View In:
ArcGIS JavaScript
ArcGIS Online Map Viewer
ArcGIS Earth
Service Description: Dates of Images:
Post-Event: 1/14/2025
Pre-Event: 1/6/2025
Date of Next Image:
Unknown
Summary:
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 meters
Credits:
NASA/MSFC, USGS
Esri REST Endpoint:
See URL section on right side of page
DISASTERS_CA_WILDFIRES_202501/202501_landsat_gl
Description: Dates of Images:
Post-Event: 1/14/2025
Pre-Event: 1/6/2025
Date of Next Image:
Unknown
Summary:
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 meters
Credits:
NASA/MSFC, USGS
Esri REST Endpoint:
See URL section on right side of page
WMS Endpoint:
https://gis.earthdata.nasa.gov/gis05/services/DISASTERS_CA_WILDFIRES_202501/LANDSAT/ImageServer/WMSServer
false
Extent:
XMin: -119.63341365199994
YMin: 33.51979841682326
XMax: -117.05354198753709
YMax: 35.68141448500006
Spatial Reference: 4326
(4326)
LatestVCSWkid(0)
Initial Extent:
XMin: -119.63341365199994
YMin: 33.51979841682326
XMax: -117.05354198753709
YMax: 35.68141448500006
Spatial Reference: 4326
(4326)
LatestVCSWkid(0)
Full Extent:
XMin: -119.63341365199994
YMin: 33.51979841682326
XMax: -117.05354198753709
YMax: 35.68141448500006
Spatial Reference: 4326
(4326)
LatestVCSWkid(0)
Pixel Size X: 2.694945852358568E-4
Pixel Size Y: 2.694945852358565E-4
Band Count: 3
Pixel Type: U8
RasterFunction Infos: {"rasterFunctionInfos": [
{
"name": "None",
"description": "Make a Raster or Raster Dataset into a Function Raster Dataset.",
"help": ""
},
{
"name": "None",
"description": "Make a Raster or Raster Dataset into a Function Raster Dataset.",
"help": ""
},
{
"name": "NBR",
"description": "Normalized Burn Ratio",
"help": ""
}
]}
Mensuration Capabilities: Basic
Inspection Capabilities:
Has Histograms: false
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
Min Scale: 0
Max Scale: 0
Copyright Text: NASA/MSFC, USGS
Service Data Type: esriImageServiceDataTypeRGB
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
)
-
Date
(
type: esriFieldTypeDateOnly, alias: Date
)
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