Use Of Multispectral Satellite Images For Identification Of Road Slope Landslides

Abstract

Among the most widely used remote sensing techniques today, satellite images are distinguished by the possibilities they offer to obtain information from a wide coverage of the earth's surface by detecting the subtle changes that occur by comparing historical data from the same area. This makes it possible to monitor natural phenomena or transformations carried out by human activity. By multispectral satellite images, the study was carried out that gives rise to the analysis of the landslides on a section of the "La Farola" road. The images of the Sentinel 2 mission were downloaded from the Copernicus platform.  Using calculation tools of the global mapper software, the spectral indices associated with the conditioning factors for slope sliding on roads were obtained. The monitoring was carried out through a proposed procedure in which, from images taken on different dates, danger zones to the occurrence of slope landslides were identified, contrasting the true color image with the maps obtained by modeling the spectral indices. The data were processed to obtain classification values of vegetation and soil moisture from the parameterization ranges of each spectral index.