Applying multi-satellite observations for landslide morphological change analysis and stability assessment

Project Details

Description

In recent years, Synthetic Aperture Radar (SAR) has become a suitable tool for detecting disasters in cloudy and rainy weather. This study aims to evaluate the capability of applying radar imagery to monitor river morphological changes, for a long-term, continuous hillslope monitoring task. Elevation measurements before and after wet seasons were generated using InSAR (Interferometric Synthetic Aperture Radar) technique. However, measurement accuracy is an important issue when applied to monitoring morphological changes. Results obtained by our 2021 SWCB project show that the InSAR is suitable for monitoring significant morphological changes (>10 m). This study focuses on advancing the accuracy of elevation measurement by analyzing possible error sources using machine learning. The temporal InSAR elevations in the study area, the Laonung River, from 2015 to 2022 derived by the prospered method, achieve the RMSE of 0.89-1.54 m. Also, an accuracy of 3 m estimated by comparing the UAV-DSM in two river reaches suggests the applicability of the proposed method may be limited to monitoring river morphological changes due to significant erosion processes, such as landslides and floods. Overall, the proposed method is expected to serve as a part of a rapid response system of hazard monitoring when optical data is not available.
StatusFinished
Effective start/end date8/02/2331/12/23

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy
  • SDG 15 - Life on Land

Keywords

  • River morphological monitoring
  • synthetic aperture radar
  • Elevation measurement
  • InSAR

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