The Role of Satellite InSAR for Landslide Forecasting: Limitations and Openings

The paper explores the potential of satellite advanced differential synthetic aperture radar interferometry (A-DInSAR) technique for identification impending slope failure. advantages and limitations InSAR in monitoring pre-failure landslide behaviour are addressed five different case histories back-analysed using data acquired by missions: Montescaglioso (2013, Italy), Scillato (2015, Bingham Canyon Mine UT, USA), Big Sur (2017, CA, USA) Xinmo China). This aimed at providing a contribution to improve knowledge within subject area forecasting data, particular exploring suitability spatial temporal prediction large landslides. study confirmed that can be successful early detection slopes prone collapse; its due phase aliasing low sampling frequency also underlined. According results, we propose novel predictability classification discerning levels InSAR. Finally, big step forward made applications since beginning first SAR systems (ERS Envisat) is shown, highlighting future perspectives encouraging thanks expected improvement upcoming missions could highly increase capability monitor landslides’ behaviour.