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texas_flood_202507/FloodedAdminAreas_Infrastructure_Experimental (MapServer)

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Service Description:

Date of Image(s)

Post-Event: July 9, 2025

Infrastructure data was extracted in early May 2025.

Date of Next Image

None planned

Summary

All analyses were based on UAVSAR Classified Images. The flooded areas are the results of a machine learning classification applied to UAVSAR data to identify open water flooding and inundation under tree canopy. Colored areas in the image show detected flooding, where the color shows the type of landcover which was flooded. Open water was not included. More information can be found here: https://maps.disasters.nasa.gov/arcgis/home/item.html?id=9e27403324db46ffacd8cf28018387a0

The flood imagery was used to identify administrative areas, structures, and critical infrastructure that may be a risk of flooding after an event.

Suggested Use

Classified Images:

Blue = Open Water

Red = Flooded Developed

Green = Flooded Vegetation

Orange = Flooded Crop

Processed layer - Areas of Interest: Each polygon in the administrative boundary is intersected with the vectorized flood fraction product. The symbolized output indicates the percentage of area as a fraction of total administrative boundary area that intersects with a pixel that is marked as flooded.

Processed layer - Infrastructure: A 10m buffer (equal to the flood model resolution) was created around each point and intersected with the vectorized flood product. The symbolized output indicates if the buffer corresponded with a flooded pixel, serving as a potential signal for exposed infrastructure. Unexposed infrastructure in the AOI is retained.

Processed layer - USA Structures: Each structure was intersected with the vectorized flood fraction product. The symbolized output indicates if the buffer corresponded with a flooded pixel, serving as a potential signal for exposed infrastructure. Unexposed infrastructure in the AOI is retained.

Satellite/Sensor:

UAVSAR airborne L-band synthetic aperture radar (SAR) aboard a NASA Gulfstream C-20A jet.

Resolution:

375 meters

Credits:

Flood Product:

UAVSAR data courtesy of NASA/JPL-Caltech

Added Value and Infrastructure Information:

Geospatial processing over infrastructure and administrative areas performed by the DRCO (drcs@nasa.gov).

Infrastructure data was gathered from HIFLD Open, with original data sources including the U.S. Army Corps of Engineers (National Inventory of Dams), Federal Highway Administration (Roads, the National Bridge Inventory), and various state and local sources (hospitals).

Structure data was gathered from the Federal Emergency Management Agency (FEMA) Structures database.

Administrative boundaries were collected from the U.S. Census Bureau's TIGER/Line Shapefiles.

Esri REST Endpoint:

See URL section on right side of page.



Map Name: FloodedAdminAreas_Infrastructure_Experimental

Legend

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Dynamic Legend

Dynamic All Layers

Layers: Description: Date of Image(s)Post-Event: July 9, 2025Infrastructure data was extracted in early May 2025.Date of Next Image None plannedSummaryAll analyses were based on UAVSAR Classified Images. The flooded areas are the results of a machine learning classification applied to UAVSAR data to identify open water flooding and inundation under tree canopy. Colored areas in the image show detected flooding, where the color shows the type of landcover which was flooded. Open water was not included. More information can be found here: https://maps.disasters.nasa.gov/arcgis/home/item.html?id=9e27403324db46ffacd8cf28018387a0The flood imagery was used to identify administrative areas, structures, and critical infrastructure that may be a risk of flooding after an event.Suggested UseClassified Images:Blue = Open WaterRed = Flooded DevelopedGreen = Flooded VegetationOrange = Flooded CropProcessed layer - Areas of Interest: Each polygon in the administrative boundary is intersected with the vectorized flood fraction product. The symbolized output indicates the percentage of area as a fraction of total administrative boundary area that intersects with a pixel that is marked as flooded.Processed layer - Infrastructure: A 10m buffer (equal to the flood model resolution) was created around each point and intersected with the vectorized flood product. The symbolized output indicates if the buffer corresponded with a flooded pixel, serving as a potential signal for exposed infrastructure. Unexposed infrastructure in the AOI is retained.Processed layer - USA Structures: Each structure was intersected with the vectorized flood fraction product. The symbolized output indicates if the buffer corresponded with a flooded pixel, serving as a potential signal for exposed infrastructure. Unexposed infrastructure in the AOI is retained.Satellite/Sensor:UAVSAR airborne L-band synthetic aperture radar (SAR) aboard a NASA Gulfstream C-20A jet.Resolution:375 metersCredits:Flood Product: UAVSAR data courtesy of NASA/JPL-CaltechAdded Value and Infrastructure Information:Geospatial processing over infrastructure and administrative areas performed by the DRCO (drcs@nasa.gov).Infrastructure data was gathered from HIFLD Open, with original data sources including the U.S. Army Corps of Engineers (National Inventory of Dams), Federal Highway Administration (Roads, the National Bridge Inventory), and various state and local sources (hospitals). Structure data was gathered from the Federal Emergency Management Agency (FEMA) Structures database.Administrative boundaries were collected from the U.S. Census Bureau's TIGER/Line Shapefiles.Esri REST Endpoint:See URL section on right side of page.

Service Item Id: f5289efa4f0a4360ab4d0b817417c681

Copyright Text: NASA/JPL-Caltech UAVSAR Team; USACE; FEMA; FHWA; ORNL; HIFLD. Processing by NASA Disasters.

Spatial Reference: 4269  (4269)


Single Fused Map Cache: false

Initial Extent: Full Extent: Units: esriDecimalDegrees

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

Document Info: 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

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