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DISASTERS_202507_FLOOD_TX/202507_ndvi_planet (ImageServer)

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Service Description:

Date of Image(s):

Post-Event: July 8,2025; July 9, 2025; July 10, 2025; July 31, 2025; August 3, 2025

Pre-Event: June 2, 2025; June 16, 2025; June 17, 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.

NDVI change was created by subtracting the cloud-masked post-event NDVI from the cloud-masked pre-event NDVI to show areas of potentially impacted vegetation as negative values (darker shades) and healthy/unimpacted vegetation in positive values (lighter shades). NDVI change can give insights to impacts from an event (like the scouring of vegetation from the riverbeds) but can also show changes in unrelated areas like the clearing of agriculture fields.

This layer is a binary NDVI change polygon (threshold of areas where NDVI decreased by -0.25 or more) for July 8 and 9 as compared to Pre-event imagery on June 17.

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).

Gaps in the dataset indicate clouds in the Planet imagery used to create this product.

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.

Esri REST Endpoint:

See URL section on right side of page

WMS Endpoint:

https://maps.disasters.nasa.gov/ags03/services/texas_flood_202507/planet_binaryNDVI/MapServer/WMSServer

Data Download:

https://maps.disasters.nasa.gov/download/gis_products/event_specific/2025/texas_flood_202507/NDVIchange/



Name: DISASTERS_202507_FLOOD_TX/202507_ndvi_planet

Description:

Date of Image(s):

Post-Event: July 8,2025; July 9, 2025; July 10, 2025; July 31, 2025; August 3, 2025

Pre-Event: June 2, 2025; June 16, 2025; June 17, 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.

NDVI change was created by subtracting the cloud-masked post-event NDVI from the cloud-masked pre-event NDVI to show areas of potentially impacted vegetation as negative values (darker shades) and healthy/unimpacted vegetation in positive values (lighter shades). NDVI change can give insights to impacts from an event (like the scouring of vegetation from the riverbeds) but can also show changes in unrelated areas like the clearing of agriculture fields.

This layer is a binary NDVI change polygon (threshold of areas where NDVI decreased by -0.25 or more) for July 8 and 9 as compared to Pre-event imagery on June 17.

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).

Gaps in the dataset indicate clouds in the Planet imagery used to create this product.

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.

Esri REST Endpoint:

See URL section on right side of page

Data Download:

https://maps.disasters.nasa.gov/download/gis_products/event_specific/2025/texas_flood_202507/NDVIchange/



Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 3.0

Pixel Size Y: 3.0

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

Copyright Text:

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: 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: 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