Landslides/LHASA_Exposure (MapServer)

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Service Description: <div><div>Landslides are a widespread and often underestimated natural hazard, causing thousands of deaths and significant economic damage each year. They routinely block roads, destroy infrastructure, and disrupt communities worldwide. While intense or prolonged rainfall is the most common landslide trigger, earthquakes and human activities can also cause them.</div><div><br /></div><div>The global Landslide Hazard Assessment for Situational Awareness (LHASA) model provides users with a comprehensive view of landslide hazard in near real-time. Using machine learning, LHASA combines rainfall data from the Global Precipitation Measurement (GPM) satellite with antecedent soil moisture from the Soil Moisture Active Passive (SMAP) satellite to identify areas currently at risk from landslides. The model shows where and when landslides are most probable, then calculates the exposed population and road length within each administrative district, helping users understand both the hazard and potential impacts on communities and infrastructure.</div><div><br /></div><div>Daily global landslide risk assessment from the LHASA (Landslide Hazard Assessment for Situational Awareness) model. Color-coded hazard levels range from red (very high risk) to yellow (low risk), helping users identify areas where landslides may occur.</div><br /><div>To learn more please visit: <a href='https://landslides.nasa.gov/' target='_blank'>https://landslides.nasa.gov/</a></div></div>

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LHASA_Exposure (0)

Description: Landslides are a widespread and often underestimated natural hazard, causing thousands of deaths and significant economic damage each year. They routinely block roads, destroy infrastructure, and disrupt communities worldwide. While intense or prolonged rainfall is the most common landslide trigger, earthquakes and human activities can also cause them.The global Landslide Hazard Assessment for Situational Awareness (LHASA) model provides users with a comprehensive view of landslide hazard in near real-time. Using machine learning, LHASA combines rainfall data from the Global Precipitation Measurement (GPM) satellite with antecedent soil moisture from the Soil Moisture Active Passive (SMAP) satellite to identify areas currently at risk from landslides. The model shows where and when landslides are most probable, then calculates the exposed population and road length within each administrative district, helping users understand both the hazard and potential impacts on communities and infrastructure.Daily global landslide risk assessment from the LHASA (Landslide Hazard Assessment for Situational Awareness) model. Color-coded hazard levels range from red (very high risk) to yellow (low risk), helping users identify areas where landslides may occur.To learn more please visit: https://landslides.nasa.gov/

Service Item Id: 25b8dd3688804a41a7e0d549dfe05935

Copyright Text: NASA GSFC

Spatial Reference: 4326 (4326) LatestVCSWkid(0)

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Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

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Supported Query Formats: JSON, geoJSON, PBF

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Child Resources: Info Dynamic Layer

Supported Operations: Export Map Identify QueryLegends QueryDomains Find Return Updates