View In:
ArcGIS JavaScript
ArcGIS Online Map Viewer
ArcGIS Earth
ArcMap
ArcGIS Pro
View Footprint In:
ArcGIS Online Map Viewer
Service Description: Date of Image:
9/28/2024, 10/3/2024
Date of Next Image:
Unknown
Summary:
NASA used a Sentinel-1 SAR backscatter change approach developed in GEE (Handwerger et al., 2022) to detect areas with high landslide density. This approach detects potential landslides by calculating the change in the backscatter coefficient before and after the triggering event using the log ratio approach. False positives such as backscatter change due to flooding, agriculture, and more, are removed by using threshold-based masks made from the topographic slope from the 1 arcsec (∼30 m) resolution NASADEM (NASA JPL, 2020). Using stacks of SAR data reduces noise, and furthermore, the pre-event stack provides backscatter data that is more representative of the pre-event ground surface properties. Finally, to detect landslide areas, the backscatter change raster was thresholded using the 99th percentile to highlight strong signals, and the heatmap was calculated.
Pre-event time frame: 2024-01-10 to 2024-09-26
Post-event time frame: 2024-09-28, 2024-10-03
This map should be used as a guidance to identify areas likely affected by landslides. This is a rapid response product. We have not done any form of manual corrections to remove false positives.
Suggested Use:
The red and yellow areas indicate potential zones of dense landsliding.
Disclaimer: not verified in field and optical imagery has clouds preventing verification.
Satellite/Sensor:
Copernicus Sentinel-1 Synthetic Aperture Radar (SAR)
Resolution:
10 meters
Credits:
NASA GSFC Landslides Team, Copernicus Sentinel-1 data
Handwerger AL, Huang M-H, Jones SY, Amatya P, Kerner HR, Kirschbaum DB. 2022. Generating landslide density heatmaps for rapid detection using open-access satellite radar data in Google Earth Engine. Nat. Hazards Earth Syst. Sci. Copernicus Publications, 22(3): 753–773. https://doi.org/10.5194/nhess-22-753-2022.
Esri REST Endpoint:
See URL section on right side of page
WMS Endpoint:
https://maps.disasters.nasa.gov/ags03/services/hurricane_helene_2024/Landslide_Proxy_Heat_Map_S1_on_Sept_28_2024_for_Hurricane_Helene/MapServer/WMSServer
Data Download:
N/A
Landslide Proxy Heat Map Sentinel 1 for Hurricane Helene
Legend
All Layers and Tables
Dynamic Legend
Dynamic All Layers
Layers:
Description: Date of Image:9/28/2024, 10/3/2024Date of Next Image:UnknownSummary:NASA used a Sentinel-1 SAR backscatter change approach developed in GEE (Handwerger et al., 2022) to detect areas with high landslide density. This approach detects potential landslides by calculating the change in the backscatter coefficient before and after the triggering event using the log ratio approach. False positives such as backscatter change due to flooding, agriculture, and more, are removed by using threshold-based masks made from the topographic slope from the 1 arcsec (∼30 m) resolution NASADEM (NASA JPL, 2020). Using stacks of SAR data reduces noise, and furthermore, the pre-event stack provides backscatter data that is more representative of the pre-event ground surface properties. Finally, to detect landslide areas, the backscatter change raster was thresholded using the 99th percentile to highlight strong signals, and the heatmap was calculated.Pre-event time frame: 2024-01-10 to 2024-09-26Post-event time frame: 2024-09-28, 2024-10-03This map should be used as a guidance to identify areas likely affected by landslides. This is a rapid response product. We have not done any form of manual corrections to remove false positives.Suggested Use:The red and yellow areas indicate potential zones of dense landsliding.Disclaimer: not verified in field and optical imagery has clouds preventing verification.Satellite/Sensor:Copernicus Sentinel-1 Synthetic Aperture Radar (SAR)Resolution:10 metersCredits:NASA GSFC Landslides Team, Copernicus Sentinel-1 dataHandwerger AL, Huang M-H, Jones SY, Amatya P, Kerner HR, Kirschbaum DB. 2022. Generating landslide density heatmaps for rapid detection using open-access satellite radar data in Google Earth Engine. Nat. Hazards Earth Syst. Sci. Copernicus Publications, 22(3): 753–773. https://doi.org/10.5194/nhess-22-753-2022.Esri REST Endpoint:See URL section on right side of pageWMS Endpoint:https://maps.disasters.nasa.gov/ags03/services/hurricane_helene_2024/Landslide_Proxy_Heat_Map_S1_on_Sept_28_2024_for_Hurricane_Helene/MapServer/WMSServerData Download:N/A
Service Item Id: 6863858e453e4ae1b1a3b7e8a5f5abe4
Copyright Text: NASA GSFC Landslides Team, Copernicus, ESA
Spatial Reference:
32617
(32617)
Single Fused Map Cache: false
Initial Extent:
XMin: 341311.9938287167
YMin: 3949440.6690756897
XMax: 516301.25457370235
YMax: 4101924.7493049162
Spatial Reference: 32617
(32617)
Full Extent:
XMin: 310187.3601
YMin: 3870056.1093
XMax: 574997.2106
YMax: 4114742.8292
Spatial Reference: 32617
(32617)
Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: Landslide Proxy Heat Map (Copernicus Sentinel-1) on 9/28/2024 for Hurricane Helene 2024
Author:
Comments: Date of Image:9/28/2024Date of Next Image:UnknownSummary:NASA used a Sentinel-1 SAR backscatter change approach developed in GEE (Handwerger et al., 2022) to detect areas with high landslide density. This approach detects potential landslides by calculating the change in the backscatter coefficient before and after the triggering event using the log ratio approach. False positives such as backscatter change due to flooding, agriculture, and more, are removed by using threshold-based masks made from the topographic slope from the 1 arcsec (∼30 m) resolution NASADEM (NASA JPL, 2020). Using stacks of SAR data reduces noise, and furthermore, the pre-event stack provides backscatter data that is more representative of the pre-event ground surface properties. Finally, to detect landslide areas, the backscatter change raster was thresholded using the 99th percentile to highlight strong signals, and the heatmap was calculated.This map should be used as a guidance to identify areas likely affected by landslides. This is a rapid response product. We have not done any form of manual corrections to remove false positives.Suggested Use:The red and yellow areas indicate potential zones of dense landsliding.Disclaimer: not verified in field and optical imagery has clouds preventing verification.Satellite/Sensor:Copernicus Sentinel-1 Synthetic Aperture Radar (SAR)Resolution:10 metersCredits:NASA GSFC Landslides Team, Copernicus Sentinel-1 dataHandwerger AL, Huang M-H, Jones SY, Amatya P, Kerner HR, Kirschbaum DB. 2022. Generating landslide density heatmaps for rapid detection using open-access satellite radar data in Google Earth Engine. Nat. Hazards Earth Syst. Sci. Copernicus Publications, 22(3): 753–773. https://doi.org/10.5194/nhess-22-753-2022.Esri REST Endpoint:See URL section on right side of pageWMS Endpoint:Data Download:N/A
Subject: Landslide Proxy Heat Map (Copernicus Sentinel-1) on 9/28/2024 for Hurricane Helene 2024
Category:
Keywords: NASA,NASA Disasters Program,Hurricane Helene,Landslides,Sentinel-1,ESA,Copernicus
AntialiasingMode: Fast
TextAntialiasingMode: Force
Supports Dynamic Layers: true
MaxRecordCount: 2000
MaxImageHeight: 4096
MaxImageWidth: 4096
Supported Query Formats: JSON, geoJSON, PBF
Supports Query Data Elements: true
Min Scale: 0
Max Scale: 0
Supports Datum Transformation: true
Child Resources:
Info
Dynamic Layer
Supported Operations:
Export Map
Identify
QueryLegends
QueryDomains
Find
Return Updates