Landslide Detection and Spatial Prediction: Application of Data and Information from Landslide Maps (CROSBI ID 75043)
Prilog u knjizi | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Mihalić Arbanas, Snježana ; Bernat Gazibara, Sanja ; Krkač, Martin ; Sinčić, Marko ; Lukačić, Hrvoje ; Jagodnik, Petra ; Arbanas, Željko
engleski
Landslide Detection and Spatial Prediction: Application of Data and Information from Landslide Maps
The need for landslide maps of wider areas has increased with the understanding that proper planning will considerably decrease the construction and maintenance cost of structures. The main objective of the paper is to present types of data and information on landslides that can be derived from landslide inventory and landslide susceptibility maps and their use for spatial and urban planning. Recent examples of landslide zonation maps from Croatia are given to show the possibility of the derivation of data about landslides by using LIDAR (Light Detection and Ranging) DTM (Digital Terrain Model) for the compilation of historical landslide inventory. The application of data about landslide phenomena is compared with the application of information from landslide susceptibility zonation maps. It is concluded that a multi-level and hierarchical approach is necessary to reach the cost- effectiveness of nationwide production of landside maps for land-use planning.
Landslide detection ; Landslide maps ; Landslide susceptibility zonation ; Land use planning
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Podaci o prilogu
195-212.
objavljeno
10.1007/978-3-031-18471-0_16
Podaci o knjizi
Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022
Alcantara-Ayala, Irasema ; Arbanas, Željko ; Huntley, David ; Konagai, Kazuo ; Mikoš, Matjaž ; Sassa, Kyoji ; Sassa, Shinji ; Tang, Huiming ; Tiwari, Binod
Fullerton, CA, USA: Springer
2023.
978-3-031-18470-3
2731-3794
2731-3808
Povezanost rada
Geologija, Rudarstvo, nafta i geološko inženjerstvo