Landslides/LHASA_Exposure (FeatureServer)

View In: ArcGIS JavaScript ArcGIS Online Map Viewer

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>

All Layers and Tables

Has Versioned Data: false

MaxRecordCount: 2000

Supported Query Formats: JSON

Supports Query Data Elements: true

Layers:

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: 8c70efc9175e41699bdb320abf5ec544

Copyright Text: NASA GSFC

Spatial Reference: 4326 (4326) LatestVCSWkid(0)

Initial Extent:

Full Extent:

Units: esriDecimalDegrees

Document Info:

Enable Z Defaults: false

Supports ApplyEdits With Global Ids: false

Support True Curves : true

Only Allow TrueCurve Updates By TrueCurveClients : true

Supports Return Service Edits Option : true

Supports Dynamic Layers: false

Child Resources: Info Query Data Elements Relationships SharedTemplates

Supported Operations: Query Query Contingent Values QueryDomains Append Extract Changes Get Estimates