SAR data and field surveys combination to update rainfall-induced shallow landslide inventory

Miele, Pietro; Di Napoli, Mariano; Novellino, Alessandro; Calcaterra, Domenico; Mallorqui, Jordi J.; Di Martire, Diego. 2022 SAR data and field surveys combination to update rainfall-induced shallow landslide inventory. Remote Sensing Applications: Society and Environment, 26, 100755. https://doi.org/10.1016/j.rsase.2022.100755

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Official URL: http://dx.doi.org/10.1016/j.rsase.2022.100755

Abstract/Summary

The Campania region has been recurrently hit by severe landslides in volcanoclastic deposits. The city of Naples, and in particular the Camaldoli and Agnano hills (Phlegraean Fields), also suffered several landslide crises in weathered volcanoclastic rocks as a consequence of intense rainfalls or wildfires. To identify slope failures phenomena occurred in the winter season 2019–2020 an innovative procedure has been proposed. The purpose of this procedure is to highlight areas where major land cover changes occurred within our area of study, which can be potentially related to mass movements. The amplitude of spaceborne SAR images has been exploited for the change detection analysis and the output derived from the segmentation procedure has been compared with field observations. The amplitude-based method has been already applied in the detection of landslides, but never on the event with limited extensions, such as for this application. The achieved outcomes allowed the mapping of 62 new landslides that have been used to update the current landslide inventory database. This type of information is expected to help decision-makers with land planning and risk assessment.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1016/j.rsase.2022.100755
ISSN:	23529385
Date made live:	28 Jun 2022 10:23 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/532810

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1016/j.rsase.2022.100755

ISSN:

23529385

Date made live:

28 Jun 2022 10:23 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/532810