| snippet:
|
(EXERCISE - DaNCE March 2026) Binary NDVI (Landsat) for the Brazil Floods May 2024. |
| summary:
|
(EXERCISE - DaNCE March 2026) Binary NDVI (Landsat) for the Brazil Floods May 2024. |
| extent:
|
[[-54.101290574549,-31.3540289607193],[-50.221823671923,-29.2588944900598]] |
| accessInformation:
|
NASA/MSFC, USGS |
| thumbnail:
|
thumbnail/thumbnail.png |
| maxScale:
|
1.7976931348623157E308 |
| typeKeywords:
|
["ArcGIS","ArcGIS Server","Data","Map Service","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> |
| licenseInfo:
|
<div style='text-align:Left;'><div><div><p><span>NASA data and products are freely available to federal, state, public, non-profit and commercial users. This information can be experimental- or research-grade data products and may not be appropriate for operational use. These NASA data products, services, and the Disasters Mapping Portal are intended to aid decision makers and enhance situational awareness, but these data are not guaranteed to be consistently available or routinely updated.</span></p></div></div></div> |
| catalogPath:
|
|
| title:
|
ex2602_landsat_bndvi |
| type:
|
Map Service |
| url:
|
|
| tags:
|
["NASA","NASA Disasters Program","NASA Disasters Response Coordination System","Landsat","True Color","NDVI","bNDVI","Brazil"] |
| culture:
|
en-US |
| portalUrl:
|
|
| name:
|
ex2602_landsat_bndvi |
| guid:
|
3A7676EC-0050-4C3D-8111-C2B9144A5B13 |
| minScale:
|
0 |
| spatialReference:
|
WGS_1984_UTM_Zone_22N |