Predicting the occurrence of a landslide event, both where and when it will occur, remains a challenge. However, using remote sensing techniques, satellite data and numerical simulation, broad predictions about the day and path of landslides can be estimated, which can assist with disaster management and subsequent recovery.
The National Remote Sensing Centre (NRSC) is one of the primary centers of Indian Space Research Organisation (ISRO), Department of Space (DOS). The NRSC has ground stations that receive satellite data, generate data products, disseminate information to users and develop techniques for remote sensing applications. This world-renowned center is primarily focused on disaster management support and geospatial services.
Priyom Roy and his colleagues from the NRSC have been researching landslide behavior and the ability to predict landslide time and path from satellite data. In their recent article, “Time and Path Prediction of Landslides Using InSAR and Flow Model ,” published in Remote Sensing of Environment, January 17, 2022, they present a novel method for predicting landslides using ENVI® SARscape and Sentinel-1 data over two landslide regions in India (Figure 1).
ENVI SARscape works with all commercially available SAR data, as well as many noncommercial SAR datasets, and has automated tools to help quickly and easily prepare, view and analyze SAR data. SAR data not only provides amplitude, or the intensity of the backscatter response, but also phase, which allows for measurement of height and displacement – a unique benefit of SAR.
ENVI SARscape integrates point and area-based analysis techniques to measure displacement and deformation over time. This approach makes it possible to analyze deformation that affects both extended and localized structures related to natural or other phenomena, such as landslides.