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Use of the Normalized Difference Road Landside Index (NDRLI)-based method for the quick delineation of road-induced landslides

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 I...

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Detalles Bibliográficos
Autores principales: Zhao, Yinjun, Huang, Yuying, Liu, Hanhu, Wei, Yongping, Lin, Qing, Lu, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292880/
https://www.ncbi.nlm.nih.gov/pubmed/30546067
http://dx.doi.org/10.1038/s41598-018-36202-9
Descripción
Sumario: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.