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Service Description: Date of Images:
11/10/2020
Date of Next Image:
Unknown
Summary:
The NASA GSFC landslides team mapped landslides using Semi-Automatic Landslide Detection (SALaD) system. SALaD uses object-based image analysis and machine learning to map landslides. The landslide areas were derived from Planet imagery of 11/10/2020. This map should be used as a guidance to identify areas affected by landslides. 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:
Optical Imagery from 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/2020/hurricanes_eta_iota/landslide_inventory/Honduras/
Map Name: landslides_honduras_hurricane_eta
Legend
All Layers and Tables
Dynamic Legend
Dynamic All Layers
Layers:
Description:
Service Item Id: abc6b077291f40c8a1e75703a9ba1202
Copyright Text: NASA Landslides Team, Planet Team
Spatial Reference:
32616
(32616)
Single Fused Map Cache: false
Initial Extent:
XMin: 555638.1453328064
YMin: 1691843.5073095001
XMax: 578589.8546671936
YMax: 1705074.4926904999
Spatial Reference: 32616
(32616)
Full Extent:
XMin: 559038
YMin: 1694229
XMax: 575190
YMax: 1702689
Spatial Reference: 32616
(32616)
Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: landslides_honduras_hurricane_eta
Author:
Comments: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-weight:bold;">Date of Images:</SPAN></P><P><SPAN>11/10/2020</SPAN></P><P><SPAN STYLE="font-weight:bold;">Date of Next Image: </SPAN></P><P><SPAN>Unknown</SPAN></P><P><SPAN STYLE="font-weight:bold;">Summary:</SPAN></P><P><SPAN>The NASA GSFC landslides team mapped landslides using Semi-Automatic Landslide Detection (SALaD) system. SALaD uses object-based image analysis and machine learning to map landslides. The landslide areas were derived from Planet imagery of 11/10/2020. This map should be used as a guidance to identify areas affected by landslides. 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>Optical Imagery from 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" 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/2020/hurricanes_eta_iota/landslide_inventory/Honduras/" STYLE="text-decoration:underline;"><SPAN>https://maps.disasters.nasa.gov/download/gis_products/event_specific/2020/hurricanes_eta_iota/landslide_inventory/Honduras/</SPAN></A></P><P><SPAN /></P></DIV></DIV></DIV>
Subject: Landslide Inventory (SALaD) in Honduras for Hurricane Eta 2020
Category:
Keywords: NASA,NASA Disasters Program,Hurricane Eta,Eta,Hurricane,Tropical Cyclone,Landslides,Planet,Honduras
AntialiasingMode: None
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:
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