Pregled bibliografske jedinice broj: 1123691
Regional-Scale Landslide Susceptibility Mapping Using Limited LiDAR-Based Landslide Inventories for Sisak-Moslavina County, Croatia
Regional-Scale Landslide Susceptibility Mapping Using Limited LiDAR-Based Landslide Inventories for Sisak-Moslavina County, Croatia // Sustainability, 13 (2021), 4543, 20 doi:10.3390/su13084543 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1123691 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Regional-Scale Landslide Susceptibility
Mapping Using Limited LiDAR-Based
Landslide Inventories for Sisak-Moslavina
County, Croatia
Autori
Bostjančić, Iris ; Filipović, Marina ; Gulam, Vlatko ; Pollak, Davor
Izvornik
Sustainability (2071-1050) 13
(2021);
4543, 20
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
landslide susceptibility ; regional‐scale ; LiDAR ; frequency ratio ; AHP ; Croatia
Sažetak
In this paper, for the first time, a regional- scale 1:100, 000 landslide susceptibility map (LSM) is presented for Sisak-Moslavina County in Croatia. The spatial relationship between landslide occurrence and landslide predictive factors (engineering geological units, relief, roughness, and distance to streams) is assessed using the integration of a statistically based frequency ratio (FR) into the analytical hierarchy process (AHP). Due to the lack of landslide inventory for the county, LiDAR-based inventories are completed for an area of 132 km2. From 1238 landslides, 549 are chosen to calculate the LSM and 689 for its verification. Additionally, landslides digitized from available geological maps and reported via the web portal “Report a landslide” are used for verification. The county is classified into four susceptibility classes, covering 36% with very-high and high and 64% with moderate and low susceptibility zones. The presented approach, using limited LiDAR data and the extrapolation of the correlation results to the entire county, is encouraging for primary regional-level studies, justifying the cost- benefit ratio. Still, the positioning of LiDAR polygons pre-requires a basic statistical analysis of predictive factors.
Izvorni jezik
Engleski
Znanstvena područja
Geologija, Rudarstvo, nafta i geološko inženjerstvo
POVEZANOST RADA
Projekti:
MZOS-181-1811096-1795 - Osnovna inženjerskogeološka karta Republike Hrvatske (Buljan, Renato, MZOS ) ( CroRIS)
Ustanove:
Hrvatski geološki institut
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- Social Science Citation Index (SSCI)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus