Dataset Overview | National Centers for Environmental Information (NCEI)

NOAA GOES-R Series Advanced Baseline Imager (ABI) Level 2 Fire/Hot Spot Characterization (FDC)

ABI-L2-FDC

Example of the Fire/Hot Spot Characterization product as derived by the GOES-R Fire/Hot Spot Characterization algorithm using simulated GOES-R ABI 3.9 µm data over Southern California at 1825 UTC on 23 October 2007.

The GOES-R Advanced Baseline Imager (ABI) Fire (HSC) product contains four images, one in the form of a fire mask, and the other three with pixel values identifying fire temperature, fire area, and fire radiative power. Pixel values in the fire mask image identify a fire category and diagnostic information associated with algorithm execution. The six fire categories include: Good quality or temporally filtered good quality fire pixel; Saturated fire pixel or temporally filtered saturated fire pixel; Cloud contaminated or temporally filtered cloud contaminated fire pixel; High probability or temporally filtered high probability fire pixel; Medium probability or temporally filtered high probability fire pixel; Low probability or temporally filtered high probability fire. Temporally filtered fire pixels are those resulting from fire pixels that are in close proximity in both space and time. The product includes data quality information that provides an assessment of fire detection for on-earth pixels. The units of measure for the Fire (HSC) product quantities are for Mask: dimensionless; for Temperature: kelvin; for Area: square kilometers; for Radiative Power: megawatts. The Fire (HSC) product image is produced on the ABI fixed grid at 2 km resolution for Full Disk and CONUS coverage regions from GOES East and West. Product data is produced under the following conditions: Existence of land; Geolocated source data to local zenith angles of 80 degrees, solar zenith angles between 10 and 180 degrees, and sunglint angles greater than 10 degrees.

Dataset Citation

Cite as: GOES-R Algorithm Working Group and GOES-R Program Office, (2018): NOAA GOES-R Series Advanced Baseline Imager (ABI) Level 2 Fire/Hot Spot Characterization (FDC). [indicate subset used]. NOAA National Centers for Environmental Information. doi:10.7289/V5X065CR [access date].

Dataset Identifiers

doi:10.7289/V5X065CR
ABI-L2-FDC
gov.noaa.ncdc:C01520
gov.noaa.class:GRABIPRD

ISO 19115-2 Metadata

gov.noaa.ncdc:C01520

Full Text · XML

Download Data	GOES-16 AWS S3 Explorer (Region: us-east-1) (download) Browse view to explore the S3 bucket for GOES-16 datasets. Data relevant to this can be found in folders with the prefix ABI-L2-FDC. GOES-17 AWS S3 Explorer (Region: us-east-1) (download) Browse view to explore the S3 bucket for GOES-17 datasets. Data relevant to this can be found in folders with the prefix ABI-L2-FDC. GOES-18 AWS S3 Explorer (Region: us-east-1) (download) Browse view to explore the S3 bucket for GOES-18 datasets. Data relevant to this can be found in folders with the prefix ABI-L2-FDC. GOES-16 Google Cloud Bucket Explorer (Region: US-multiple) (download) Browse view to explore the Google Cloud bucket for GOES-16. Data relevant to this can be found in folders with the prefix ABI-L2-FDC. GOES-17 Google Cloud Bucket Explorer (Region: US-multiple) (download) Browse view to explore the Google Cloud bucket for GOES-17. Data relevant to this can be found in folders with the prefix ABI-L2-FDC. GOES-18 Google Cloud Bucket Explorer (Region: US-multiple) (download) Browse view to explore the Google Cloud bucket for GOES-18. Data relevant to this can be found in folders with the prefix ABI-L2-FDC.
Order Data	NCEI Archive Information Request System (order) Search the data archive and submit an order for the dataset via the interface. NOAA CLASS Data Search and Order (order) Search the data archive and submit an order for the dataset via the interface.
Distribution Formats	NetCDF (Version: 4)
Ordering Instructions	Contact NCEI for other distribution options and instructions.
Distributor	NOAA National Centers for Environmental Information ncei.info@noaa.gov
Dataset Point of Contact	Customer Engagement Branch DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce ncei.sat.info@noaa.gov

Time Period	2017-05-24 to Present (time interval: 10-minute)
Spatial Reference System	urn:ogc:def:crs:EPSG::4326
Spatial Bounding Box Coordinates	West: -156.2995 East: 6.2995 South: -81.3282 North: 81.3282
Spatial Coverage Map

General Documentation	NCEI Dataset Landing Page Landing page for the dataset. NCEI GOES-R Terrestrial Weather (ABI/GLM) Description of the products and related resources. Product Definition and Users' Guide (PUG) Vol.1 Main The Product Definition and User's Guide (PUG) document provides product descriptions and formats for all data and products produced and made available to users by the Geostationary Operational Environmental Satellite R Series (GOES-R) Core Ground Segment (GS). Product Definition and Users' Guide (PUG) Vol.5 Level 2+ Products The Product Definition and User's Guide (PUG) document provides product descriptions and formats for all data and products produced and made available to users by the Geostationary Operational Environmental Satellite R Series (GOES-R) Core Ground Segment (GS). Registry of Open Data on AWS Information on AWS data access. Azure Landing Page (Region: europe-west) Information on Microsoft Azure data access. Google Cloud Landing Page (Region: US-multiple) Information on Google Cloud data access for GOES datasets.
Processing Documents	GOES-R Algorithm Working Group GOES-R Algorithm Working Group The GOES-R Algorithm Working Group creates the algorithms that process the quality controlled satellite instrument data and produces resulting data products. NOAA Satellite Information System Product Quality NOAA Satellite Information System Product Quality Peer/Stakeholder Product Validation Reviews by satellite and product. GOES-R Algorithm Theoretical Basis Documents GOES-R Algorithm Theoretical Basis Documents Descriptions of how the algorithms work, their underlying designs, and initial comparison with prior algorithms and results.
Associated Resources	GOES-R Program Document Library GOES-R Program Document Library Webpage with product algorithm, users guides, and education and outreach materials. GOES Operational Status - NOAA Office of Satellite and Product Operations GOES Operational Status - NOAA Office of Satellite and Product Operations GOES spacecraft status page.

Publication Dates	publication: 2018-03-30
Edition	Provisional
Data Presentation Form	Digital image
Dataset Progress Status	Ongoing - data is continually being updated
Data Update Frequency	Continual
Purpose	The Fire/Hot Spot Characterization product will make use of both visible and IR spectral bands to locate fires and retrieve sub-pixel fire characteristics. The product will greatly improve upon the currently available Fire Detection product by taking advantage of the higher spatial and temporal resolution which will be available with the GOES-R ABI. Forecasters will be able to use this product to monitor wildfires, and more importantly, rapid changes in individual fires. Forecasters will use this product as part of an arsenal of forecasting tools aimed at helping firefighting efforts.
Use Limitations	For a complete description of use limitations for this dataset, refer to the Algorithm Theoretical Basis Document (ATBD).

Dataset Citation	Cite as: GOES-R Algorithm Working Group and GOES-R Program Office, (2018): NOAA GOES-R Series Advanced Baseline Imager (ABI) Level 2 Fire/Hot Spot Characterization (FDC). [indicate subset used]. NOAA National Centers for Environmental Information. doi:10.7289/V5X065CR [access date].
Cited Authors	GOES-R Algorithm Working Group GOES-R Series Program
Principal Investigators	GOES-R Algorithm Working Group
Resource Providers	GOES-R Series Program
Publishers	NOAA National Centers for Environmental Information

Theme keywords	Global Change Master Directory (GCMD) Science Keywords Earth Science > Human Dimensions > Natural Hazards > Wildfires Earth Science > Biosphere > Ecological Dynamics > Fire Ecology > Fire Occurance Earth Science > Biosphere > Ecological Dynamics > Fire Ecology > Fire Dynamics Global Climate Observing System (GCOS) Essential Climate Variables (ECVs) Terrestrial - Fire Disturbance
Data Center keywords	Global Change Master Directory (GCMD) Data Center Keywords DOC/NOAA/NESDIS/NCDC > National Climatic Data Center, NESDIS, NOAA, U.S. Department of Commerce DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce DOC/NOAA/NESDIS/STAR > Center for Satellite Applications and Research, NESDIS, NOAA, U.S. Department of Commerce DOC/NOAA/NESDIS/OSPO > Office of Satellite and Product Operations, NESDIS, NOAA, U.S. Department of Commerce
Platform keywords	Global Change Master Directory (GCMD) Platform Keywords GOES-16 > Geostationary Operational Environmental Satellite 16 GOES-17 > Geostationary Operational Environmental Satellite 17 GOES-18 > Geostationary Operational Environmental Satellite 18
Instrument keywords	Global Change Master Directory (GCMD) Instrument Keywords ABI > Advanced Baseline Imager
Place keywords	Global Change Master Directory (GCMD) Location Keywords Geographic Region > Equatorial Geographic Region > Mid-Latitude Geographic Region > Northern Hemisphere Geographic Region > Southern Hemisphere Geographic Region > Western Hemisphere Geographic Region > Tropics Continent > North America > United States Of America Continent > North America > Central America Continent > South America Ocean > Atlantic Ocean Ocean > Pacific Ocean
Project keywords	Global Change Master Directory (GCMD) Project Keywords GOES > Geostationary Operational Environmental Satellites ABI-L2-FDC gov.noaa.class:GRABIPRD GRABIPRD gov.noaa.class:GRABIPRD
Data Resolution keywords	Global Change Master Directory (GCMD) Horizontal Data Resolution Keywords 1 km - < 10 km or approximately .01 degree - < .09 degree Global Change Master Directory (GCMD) Temporal Data Resolution Keywords 1 minute - < 1 hour
Stratum keywords	Global Change Master Directory (GCMD) Location Keywords Vertical Location > Land Surface

Use Constraints

Cite as: GOES-R Algorithm Working Group and GOES-R Program Office, (2018): NOAA GOES-R Series Advanced Baseline Imager (ABI) Level 2 Fire/Hot Spot Characterization (FDC). [indicate subset used]. NOAA National Centers for Environmental Information. doi:10.7289/V5X065CR [access date].

Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.

Access Constraints

Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.

Fees

In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media.

Lineage information for: dataset
Lineage Statement	These data were produced by the NOAA Office of Satellite and Product Operations (OSPO) and are archived at the NOAA National Centers for Environmental Information (NCEI).
Processor	DOC/NOAA/NESDIS/OSPO > Office of Satellite and Product Operations, NESDIS, NOAA, U.S. Department of Commerce
Processing Steps	The Fire product is generated by the GOES-R ABI Land Fire ground processing algorithm. The Fire algorithm is a dynamic multispectral thresholding algorithm that uses the differences in sensitivity to high temperature subpixel anomalies of ABI bands 7 and 14, with central wavelengths of 3.9 and 11.2 um, respectively. The algorithm consists of a series of screening tests, threshold tests, and calculations that are applied to each pixel. Estimates of subpixel fire area, temperature, and power are computed based on a screening. Additionally, subsequent analysis can introduce additional fire pixels in the fire mask for which fire properties are not derived from the source ABI data. Pixels in the product images with out of range values are assigned the minimum or maximum value in the valid range. Reflectance for band 2 and brightness temperature for band 15 are used in cloud tests but are not required to detect fires. The algorithm maintains "time of last fire" intermediate data for each pixel that is used and updated for each execution of the algorithm. 2017-05-24T00:00:00 - The GOES-16 ABI Fire/Hot Spot Characterization algorithm reached beta maturity. 2018-03-16T00:00:00 - The GOES-16 ABI Fire/Hot Spot Characterization algorithm reached provisional maturity. The GOES-16 ABI Fire/Hot Spot Characterization algorithm reached full validation maturity. 2018-08-27T00:00:00 - The GOES-17 ABI Fire/Hot Spot Characterization algorithm reached beta maturity. 2019-07-25T00:00:00 - The GOES-17 ABI Fire/Hot Spot Characterization algorithm reached provisional maturity. The GOES-17 ABI Fire/Hot Spot Characterization algorithm reached full validation maturity.
Processing Documents	GOES-R Algorithm Working Group GOES-R Algorithm Working Group The GOES-R Algorithm Working Group creates the algorithms that process the quality controlled satellite instrument data and produces resulting data products. NOAA Satellite Information System Product Quality NOAA Satellite Information System Product Quality Peer/Stakeholder Product Validation Reviews by satellite and product. GOES-R Algorithm Theoretical Basis Documents GOES-R Algorithm Theoretical Basis Documents Descriptions of how the algorithms work, their underlying designs, and initial comparison with prior algorithms and results.
Source Datasets	NOAA GOES-R Series Advanced Baseline Imager (ABI) Level 1b Radiances Landing page for ABI-L1-RAD Source dataset landing page with general information and access links for the dataset. Description of Source: Level 1b radiances Temporal extent used: 2017-02-28 to Present Spatial extent used: N:81.3282 S:-81.3282 E:6.2995 W:-156.2995

Lineage information for: repository
Processing Steps	2015-04-22T00:00:00 - 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.

Lineage information for: repository

Processing Steps

2015-04-22T00:00:00 - 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.

Last Modified: 2023-09-19
For questions about the information on this page, please email: ncei.info@noaa.gov

NOAA GOES-R Series Advanced Baseline Imager (ABI) Level 2 Fire/Hot Spot Characterization (FDC)

ABI-L2-FDC

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