Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The global landslide susceptibility map combines information on elevation, geology, fault, roads, and forest loss to rank most of the Earth’s land surface. The performance of this map was assessed with the Global Landslide Catalog (GLC).</SPAN></P><P><SPAN STYLE="font-weight:bold;">Abstract</SPAN></P><P><SPAN>Landslides can have significant and pervasive impacts to life and property around the world. Several attempts have been made to predict the geographic distribution of landslide activity at continental and global scales. These efforts shared common traits such as resolution, modeling approach, and explanatory variables. The lessons learned from prior research have been applied to build a new global susceptibility map from existing and previously unavailable data. Data on slope, faults, geology, forest loss, and road networks were combined using a heuristic fuzzy approach. The map was evaluated with a Global Landslide Catalog developed at the National Aeronautics and Space Administration, as well as several local landslide inventories. Comparisons to similar susceptibility maps suggest that the subjective methods commonly used at this scale are, for the most part, reproducible. However, comparisons of landslide susceptibility across spatial scales must take into account the susceptibility of the local subset relative to the larger study area. The new global landslide susceptibility map is intended for use in disaster planning, situational awareness, and for incorporation into global decision support systems.</SPAN></P><P><SPAN STYLE="font-weight:bold;">Data visualization</SPAN></P><P><SPAN>Landslide susceptibility is shown using a 5-color Color Ramp from blue to red. Values represent Very Low (blue) to Very High (red) susceptibility to a landslide.</SPAN></P><P><SPAN STYLE="font-weight:bold;">Further reference</SPAN></P><P><SPAN>Read more about the susceptibility map on the Global Precipitation Measurement (GPM) mission website.</SPAN></P><P><SPAN>Stanley, T., and D. B. Kirschbaum (2017), A heuristic approach to global landslide susceptibility mapping, Nat. Hazards, 1–20, doi:10.1007/s11069-017-2757-y.</SPAN></P></DIV></DIV></DIV>