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Service Description: Dates of Imagery:
4/1/20 to 5/5/20
Date of Next Image:None expected
Summary:
The support vector machine method is used to process Active Fires L2 satellite data to estimate the fire evolution. A unique visualization of the fire detections shows how the size of the pixel depends on the product and the scan angle. The confidence level and FRP are also used to illustrate the pixels. Hotspot fire detections and clear ground observations are used to drive the machine learning technique and draw fire perimeters at different times.
Suggested Usage:
Tracking fire perimeters and initialization and data assimilation for fire modeling.
Satellite/Sensor:
L2 Active Fires data from MODIS and VIIRS satellites (MOD14, MYD14, and VNP14).
Resolution:
750m to 1km
Credits:
NASA, NSF
ESRI REST Endpoint:
See URL section on the right side of page.
WMS Endpoint:
Layers
Legend
All Layers and Tables
Dynamic Legend
Dynamic All Layers
Layers:
Description:
Service Item Id: d605f495e9044f5d9d8ded78cc15adc9
Copyright Text: NASA, NSF
Spatial Reference:
4326
(4326)
VCSWkid(5773)
LatestVCSWkid(5773)
Single Fused Map Cache: false
Initial Extent:
XMin: -91.03266322048873
YMin: 17.18263831016287
XMax: -90.1860509946143
YMax: 17.720872389681684
Spatial Reference: 4326
(4326)
VCSWkid(5773)
LatestVCSWkid(5773)
Full Extent:
XMin: -91.02228824299999
YMin: 16.95185796900006
XMax: -89.80369296399994
YMax: 17.811857969000073
Spatial Reference: 4326
(4326)
VCSWkid(5773)
LatestVCSWkid(5773)
Time Info:
Time Extent:
[2020/04/01 04:40:00 UTC, 2020/05/05 22:40:00 UTC]
Time Reference:
N/A
Units: esriDecimalDegrees
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: fire_perimeters.mxd
Author:
Comments: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN STYLE="font-weight:bold;">Dates of Imagery:</SPAN></P><P><SPAN>4/1/20 to 5/5/20</SPAN></P><P><SPAN STYLE="font-weight:bold;">Date of Next Image:</SPAN><SPAN>None expected</SPAN></P><P><SPAN STYLE="font-weight:bold;">Summary:</SPAN></P><P><SPAN /><SPAN>The support vector machine method is used to process Active Fires L2 satellite data to estimate the fire evolution. A unique visualization of the fire detections shows how the size of the pixel depends on the product and the scan angle. The confidence level and FRP are also used to illustrate the pixels. Hotspot fire detections and clear ground observations are used to drive the machine learning technique and draw fire perimeters at different times. </SPAN></P><P><SPAN /></P><P><SPAN STYLE="font-weight:bold;">Suggested Usage:</SPAN></P><P><SPAN>Tracking fire perimeters and initialization and data assimilation for fire modeling.</SPAN></P><P><SPAN /></P><P><SPAN STYLE="font-weight:bold;">Satellite/Sensor:</SPAN></P><P><SPAN>L2 Active Fires data from MODIS and VIIRS satellites (MOD14, MYD14, and VNP14).</SPAN></P><P><SPAN /></P><P><SPAN STYLE="font-weight:bold;">Resolution:</SPAN></P><P><SPAN>750m to 1km</SPAN></P><P><SPAN /></P><P><SPAN STYLE="font-weight:bold;">Credits:</SPAN></P><P><SPAN>NASA, NSF</SPAN></P><P><SPAN /></P><P><SPAN STYLE="font-weight:bold;">ESRI REST Endpoint:</SPAN></P><P><SPAN>See URL section on the right side of page.</SPAN></P><P><SPAN /></P><P><SPAN STYLE="font-weight:bold;">WMS Endpoint:</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>
Subject: Fire perimeters for the Guatamala Fires April/May 2020 derived by machine learning.
Category:
Keywords: NASA,NASA Disasters Program,Fire,Fires,Wildfire,Wildfires,Perimeter,Guatemala,2020
AntialiasingMode: None
TextAntialiasingMode: Force
Supports Dynamic Layers: true
Resampling: false
MaxRecordCount: 1000
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
Child Resources:
Info
Dynamic Layer
Supported Operations:
Export Map
Identify
QueryLegends
QueryDomains
Find
Return Updates
Generate KML