Natural Slope Stability Analysis Using Remote Sensing Techniques

Abstract

Slope landslides are a phenomenon that affects the economy of a region, so in order to prevent them, a deep knowledge of them is required. With technological development, the appearance of multispectral satellite images has made it easier to identify areas at risk of landslides. This technique, together with programs such as MIDAS GTS NX and Global Mapper, allow the identification of possible landslides and the analysis of the stability of natural slopes. This study analyzes a landslide that occurred in Santiago de Cuba, in a terrain characterized by a Generalized Hoek Brown constitutive model, using remote sensing techniques, to then evaluate the level of instability that the landslide presented after the collapse and demonstrate the veracity of the use of these techniques. The results demonstrate the effectiveness of the use of remote sensing techniques to identify natural slopes at risk of collapse.