The Use of High-Resolution Remote Sensing Data in Preparation of Input Data for Large-Scale Landslide Hazard Assessments

The Use of High-Resolution Remote Sensing Data in Preparation of Input Data for Large-Scale Landslide Hazard Assessments

The objective of the study is to show that landslide conditioning factors derived from different source data give significantly different relative influences on the weight factors derived with statistical models for landslide susceptibility modelling and risk analysis. The analysis of the input data...

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Bibliographic Details
Main Authors: Marko Sinčić, Sanja Bernat Gazibara, Martin Krkač, Hrvoje Lukačić, Snježana Mihalić Arbanas
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Land
Subjects:
landslide
large-scale landslide hazard assessment
LiDAR
high-resolution orthophoto
landslide inventory
landslide conditioning factors
Online Access:https://www.mdpi.com/2073-445X/11/8/1360

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