EGU2020-18214
https://doi.org/10.5194/egusphere-egu2020-18214
EGU General Assembly 2020
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Landslides in Central Italy identified from Sentinel 2 multispectral imaging time series analysis with Google Earth Engine

Marco Bartola1, Carla Braitenberg1, and Carlo Bisci2
Marco Bartola et al.
  • 1University of Trieste, Department of Mathematics and Geosciences, Trieste, Italy (marco.bartola@phd.units.it)
  • 2University of Camerino, School of Sciences and Technology, Geology Section, Camerino, Italy (carlo.bisci@unicam.it)

In 2016, Central Italy was hit by a months-lasting earthquake sequence that started off in August 24th 2016 with a Mw 6.2 earthquake which provoked severe damage to the towns of Accumoli (RI) and Amatrice (RI). The following October 30th 2016 earthquake (Mw 6.5), with epicenter in Norcia (PG) about 20 km NW of the first shock, triggered landslides in the area of Visso (MC), as reported by local newspapers.

The purpose of this work is to individuate the areas affected by such landslides using the radiance variation recorded by multispectral images acquired by Sentinel 2. The time series analysis of the images has been carried out in Google Earth Engine environment, that allows access to the entire suite of available images. Due to the steep terrain, the shadowing effect of the hills was taken into account and comparison of images have been made only for those taken in the same seasonal moment of different years, thus guaranteeing the same solar elevation.

It was found that the band of red was instrumental in identifying landslides along slopes made up of limestone, which is the typical outcrop of the area. Due to the extended time period between the images (July 2015 and July 2017), anthropogenic changes in land-use were present and had to be distinguished from landslides. A criterion involving the slope angle was developed, maintaining only the changes that had occurred on slopes steeper than 25°, since man-made interventions giving similar spectral response are hardly done in steep areas. The slope analysis and correlation study with the extension and location of landslides was carried out using a Geographic Information System. (ESRI ArcGIS 10.5) The total extent of the area affected by the surveyed landslides is very large, having  been estimated to be more than 200 000 m2.

How to cite: Bartola, M., Braitenberg, C., and Bisci, C.: Landslides in Central Italy identified from Sentinel 2 multispectral imaging time series analysis with Google Earth Engine, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18214, https://doi.org/10.5194/egusphere-egu2020-18214, 2020.

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