Abstract
Abstract. Early detection of landslides is important for disaster prevention, which was still very hard work with traditional surveying methods. Interferometric Synthetic Aperture Radar (InSAR) technology provided us the ability to monitor displacements along the slope with wide coverage and high accuracy. In this paper, we proposed a qualitatively multi-baseline DInSAR method to early detect and map the potential landslides. Two sections of China National Highway 317 and 213 were selected as study area. With this method 10 potential landslide areas were early detected and mapped in a quick and effective way. One of them (i.e. Shidaguan landslide) collapsed on August 2017, which was coincident with our results, suggesting that this method could become an effective way to acquire the landslide early detection map to assist the future disaster prevention work.
Highlights
With a large amount of earth and stones collapsed, landslide could cause significant damage, huge property losses and casualties
We proposed a qualitative multi-baseline DInSAR method (QM-DInSAR) for potential landslide early detection
Figure 3. landslide early detection map derived from QM DInSAR method
Summary
With a large amount of earth and stones collapsed, landslide could cause significant damage, huge property losses and casualties. Landslide early detection is vital for the disaster reduction and prevention, which could save the loss of life and property, and minimize the impact of landslide to some degree. Interferometric Synthetic Aperture Radar (InSAR) is a new geodetic method that could measure the surface motion based on SAR images at any weather condition with regular interval. It has been widely used in monitoring and mapping landslide with high accuracy and wide coverage (Dai et al, 2016; Herrera et al, 2013; Tomas et al, 2014)
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