Preliminary Detection Model of Rapid Mapping Technique for Landslide Susceptibility Zone Using Multi Sensor Imagery (Case Study in Banjarnegara Regency)

3rd International Symposium on LAPAN-IPB Satellite For Food Security and Environmental Monitoring 2016

地球科学;轻工业;生态环境科学

Yanuarsyah, I.^1 ; Khairiah, R.N.^2

Geoinformatic of Informatics Engineering Department, Faculty of Engineering, Ibn Khaldun University, Jalan KH Soleh Iskandar KM 2, Tanah Sereal, West Jawa, Bogor, Indonesia^1

Tropical Biodiversity Conservation, Faculty of Forestry, Bogor Agricultural University (IPB), Bogor, Indonesia^2

关键词: Detection models;    Disaster mitigation;    Forest cover change;    Landslide susceptibility;    Multi sensor images;    Multi-sensor imagery;    Optical image processing;    SAR image processing;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/54/1/012106/pdf
DOI  :  10.1088/1755-1315/54/1/012106

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

This study as a preliminary stage as part of disaster mitigation landslide in Banjarnegara Regency, by utilizing a combination of multi-sensor image to overview the pattern forest cover changes with supported by other parameters such as rainfall, slope, aspect, curvature patterns hill (curvature). The objective is how to develop detection model in rapid mapping technique for detection landslide susceptibility zone. This information is used as basis an early detection for estimating landslide potentially happen in the future. There are four main processes which are optical image processing, SAR image processing, DEM processing and Scoring Geoprocessing. The final zone might be verified by particular landslide event location whether it exist on the result map. It obtain "big five" district with higher prone landslide susceptibility zone such as Batur district, Pejawaran district, Wanayasa district, Kalibening district and Rakit district. Total susceptibility zone in Banjarnegara regency approximately 604.79 Ha with 15,250 prone point location. Thus, it classified as 14.16 Ha of low zone, 286.41 Ha of moderate zone and 304.22 Ha of high zone. This study demonstrates as rapid mapping the enormous potential landslide occurrences investigated by susceptibility zone. In term of landslide prone point, the combination optical image and SAR image quite enough to perform post forest cover changes and it also can overlay with another causative parameter.