Global landslide hazard map

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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.

Type: 
Geospatial
Languages Supported: 
English
Topics: 
Environment and Natural Resources
GP & CCSAs: 
Environment & Natural Resources
Granularity: 
Geographical Coverage: 
World
East Asia & Pacific
American Samoa
Australia
Brunei Darussalam
Cambodia
China
Cook Islands
Fiji
French Polynesia
Guam
Hong Kong SAR, China
Indonesia
Japan
Kiribati
Korea, Dem. People's Rep.
Korea, Rep.
Lao PDR
Macao SAR, China
Malaysia
Marshall Islands
Micronesia, Fed. Sts.
Mongolia
Myanmar
Nauru
New Caledonia
New Zealand
Niue
Northern Mariana Islands
Palau
Papua New Guinea
Philippines
Samoa
Singapore
Solomon Islands
Taiwan, China
Thailand
Timor-Leste
Tonga
Tuvalu
Vanuatu
Vietnam
Europe & Central Asia
Albania
Andorra
Armenia
Austria
Azerbaijan
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Channel Islands
Croatia
Cyprus
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Georgia
Germany
Gibraltar
Greece
Greenland
Hungary
Iceland
Ireland
Isle of Man
Italy
Kazakhstan
Kosovo
Kyrgyz Republic
Latvia
Liechtenstein
Lithuania
Luxembourg
Moldova
Monaco
Montenegro
Netherlands
North Macedonia
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovak Republic
Slovenia
Spain
Sweden
Switzerland
Tajikistan
Turkey
Turkmenistan
Ukraine
United Kingdom
Uzbekistan
Latin America & Caribbean
Anguilla
Antigua and Barbuda
Aruba
Argentina
Bahamas, The
Barbados
Belize
Bolivia
Brazil
British Virgin Islands
Cayman Islands
Chile
Costa Rica
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
El Salvador
Grenada
Guatemala
Guyana
Haiti
Honduras
Jamaica
Martinique
Mexico
Montserrat
Nicaragua
Panama
Paraguay
Peru
Netherlands Antilles
Puerto Rico
Sint Maarten (Dutch part)
St. Barthélemy
St. Kitts and Nevis
St. Martin (French part)
St. Lucia
St. Vincent and the Grenadines
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela, RB
Virgin Islands (U.S.)
Middle East & North Africa
Algeria
Bahrain
Egypt, Arab Rep.
Djibouti
Iraq
Iran, Islamic Rep.
Israel
Jordan
Kuwait
Lebanon
Libya
Malta
Morocco
Oman
Qatar
Saudi Arabia
Syrian Arab Republic
West Bank and Gaza
United Arab Emirates
Tunisia
Yemen, Rep.
North America
Bermuda
Canada
United States
South Asia
Afghanistan
Bangladesh
Bhutan
India
Pakistan
Nepal
Maldives
Sri Lanka
Sub-Saharan Africa
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo, Dem. Rep.
Congo, Rep.
Côte d'Ivoire
Ethiopia
Eritrea
Equatorial Guinea
Gabon
Gambia, The
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mozambique
Namibia
Niger
Nigeria
Reunion
Rwanda
São Tomé and Principe
Seychelles
Senegal
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Eswatini
Tanzania
Togo
Uganda
Zambia
Zimbabwe
Economy Coverage: 
Economy Coverage not specified
Number of Economies: 
234
Periodicity: 
Periodicity not specified
Statistical Concept and Methodology: 
A statistical relationship was developed between recorded landslides, susceptibility at the landslide location and daily rainfall in the prior days and weeks. Using the relationship, the daily probability of landslide occurrence per sq.km was estimated for the period 1980-2018. The dataset was validated against a number of local landslide catalogs and previous studies. The model suggests that in the order of 400,000 significant rainfall-triggered landslides occur globally per year. The average annual number of significant earthquake-triggered landslides is estimated to be in the order of 130,000. Based on the analysis of simulated daily rainfall, seasonality of landslide hazard in each country was summarized. Simulated trends in annual landslide frequency for the period 1980-2018 indicate an increase in landslide frequency due to changes in rainfall, particularly in southeast Asia since the mid-1990s. Beyond this period, the effects of climate change on landslide hazard were not explored.
Unit of measure: 

Annual probability of occurrance (significant landslides)

Aggregation Method: 
Aggregation on a 1 km2 raster grid.
Data Notes: 
The dataset is publicly available for download and use and it consists of 4 global map layers: - Mean annual rainfall-triggered landslide hazard (1980 – 2018): raster values represent the modelled average annual frequency of significant rainfall-triggered landslides per sq. km. - Median annual rainfall-triggered landslide hazard (1980 – 2018): raster values represent the modelled median annual frequency of significant rainfall-triggered landslides per sq. km. - Mean annual earthquake-triggered landslide hazard: raster values represent the modelled average annual frequency of significant earthquake-triggered landslides per sq. km. - Aggregate hazard index ranging from 1 (low) to 4 (very high) implemented in Thinkhazard! website (www.thinkhazard.org)
Disclaimer: 
The global hazard levels do not replace the need for detailed natural hazard risk analysis and/or expert advice at local scale. While the hazard level is scientifically determinef, there are still uncertainties in the data and analysis. Data users should access more information by contacting relevant national authorities, reviewing the recommended resources. The information contained in this dataset is provided for informational purposes only and does not constitute legal or scientific advice or service. The World Bank makes no warranties or representations, express or implied as to the accuracy or reliability of this tool or the data contained therein. Any use thereof or reliance thereon is at the sole and independent discretion and responsibility of the user. No conclusions or inferences drawn from this data should be attributed to the World Bank group.
Other Producer (s) Name, Affiliation, Role: 
Funded by GFDRR, produced by ARUP ltd
Time Periods: 
July, 2020
Spatial Resolution: 
1 sq km
Reference System: 
WGS 84 (EPSG 4326)

No Visualizations Available.

Global Landslide Hazard Map, The World Bank

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.

FieldValue
Modified Date
2020-07-06
Release Date
Periodicity
Identifier
8647117a-5fed-4cf0-90a1-ad35df527787
License
License Not Specified
Contact Email
Public Access Level
Public
Rating: 
0
No votes yet
Type: 
Languages Supported: 
Disclaimer: 
The global hazard levels do not replace the need for detailed natural hazard risk analysis and/or expert advice at local scale. While the hazard level is scientifically determinef, there are still uncertainties in the data and analysis. Data users should access more information by contacting relevant national authorities, reviewing the recommended resources. The information contained in this dataset is provided for informational purposes only and does not constitute legal or scientific advice or service. The World Bank makes no warranties or representations, express or implied as to the accuracy or reliability of this tool or the data contained therein. Any use thereof or reliance thereon is at the sole and independent discretion and responsibility of the user. No conclusions or inferences drawn from this data should be attributed to the World Bank group.
Time Periods: 
July, 2020
Economy Coverage: 
Spatial Resolution: 
1 sq km
Reference System: 
WGS 84 (EPSG 4326)
Other Producer (s) Name, Affiliation, Role: 
Funded by GFDRR, produced by ARUP ltd
Number of Economies: 
234
Geographical Coverage: 
Data Classification of a Dataset: 
GCC
Programatic Region: 
Unit of measure: 
Annual probability of occurrance (significant landslides)
Granularity: 
Data Notes: 
The dataset is publicly available for download and use and it consists of 4 global map layers: - Mean annual rainfall-triggered landslide hazard (1980 – 2018): raster values represent the modelled average annual frequency of significant rainfall-triggered landslides per sq. km. - Median annual rainfall-triggered landslide hazard (1980 – 2018): raster values represent the modelled median annual frequency of significant rainfall-triggered landslides per sq. km. - Mean annual earthquake-triggered landslide hazard: raster values represent the modelled average annual frequency of significant earthquake-triggered landslides per sq. km. - Aggregate hazard index ranging from 1 (low) to 4 (very high) implemented in Thinkhazard! website (www.thinkhazard.org)
Statistical Concept and Methodology: 
A statistical relationship was developed between recorded landslides, susceptibility at the landslide location and daily rainfall in the prior days and weeks. Using the relationship, the daily probability of landslide occurrence per sq.km was estimated for the period 1980-2018. The dataset was validated against a number of local landslide catalogs and previous studies. The model suggests that in the order of 400,000 significant rainfall-triggered landslides occur globally per year. The average annual number of significant earthquake-triggered landslides is estimated to be in the order of 130,000. Based on the analysis of simulated daily rainfall, seasonality of landslide hazard in each country was summarized. Simulated trends in annual landslide frequency for the period 1980-2018 indicate an increase in landslide frequency due to changes in rainfall, particularly in southeast Asia since the mid-1990s. Beyond this period, the effects of climate change on landslide hazard were not explored.
Citation Text: 
Global Landslide Hazard Map, The World Bank
Aggregation Method: 
Aggregation on a 1 km2 raster grid.
Modified date: 
96
Primary Dataset: 
Yes

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This dataset is classified as Public under the Access to Information Classification Policy. Users inside and outside the Bank can access this dataset.

This dataset is licensed under CC-BY-NC 4.0
CC-BY-NC 4.0

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