Landslides are a prominent natural hazard across the U.S. globally and can result in fatalities as well as costly and disruptive infrastructure damage. To better understand landslide hazards and risk, we need more accurate assessments of landslide potential across the country.
The NLHM project aims to improve understanding of landslide occurrence, susceptibility, and frequency to produce accurate national-scale maps available to the public and decision makers. It also focuses on understanding landslide impacts and exposure to inform effective and equitable risk reduction strategies.
We aim to assemble comprehensive inventories of landslide occurrence and associated impacts. We also intend to improve regional- and national-scale models of landslide susceptibility, develop preliminary hazard assessments, and begin quantifying landslide risk.
Integrating Disparate Spatial Datasets from Local to National Scale for Open-Access Web-Based Visualization and Analysis: A Case Study Compiling U.S. Landslide Inventories
Landslide Inventories across the United States version 2
Slope Unit Maker (SUMak): An efficient and parameter-free algorithm for delineating slope units to improve landslide modeling
Mapping landslide susceptibility over large regions with limited data
Constructing a large-scale landslide database across heterogeneous environments using task-specific model updates
Landslides across the United States: Occurrence, susceptibility, and data limitations
U.S. Landslide Inventory and Susceptibility Map
Landslides are a prominent natural hazard across the U.S. globally and can result in fatalities as well as costly and disruptive infrastructure damage. To better understand landslide hazards and risk, we need more accurate assessments of landslide potential across the country.
The NLHM project aims to improve understanding of landslide occurrence, susceptibility, and frequency to produce accurate national-scale maps available to the public and decision makers. It also focuses on understanding landslide impacts and exposure to inform effective and equitable risk reduction strategies.
We aim to assemble comprehensive inventories of landslide occurrence and associated impacts. We also intend to improve regional- and national-scale models of landslide susceptibility, develop preliminary hazard assessments, and begin quantifying landslide risk.