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Service Description:  Dates of Images:
Post-Event: February 17, 2025; February 19, 2025
Pre-Event: February 3, 2025
Date of Next Image:
Unknown
Summary:
Shortwave Infrared: The Shortwave Infrared RGB provides a false composite look at the surface. This RGB uses a shortwave, the near-infrared, and red channels from the instrument.
Color Infrared: The Color Infrared composite is created using the near-infrared, red, and green channels, allowing for the ability to see areas impacted from the fires. The near-infrared gives the ability to see through thin clouds. Healthy vegetation is shown as red, water is in blue.
True Color: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument.
Suggested Use:
Natural Color: areas of water will appear blue, healthy green vegetation will appear as a bright green, urban areas in various shades of magenta.
Color Infrared: depicts healthy vegetation as red, water as blue. Some minor atmospheric corrections have occurred.
True Color: provides a product of how the surface would look to the naked eye from space. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred.
Satellite/Sensor:
Landsat 9 Operational Land Imager (OLI)
Resolution:
30 meters
Credits:
NASA/MSFC, USGS
Esri REST Endpoint:
See URL section on right side of page
WMS Endpoint:
https://maps.disasters.nasa.gov/ags03/services/ohio_flooding_202502/landsat/MapServer/WMSServer
Data Download:
https://maps.disasters.nasa.gov/download/gis_products/event_specific/2025/ohio_valley_flood_202502/landsat/
 landsat
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Dynamic All Layers
Layers: 
Description:  Dates of Images:Post-Event: February 17, 2025; February 19, 2025Pre-Event: February 3, 2025Date of Next Image:UnknownSummary:Shortwave Infrared: The Shortwave Infrared RGB provides a false composite look at the surface. This RGB uses a shortwave, the near-infrared, and red channels from the instrument.Color Infrared: The Color Infrared composite is created using the near-infrared, red, and green channels, allowing for the ability to see areas impacted from the fires. The near-infrared gives the ability to see through thin clouds. Healthy vegetation is shown as red, water is in blue.True Color: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument.Suggested Use:Natural Color: areas of water will appear blue, healthy green vegetation will appear as a bright green, urban areas in various shades of magenta.Color Infrared: depicts healthy vegetation as red, water as blue. Some minor atmospheric corrections have occurred.True Color: provides a product of how the surface would look to the naked eye from space. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred.Satellite/Sensor:Landsat 9 Operational Land Imager (OLI)Resolution:30 metersCredits:NASA/MSFC, USGSEsri REST Endpoint:See URL section on right side of pageWMS Endpoint:https://maps.disasters.nasa.gov/ags03/services/ohio_flooding_202502/landsat/MapServer/WMSServerData Download:https://maps.disasters.nasa.gov/download/gis_products/event_specific/2025/ohio_valley_flood_202502/landsat/
Service Item Id:  6bec8431893c40dda6298e9b1db3aab4
Copyright Text:  NASA/MSFC, USGS 
Spatial Reference: 
32615
 (32615)
Single Fused Map Cache:  false
Initial Extent: 
XMin: 1014658.3677537055
YMin: 4192645.999222484
XMax: 1166860.6969239162
YMax: 4312086.132113683
Spatial Reference: 32615
 (32615)
Full Extent:
XMin: 611685
YMin: 3716385
XMax: 1226670.1754719042
YMax: 4452916.397145209
Spatial Reference: 32615
 (32615)
Units: esriMeters
Supported Image Format Types:  PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info: 
Title: Landsat 9 Imagery for the Ohio Valley Flooding February 2025
Author: 
Comments: Dates of Images:Post-Event: February 17, 2025; February 19, 2025Pre-Event: Date of Next Image:UnknownSummary:Natural Color: The Natural Color RGB provides a false composite look at the surface. This RGB uses a shortwave, the near-infrared, and red channels from the instrument.Color Infrared: The Color Infrared composite is created using the near-infrared, red, and green channels, allowing for the ability to see areas impacted from the fires. The near-infrared gives the ability to see through thin clouds. Healthy vegetation is shown as red, water is in blue.True Color: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument.Suggested Use:Natural Color: areas of water will appear blue, healthy green vegetation will appear as a bright green, urban areas in various shades of magenta.Color Infrared: depicts healthy vegetation as red, water as blue. Some minor atmospheric corrections have occurred.True Color: provides a product of how the surface would look to the naked eye from space. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred.Satellite/Sensor:Landsat 9 Operational Land Imager (OLI)Resolution:30 metersCredits:NASA/MSFC, USGSEsri REST Endpoint:See URL section on right side of pageData Download:https://maps.disasters.nasa.gov/download/gis_products/event_specific/2025/ohio_valley_flood_202502/landsat/
Subject: Landsat 9 Imagery for the Ohio Valley Flooding February 2025.
Category: 
Keywords: NASA,NASA Disasters Program,Landsat,Landsat 9,United States,Ohio,Kentucky,Tennessee,Severe Weather,Flooding,Cyclone
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
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