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 Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA) https://forum.earthdata.nasa.gov/app.php/tag/GCMD%2BKeywords GCMD Keyword Forum Page Global Change Master Directory (GCMD). 2024. GCMD Keywords, Version 19. Greenbelt, MD: Earth Science Data and Information System, Earth Science Projects Division, Goddard Space Flight Center (GSFC), National Aeronautics and Space Administration (NASA). URL (GCMD Keyword Forum Page): https://forum.earthdata.nasa.gov/app.php/tag/GCMD+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