Articles | Volume 22, issue 9
https://doi.org/10.5194/nhess-22-2929-2022
https://doi.org/10.5194/nhess-22-2929-2022
Research article
 | 
06 Sep 2022
Research article |  | 06 Sep 2022

Terrain visibility impact on the preparation of landslide inventories: a practical example in Darjeeling district (India)

Txomin Bornaetxea, Ivan Marchesini, Sumit Kumar, Rabisankar Karmakar, and Alessandro Mondini

Data sets

Modelo Digital del Terreno (MDT) remuestreado de 5 m de la Comunidad Autónoma del País Vasco, Año 2016 Govierno Vasco https://www.geo.euskadi.eus/modelo-digital-del-terreno-mdt-remuestreado-de-5m-de-la-comunidad-autonoma-del-pais-vasco-ano-2016/webgeo00-dataset/es/

Model code and software

r.survey.py Ivan Marchesini and Txomin Bornaetxea https://doi.org/10.5281/zenodo.3993140

Download
Short summary
One cannot know if there is a landslide or not in an area that one has not observed. This is an obvious statement, but when landslide inventories are obtained by field observation, this fact is seldom taken into account. Since fieldwork campaigns are often done following the roads, we present a methodology to estimate the visibility of the terrain from the roads, and we demonstrate that fieldwork-based inventories are underestimating landslide density in less visible areas.
Altmetrics
Final-revised paper
Preprint