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ArcGIS Online Map Viewer
ArcGIS Earth
Service Description: Date(s) of Images:
Post-Event: 5/21/2026
Summary:
Satellogic’s operates a commercial constellation of satellites and sensors that offers 4 band (R,G, B and NIR) acquisitions.
Normalized Differential Vegetation Index (NDVI) maps are produced by converting pixel values to NDVI = (Red – NIR)/(Red + NIR), NIR indicates the near infrared band. The dynamically generated Normalized Difference Vegetation Index (NDVI) layer is an index for quantifying green vegetation. It reflects the state of vegetation health based on how vegetation reflects light at certain wavelengths.
Suggested Use:
NDVI: Dark green colors are areas with a lot of green leaf growth which indicates the presence of chlorophyll. Chlorophyll reflects more infrared light and less visible light. Areas with some green leaf growth are in light greens, and areas with little to no vegetation growth are even lighter greens.
NDVI change: Commonly used to distinguish healthy/active vegetation (positive values) from potentially unhealthy/impacted vegetation (negative values).
Resolution:
0.5 m to 1 m depending on generation of sensor used and viewing angle.
Credits:
NASA Disasters Program, Satellogic. For derived products: “Includes copyrighted material of Satellogic. All rights reserved.” This work utilized data made available through the NASA Commercial Satellite Data Acquisition (CSDA) program."
DISASTERS_202605_FIRE_CA/202609_satellogic_ndvi
Description: Date(s) of Images:
Post-Event: 5/21/2026
Summary:
Satellogic’s operates a commercial constellation of satellites and sensors that offers 4 band (R,G, B and NIR) acquisitions.
Normalized Differential Vegetation Index (NDVI) maps are produced by converting pixel values to NDVI = (Red – NIR)/(Red + NIR), NIR indicates the near infrared band. The dynamically generated Normalized Difference Vegetation Index (NDVI) layer is an index for quantifying green vegetation. It reflects the state of vegetation health based on how vegetation reflects light at certain wavelengths.
Suggested Use:
NDVI: Dark green colors are areas with a lot of green leaf growth which indicates the presence of chlorophyll. Chlorophyll reflects more infrared light and less visible light. Areas with some green leaf growth are in light greens, and areas with little to no vegetation growth are even lighter greens.
NDVI change: Commonly used to distinguish healthy/active vegetation (positive values) from potentially unhealthy/impacted vegetation (negative values).
Resolution:
0.5 m to 1 m depending on generation of sensor used and viewing angle.
Credits:
NASA Disasters Program, Satellogic. For derived products: “Includes copyrighted material of Satellogic. All rights reserved.” This work utilized data made available through the NASA Commercial Satellite Data Acquisition (CSDA) program."
false
Extent:
XMin: -1.33696328466E7
YMin: 4016350.8133046613
XMax: -1.335477319671315E7
YMax: 4031280.451899998
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Initial Extent:
XMin: -1.33696328466E7
YMin: 4016350.8133046613
XMax: -1.335477319671315E7
YMax: 4031280.451899998
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Full Extent:
XMin: -1.33696328466E7
YMin: 4016350.8133046613
XMax: -1.335477319671315E7
YMax: 4031280.451899998
Spatial Reference: 102100
(3857)
LatestVCSWkid(0)
Pixel Size X: 0.551092192807086
Pixel Size Y: 0.5510921928070792
Band Count: 1
Pixel Type: F32
RasterFunction Infos: {"rasterFunctionInfos": [
{
"name": "ndvi_sinlaku",
"description": "1 green 0 white",
"help": ""
},
{
"name": "None",
"description": "Make a Raster or Raster Dataset into a Function Raster Dataset.",
"help": ""
}
]}
Mensuration Capabilities: None
Inspection Capabilities:
Has Histograms: true
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
Min Scale: 0
Max Scale: 0
Copyright Text: NASA Disasters Program, Satellogic. For derived products: “Includes copyrighted material of Satellogic. All rights reserved.” This work utilized data made available through the NASA Commercial Satellite Data Acquisition (CSDA) program."
Service Data Type: esriImageServiceDataTypeGeneric
Min Values: -0.24002836644649506
Max Values: 0.5733383893966675
Mean Values: 0.03774757425857396
Standard Deviation Values: 0.07942540245568508
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
)
-
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
Histograms
Statistics
Key Properties
Legend
Raster Function Infos
Supported Operations:
Export Image
Query
Identify
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