Articles | Volume 18, issue 1
Research article
30 Jan 2018
Research article |  | 30 Jan 2018

Criteria for the optimal selection of remote sensing optical images to map event landslides

Federica Fiorucci, Daniele Giordan, Michele Santangelo, Furio Dutto, Mauro Rossi, and Fausto Guzzetti

Data sets

Assignano Landsldie Maps and Data, Open Science Framework F. Fiorucci, M. Santangelo, D. Giordan, and M. Rossi

Short summary
This paper describes the criteria for the optimal selection of remote sensing images to map event landslides, discussing the ability of monoscopic and stereoscopic VHR satellite images and ultra-high-resolution UAV images to resolve the landslide photographical and morphological signatures. The findings can be useful to decide on the optimal imagery and technique to be used when planning the production of a landslide inventory map.
Final-revised paper