The Global Landslide hazard map is a gridded dataset of landslide hazard produced at the global scale. Landslides happen around the world and have devastating impacts on people and the built environment. To better understand the spatial and temporal distribution of landslide hazard worldwide, the World Bank and the Global Facility for Disaster Reduction and Recovery (GFDRR) commissioned Arup to undertake a landslide hazard assessment at a global scale. Using a global landslide inventory, landslide susceptibility information provided by NASA, and an innovative machine learning model, our geohazard and risk management experts produced a state-of-the-art quantitative landslide hazard map for the whole world. The dataset comprises gridded maps of estimated annual frequency of significant landslides per square kilometre. Significant landslides are those which are likely to have been reported had they occurred in a populated place; limited information on reported landslide size makes it difficult to tie frequencies to size ranges but broadly speaking would be at least greater than 100 m2. The data provides frequency estimates for each grid cell on land between 60°S and 72°N for landslides triggered by seismicity and rainfall. Applications of this dataset include improved hazard screening based on frequency and severity, consistent national, regional and global scale exposure assessment, estimates of annual expected impact on population and the built environment.

Landslide hazard susceptibility mapping in Haines, Alaska, Report of Investigation 2024-8, provides a map and database of historical and prehistoric slope failures, maps of shallow and deep-seated landslide susceptibility, and a map of simulated debris flow runouts for the city and borough of Haines, Alaska. This work was prompted by the deadly Beach Road landslide that occurred on December 2, 2020, in Haines, Alaska, which highlights the significant safety and financial risks posed by slope failures to people and infrastructure. To better inform the Haines Borough of their potential landslide hazards and increase the city's hazard resiliency, the Alaska Division of Geological & Geophysical Surveys (DGGS) developed maps of historical and prehistorical slope failures, shallow landslide susceptibility, and modeled debris flow runouts. DGGS staff created a shallow landslide susceptibility map following protocols like those developed by the Oregon Department of Geology and Mineral Industries, which includes incorporating landslide inventory data, geotechnical soil properties, and lidar-derived topographic slope to calculate the Factor of Safety (FOS), which serves as a proxy for landslide susceptibility. Debris flow runout extents were generated using the model Laharz, which simulates runout extents based on catchment-specific physical parameters (e.g., hypothetical sediment volumes). Data from these analyses are collectively intended to depict locations where landslides are relatively more likely to occur or are relatively more likely to travel. The results provide important hazard information that can help guide planning and future risk investigations. The maps are not intended to predict slope failures and are site-specific; detailed investigations should be conducted before development in vulnerable areas. Results are for informational purposes and are not intended for legal, engineering, or surveying uses. These data and the interpretive maps and report are available from the DGGS website: http://doi.org/10.14509/31309.

A map used in the Hazard Risk Assessment app and the Hazard Explorer app to visualize landslide hazards.

This spatial dataset identifies land where development implications exist due to the Landslide Risk for certain areas as designated by the relevant NSW environmental planning instrument (EPI). The Environmental Planning Instrument (EPI) contains provisions relating to landslide susceptibility conditions and identifies the how risks of development are managed .These are "Additional Local Provisions" that can be found in Part 6 of the EPI

Landslide hazard susceptibility mapping in Homer, Alaska, Report of Investigation 2024-3, provides a map and database of historical and prehistoric slope failures, maps of shallow and deep-seated landslide susceptibility, and a map of simulated debris flow runouts for the City of Homer, Alaska and nearby populated areas including Kachemak City and Millers Landing. The landslide inventory map integrates existing maps of landslides caused by the 1964 Great Alaska Earthquake and newly mapped slope failures identified in sequences of aerial photos since 1950 and high-resolution light detection and ranging (lidar) data collected for this project. The Alaska Division of Geological & Geophysical Surveys (DGGS) staff created a shallow landslide susceptibility map following protocols like those developed by the Oregon Department of Geology and Mineral Industries, which includes incorporating landslide inventory data, geotechnical soil properties, and lidar-derived topographic slope to calculate the Factor of Safety (FOS), which serves as a proxy for landslide susceptibility. Debris flow runout extents were generated using the model Laharz, which simulates runout extents based on catchment-specific physical parameters (e.g., hypothetical sediment volumes). Data from these analyses are collectively intended to depict locations where landslides are relatively more likely to occur or are relatively more likely to travel. The results provide important hazard information that can help guide planning and future risk investigations. The maps are not intended to predict slope failures and are site-specific; detailed investigations should be conducted before development in vulnerable areas. Results are for informational purposes and are not intended for legal, engineering, or surveying uses. These data and the interpretive maps and report are available from the DGGS website: http://doi.org/10.14509/31155.

The Global Landslide Hazard Distribution is a 2.5 minute grid of global landslide and snow avalanche hazards based upon work of the Norwegian Geotechnical Institute (NGI). The hazards mapping of NGI incorporates a range of data including slope, soil, soil moisture conditions, precipitation, seismicity, and temperature. Shuttle Radar Topography Mission (SRTM) elevation data at 30 seconds resolution are also incorporated. Hazards values less than or equal to 4 are considered negligible and only values 5 through 9 are utilized in further analyses. To ensure compatibility with other data sets, value 1 is added to each of the values to provide a hazard ranking ranging 6 through 10 in increasing hazard. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), Norwegian Geotechnical Institute (NGI), and Columbia University Center for International Earth Science and Information Network (CIESIN).

This map shows the relative likelihood of deep landsliding based on regional estimates of rock strength and steepness of slopes. On the most basic level, weak rocks and steep slopes are more likely to generate landslides. This shows the distribution of one very important component of landslide hazard. It is intended to provide infrastructure owners, emergency planners and the public with a general overview of where landslides are more likely. The map does not include information on landslide triggering events, such as rainstorms or earthquake shaking, nor does it address susceptibility to shallow landslides such as debris flows. This map is not appropriate for evaluation of landslide potential at any specific site.

For visualization: If gridcode is 8,9,10 than area is High Susceptibility for landslides

Abstract:This is a digital Seismic Hazard Zone Map presenting areas where liquefaction and landslides may occur during a strong earthquake. Three types of geological hazards, referred to as seismic hazard zones, may be featured on the map: 1) liquefaction, 2) earthquake-induced landslides, and 3) overlapping liquefaction and earthquake-induced landslides. In addition, a fourth feature may be included representing areas not evaluated for liquefaction or earthquake-induced landslides. Developers of properties falling within any of the three zones may be required to investigate the potential hazard and mitigate its threat during the local permitting process.Purpose:The map is used by cities and counties to regulate development and by property owners selling property within areas where seismic hazard zones have been identified. Local governments can withhold development permits until geologic or soils investigations are conducted for specific sites and mitigation measures are incorporated into development plans. Sellers of property use the maps to check the location of their specific site and, if applicable, disclose to the buyer that the property lies within a seismic hazard zone as required by the Seismic Hazards Mapping Act of 1990 (Public Resources Code, Division 2, Chapter 7.8). For information regarding the scope and recommended methods to be used in conducting the required site investigations, see California Geological Survey Special Publication 117A, Guidelines for Evaluating and Mitigating Seismic Hazards in California.Supplemental Information:This map may not show all areas that have potential for liquefaction or landsliding. Also, a single earthquake capable of causing liquefaction or triggering landslide failure will not uniformly affect the entire area zoned. The identification and location of liquefaction and earthquake-induced landslide zones are based on the best available data. However, the quality of data used is varied. Zone boundaries have been drawn as accurately as possible at the map scale.Full detail of metadataReferenced from external source.

The Global Rainfall-Triggered Landslide Hazard Map presents a quantitative representation of landslide hazard. This component is the mean annual rainfall-triggered landslide hazard assessment for the period 1980 – 2018. Raster values represent the modelled average annual frequency of significant rainfall-triggered landslides per sq. km.

Analysis of landslide susceptibility by the DNR / Washington Geologic Survey completed in 2017. These data were produced to provide attribute and spatial information on deep-seated landslide susceptibility. The goal of this data is to estimate the extent of deep-seated landslide susceptible areas. This data is only an estimate of deep-seated landslide susceptible areas, deep-seated landslides can occur outside of the bounds of these polygons. This data is nonregulatory and is intended for informational purposes. It may not be suitable for legal, engineering, forestry, or surveying purposes; but it is intended to assist planners, homeowners, regulators, and others by identifying areas to seek further geologic investigation in before developing, or areas to avoid. Users of this information should consider their intended application, and review or consult the accompanying documentation, to determine the usability of the data for themselves.Data was clipped to Puyallup City limits and converted from raster to Polygon by Puyallup GIS.

The Landslide Susceptibility Index was developed by Response Directorate FEMA Mitigation Division and the Department of Homeland Security Emergency reparedness in order to determine levels of landslide risks according to a eographical region. Parameters analyzed in this index include geologic group types and their compositions' level of rigidity, groundwater levels, and topography (slope).These indices were calculated and then separated into three geologic groups ( Strong, Weak, Agrillaceous) and compared to groundwater levels to determine which areas were either dry or wet. Finally, this data was evaluated alongside slope degrees, determining the final hazard index.

"The Landslide Hazard Area layer forms part of the Landslide Hazard and Steep Land Overlay Maps for the Sunshine Coast Planning Scheme 2014.

The data identifies Moderate Hazard Area, High Hazard Area and Very High Hazard Area. This layer is for the purpose of the Sunshine Coast Planning Scheme 2014 only.

Please contact Council on 5475 7526 or email mail@sunshinecoast.qld.gov.au for more information on the Sunshine Coast Planning Scheme 2014.

Notes on Landslide Hazard and Steep Land Overlay Maps ─ * Overlays provide a trigger for consideration of an overlay issue to be verified by further on-site investigations. * In certain circumstances pre-existing development approvals may override the operation of an overlay."

Learn more about the City of Santa Monica's Multi-Hazard Plan at https://www.smgov.net/Departments/OEM/Preparedness/Multi-Hazard_Plan.aspx

This is a digital Seismic Hazard Zone Map presenting areas where liquefaction and landslides may occur during a strong earthquake. Three types of geological hazards, referred to as seismic hazard zones, may be featured on the map: 1) liquefaction, 2) earthquake-induced landslides, and 3) overlapping liquefaction and earthquake-induced landslides. In addition, a fourth feature may be included representing areas not evaluated for liquefaction or earthquake-induced landslides. Developers of properties falling within any of the three zones may be required to investigate the potential hazard and mitigate its threat during the local permitting process.

This map describes the possible hazard from earthquake-induced landslides for the cities of Oakland and Piedmont, CA. The hazard depicted by this map was modeled for a scenario corresponding to an M=7.1 earthquake on the Hayward, CA fault. This scenario magnitude is associated with complete rupture of the northern and southern segments of the Hayward fault, an event that has an estimated return period of about 500 years. The modeled hazard also corresponds to completely saturated ground- water conditions resulting from an extreme storm event or series of storm events. This combination of earthquake and ground-water scenarios represents a particularly severe state of hazard for earthquake-induced landslides. For dry ground-water conditions, overall hazard will be less, while relative patterns of hazard are likely to change.

The Landslide Hazard Assessment for Situational Awareness (LHASA) model identifies locations with high potential for landslide occurrence at a daily temporal resolution. LHASA combines satellite‐based precipitation estimates with a landslide susceptibility map derived from information on slope, geology, road networks, fault zones, and forest loss. When rainfall is considered to be extreme and susceptibility values are moderate to very high, a “nowcast” is issued to indicate the times and places where landslides are more probable.

This archive contains GeoTIFF Rasters that are a 16-year average (beginning of 2001 - end of 2016). The spatial coverage is from 72°N to 60°S latitude, and 180°W to 180°E longitude, based on IMERG Ver06B from the aforementioned time interval. The provided global maps of exposure to landslide hazards, are at a 30x30 arc-second resolution. These maps show the estimated exposure of population, roads, and critical infrastructure (hospitals/clinics, schools, fuel stations, power stations & distribution facilities) to landslide hazard, as modeled by the NASA LHASA model.

The data collection consists of eight files, covering the aforementioned spatial and temporal ranges, totaling approximately 20.3 GB (~2.5 GB each): (1): Landslide hazard (annual average; Units: Nowcasts.yr-1) (2): Landslide hazard (annual standard deviation; Units: Nowcasts.yr-1) (3): Population exposure (annual average; Units: Person-Nowcasts. yr-1. km-2) (4): Population exposure (annual standard deviation; Units: Person-Nowcasts. yr-1. km-2) (5): Road exposure (annual average; Units: Nowcasts.km.yr-1.km-2) (6): Road exposure (annual standard deviation; Units: Nowcasts.km.yr-1.km-2) (7): Critical infrastructure exposure (annual average; Units: Nowcasts.element.yr-1.km-2) (8): Critical infrastructure exposure (annual standard deviation; Units: Nowcasts.element.yr-1.km-2)

This landslide susceptibility mapping study is a requirement of the Bay of Plenty Regional Policy Statement. The methodology of the study is generally based on the “basic” level assessment described in the Australian Geomechanics Society Guideline for Landslide Susceptibility, Hazard and Risk Zoning (AGS, 2007a).The study area consists of the Bay of Plenty regional boundary, excluding the Tauranga City district and five other areas where landslide susceptibility studies have previously been carried out or are currently being undertaken. It also includes the part of the Rotorua Lakes District that lies within the Waikato region. The geology, geomorphology and characteristic mechanisms of landsliding across the study area are described, based on the results of a literature review of available information. Factors that influence slope stability are identified from the results of the literature review, including correlation to an inventory of previous landslides. Assessment of the landslide susceptibility is based on weighting of the influencing factors and combining these in Geographical Information System (GIS) platform using available geospatial datasets. Four categories of landslide susceptibility are described, from Very Low to High, and these are mapped across the region in GIS showing the spatial distribution and extent of the different susceptibility categories. The maps do not present potential areas of regression and runout of landslide debris, which have not been assessed at this stage. The region was mapped at a 1:50,000 scale, except for urban areas identified by BOPRC, which were mapped at 1:25,000. The maps should be used at appropriate scales suggested, and were made available to the public through the Council natural hazards GIS viewer, the scale should be restricted to 1:25,000 for the 12 identified Urban Areas, and 1:50,000 for the remainder of the region.

This dataset depicts low, medium, and high landslide hazard zones for the island of Tutuila, American Samoa. The data was digitized from a mosaic of scanned paper maps produced in conjunction with a Landslide Mitigation Study for Tutuila Island by the U.S. Department of Agriculture/Soil Conservation Service (USDA/SCS) for the American Samoa Coastal Management Program on October 30, 1990.

File linked to the shape file of dataset containing landslides inventoried using dots features

Landslide Hazard Mapping for Roads Market Outlook

According to our latest research, the global landslide hazard mapping for roads market size reached USD 1.42 billion in 2024, and is projected to grow at a robust CAGR of 10.5% from 2025 to 2033, reaching approximately USD 3.54 billion by 2033. The market’s growth is primarily driven by the increasing frequency of landslides due to climate change, rapid urbanization in hilly terrains, and the urgent need for resilient infrastructure planning and disaster risk reduction. As per our latest research, the adoption of advanced mapping technologies and the integration of real-time data analytics are further fueling market expansion.

A significant growth factor for the landslide hazard mapping for roads market is the escalating impact of extreme weather events and climate change on road infrastructure globally. With rising instances of heavy rainfall, flooding, and rapid snowmelt, the susceptibility of road networks, particularly in mountainous and hilly regions, has increased manifold. Governments and transportation authorities are now prioritizing proactive risk assessment measures to ensure the safety and longevity of critical roadways. The integration of landslide hazard mapping into road planning and maintenance enables stakeholders to identify vulnerable sections, implement early warning systems, and optimize resource allocation for mitigation efforts. This preventative approach not only reduces economic losses but also saves lives, making landslide hazard mapping an essential component of modern infrastructure management.

Technological advancements have been pivotal in driving the growth of the landslide hazard mapping for roads market. The adoption of sophisticated mapping techniques such as remote sensing, GIS-based mapping, LiDAR, and photogrammetry has revolutionized the accuracy and efficiency of hazard assessment. These technologies allow for high-resolution data collection, real-time monitoring, and comprehensive analysis of terrain dynamics, soil composition, and hydrological patterns. As a result, stakeholders can develop detailed hazard maps that inform both immediate response strategies and long-term infrastructure planning. Moreover, the integration of artificial intelligence and machine learning algorithms into mapping software is enabling predictive modeling, which enhances the ability to forecast landslide risks under various climatic scenarios. The ongoing evolution of mapping technologies is expected to further accelerate market growth by making hazard mapping more accessible and cost-effective.

Another key driver of market expansion is the growing regulatory emphasis on disaster risk reduction and resilient infrastructure development. International organizations, such as the United Nations and the World Bank, along with national governments, are implementing stringent guidelines and funding programs to promote the use of landslide hazard mapping in road construction and maintenance projects. This regulatory push is particularly pronounced in emerging economies where rapid urbanization is intersecting with challenging topographies. The availability of funding and technical assistance is encouraging public and private sector collaboration, fostering innovation, and expanding the scope of hazard mapping initiatives. Additionally, increased public awareness of landslide risks is prompting local communities and advocacy groups to demand improved safety measures, further boosting market demand.

From a regional perspective, Asia Pacific dominates the landslide hazard mapping for roads market, accounting for a substantial share of global revenue. The region’s extensive mountainous terrain, high population density, and frequent exposure to monsoon rains make it particularly vulnerable to landslides. Countries such as China, India, Nepal, and Japan are investing heavily in advanced mapping solutions to safeguard critical transportation corridors. North America and Europe also represent significant markets, driven by the modernization of aging infrastructure and the adoption of cutting-edge geospatial technologies. Meanwhile, Latin America and the Middle East & Africa are witnessing increasing adoption of hazard mapping as part of broader disaster risk management strategies, supported by international development agencies and regional governments. This global momentum underscores the critical role of landslide hazard mapping in ensuring road safety and infrastructure resilience in the face of evolving environmental challenges.