gov.noaa.ngdc.mgg.hazards:3022
eng; USA
utf8
dataset
NOAA National Centers for Environmental Information
Hazards Data Manager
haz.info@noaa.gov
pointOfContact
2015-10-01
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
GOES Fire Detects from the Wildfire Automated Biomass Burning Algorithm (WF-ABBA)
2003-07-01
publication
NOAA National Centers for Environmental Information
publisher
NOAA > NESDIS > Office of Satellite Data Processing and Distribution > Satellite Services Division
Camp Springs
MD
publisher
NOAA > NESDIS > Office of Satellite Data Processing and Distribution > Satellite Services Division
originator
The GOES ABBA is a contextual multi-spectral thresholding algorithm which utilizes dynamic local thresholds derived from the GOES satellite imagery and ancillary databases to locate fire pixels and provides estimates of the sub-pixel area and mean temperature of the fire(s). Developed by Dr. Elaine Prins, NESDIS/ORA at the Cooperative Institute for Meteorological Satellite Studies (CIMSS), the algorithm is now run operationally by NESDIS/OSDPD. OSDPD produces and archives fire detects over N. America.
To detect fires
Elaine Prins, NESDIS/ORA at the Cooperative Institute for Meteorological Satellite Studies (CIMSS) at the University of Wisconsin
underDevelopment
Donna P. McNamara
National Oceanic and Atmospheric Administration (NOAA), National Environmental Satellite, Data, and Information Service (NESDIS), Office of Satellite Data Processing and Distribution (OSDPD), Satellite Services Division (SSD), Fire Detection Program
Fire Product Lead
301-763-8142
301-899-9196
5200 Auth Road rm 510
Camp Springs
MD
20746
USA
SSDFireteam@noaa.gov
pointOfContact
continual
asNeeded
asNeeded
ONCE EVERY 1/4 HOUR
EARTH SCIENCE > Human Dimensions > Natural Hazards > Fire
EARTH SCIENCE > Human Dimensions > Environmental Impacts > Gas Flaring
EARTH SCIENCE > Radiance Or Imagery > Infrared Wavelengths > Infrared Imagery
EARTH SCIENCE > Radiance Or Imagery > Infrared Wavelengths > Reflected Infrared
EARTH SCIENCE > Radiance Or Imagery > Infrared Wavelengths > Thermal Infrared
theme
GCMD Keyword Thesaurus
Wildfire
theme
Uncontrolled Keyword
North America
place
GCMD Keyword Thesaurus
DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce
dataCentre
Global Change Master Directory (GCMD) Data Center Keywords
2020-01-09
publication
9.1
NASA Goddard Space Flight Center, Earth Science Data and Information System
https://www.earthdata.nasa.gov/learn/find-data/idn/gcmd-keywords
Global Change Master Directory (GCMD) Keywords
The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords.
information
custodian
This server and data are not considered "operational." We do not guarantee availability or timely delivery of data and the server should not be used to support operational observation, forecasting, emergency, or disaster mitigation operations, either public or private.
otherRestrictions
Use Constraints: None
otherRestrictions
Access Constraints: None
eng; USA
-165
-35
5
60
2003-06-05
Point: Fire Pixel
LON
The Longitude of the wildfire detection
-50
-160
Degrees East
Degrees East
LAT
The latitude of the wildfire detection
70
0
Degrees North
Degrees North
TEMP4
4 micron (channel 2) temperature
350
280
Degrees Kelvin
Degrees Kelvin
TEMP11
11 micron (channel 4) temperature
330
150
Degrees Kelvin
Degrees Kelvin
SATELLITE
The number of the satellite
Satellite Number
Satellite Number
FIREFLG
Flag related to quality of the detection
0: Processed fire pixel (A fire was identified and conditions were favorable to allow for sub-pixel instantaneous estimation of fire size and temperature.)
1: Saturated fire pixel
2: cloud-contaminated fire pixel
3: High possibility fire pixel
4: Medium possibility fire pixel
5: Indicates a low possibility fire pixel (at this time, all 5's have been removed to minimize false detects.)
ECOSYS
The longitude of the wildfire detection
1: Urban
2: Low Sparse Grassland
3: Coniferous Forest
4: Deciduous Conifer Forest
5: Deciduous Broadleaf Forest
6: Evergreen Broadleaf Forest
7: Tall Grasses and Shrubs
8: Bare Desert
9: Upland Tundra
10: Irrigated Grassland
11: Semi Desert
12: Glacier Ice
13: Wooded Wet Swamp
14: Inland Water
15: Sea Water
16: Shrub Evergreen
17: Shrub Deciduous
18: Mixed Forest and Field
19: Evergreen Forest and Fields
20: Cool Rain Forest
21: Conifer Boreal Forest
22: Cool Conifer Forest
23: Cool Mixed Forest
24: Mixed Forest
25: Cool Broadleaf Forest
26: Deciduous Broadleaf Forest
27: Conifer Forest
28: Montane Tropical Forests
29: Seasonal Tropical Forest
30: Cool Crops and Towns
31: Crops and Town
32: Dry Tropical Woods
33: Tropical Rainforest
34: Tropical Degraded Forest
35: Corn and Beans Cropland
36: Rica Paddy and Field
37: Hot Irrigated Cropland
38: Cool Irrigated Cropland
39: Cold Irrigated Cropland
40: Cool Grasses and Shrubs
41: Hot and Mild Grasses and Shrubs
42: Cold Grassland
43: Savanna (Woods)
44: Mire, Bog, Fen
45: Marsh Wetland
46: Mediterranean Scrub
47: Dry Woody Scrub
48: Dry Evergreen Woods
49: Volcanic Rock
50: Sand Desert
51: Semi Desert Shrubs
52: Semi Desert Sage
53: Barren Tundra
54: Cool Southern Hemisphere Mixed Forests
55: Cool Fields and Woods
56: Forest and Field
57: cool Forest and Field
58: Fields and Woody Savanna
59: Succulent and Thorn Scrub
60: Small Leaf Mixed Woods
61: Deciduous and Mixed Boreal Forest
62: Narrow Conifers
63: Wooded Tundra
64: Heath Scrub
65: Coastal Wetland, NW
66: Coastal Wetland, NE
67: Coastal Wetland, SE
68: Coastal Wetland, SW
69: Polar and Alpine Desert
70: Glacier Rock
71: Salt Playas
72: Mangrove
73: Water and Island Fringe
74: Land, Water, and Shore (See Note 1)
75: Land and Water, Rivers (see Note 1)
76: Crop and Water Mixtures
77: Southern Hemisphere Conifers
78: Southern Hemisphere Mixed Forest
79: Wet Sclerophylic Forest
80: Coastline Fringe
81: Beaches and Dunes
82: Sparse Dunes and Ridges
83: Bare Coastal Dunes
84: Residual Dunes and Beaches
85: Compound Coastlines
86: Rocky Cliffs and Slopes
87: Sandy Grassland and Shrubs
88: Bamboo
89: Moist Eucalyptus
90: Rain Green Tropical Forest
91: Woody Savanna
92: Broadleaf Crops
93: Grass Crops
94: Crops, Grass, Shrubs
95: Evergreen Tree Crop
96: Deciduous Tree Crop
99: Interrupted Areas (Goodes Homolosine Projection)
100: Missing Data
ArcIMS
Shapefile
Donna P. McNamara
National Oceanic and Atmospheric Administration (NOAA), National Environmental Satellite, Data, and Information Service (NESDIS), Office of Satellite Data Processing and Distribution (OSDPD), Satellite Services Division (SSD), Fire Detection Program
Fire Product Lead
301-763-8142
301-899-9196
5200 Auth Road rm 510
Camp Springs
MD
20746
USA
SSDFireteam@noaa.gov
distributor
http://maps.ngdc.noaa.gov/viewers/firedetects/
http://maps.ngdc.noaa.gov/viewers/firedetects/
repository
NOAA National Centers for Environmental Information
NOAA created the National Centers for Environmental Information (NCEI) by merging NOAA's National Climatic Data Center (NCDC), National Geophysical Data Center (NGDC), and National Oceanographic Data Center (NODC), including the National Coastal Data Development Center (NCDDC), per the Consolidated and Further Continuing Appropriations Act, 2015, Public Law 113-235. NCEI launched publicly on April 22, 2015.
2015-04-22T00:00:00
dataset
Unknown
Unknown
The SSD product is a reformatted version of the North American product available on the CIMSS website. The reformatting of the WF-ABBA product consists of removing the lowest probability fires (category 5), as validation at CIMSS has shown that many of the low possibility fires are not fires. The fields fire size and temperature have been removed as they are very rough estimates of the average instantaneous sub-pixel fire(s) size and temperature, and are not meant to be used for wildfire diagnosis.
Source Contribution: Unknown Source Type: Electronic Mail System
GOES Fire Detects from the Wildfire Automated Biomass Burning Algorithm (WF-ABBA)
2003-07-01
publication
NOAA > NESDIS > Office of Satellite Data Processing and Distribution > Satellite Services Division
Camp Springs
MD
publisher
NOAA > NESDIS > Office of Satellite Data Processing and Distribution > Satellite Services Division
originator
otherRestrictions
Metadata Access Constraints: None
otherRestrictions
Metadata Use Constraints: None
annually
This metadata was automatically generated from the Content Standards for Digital Geospatial Metadata standard (version FGDC-STD-001-1998) using the 2012-10-26 version of the FGDC RSE to ISO 19115-2 transform.
Translated from FGDC 2013-01-22T13:52:00.637-07:00
This record was automatically modified on 2015-10-01 to include references to NCEI where applicable.
NOAA National Centers for Environmental Information
Metadata Specialist
editor
NOAA National Centers for Environmental Information
Hazards Data Manager
haz.info@noaa.gov
pointOfContact