Assessment of Regional Shallow Landslide Stability Based on Airborne Laser Scanning Data in the Yingxiu Area of Sichuan Province (China). Issue 1 (1st January 2016)

• Record Type: Journal Article
• Authors: Liu, Chun; Hu, Min; Lu, Ping; Li, Weiyue; Scaioni, Marco; Wu, Hangbin; Huang, Yu; Ye, Bin
• Is Part Of: European journal of remote sensing. Volume 49:Issue 1(2016)
• Page Start: 835
• Page End: 860
• Publication Date: 2016-01-01
• Subjects: Slope Stability -- Airborne Laser Scanning -- Stability Index Map (SINMAP) -- landslides; Remote sensing -- Periodicals; Remote sensing; Electronic journals; Periodicals; 621.3678
• DOI: 10.5721/EuJRS20164944
• Languages: English
• ISSNs: 2279-7254

Abstract

Abstract: This study focuses on analyzing the slope stabilities in a landslide-prone area of Yingxiu Town, Sichuan Province (China). Airborne Laser Scanning (ALS) data were acquired to derive a Digital Elevation Model (DEM) with sufficient accuracy and resolution, as an input for the regional landslide stability analysis. The one-dimensional hydrological model—Stability Index Map (SINMAP), functioning with topographic data, geological settings, and rainfall conditions, was used as a simplified model for slope stability mapping. In this study, the investigated region was classified into six stability levels, and data reliability was subsequently checked with reference to recent landslide inventories. Several experiments have shown that the quality of ALS data played a key-role in the slope stability inside the SINMAP model regarding the point cloud density and the random error. Higher point cloud density may construct higher precision of DEM, however, it may also produce more noises. Although with these uncertainties, using ALS data and its derived high precision DEM, the physically-based SINMAP model is expected to provide a solid basis for further landslide susceptibility mapping at regional scale.