View In:
ArcGIS JavaScript
ArcGIS Online Map Viewer
ArcGIS Earth
Service Description: Dates of Images:
Post-Event: July 10, 2025; July 8, 2025
Pre-Event: June 22, 2025; June 18, 2025; June 17, 2025
Date of Next Image:
Unknown
Summary:
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.
The Color Infrared composite is created using the near-infrared, red, and green channels, allowing for the ability to see areas impacted by the fires. The near-infrared gives the ability to see through thin clouds. Healthy vegetation is shown as red, water is in blue.
Suggested Use:
The True Color RGB 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.
A Color Infrared composite depicts healthy vegetation as red, water as blue. Some minor atmospheric corrections have occurred.
Satellite/Sensor
MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites
Resolution:
10 meters
Credits:
NASA/MSFC, USGS, ESA Copernicus
Esri REST Endpoint:
See URL section on right side of page
WMS Endpoint:
https://gis.earthdata.nasa.gov/gis05/services/DISASTERS_202507_FLOOD_TX/SENTINEL2/ImageServer/WMSServer
Data Download:
https://maps.disasters.nasa.gov/download/gis_products/event_specific/2025/texas_flood_202507/sentinel/
DISASTERS_202507_FLOOD_TX/202507_sentinel2
Description: Dates of Images:
Post-Event: July 10, 2025; July 8, 2025
Pre-Event: June 22, 2025; June 18, 2025; June 17, 2025
Date of Next Image:
Unknown
Summary:
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.
The Color Infrared composite is created using the near-infrared, red, and green channels, allowing for the ability to see areas impacted by the fires. The near-infrared gives the ability to see through thin clouds. Healthy vegetation is shown as red, water is in blue.
Suggested Use:
The True Color RGB 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.
A Color Infrared composite depicts healthy vegetation as red, water as blue. Some minor atmospheric corrections have occurred.
Satellite/Sensor
MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites
Resolution:
10 meters
Credits:
NASA/MSFC, USGS, ESA Copernicus
Esri REST Endpoint:
See URL section on right side of page
WMS Endpoint:
https://gis.earthdata.nasa.gov/gis05/services/DISASTERS_202507_FLOOD_TX/SENTINEL2/ImageServer/WMSServer
Data Download:
https://maps.disasters.nasa.gov/download/gis_products/event_specific/2025/texas_flood_202507/sentinel/
false
Extent:
XMin: -1.16885702434E7
YMin: 3353045.3905000016
XMax: -1.07744202434E7
YMax: 3834055.3905000016
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Initial Extent:
XMin: -1.16885702434E7
YMin: 3353045.3905000016
XMax: -1.07744202434E7
YMax: 3834055.3905000016
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Full Extent:
XMin: -1.16885702434E7
YMin: 3353045.3905000016
XMax: -1.07744202434E7
YMax: 3834055.3905000016
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Pixel Size X: 10.0
Pixel Size Y: 10.0
Band Count: 1
Pixel Type: F32
RasterFunction Infos: {"rasterFunctionInfos": [{
"name": "None",
"description": "",
"help": ""
}]}
Mensuration Capabilities: Basic
Inspection Capabilities:
Has Histograms: false
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
Min Scale: 0
Max Scale: 0
Resampling: false
Copyright Text: NASA/MSFC, USGS, ESA Copernicus
Service Data Type: esriImageServiceDataTypeGeneric
Min Values: N/A
Max Values: N/A
Mean Values: N/A
Standard Deviation Values: N/A
Object ID Field: OBJECTID
Fields:
-
OBJECTID
(
type: esriFieldTypeOID, alias: OBJECTID
)
-
Shape
(
type: esriFieldTypeGeometry, alias: Shape
)
-
Name
(
type: esriFieldTypeString, alias: Name, length: 200
)
-
MinPS
(
type: esriFieldTypeDouble, alias: MinPS
)
-
MaxPS
(
type: esriFieldTypeDouble, alias: MaxPS
)
-
LowPS
(
type: esriFieldTypeDouble, alias: LowPS
)
-
HighPS
(
type: esriFieldTypeDouble, alias: HighPS
)
-
Category
(
type: esriFieldTypeInteger, alias: Category
, Coded Values:
[0: Unknown]
, [1: Primary]
, [2: Overview]
, ...6 more...
)
-
Tag
(
type: esriFieldTypeString, alias: Tag, length: 100
)
-
GroupName
(
type: esriFieldTypeString, alias: GroupName, length: 100
)
-
ProductName
(
type: esriFieldTypeString, alias: ProductName, length: 100
)
-
CenterX
(
type: esriFieldTypeDouble, alias: CenterX
)
-
CenterY
(
type: esriFieldTypeDouble, alias: CenterY
)
-
ZOrder
(
type: esriFieldTypeInteger, alias: ZOrder
)
-
Date
(
type: esriFieldTypeDateOnly, alias: Date
)
-
Shape_Length
(
type: esriFieldTypeDouble, alias: Shape_Length
)
-
Shape_Area
(
type: esriFieldTypeDouble, alias: Shape_Area
)
Default Mosaic Method: Northwest
Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None
SortField:
SortValue: null
Mosaic Operator: First
Default Compression Quality: 75
Default Resampling Method: Bilinear
Max Record Count: 1000
Max Image Height: 4100
Max Image Width: 15000
Max Download Image Count: 20
Max Mosaic Image Count: 20
Allow Raster Function: true
Allow Copy: true
Allow Analysis: true
Allow Compute TiePoints: false
Supports Statistics: true
Supports Advanced Queries: true
Use StandardizedQueries: true
Raster Type Infos:
Name: Raster Dataset
Description: Supports all ArcGIS Raster Datasets
Help:
Has Raster Attribute Table: false
Edit Fields Info: null
Ownership Based AccessControl For Rasters: null
Child Resources:
Info
Statistics
Key Properties
Legend
Raster Function Infos
Supported Operations:
Export Image
Query
Identify
Measure
Compute Histograms
Compute Statistics Histograms
Get Samples
Compute Class Statistics
Query GPS Info
Find Images
Image to Map
Map to Image
Measure from Image
Image to Map Multiray
Query Boundary
Compute Pixel Location
Compute Angles
Validate
Project