摘要：Recognition and classification of road-related landslides are a critical requirement in pre- and post-disaster hazard analysis. They are primarily done through field mapping or manual image interpretation from commercial satellites images. This paper developed a Normalized Difference Road Landside Index (NDRLI)-based method to delineate road-induced landslides and enhance their presence in remotely sensed digital imagery based on free Landsat Operational Land Imager (OLI) sources. The NDRLI-based method includes NDRLI, Shape Index of Spectral Curve (SISC), and other optimizing steps such as deleting shadow and slope <20° area to recognise landslides. The test results show that the NDRLI-based method is effective in extracting road-induced landslide information, although the Kappa coefficient should be further improved.
