Landslides Hazard Mapping Using Remote Sensing Data in Ponorogo Regency, East Java

Landslides Hazard Mapping Using Remote Sensing Data in Ponorogo Regency, East Java

Mohamad Khoiri;  Lalu Muhamad Jaelani; Amien Widodo

Department of Civil Infrastructure Engineering, Institut Teknologi Sepuluh Nopember
Jl. Raya Menur No. 127, Manyar Sabrangan, Mulyorejo, Surabaya, 60116, INDONESIA
Department of Geomatics Engineering, Institut Teknologi Sepuluh Nopember
Kampus ITS, Keputih, Sukolilo, Surabaya, 60111 INDONESIA
Department of Geophysics Engineering, Institut Teknologi Sepuluh Nopember
Kampus ITS, Keputih, Sukolilo, Surabaya, 60111 INDONESIA

Abstract: East Java, Indonesia is the region with the third most abundant disaster event in Indonesia, with an incidence event of 287 in 2016 which increased to 20% from the incidence in 2015 (287 occurrences). Almost 98% of the disaster in this region was a hydro-meteorological disaster such as a landslide near mountain-slope. To mitigate the losses due to the landslide disaster, it is necessary to map the hazard zone through hazard assessment which includes topographic and geological mapping, soil vulnerability, and rainfall monitoring. This study is the early part of the development of landslide risk reduction methodologies in East Java. Hazard studies were conducted using medium resolution satellite data / Sentinel 2A (for land cover analysis), highresolution Radar data / TerraSAR data (for slope mapping) and geological data (for soil and stone types) as well as precipitation data over area of study. By updating a weighting factor for each parameter based on landslide event over the area of study, the more accurate map could be created using available data. Thus, this landslide-hazard map becomes a part of spatial planning recommendation that should be implemented by the local government.

Keywords: Risk Assessment, landslide, East Java

Full paper: https://ssms.jp/wp-content/uploads/PDF/vol11-issue2/sms17_5131.pdf

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.