View In:
ArcGIS JavaScript
ArcGIS Online Map Viewer
ArcGIS Earth
Service Description: Date of Image(s):
Post-Event: April 7,2025; April 8, 2025
Date of Next Image:
Unknown
Summary:
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.
Normalized Differential Water Index (NDWI) maps are produced by converting pixel values to NDWI = (green – NIR)/(green + NIR). Higher Planet scene numbers are layered over lower scene numbers. Normalized Difference Water Index (MNDWI) provides a different view of the Earth's surface combining different bands to make water bodies more obvious. This index can be used to identify flooded areas as well as heavily saturated areas.
Suggested Use:
NDVI: NDVI is commonly used to distinguish healthy/active vegetation (1) from unhealthy/dormant vegetation (-1).
NDWI: Thresholding of NDVI is one technique used to distinguish surfaces covered by water (-1) from surfaces not covered by water (1).
Satellite/Sensor:
PlanetScope. This product includes copyrighted material of Planet Labs PBC. All rights reserved.
Resolution:
3 meters
Credits:
NASA Disasters Program, NASA Marshall Space Flight Center (MSFC)
PlanetScope: Includes copyrighted material of Planet Labs PBC. All rights reserved.
Service URL:
WMS Endpoint:
Name: DISASTERS_202504_SEVEREWX_SOUTHEASTUS/2505_planet_ndvi_mndwi
Description: Date of Image(s):
Post-Event: April 7,2025; April 8, 2025
Date of Next Image:
Unknown
Summary:
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.
Normalized Differential Water Index (NDWI) maps are produced by converting pixel values to NDWI = (green – NIR)/(green + NIR). Higher Planet scene numbers are layered over lower scene numbers. Normalized Difference Water Index (MNDWI) provides a different view of the Earth's surface combining different bands to make water bodies more obvious. This index can be used to identify flooded areas as well as heavily saturated areas.
Suggested Use:
NDVI: NDVI is commonly used to distinguish healthy/active vegetation (1) from unhealthy/dormant vegetation (-1).
NDWI: Thresholding of NDVI is one technique used to distinguish surfaces covered by water (-1) from surfaces not covered by water (1).
Satellite/Sensor:
PlanetScope. This product includes copyrighted material of Planet Labs PBC. All rights reserved.
Resolution:
3 meters
Credits:
NASA Disasters Program, NASA Marshall Space Flight Center (MSFC)
PlanetScope: Includes copyrighted material of Planet Labs PBC. All rights reserved.
Service URL:
WMS Endpoint:
Single Fused Map Cache: false
Extent:
XMin: -93.13358277299994
YMin: 33.381498661882745
XMax: -84.3644715145519
YMax: 39.347461992000035
Spatial Reference: 4326
(4326)
LatestVCSWkid(0)
Initial Extent:
XMin: -93.13358277299994
YMin: 33.381498661882745
XMax: -84.3644715145519
YMax: 39.347461992000035
Spatial Reference: 4326
(4326)
LatestVCSWkid(0)
Full Extent:
XMin: -93.13358277299994
YMin: 33.381498661882745
XMax: -84.3644715145519
YMax: 39.347461992000035
Spatial Reference: 4326
(4326)
LatestVCSWkid(0)
Pixel Size X: 2.6949458523585622E-5
Pixel Size Y: 2.694945852358562E-5
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
Copyright Text: NASA Disasters Program, Dartmouth Flood Observatory at the University of Colorado, NASA MSFC, NASA GSFC. NASA-GSFC, Frederick Policelli. PlanetScope: Includes copyrighted material of Planet Labs PBC. All rights reserved.
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