Researchers from the Chinese Academy of Sciences have proposed an efficient remote sensing method to monitor landslides.
Synthetic Aperture Radar (SAR) remote sensing is a potential long-term technique for the researchers to monitor landslide-prone areas, to optimize more efficient workflow and to refine algorithms based on homogeneous samples.
The researchers have used their proposed method and SAR data from the Gaofen-3 satellite and the Advanced Land Observing Satellite-2 (ALOS-2) to study the evolution of the landslide that happened in 2018 in Southwest China’s Tibet Autonomous region.
The proposed method showed higher accuracy and efficiency compared with the other traditional pixel offset tracking methods, noted in their recently published journal, Remote Sensing of Environment.
Researchers were able to demonstrate that the SAR remote sensing can contribute greatly to landslide monitoring, especially in places where ground live data are insufficient.
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