Identification of past, ongoing and incipient landslides from space

Recent advancements in remote sensing, especially in Synthetic Aperture Radar differential interferometry, have substantially improved our ability to detect slope instabilities with greater accuracy and detail. Careful combination of current techniques can identify previously unknown instabilities, whilst providing insights into driving processes. This includes using large-scale InSAR processing to assess sites for large engineering projects, like studying the interaction between a hydropower dam and a deep-seated landslide. However, existing challenges related to time series generation can lead to misinterpretation. A case study of the Achoma landslide, Peru, is used to highlight the importance to integrate various parameters of the interferometric data to improve early detection of gravitational morphological features.