in August 2021 in Kitakyushu, Fukuoka, Japan
by: Jiaying Li, et al.
Published: (2021-11-01) -
Influences of the Shadow Inventory on a Landslide Susceptibility Model
by: Cheng-Chien Liu, et al.
Published: (2018-09-01) -
Landslide Susceptibility Mapping by Comparing GIS-Based Bivariate Methods: A Focus on the Geomorphological Implication of the Statistical Results
by: Laura Coco, et al.
Published: (2021-10-01)