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Service Description: Date of Image:
6/6/2022
Summary:
The NASA GSFC landslides team mapped landslides using the Semi-Automatic Landslide Detection (SALaD) system (https://doi.org/10.1016/j.enggeo.2021.106000; https://doi.org/10.1002/gdj3.145). SALaD uses object-based image analysis and machine learning to map landslides. The landslide areas are derived from PlanetScope imagery. This map should be used as a guidance to identify areas affected by landslides.
NOTE: This is a rapid response product. We have not done any form of manual corrections, added small or missing landslides or resolved amalgamation for this product to be research grade.
Suggested Use:
This map should be used as guidance to identify landslide affected areas. This is not a research grade product
Satellite/Sensor:
PlanetScope
Resolution:
3 meters
Credits:
NASA Landslides Team, Planet Team (2017). Planet Application Program Interface: In Space for Life on Earth. San Francisco, CA. https://api.planet.com
Esri REST Endpoint:
See URL Section on right side of page
WMS Endpoint:
Data Download:
https://maps.disasters.nasa.gov/download/gis_products/event_specific/2022/hurricane_agatha_2022/landslide_inventory/
landslide_inventory_salad_20220606
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Description: Date of Image:
6/6/2022
Summary:
The NASA GSFC landslides team mapped landslides using the Semi-Automatic Landslide Detection (SALaD) system (https://doi.org/10.1016/j.enggeo.2021.106000; https://doi.org/10.1002/gdj3.145). SALaD uses object-based image analysis and machine learning to map landslides. The landslide areas are derived from PlanetScope imagery. This map should be used as a guidance to identify areas affected by landslides.
NOTE: This is a rapid response product. We have not done any form of manual corrections, added small or missing landslides or resolved amalgamation for this product to be research grade.
Suggested Use:
This map should be used as guidance to identify landslide affected areas. This is not a research grade product
Satellite/Sensor:
PlanetScope
Resolution:
3 meters
Credits:
NASA Landslides Team, Planet Team (2017). Planet Application Program Interface: In Space for Life on Earth. San Francisco, CA. https://api.planet.com
Esri REST Endpoint:
See URL Section on right side of page
WMS Endpoint:
Data Download:
https://maps.disasters.nasa.gov/download/gis_products/event_specific/2022/hurricane_agatha_2022/landslide_inventory/
7e0c03caf6164bc9bef5906bc3e398f9
Copyright Text: NASA Disasters Program, Includes copyrighted material of Planet Labs PBC. All rights reserved.
Spatial Reference:
32614
(32614)
Single Fused Map Cache: false
Initial Extent:
XMin: 755978.0294424199
YMin: 1752828.2150522168
XMax: 793666.9798797377
YMax: 1776591.6525522168
Spatial Reference: 32614
(32614)
Full Extent:
XMin: 763205.0421770008
YMin: 1751193.226161417
XMax: 788823.2599833731
YMax: 1776811.432035049
Spatial Reference: 32614
(32614)
Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: .Landslide Inventory (SALaD) for Hurricane Agatha 2022
Author:
Comments: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-weight:bold;">Date of Image: </SPAN></P><P><SPAN>6/6/2022</SPAN></P><P><SPAN STYLE="font-weight:bold;">Summary: </SPAN></P><P><SPAN>The NASA GSFC landslides team mapped landslides using the Semi-Automatic Landslide Detection (SALaD) system (</SPAN><A href="https://doi.org:443/10.1016/j.enggeo.2021.106000" STYLE="text-decoration:underline;"><SPAN>https://doi.org/10.1016/j.enggeo.2021.106000</SPAN></A><SPAN>; </SPAN><A href="https://doi.org:443/10.1002/gdj3.145" STYLE="text-decoration:underline;"><SPAN>https://doi.org/10.1002/gdj3.145</SPAN></A><SPAN>). SALaD uses object-based image analysis and machine learning to map landslides. The landslide areas are derived from PlanetScope imagery. This map should be used as a guidance to identify areas affected by landslides.</SPAN></P><P><SPAN>NOTE: This is a rapid response product. We have not done any form of manual corrections, added small or missing landslides or resolved amalgamation for this product to be research grade.</SPAN></P><P><SPAN STYLE="font-weight:bold;">Suggested Use: </SPAN></P><P><SPAN>This map should be used as guidance to identify landslide affected areas. This is not a research grade product</SPAN></P><P><SPAN STYLE="font-weight:bold;">Satellite/Sensor:</SPAN></P><P><SPAN>PlanetScope</SPAN></P><P><SPAN STYLE="font-weight:bold;">Resolution:</SPAN></P><P><SPAN>3 meters</SPAN></P><P><SPAN STYLE="font-weight:bold;">Credits:</SPAN></P><P><SPAN>NASA Landslides Team, Planet Team (2017). Planet Application Program Interface: In Space for Life on Earth. San Francisco, CA. </SPAN><A href="https://api.planet.com:443/" STYLE="text-decoration:underline;"><SPAN>https://api.planet.com</SPAN></A></P><P><SPAN STYLE="font-weight:bold;">Esri REST Endpoint:</SPAN></P><P><SPAN>See URL Section on right side of page</SPAN></P><P><SPAN STYLE="font-weight:bold;">WMS Endpoint:</SPAN></P><P><SPAN STYLE="font-weight:bold;">Data Download:</SPAN></P><P><A href="https://maps.disasters.nasa.gov:443/download/gis_products/event_specific/2022/hurricane_agatha_2022/landslide_inventory/" STYLE="text-decoration:underline;"><SPAN>https://maps.disasters.nasa.gov/download/gis_products/event_specific/2022/hurricane_agatha_2022/landslide_inventory/</SPAN></A></P><P><SPAN /></P></DIV></DIV></DIV>
Subject: Landslide Inventory (SALaD) for Hurricane Agatha 2022
Category:
Keywords: NASA,NASA Disasters Program,Hurricane,Landslides,Tropical Cyclone,Agatha,Mexico
AntialiasingMode: None
TextAntialiasingMode: Force
Supports Dynamic Layers: true
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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
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