Assessment of Landslide Risk Using GIS Analysis and UAV-Derived Data

EasyChair Preprint no. 11078

Abstract

This paper presents a methodology developed within the cross-border project GeoSES for assessing landslide risk in the municipality of Sighetu Marmației. The method employs GIS software to generate landslide risk maps. Two methods were devised: one involves a statistical model highlighting landslide risk, using input data from samples and a set of relevant variables. The second method utilizes GIS analysis and data obtained from UAV flights to monitor ground deformations. These integrated approaches provide a detailed and up-to-date image of landslide risk, facilitating decision-making and efficient land management.

Keyphrases: GIS, GNSS, Landslide, spatial analyses, UAV

@Booklet{EasyChair:11078,
  author = {Petru Daniel Maran and Adrian Traian Radulescu and Norbert Kiss},
  title = {Assessment of Landslide Risk Using GIS Analysis and UAV-Derived Data},
  howpublished = {EasyChair Preprint no. 11078},

  year = {EasyChair, 2023}}