Earth  ID: 4640

Close-up Views of the Global Landslide Hazard Assessment Model (LHASA) overlaid with Global Landslide Catalog (GLC) data

This entry contains source material for the close-up views of: New NASA Model Finds Landslide Threats in Near Real-Time During Heavy Rains, released on March 22, 2018.

High resolution (of size 9,600x5,400) still images have been developed to enable close-up views in any location around the world. The material in this entry is provided by month and in separate layers.

Landslides occur when an environmental trigger like an extreme rain event, often a severe storm or hurricane, and gravity's downward pull sets soil and rock in motion. Conditions beneath the surface are often unstable already, so the heavy rains act as the last straw that causes mud, rocks, or debris- or all combined- to move rapidly down mountains and hillsides. Unfortunately, people and property are often swept up in these unexpected mass movements. Landslides can also be caused by earthquakes, surface freezing and thawing, ice melt, the collapse of groundwater reservoirs, volcanic eruptions, and erosion at the base of a slope from the flow of river or ocean water. But torrential rains most commonly activate landslides.

A new model has been developed to look at how potential landslide activity is changing around the world. A global Landslide Hazard Assessment model for Situational Awareness (LHASA) has been developed to provide an indication of where and when landslides may be likely around the world every 30min. This model uses surface susceptibility (including slope, vegetation, road networks, geology, and forest cover loss) and satellite rainfall data from the Global Precipitation Measurement (GPM) mission to provide moderate to high “nowcasts.” This visualization shows the landslide nowcast results leveraging nearly two decades of Tropical Rainfall Measurement Mission (TRMM) rainfall over 2001-2016 to identify a landslide climatology by month at a 1 km grid cell. The average nowcast values by month highlight the key landslide hotspots, such as the Southeast Asia during the monsoon season in June through August and the U.S. Pacific Northwest in December and January.

Overlaid with these nowcasts values are a Global Landslide Catalog (GLC) was developed with the goal of identifying rainfall-triggered landslide events around the world, regardless of size, impact, or location. The GLC considers all types of mass movements triggered by rainfall, which have been reported in the media, disaster databases, scientific reports, or other sources. The visualization shows the distribution of landslides each month based on the estimated number of fatalities the event caused. The GLC has been compiled since 2007 at NASA Goddard Space Flight Center and contains over 11,000 reports and growing. A new project called the Community the Cooperative Open Online Landslide Repository, or COOLR, provides the opportunity for the community to view landslide reports and contribute their own. The goal of the COOLR project is to create the largest global public online landslide catalog available and open to for anyone everyone to share, download, and analyze landslide information.

More information on this system is available at: https://landslides.nasa.gov
The Global Landslide Catalog is currently available here: https://catalog.data.gov/dataset/global-landslide-catalog-export
 

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For More Information

https://landslides.nasa.gov

NASA's Precipitation Measurement Missions


Visualization Credits

Lead Visualizer:
Helen-Nicole Kostis (USRA)

Visualizers:
Horace Mitchell (NASA/GSFC)
Greg Shirah (NASA/GSFC)

Lead Scientists:
Dalia B Kirschbaum (NASA/GSFC)
Thomas A. Stanley (USRA)

Lead Producer:
Ryan Fitzgibbons (USRA)

Producer:
Joy Ng (USRA)

Technical Support:
Ian Jones (ADNET Systems Inc.)
Laurence Schuler (ADNET Systems Inc.)

Project Supporters:
Joycelyn Thomson Jones (NASA/GSFC)
Leann Johnson (GST)
Eric Sokolowsky (GST)

Please give credit for this item to:
NASA's Scientific Visualization Studio

Science Paper:
Dalia Kirschbaum and Thomas Stanley, Satellite-Based Assessment of Rainfall-Triggered Landslide Hazard for Situational Awareness, Earth's Future, Volume 6, Issue 3, March 2018, Pages 297-616, ISSN 2328-4277, doi.org/10.1002/2017EF000715

Short URL to share this page:
http://svs.gsfc.nasa.gov/4640

Mission:
Global Precipitation Measurement (GPM)

Data Used:
Global Landslide Catalogue 2007-2017
Global Landslide Hazard Assessment for Situational Awareness (LHASA)
Note: While we identify the data sets used in these visualizations, we do not store any further details nor the data sets themselves on our site.

Keywords:
SVS >> GPM
DLESE >> Geology
DLESE >> Physical geography
GCMD >> Earth Science >> Atmosphere >> Precipitation
GCMD >> Earth Science >> Land Surface >> Erosion/Sedimentation >> Landslides
SVS >> Mudslide
SVS >> Hyperwall
SVS >> Natural Disaster
NASA Science >> Earth
GCMD >> Earth Science >> Climate Indicators >> Land Surface/agriculture Indicators >> Landslides
GCMD >> Earth Science >> Human Dimensions >> Natural Hazards >> Landslides
GCMD >> Earth Science >> Human Dimensions >> Social Behavior >> Disaster Response

GCMD keywords can be found on the Internet with the following citation: Olsen, L.M., G. Major, K. Shein, J. Scialdone, S. Ritz, T. Stevens, M. Morahan, A. Aleman, R. Vogel, S. Leicester, H. Weir, M. Meaux, S. Grebas, C.Solomon, M. Holland, T. Northcutt, R. A. Restrepo, R. Bilodeau, 2013. NASA/Global Change Master Directory (GCMD) Earth Science Keywords. Version 8.0.0.0.0