Landslide Influencing Factors for Landslide Susceptibility Mapping in Lombardy, Italy

<p>A selection of &nbsp;Landslide Influencing Factors used for Landslide susceptibility mapping through machine learning models covering the Lombardy region in Italy.</p> <p>A list of the factors:</p> <ul> <li>Averaged Hourly Precipitation for the year of 2020. Source: Precipitation data from ARPA Lombardia.</li> <li>Digital Elevation Model [meters], 5m/pix. Source: GeoPortale Lombardia.</li> <li>Eastness [unitless], 5m/pix. Source: DTM derived.</li> <li>Faults buffer (50, 100, 200, 500, &gt;500), [meters], 1:10 000. Source: GeoPortale Lombardia, derived.</li> <li>Land Use Land Cover Map. Source: GeoPortale Lombardia.</li> <li>Lithology, 5m/pix. Source: GeoPortale Lombardia.</li> <li>Normalized Difference Vegetation Index, [unitless], 10m/pix. Source: Sentinel-2 derived for the year 2020.</li> <li>Northness [unitless], 5m/pix. Source: DTM derived.</li> <li>Orientation of the slope faces [degrees], 5m/pix. Source: DTM derived.</li> <li>Plan Curvature [unitless], 5m/pix. Source: DTM derived.</li> <li>Profile Curvature [unitless], 5m/pix. Source: DTM derived.</li> <li>River buffer (50, 100, 200, 500, &gt;500), [meters], 1:10 000. Source: GeoPortale Lombardia, derived.</li> <li>Road buffer (50, 100, 200, 500, &gt;500), [meters], 1:10 000. Source: GeoPortale Lombardia, derived.</li> <li>The 90^th percentile of hourly precipitation for the year of 2020. Source: Precipitation data from ARPA Lombardia.</li> <li>Topographic Wetness Index, 5m/pix&nbsp;. Source: DTM derived</li> </ul> <p>The maps are in WGS 84/ UTM zone 32N (EPSG:32632).</p> <p>The map production process details are discussed in Xu et al. 2024. If you use the dataset, please, cite also the paper:</p> <p><em>Qiongjie Xu, Vasil Yordanov, Lorenzo Amici &amp; Maria Antonia Brovelli (2024) Landslide susceptibility mapping using ensemble machine learning methods: a case</em><br><em>study in Lombardy, Northern Italy, International Journal of Digital Earth, 17:1, 2346263, DOI:10.1080/17538947.2024.2346263</em></p> <p>The maps are produced as part of the "Geoinformatics and Earth Observation for Landslide Monitoring" Italy-Vietnam.</p> <p>The work is partially funded by the Italian Ministry of Foreign Affairs and International Cooperation within the project &ldquo;Geoinformatics and Earth Observation for Landslide Monitoring&rdquo; CUP D19C21000480001.</p> <p>&nbsp;</p>