Earth  ID: 4633

Landslide Activity in the Americas for the Cover of Earth's Future

This print-resolution still image was created for the cover of the March 2018 issue of Earth's Future. In an article in the same issue, NASA scientists Dalia Kirschbaum and Thomas Stanley describe the new model they developed to look at potential landslide activity.

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 data driven still image shows the landslide nowcast in the Americas for the month of January 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.

For more information about the newly developed model, please visit: New NASA Model Finds Landslide Threats in Near Real-Time During Heavy Rains
 

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For More Information

https://landslides.nasa.gov

NASA's Precipitation Measurement Missions


Visualization Credits

Lead Visualizer:
Helen-Nicole Kostis (USRA)

Visualizer:
Horace Mitchell (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, https://doi.org/10.1002/2017EF000715

Short URL to share this page:
http://svs.gsfc.nasa.gov/4633

Mission:
Global Precipitation Measurement (GPM)

Data Used:
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 >> 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