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Service Description: <div style='text-align:Left;'><div><div><p><span style='font-weight:bold;'>Dates of Images:</span></p><p><span>Post-Event: 5/8/2024; 5/15/2024</span></p><p><span>Pre-Event: 4/6/2024; 4/21/2024</span></p><p><span style='font-weight:bold;'>Date of Next Image:</span></p><p><span>Unknown</span></p><p><span style='font-weight:bold;'>Summary:</span></p><p><span>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.</span></p><p><span>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.</span></p><p><span>This layer is a binary NDVI change polygon (threshold of areas where NDVI decreased by -0.25 or more) for September 19, 2018 as compared to August 9, 2018.</span></p><p><span style='font-weight:bold;'>Suggested Use:</span></p><p><span>NDVI change: Commonly used to distinguish healthy/active vegetation (positive values) from potentially unhealthy/impacted vegetation (negative values). This map shows a binary flag where NDVI decreased.</span></p><p><span style='font-weight:bold;'>Satellite/Sensor:</span></p><p><span>Landsat</span></p><p><span style='font-weight:bold;'>Resolution:</span></p><p><span>3 meters</span></p><p><span style='font-weight:bold;'>Credits:</span></p><p><span>NASA/MSFC, USGS</span></p><p><span style='font-weight:bold;'>Esri REST Endpoint:</span></p><p><span>See URL section on right side of page</span></p><p><span /></p></div></div></div>
Map Name: landsat bndvi
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Description: Dates of Images:Post-Event: 5/8/2024; 5/15/2024Pre-Event: 4/6/2024; 4/21/2024Date of Next Image:UnknownSummary: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 September 19, 2018 as compared to August 9, 2018.Suggested Use:NDVI change: Commonly used to distinguish healthy/active vegetation (positive values) from potentially unhealthy/impacted vegetation (negative values). This map shows a binary flag where NDVI decreased.Satellite/Sensor:LandsatResolution:3 metersCredits:NASA/MSFC, USGSEsri REST Endpoint:See URL section on right side of page
Service Item Id: e09aec1d051f4d96b1d881e703ba330d
Copyright Text: NASA/MSFC, USGS
Spatial Reference:
32622
(32622)
LatestVCSWkid(0)
Single Fused Map Cache: false
Initial Extent:
XMin: 342929.04609102267
YMin: -3357131.50398172
XMax: 482597.9953606861
YMax: -3260042.1857741275
Spatial Reference: 32622
(32622)
LatestVCSWkid(0)
Full Extent:
XMin: 204855.0
YMin: -3469095.0
XMax: 574515.0
YMax: -3237495.0
Spatial Reference: 32622
(32622)
LatestVCSWkid(0)
Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: landsat bndvi
Author:
Comments: Dates of Images:Post-Event: 5/8/2024; 5/15/2024Pre-Event: 4/6/2024; 4/21/2024Date of Next Image:UnknownSummary: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 September 19, 2018 as compared to August 9, 2018.Suggested Use:NDVI change: Commonly used to distinguish healthy/active vegetation (positive values) from potentially unhealthy/impacted vegetation (negative values). This map shows a binary flag where NDVI decreased.Satellite/Sensor:LandsatResolution:3 metersCredits:NASA/MSFC, USGSEsri REST Endpoint:See URL section on right side of page
Subject: (EXERCISE - DaNCE March 2026) Binary NDVI (Landsat) for the Brazil Floods May 2024.
Category:
Keywords: NASA,NASA Disasters Program,NASA Disasters Response Coordination System,Landsat,True Color,NDVI,bNDVI,Brazil
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Supports Dynamic Layers: true
MaxRecordCount: 2000
MaxSelectionCount: 2000
MaxImageHeight: 4096
MaxImageWidth: 4096
Supported Query Formats: JSON, geoJSON, PBF
Supports Query Data Elements: true
Min Scale: 0
Max Scale: 0
Supports Datum Transformation: true
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