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Service Description: Summary:
The Fire Event Data Suite, or FEDS, algorithm uses high resolution VIIRS observations to map fire perimeters, identify the active portion of fire fronts, and track the progression and attributes of individual fires every 12 hours. For individual fire events, FEDS contains information on the latest active fire detections, as well as the total fire event history in 12 hour increments.
Suggested Usage:
Perimeter data are helpful for understanding the time series progression of a fire event, as observed via the VIIRS sensor. Given the source data, the same considerations that must be taken for FIRMS active fire data are applicable here. All data are experimental and should always be verified with supplementary sources of information when available.
Date of Next Image:
Updates available at approximate 12-hour intervals.
Satellite/Sensor:
Suomi NPP and NOAA-20 satellites carrying the VIIRS sensor. The FEDS algorithm uses the locations and sizes of each pixel to derive perimeter information and track individual fire events.
Resolution:
375m at nadir
Credits:
NASA Earth Information System (EIS)
Doug Morton, Melanie Follette-Cook, Elijah Orland, Tempest McCabe (all GSFC), Yang Chen (UC Irvine)
Scientific Paper
Esri REST Endpoint:
See URL section on right side of page
WMS Endpoint:
https://maps.disasters.nasa.gov/ags04/services/chile_wildfires_202402/EIS_FEDS/MapServer/WMSServer
Data Download:
https://maps.disasters.nasa.gov/download/gis_products/event_specific/2024/chile_wildfires_202402/ChileNRT/
Map Name: EIS_FEDS
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Description: Summary:
The Fire Event Data Suite, or FEDS, algorithm uses high resolution VIIRS observations to map fire perimeters, identify the active portion of fire fronts, and track the progression and attributes of individual fires every 12 hours. For individual fire events, FEDS contains information on the latest active fire detections, as well as the total fire event history in 12 hour increments.
Suggested Usage:
Perimeter data are helpful for understanding the time series progression of a fire event, as observed via the VIIRS sensor. Given the source data, the same considerations that must be taken for FIRMS active fire data are applicable here. All data are experimental and should always be verified with supplementary sources of information when available.
Date of Next Image:
Updates available at approximate 12-hour intervals.
Satellite/Sensor:
Suomi NPP and NOAA-20 satellites carrying the VIIRS sensor. The FEDS algorithm uses the locations and sizes of each pixel to derive perimeter information and track individual fire events.
Resolution:
375m at nadir
Credits:
NASA Earth Information System (EIS)
Doug Morton, Melanie Follette-Cook, Elijah Orland, Tempest McCabe (all GSFC), Yang Chen (UC Irvine)
Scientific Paper
Esri REST Endpoint:
See URL section on right side of page
WMS Endpoint:
Data Download:
Service Item Id: 655c09eb90354f198f3896275d13e97a
Copyright Text: NASA Earth Information System (EIS) , Doug Morton, Melanie Follette-Cook, Elijah Orland, Tempest McCabe (all GSFC), Yang Chen (UC Irvine), https://www.nature.com/articles/s41597-022-01343-0
Spatial Reference:
PROJCS["WGS_1984_EASE-Grid_2.0_Global",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Behrmann"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",30.0],UNIT["Meter",1.0]]
Single Fused Map Cache: false
Initial Extent:
XMin: -7189987.613039809
YMin: -4169409.169010681
XMax: -6623990.399667344
YMax: -3821893.7313448694
Spatial Reference: PROJCS["WGS_1984_EASE-Grid_2.0_Global",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Behrmann"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",30.0],UNIT["Meter",1.0]]
Full Extent:
XMin: -7200505.109515725
YMin: -5850104.542547406
XMax: -6355899.376024327
YMax: -1884756.0792385568
Spatial Reference: PROJCS["WGS_1984_EASE-Grid_2.0_Global",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Behrmann"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",30.0],UNIT["Meter",1.0]]
Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: EIS_FEDS
Author:
Comments: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-weight:bold;">Summary:</SPAN></P><P><SPAN>The Fire Event Data Suite, or FEDS, algorithm uses high resolution VIIRS observations to map fire perimeters, identify the active portion of fire fronts, and track the progression and attributes of individual fires every 12 hours. For individual fire events, FEDS contains information on the latest active fire detections, as well as the total fire event history in 12 hour increments.</SPAN></P><P><SPAN /></P><P><SPAN STYLE="font-weight:bold;">Suggested Usage:</SPAN></P><P><SPAN>Perimeter data are helpful for understanding the time series progression of a fire event, as observed via the VIIRS sensor. Given the source data, the same considerations that must be taken for FIRMS active fire data are applicable here. All data are experimental and should always be verified with supplementary sources of information when available.</SPAN></P><P /><P><SPAN STYLE="font-weight:bold;">Date of Next Image:</SPAN></P><P><SPAN>Updates available at approximate 12-hour intervals.</SPAN></P><P /><P><SPAN STYLE="font-weight:bold;">Satellite/Sensor:</SPAN></P><P><SPAN>Suomi NPP and NOAA-20 satellites carrying the VIIRS sensor. The FEDS algorithm uses the locations and sizes of each pixel to derive perimeter information and track individual fire events.</SPAN></P><P /><P><SPAN STYLE="font-weight:bold;">Resolution:</SPAN></P><P><SPAN>375m at nadir</SPAN></P><P /><P><SPAN STYLE="font-weight:bold;">Credits:</SPAN></P><P><SPAN>NASA Earth Information System (EIS)</SPAN></P><P><SPAN>Doug Morton, Melanie Follette-Cook, Elijah Orland, Tempest McCabe (all GSFC), Yang Chen (UC Irvine)</SPAN></P><P><A href="https://www.nature.com:443/articles/s41597-022-01343-0" STYLE="text-decoration:underline;"><SPAN>Scientific Paper</SPAN></A></P><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><P><SPAN STYLE="font-weight:bold;">WMS Endpoint:</SPAN></P><P><SPAN /></P><P><SPAN STYLE="font-weight:bold;">Data Download:</SPAN></P></DIV></DIV></DIV>
Subject: Earth Information System (EIS) Fire Event Data Suite (FEDS) Observations for February 2024 Chile Wildfires
Category:
Keywords: EIS,FEDS,Chile,Wildfires,NASA,NASA Disasters Program,VIIRS
AntialiasingMode: None
TextAntialiasingMode: Force
Supports Dynamic Layers: true
Resampling: false
MaxRecordCount: 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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