Distinguishing sliding area by decision analyzing with remote sensing image and lidar data combined

Chia-Hao Chang; Jee-Cheng Wu

doi:10.1117/12.2278240

5 October 2017 Distinguishing sliding area by decision analyzing with remote sensing image and lidar data combined

Chia-Hao Chang, Jee-Cheng Wu

Proceedings Volume 10428, Earth Resources and Environmental Remote Sensing/GIS Applications VIII; 104281B (2017) https://doi.org/10.1117/12.2278240
Event: SPIE Remote Sensing, 2017, Warsaw, Poland

Abstract

Every year people in Taiwan have been facing earthquake and typhoon nature disaster challenges which are seriously affecting the people's lives and property. During summer season typhoons bring abundant rainfall resulting in landslides and debris flows. Because the landslide attributes to several environmental factors, we could monitor and analyze endangered areas to prevent damages. In this study Taiwan Provincial Highway 14 branch at 34K~38K+500m is chosen, which has devastated by Earthquake 921 and Typhoon Mindulle. A decision analysis is conducted by utilizing combined ortho-photo and LiDAR Digital Elevation Model (DEM) data to classify landslide areas. The result showed that the performance of overall accuracy could be increased when terrain factors are considered.

Conference Presentation

Citation Download Citation

Chia-Hao Chang and Jee-Cheng Wu "Distinguishing sliding area by decision analyzing with remote sensing image and lidar data combined", Proc. SPIE 10428, Earth Resources and Environmental Remote Sensing/GIS Applications VIII, 104281B (5 October 2017); https://doi.org/10.1117/12.2278240

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