Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi

Landslide Detection and Spatial Prediction: Application of Data and Information from Landslide Maps (CROSBI ID 75043)

Prilog u knjizi | izvorni znanstveni rad | međunarodna recenzija

Mihalić Arbanas, Snježana ; Bernat Gazibara, Sanja ; Krkač, Martin ; Sinčić, Marko ; Lukačić, Hrvoje ; Jagodnik, Petra ; Arbanas, Željko Landslide Detection and Spatial Prediction: Application of Data and Information from Landslide Maps // Progress in Landslide Research and Technology, Volume 1 Issue 2, 2022 / Alcantara-Ayala, Irasema ; Arbanas, Željko ; Huntley, David et al. (ur.). Fullerton, CA, USA: Springer, 2023. str. 195-212 doi: 10.1007/978-3-031-18471-0_16

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

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

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

Poveznice