DOI: 10.5281/zenodo.6617193
title: Semi-automatic and manual shallow landslide inventories of two extreme rainfall events.

description: This dataset contains the polygons of automatic ( PL) and manually (ML)  based shallow landslides related to two extreme rainfall events. In KML format, the dataset can be visualized on GIS software or  Google Earth.
With more details, it is possible to find:

AOI_2016: The study area of the extreme rainfall of November 2016,  Tanerello and Arroscia Valleys NW Italy.
The  2016_PL:  The inventory of potential shallow landslides semi-automatically  mapped on the base of Sentinel-2 images  related to extreme rainfall events that hit NW Italy in November 2016
The  2016_ML:  The inventory of shallow landslides manually mapped on high-resolution images of Google Earth, related to extreme rainfall events that hit NW Italy in November 2016
AOI_2019_large: The study area of the extreme rainfall of October 2019  NW Italy.
AOI_2019: The testing area of the extreme rainfall of October 2019, Gavi Area NW Italy.
The  2019_PL_all: The inventory of potential shallow landslides semi-automatically  mapped on the base of Sentinel-2 images  related to extreme rainfall events that hit NW Italy in October 2019 (whole Study area)
The  2019_PL:  The inventory of potential shallow landslides semi-automatically  mapped on the base of Sentinel-2 images  related to extreme rainfall events that hit NW Italy in October 2019 (Gavi test area)
The  2019_ML: The inventory of shallow landslides manually mapped on high-resolution images of Google Earth, related to extreme rainfall events that hit NW Italy in October 2019
GEE_Script: A list of codes used in Google Earth Engine to produce NDVI time series or averaged NDVI on some sample studied areas are reported in the attached PDF.  The code may be pasted and copied to the Google Earth Engine console. 
The codes (if an account on  Google Earth Engine is active) may be reached directly from the following URLs: 
Script 1. NDVI time series of some sampled areas to select the best pair of images for the PL creation (Tanarello and Arroscia Valley and GAVI AOIs; Fig. 16 of the paper). Link to GEE: https://code.earthengine.google.com/998af951fcb74519589bf8e722bb30b0?noload=true
Script 2. sampled NDVI time series from different intersection cases for the Tanarello and Arroscia Valley study area (2016  Event). Link to  GEE: https://code.earthengine.google.com/b622cb64f90771ced78ef73bad9cc50f?noload=true
Script 3. Sampled NDVI time series from different land-use cases for the Gavi study area (2019  Event). Link to  GEE: https://code.earthengine.google.com/f686c60b78a3dee0b2a2c94a259ccff2?noload=true
Script 4. Multi-temporal-averaged NDVIvar    Link to GEE Script:  https://code.earthengine.google.com/bfc2e570bb675372c4c482eef682be4a?noload=true for the whole Gavi study area (2019 flood) and   https://code.earthengine.google.com/a3390b262cef1b5f42837c88d8791b5b?noload=true for the entire Arroscia-Tanarello study area
The full description of the methodology can be found in the paper of  Notti et al., 2023
Notti, D., Cignetti, M., Godone, D., and Giordan, D.: Semi-automatic mapping of shallow landslides using free Sentinel-2 images and Google Earth Engine, Nat. Hazards Earth Syst. Sci., 23, 2625–2648, https://doi.org/10.5194/nhess-23-2625-2023, 2023