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Synspective develops a “Slope Instability Detection Feature” for predictive changes + pre-disaster ground deformation with SAR data analysis

August 25, 2022

Synspective develops and operates Synthetic Aperture Radar (SAR) satellites and provides solutions based on satellite data analysis.

The company developed a ground deformation analysis device and method with a slope instability detection feature that identifies predictive changes of landslides and other disasters. The firm also filed a patent application (PCT/JP2022/026506) for their new invention.

Synspective has been offering their Land Displacement (LDM) solution service that employs SAR satellite data features to analyze wide-area ground deformation and provide actionable insights and results. This service can monitor ground changes in millimeter accuracy and display them in time-series order. In April of 2021, the firm released a subsidence extraction feature that identifies potential land deformation and sinkhole occurrence (pending patent application: PCT/JP2021/003312) with the LDM service.

Natural disasters, such as heavy rains, floods, and earthquakes, have a significant impact on the environment and threaten people’s safety all over the world. Synspective believes it is important to monitor ground changes as well as to detect early disaster warning signs and issue alerts accordingly. With a new feature that can predict potential areas of ground subsidence, the company has developed an analysis device and method to detect precursors of ground disasters such as landslides and slope failures.

Select this direct link to read “ Use cases of InSAR analysis for landslide disasters.”

Analysis Result Images: 1 — Distribution of unstable fluctuation points in local areas (Source:Esri,Earthstar Geographics, ©Copernicus Sentinel data [2021], ©Synspective In)
2 — Risk level display based on distribution of hotspot areas where ground deformation and changes are evident (Source:Esri,Earthstar Geographics METI/NASA, ©Copernicus Sentinel data [2021], ©Synspective Inc)

With this technology, ground deformation situations can be understood, including when and where a change that could be a precursor to a disaster is occurring as well as to detect early disaster risk warning signs. For example, it is possible to detect precursory phenomena before a ground disaster occurs.

Additionally, the company can grasp a ground deformation situation and issue a warning by detecting precursory points in the saliency-based index within the time-series data.

Synspective develops and operates satellites and also develops new solution services and analysis technologies. In recent years, natural disasters have been occurring more frequently and have left enormous damage and destruction in their wake. Synspective hopes that new technologies with satellite data will make substantial progress toward realizing a safe and sustainable society.

Filed Under: Data Processing & AI/ML, Earth Observation & Imaging Tagged With: Featured

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