OUR STORY
Landslides can happen without warning, and having the data to decide next steps after they occur is imperative. With the continued emergence of free-use data such as that from the Copernicus/ESA program, decision-making has become easier. This data, with its high temporal frequency, spatial accuracy and broad coverage, provides a solid base to work from. Multimodal approaches, such as combining information from optical and radar sensors like the Sentinel-1 and Sentinel-2 satellites, can lead to improved accuracy, detection and verification of landslide phenomena.
This paper aims to demonstrate that process by combining Sentinel-1 and Sentinel-2 data in rapid and automated processes. Then, several change detection algorithms in ERDAS IMAGINE remote sensing software will be used to analyse that data and easily create a visual representation of the activity surrounding the landslide.