RealEarth™ Product Listing

Alaskan Wildfire

4 products

	Historical Alaska Fire Occurrences by Month [HistoricalAlaskaFires-Months-Points] Wildfire occurrences in Alaska from 1939 to 2023. This dataset contains all fires, including false alarms and small fires. Not all months contain data. This data was created by the Alaska Interagency Coordination Center (ALCC).... Wildfire occurrences in Alaska from 1939 to 2023. This dataset contains all fires, including false alarms and small fires. Not all months contain data. This data was created by the Alaska Interagency Coordination Center (ALCC).
	Historical Alaska Fire Occurrences by Year [HistoricalAlaskaFires-Year-Point] Wildfire occurrences in Alaska from 1939 to 2023. This dataset contains all fires, including false alarms and small fires. This data was created by the Alaska Interagency Coordination Center (ALCC). Wildfire occurrences in Alaska from 1939 to 2023. This dataset contains all fires, including false alarms and small fires. This data was created by the Alaska Interagency Coordination Center (ALCC).
	Historical Alaska Fire Perimeters by Month [HistoricalAlaskaFires-Months-Polygon] Perimeters of Alaskan wildfires from 1939 to 2023. This dataset does not contain data for smaller fires without parameters. This data was created by the Alaska Interagency Coordination Center (ALCC). Perimeters of Alaskan wildfires from 1939 to 2023. This dataset does not contain data for smaller fires without parameters. This data was created by the Alaska Interagency Coordination Center (ALCC).
	Historical Alaska Fire Perimeters by Year [HistoricalAlaskaFires-Year-Polygon] Perimeters of Alaskan wildfires from 1939 to 2023. This dataset does not contain data for smaller fires without parameters. This data was created by the Alaska Interagency Coordination Center. Perimeters of Alaskan wildfires from 1939 to 2023. This dataset does not contain data for smaller fires without parameters. This data was created by the Alaska Interagency Coordination Center.

Alerts

Auxiliary

10 products

CIRA Uploads

47 products

	GOES East Band-2 - CONUS - CIRA [goes-east-conus-band-2-cira]
	GOES East Band-2 - Meso1 - CIRA [goes-east-meso1-band-2-cira]
	GOES East Band-2 - Meso2 - CIRA [goes-east-meso2-band-2-cira]
	GOES East Band-7 - CONUS - CIRA [goes-east-conus-band-7-cira]
	GOES East Band-7 - Meso1 - CIRA [goes-east-meso1-band-7-cira]
	GOES East Band-7 - Meso2 - CIRA [goes-east-meso2-band-7-cira]
	GOES East Band-13 - CONUS - CIRA [goes-east-conus-band-13-cira]
	GOES East Band-13 - Meso1 - CIRA [goes-east-meso1-band-13-cira]
	GOES East Band-13 - Meso2 - CIRA [goes-east-meso2-band-13-cira]
	GOES East Day Fire RGB - CONUS - CIRA [goes-east-conus-day-fire-rgb] This product is uploaded directly to RealEarth every 5-minutes by CIRA. More info to follow. This product is uploaded directly to RealEarth every 5-minutes by CIRA. More info to follow.
	GOES East Day Fire RGB - Meso1 - CIRA [goes-east-meso1-day-fire-rgb] This product is uploaded directly to RealEarth every minute by CIRA. More info to follow. This product is uploaded directly to RealEarth every minute by CIRA. More info to follow.
	GOES East Day Fire RGB - Meso2 - CIRA [goes-east-meso2-day-fire-rgb] This product is uploaded directly to RealEarth every minute by CIRA. More info to follow. This product is uploaded directly to RealEarth every minute by CIRA. More info to follow.
	GOES East Day Microphysics - CONUS - CIRA [goes-east-conus-day-microphy-rgb-cira]
	GOES East Day Microphysics - Meso1 - CIRA [goes-east-meso1-day-microphy-rgb-cira]
	GOES East Day Microphysics - Meso2 - CIRA [goes-east-meso2-day-microphy-rgb-cira]
	GOES East Fire Temp RGB - CONUS - CIRA [goes-east-conus-fire-temp-rgb] This product is uploaded directly to RealEarth every 5-minutes by CIRA. The Fire Temp is useful for fire detection and provides a qualitative estimate of fire activity and intensity. It takes advantage of the fact that more... This product is uploaded directly to RealEarth every 5-minutes by CIRA. The Fire Temp is useful for fire detection and provides a qualitative estimate of fire activity and intensity. It takes advantage of the fact that more intense fires emit more radiation at shorter wavelengths in the shortwave IR. Small or "cool" fires will only show up at 3.7 μm and appear red. Moderately intense or large fires will be detected at both 3.7 μm and 2.25 μm and will appear orange to yellow (yellow being more intense). Very intense fires will be detected by all three bands and appear white.
	GOES East Fire Temp RGB - Meso1 - CIRA [goes-east-meso1-fire-temp-rgb] This product is uploaded directly to RealEarth every minute by CIRA. The Fire Temp is useful for fire detection and provides a qualitative estimate of fire activity and intensity. It takes advantage of the fact that more... This product is uploaded directly to RealEarth every minute by CIRA. The Fire Temp is useful for fire detection and provides a qualitative estimate of fire activity and intensity. It takes advantage of the fact that more intense fires emit more radiation at shorter wavelengths in the shortwave IR. Small or "cool" fires will only show up at 3.7 μm and appear red. Moderately intense or large fires will be detected at both 3.7 μm and 2.25 μm and will appear orange to yellow (yellow being more intense). Very intense fires will be detected by all three bands and appear white.
	GOES East Fire Temp RGB - Meso2 - CIRA [goes-east-meso2-fire-temp-rgb] This product is uploaded directly to RealEarth every minute by CIRA. The Fire Temp is useful for fire detection and provides a qualitative estimate of fire activity and intensity. It takes advantage of the fact that more... This product is uploaded directly to RealEarth every minute by CIRA. The Fire Temp is useful for fire detection and provides a qualitative estimate of fire activity and intensity. It takes advantage of the fact that more intense fires emit more radiation at shorter wavelengths in the shortwave IR. Small or "cool" fires will only show up at 3.7 μm and appear red. Moderately intense or large fires will be detected at both 3.7 μm and 2.25 μm and will appear orange to yellow (yellow being more intense). Very intense fires will be detected by all three bands and appear white.
	GOES East GeoColor - CONUS - CIRA [goes-east-conus-GeoColor-cira]
	GOES East GeoColor - Meso1 - CIRA [goes-east-meso1-GeoColor-cira]
	GOES East GeoColor - Meso2 - CIRA [goes-east-meso2-GeoColor-cira]
	GOES West Band-2 - CONUS - CIRA [goes-west-conus-band-2-cira]
	GOES West Band-2 - Meso1 - CIRA [goes-west-meso1-band-2-cira]
	GOES West Band-2 - Meso2 - CIRA [goes-west-meso2-band-2-cira]
	GOES West Band-7 - CONUS - CIRA [goes-west-conus-band-7-cira]
	GOES West Band-7 - Meso1 - CIRA [goes-west-meso1-band-7-cira]
	GOES West Band-7 - Meso2 - CIRA [goes-west-meso2-band-7-cira]
	GOES West Band-13 - CONUS - CIRA [goes-west-conus-band-13-cira]
	GOES West Band-13 - Meso1 - CIRA [goes-west-meso1-band-13-cira]
	GOES West Band-13 - Meso2 - CIRA [goes-west-meso2-band-13-cira]
	GOES West Day Fire RGB - CONUS - CIRA [goes-west-conus-day-fire-rgb] This product is uploaded directly to RealEarth every 5-minutes by CIRA. More info to follow. This product is uploaded directly to RealEarth every 5-minutes by CIRA. More info to follow.
	GOES West Day Fire RGB - Meso1 - CIRA [goes-west-meso1-day-fire-rgb] This product is uploaded directly to RealEarth every minute by CIRA. More info to follow. This product is uploaded directly to RealEarth every minute by CIRA. More info to follow.
	GOES West Day Fire RGB - Meso2 - CIRA [goes-west-meso2-day-fire-rgb] This product is uploaded directly to RealEarth every minute by CIRA. More info to follow. This product is uploaded directly to RealEarth every minute by CIRA. More info to follow.
	GOES West Day Microphysics - CONUS - CIRA [goes-west-conus-day-microphy-rgb-cira]
	GOES West Day Microphysics - Meso1 - CIRA [goes-west-meso1-day-microphy-rgb-cira]
	GOES West Day Microphysics - Meso2 - CIRA [goes-west-meso2-day-microphy-rgb-cira]
	GOES West Fire Temp RGB - CONUS - CIRA [goes-west-conus-fire-temp-rgb] This product is uploaded directly to RealEarth every 5-minutes by CIRA. The Fire Temp is useful for fire detection and provides a qualitative estimate of fire activity and intensity. It takes advantage of the fact that more... This product is uploaded directly to RealEarth every 5-minutes by CIRA. The Fire Temp is useful for fire detection and provides a qualitative estimate of fire activity and intensity. It takes advantage of the fact that more intense fires emit more radiation at shorter wavelengths in the shortwave IR. Small or "cool" fires will only show up at 3.7 μm and appear red. Moderately intense or large fires will be detected at both 3.7 μm and 2.25 μm and will appear orange to yellow (yellow being more intense). Very intense fires will be detected by all three bands and appear white.
	GOES West Fire Temp RGB - Meso1 - CIRA [goes-west-meso1-fire-temp-rgb] This product is uploaded directly to RealEarth every minute by CIRA. The Fire Temp is useful for fire detection and provides a qualitative estimate of fire activity and intensity. It takes advantage of the fact that more... This product is uploaded directly to RealEarth every minute by CIRA. The Fire Temp is useful for fire detection and provides a qualitative estimate of fire activity and intensity. It takes advantage of the fact that more intense fires emit more radiation at shorter wavelengths in the shortwave IR. Small or "cool" fires will only show up at 3.7 μm and appear red. Moderately intense or large fires will be detected at both 3.7 μm and 2.25 μm and will appear orange to yellow (yellow being more intense). Very intense fires will be detected by all three bands and appear white.
	GOES West Fire Temp RGB - Meso2 - CIRA [goes-west-meso2-fire-temp-rgb] This product is uploaded directly to RealEarth every minute by CIRA. The Fire Temp is useful for fire detection and provides a qualitative estimate of fire activity and intensity. It takes advantage of the fact that more... This product is uploaded directly to RealEarth every minute by CIRA. The Fire Temp is useful for fire detection and provides a qualitative estimate of fire activity and intensity. It takes advantage of the fact that more intense fires emit more radiation at shorter wavelengths in the shortwave IR. Small or "cool" fires will only show up at 3.7 μm and appear red. Moderately intense or large fires will be detected at both 3.7 μm and 2.25 μm and will appear orange to yellow (yellow being more intense). Very intense fires will be detected by all three bands and appear white.
	GOES West GeoColor - CONUS - CIRA [goes-west-conus-GeoColor-cira]
	GOES West GeoColor - Meso1 - CIRA [goes-west-meso1-GeoColor-cira]
	GOES West GeoColor - Meso2 - CIRA [goes-west-meso2-GeoColor-cira]
	VIIRS Day Fire RGB - CIRA [VIIRS-Fire-RGB-CIRA] This RGB is created by assigning the VIIRS 3.74um channel to red, 0.87um channel to green, and the 0.64um channel to blue. It is used to assess fire perimeters and burn scars. These data are produced by the Cooperative... This RGB is created by assigning the VIIRS 3.74um channel to red, 0.87um channel to green, and the 0.64um channel to blue. It is used to assess fire perimeters and burn scars. These data are produced by the Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University.
	VIIRS Day Microphysics RGB - CIRA [viirs-day-microphy-rgb-cira]
	VIIRS Fire Temp RGB - CIRA [VIIRS-Fire-Temp-RGB-CIRA] This RGB is created by assigning the VIIRS 3.74um channel to red, 2.25um channel to green, and the 1.61um channel to blue. It is used to assess fire intensity and size, with fires ranging from red (smallest/lowest intensity)... This RGB is created by assigning the VIIRS 3.74um channel to red, 2.25um channel to green, and the 1.61um channel to blue. It is used to assess fire intensity and size, with fires ranging from red (smallest/lowest intensity) to yellow to white (hottest or most intense). These data are produced by the Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University.
	VIIRS Fire Temp RGB 375m - CIRA [VIIRS-Fire-Temp-RGB-375-CIRA] This RGB is created by assigning the VIIRS 3.74um channel to red, 2.25um channel to green, and the 1.61um channel to blue. It is used to assess fire intensity and size, with fires ranging from red (smallest/lowest intensity)... This RGB is created by assigning the VIIRS 3.74um channel to red, 2.25um channel to green, and the 1.61um channel to blue. It is used to assess fire intensity and size, with fires ranging from red (smallest/lowest intensity) to yellow to white (hottest or most intense). These data are produced by the Cooperative Institute for Research in the Atmosphere (CIRA) at Colorado State University.
	VIIRS GeoColor - CIRA [viirs-GeoColor-cira] CIRA makes true-color imagery from VIIRS using the following bands for RGB: Red = I1, Green = M4, Blue = M3 and modifies it to match the GeoColor product with night time additions. See the quick guide for GeoColor linked... CIRA makes true-color imagery from VIIRS using the following bands for RGB: Red = I1, Green = M4, Blue = M3 and modifies it to match the GeoColor product with night time additions. See the quick guide for GeoColor linked below.

Fire Detection - FDC

24 products

Fire Detection - GOES

11 products

Fire Detection - WFIGS

3 products

GOES East ConUS

10 products

GOES East Full Disk

7 products

GOES East Meso 1

8 products

GOES East Meso 2

8 products

GOES West ConUS

10 products

GOES West Full Disk

8 products

GOES West Meso 1

8 products

GOES West Meso 2

8 products

Historical Fire Data

6 products

	MTBS Burned Area Boundaries by Month [MTBS-Polygon-Month] This dataset provides the fire perimeters of burned areas in Monitoring Trends in Burn Severity (MTBS) database. Analysts used post-fire imagery, Normalized Burn Ratio (NBR), and difference NBR (dNBR) to delineate the... This dataset provides the fire perimeters of burned areas in Monitoring Trends in Burn Severity (MTBS) database. Analysts used post-fire imagery, Normalized Burn Ratio (NBR), and difference NBR (dNBR) to delineate the burned area and create fire perimeters. Each fire is organized by the month it ignited. The dataset only includes fires greater than 1,000 acres in the western U.S. and 500 acres in the eastern U.S.
	MTBS Burn Severity by Year [Severity] MTBS Burn severity metrics for wildfires in the Continental United States, Hawaii, and Alaska from 2000 to 2021 are displayed by the year of occurrence. This data set includes all fires 1,000 acres or greater in the... MTBS Burn severity metrics for wildfires in the Continental United States, Hawaii, and Alaska from 2000 to 2021 are displayed by the year of occurrence. This data set includes all fires 1,000 acres or greater in the western United States and 500 acres or greater in the eastern Unites States. Burn severity layers are thematic images depicting severity as unburned to low, low, moderate, high, and increased greenness (increased postfire vegetation response). The layer may also have a sixth class representing a mask for clouds, shadows, large water bodies, or other features on the landscape that erroneously affect the severity classification.
	MTBS Fires Occurrences by Month [MTBS-Points-Month] This dataset provides the central points of fire perimeters in the Monitoring Trends in Burn Severity (MTBS) database. Analysts used post-fire imagery, Normalized Burn Ratio (NBR), and difference NBR (dNBR) to... This dataset provides the central points of fire perimeters in the Monitoring Trends in Burn Severity (MTBS) database. Analysts used post-fire imagery, Normalized Burn Ratio (NBR), and difference NBR (dNBR) to delineate the fire perimeters and calculate the centroids. Each fire is organized by the month it ignited. The dataset only includes fires greater than 1,000 acres in the western U.S. and 500 acres in the eastern U.S.
	MTBS Fires Occurrences by Year [MTBS-Point-Year] This dataset provides the central points of fire perimeters in the Monitoring Trends in Burn Severity (MTBS) database. Analysts used post-fire imagery, Normalized Burn Ratio (NBR), and difference NBR (dNBR) to... This dataset provides the central points of fire perimeters in the Monitoring Trends in Burn Severity (MTBS) database. Analysts used post-fire imagery, Normalized Burn Ratio (NBR), and difference NBR (dNBR) to delineate the fire perimeters and calculate the centroids. Each fire is organized by the year it ignited. The dataset only includes fires greater than 1,000 acres in the western U.S. and 500 acres in the eastern U.S.
	USGS Fire Occurrence [USGSFireOccurrence-Months-Points] The USGS Fire Occurrence Database includes fires with ignition origins known to the nearest point on the Public Land Survey System grid (1.6 km horizontal resolution) and spans 1992–2020. Fires are displayed by the... The USGS Fire Occurrence Database includes fires with ignition origins known to the nearest point on the Public Land Survey System grid (1.6 km horizontal resolution) and spans 1992–2020. Fires are displayed by the month they were discovered in. This data was created by Karen Short and published in 2022
	USGS Fire Occurrences Over 1 Acre [USGSFireOccurrence-Months-Over1Acre-Points] The USGS Fire Occurrence Database includes fires with ignition origins known to the nearest point on the Public Land Survey System grid (1.6 km horizontal resolution) and a size greater than 1 acre. The dataset spans... The USGS Fire Occurrence Database includes fires with ignition origins known to the nearest point on the Public Land Survey System grid (1.6 km horizontal resolution) and a size greater than 1 acre. The dataset spans 1992–2020. Fires are displayed by the month they were discovered in. The data was created by Karen Short and published in 2022

LANDFIRE

5 products

	Anderson 13 Fuel Models [lf-fbfm13] These original 13 standard fire behavior fuel models serve as input to Rothermel"s surface fire behavior and spread model. LANDFIRE"s (LF) 13 Anderson Fire Behavior Fuel Model (FBFM13) represents distinct... These original 13 standard fire behavior fuel models serve as input to Rothermel"s surface fire behavior and spread model. LANDFIRE"s (LF) 13 Anderson Fire Behavior Fuel Model (FBFM13) represents distinct distributions of fuel loading found among surface fuel components (live and dead), size classes, and fuel types. The fuel models are described by the most common fire-carrying fuel type (grass, brush, timber litter, or slash), loading and surface area-to-volume ratio by size class and component, fuelbed depth, and moisture of extinction. Category definitions can be found here: https://landfire.gov/DataDictionary/LF2020/LF20_F13ADD_220.pdf
	Developed/Wildland Only [lf-evc-dw] This product is a "view" of the Existing Vegetation Cover from LANDFIRE that collapses categories aligned with either "developed" or "wildland." The following categories comprise... This product is a "view" of the Existing Vegetation Cover from LANDFIRE that collapses categories aligned with either "developed" or "wildland." The following categories comprise "developed": 13,Developed-Upland Deciduous Forest 14,Developed-Upland Evergreen Forest 15,Developed-Upland Mixed Forest 16,Developed-Upland Herbaceous 17,Developed-Upland Shrubland 21,Developed-Open Space 22,Developed-Low Intensity 23,Developed-Medium Intensity 24,Developed-High Intensity 25,Developed-Roads The following categories comprise "wildland": [Tree Cover 10-100%] [Shrub Cover 10-100%] [Herb Cover 10-100%]
	Existing Vegetation Cover [lf-evc] v2.2.0. LANDFIRE"s (LF) Existing Vegetation Cover (EVC) represents the vertically projected percent cover of the live canopy layer for a 30-m cell. v2.2.0. LANDFIRE"s (LF) Existing Vegetation Cover (EVC) represents the vertically projected percent cover of the live canopy layer for a 30-m cell.
	Scott and Burgan 40 Fuel Models [lf-fbfm40] 40 Scott and Burgan Fire Behavior Fuel Model (FBFM40) represents distinct distributions of fuel loading found among surface fuel components (live and dead), size classes, and fuel types. This set contains more fuel models in... 40 Scott and Burgan Fire Behavior Fuel Model (FBFM40) represents distinct distributions of fuel loading found among surface fuel components (live and dead), size classes, and fuel types. This set contains more fuel models in every fuel type (grass, shrub, timber, slash) than Anderson"s set of 13. The number of fuel models representing relatively high dead fuel moisture content increased, and fuel models with an herbaceous component are now dynamic, meaning that loads shift between live and dead (to simulate curing of the herbaceous component) rather than remaining constant. View legend here: https://bin.ssec.wisc.edu/pub/realearth/landfire/Legend_for_FBFM40.png
	Slope Degrees [lf-slp] v2.2.0 Slope represents the change of elevation over a specific area. LF 2020 Update Slope Degree (SlpD) and Slope Percent Rise (SlpP) products (released February 2022) are generated from 1 arc-second Digital Elevation... v2.2.0 Slope represents the change of elevation over a specific area. LF 2020 Update Slope Degree (SlpD) and Slope Percent Rise (SlpP) products (released February 2022) are generated from 1 arc-second Digital Elevation Models (DEM) tiles (approximately 30 meter) downloaded November 9, 2021 from The National Map (TNM) Viewer (v2.0), part of the USGS 3D Elevation Program (3DEP) which provides the best available public domain raster elevation data of the conterminous United States (CONUS), Alaska, Hawaii, and insular areas.

Lightning

10 products

NGFS - TEST

3 products

Observations

Other

5 products

Persistent Anomalies

6 products

VIIRS

14 products

WUI

5 products

	Canada Census Divisions [ca-census-divisions]
	Canada Census Subdivisions [ca-census-subdivisions]
	Canada Province Boundaries [ca-provinces-boundaries]
	Fire Weather Warnings [FireWeather]
	Large-Scale Solar Photovoltaic Database [SolarFarmDatabase] This data provides the locations and array boundaries of U.S. ground-mounted photovoltaic (PV) facilities with capacity of 1 megawatt or more. Large-scale facility data are collected and compiled from various... This data provides the locations and array boundaries of U.S. ground-mounted photovoltaic (PV) facilities with capacity of 1 megawatt or more. Large-scale facility data are collected and compiled from various public and private sources, digitized and position-verified from aerial imagery, and quality checked.
	Mexico Subnational Boundaries [mx-subnational-boundaries]
	National GACC Boundaries - NIFC [national-gacc-boundaries] Polygon boundaries from NIFC (National Interagency Fire Center) depicting the administrative area of Geographic Area Coordination Centers (GACC) across the USA used in incident management, including wildland fire. GACC... Polygon boundaries from NIFC (National Interagency Fire Center) depicting the administrative area of Geographic Area Coordination Centers (GACC) across the USA used in incident management, including wildland fire. GACC Boundaries may also be known as Tier 2 Dispatch Boundaries.
	National WFO Boundaries [national-wfo-boundaries]
	USA County Boundaries [usa-county-boundaries]
	USA State Boundaries [usa-state-boundaries]

	GOES East FDC - CONUS [goes-east-C-FDC] goes-east-C-FDC goes-east-C-FDC
	GOES East FDC - FD [goes-east-F-FDC] The GOES-R Fire Detection and Characterization (FDC) data product uses both visible and infrared (IR) ABI spectral channels (or bands) to locate fires and retrieve fire characteristics. Fires produce a stronger signal in... The GOES-R Fire Detection and Characterization (FDC) data product uses both visible and infrared (IR) ABI spectral channels (or bands) to locate fires and retrieve fire characteristics. Fires produce a stronger signal in mid-wave IR bands (around 4 µm) than they do in longwave IR bands (such as 11 µm). That differential response forms the basis for the GOES-R FDC product. The 3.9 µm ABI band is particularly useful for fire detection. Its shorter wavelength is sensitive to the hottest part of a fire pixel. Right-click to "Probe" pixel value. 10-15 indicates first detection. 30-35 indicates multiple detections in the past 12 hours.
	GOES East FDC - Meso1 [goes-east-M1-FDC] goes-east-M1-FDC goes-east-M1-FDC
	GOES East FDC - Meso2 [goes-east-M2-FDC] goes-east-M2-FDC goes-east-M2-FDC
	GOES East FDC Contours - CONUS [goes-east-C-FDC-contours] goes-east-C-FDC-contours goes-east-C-FDC-contours
	GOES East FDC Contours - FD [goes-east-F-FDC-contours]
	GOES East FDC Contours - Meso1 [goes-east-M1-FDC-contours] goes-east-M1-FDC-contours goes-east-M1-FDC-contours
	GOES East FDC Contours - Meso2 [goes-east-M2-FDC-contours] goes-east-M2-FDC-contours goes-east-M2-FDC-contours
	GOES East FDC FRP - CONUS [goes-east-C-FDC-FRP] goes-east-C-FDC-FRP goes-east-C-FDC-FRP
	GOES East FDC FRP - FD [goes-east-F-FDC-FRP]
	GOES East FDC FRP - Meso1 [goes-east-M1-FDC-FRP] goes-east-M1-FDC-FRP goes-east-M1-FDC-FRP
	GOES East FDC FRP - Meso2 [goes-east-M2-FDC-FRP] goes-east-M2-FDC-FRP goes-east-M2-FDC-FRP
	GOES West FDC - CONUS [goes-west-C-FDC] goes-west-C-FDC goes-west-C-FDC
	GOES West FDC - FD [goes-west-F-FDC] goes-west-F-FDC goes-west-F-FDC
	GOES West FDC - Meso1 [goes-west-M1-FDC] goes-west-M1-FDC goes-west-M1-FDC
	GOES West FDC - Meso2 [goes-west-M2-FDC] goes-west-M2-FDC goes-west-M2-FDC
	GOES West FDC Contours - CONUS [goes-west-C-FDC-contours] goes-west-C-FDC-contours goes-west-C-FDC-contours
	GOES West FDC Contours - FD [goes-west-F-FDC-contours] goes-west-F-FDC-contours goes-west-F-FDC-contours
	GOES West FDC Contours - Meso1 [goes-west-M1-FDC-contours] goes-west-M1-FDC-contours goes-west-M1-FDC-contours
	GOES West FDC Contours - Meso2 [goes-west-M2-FDC-contours] goes-west-M2-FDC-contours goes-west-M2-FDC-contours
	GOES West FDC FRP - CONUS [goes-west-C-FDC-FRP] goes-west-C-FDC-FRP goes-west-C-FDC-FRP
	GOES West FDC FRP - FD [goes-west-F-FDC-FRP] goes-west-F-FDC-FRP goes-west-F-FDC-FRP
	GOES West FDC FRP - Meso1 [goes-west-M1-FDC-FRP] goes-west-M1-FDC-FRP goes-west-M1-FDC-FRP
	GOES West FDC FRP - Meso2 [goes-west-M2-FDC-FRP] goes-west-M2-FDC-FRP goes-west-M2-FDC-FRP

	GOES East Daily Fire Detections - CONUS [NGFS-DAILY-CONUS-EAST] This terrain-corrected product represents cumulative detections at the 2km ABI pixel level in a 24hr UTC day. For performance, serial repeat detections for the same pixel have been removed. The source data are CSV... This terrain-corrected product represents cumulative detections at the 2km ABI pixel level in a 24hr UTC day. For performance, serial repeat detections for the same pixel have been removed. The source data are CSV files from the link below.
	GOES East Fire Events (TC Points) - CONUS [NGFS-EVENTS-CONUS-EAST]
	GOES East Scene Fire Detections - CONUS [NGFS-SCENE-CONUS-EAST] Pixel-level fire radiative power estimates from the CONUS scan of ABI on GOES East. Pixel corner point locations are terrain corrected. These data update every 5 minutes. Pixel-level fire radiative power estimates from the CONUS scan of ABI on GOES East. Pixel corner point locations are terrain corrected. These data update every 5 minutes.
	GOES East Scene Fire Detections - Mesoscale1 [NGFS-SCENE-Mesoscale1-EAST] Pixel-level fire radiative power estimates from the Mesoscale-1 scan of ABI on GOES East. Pixel corner point locations are terrain corrected. These data update every minute. Pixel-level fire radiative power estimates from the Mesoscale-1 scan of ABI on GOES East. Pixel corner point locations are terrain corrected. These data update every minute.
	GOES East Scene Fire Detections - Mesoscale2 [NGFS-SCENE-Mesoscale2-EAST] Pixel-level fire radiative power estimates from the Mesoscale-2 scan of ABI on GOES East. Pixel corner point locations are terrain corrected. These data update every minute. Pixel-level fire radiative power estimates from the Mesoscale-2 scan of ABI on GOES East. Pixel corner point locations are terrain corrected. These data update every minute.
	GOES West Daily Fire Detections - CONUS [NGFS-DAILY-CONUS-WEST] This terrain-corrected product represents cumulative detections at the 2km ABI pixel level in a 24hr UTC day. For performance, serial repeat detections for the same pixel have been removed. The source data are CSV... This terrain-corrected product represents cumulative detections at the 2km ABI pixel level in a 24hr UTC day. For performance, serial repeat detections for the same pixel have been removed. The source data are CSV files from the link below.
	GOES West Fire Events (TC Points) - CONUS [NGFS-EVENTS-CONUS-WEST]
	GOES West Scene Fire Detections - CONUS [NGFS-SCENE-CONUS-WEST] Pixel-level fire radiative power estimates from the CONUS scan of ABI on GOES West. Pixel corner point locations are terrain corrected. These data update every 5 minutes. Pixel-level fire radiative power estimates from the CONUS scan of ABI on GOES West. Pixel corner point locations are terrain corrected. These data update every 5 minutes.
	GOES West Scene Fire Detections - Full Disk [NGFS-SCENE-FD-WEST] Pixel-level fire radiative power estimates from the Full Disk scan of ABI on GOES West. Pixel corner point locations are terrain corrected. These data update every 5 minutes. Pixel-level fire radiative power estimates from the Full Disk scan of ABI on GOES West. Pixel corner point locations are terrain corrected. These data update every 5 minutes.
	GOES West Scene Fire Detections - Mesoscale1 [NGFS-SCENE-Mesoscale1-WEST] Pixel-level fire radiative power estimates from the Mesoscale-1 scan of ABI on GOES West. Pixel corner point locations are terrain corrected. These data update every minute. Pixel-level fire radiative power estimates from the Mesoscale-1 scan of ABI on GOES West. Pixel corner point locations are terrain corrected. These data update every minute.
	GOES West Scene Fire Detections - Mesoscale2 [NGFS-SCENE-Mesoscale2-WEST] Pixel-level fire radiative power estimates from the Mesoscale-2 scan of ABI on GOES West. Pixel corner point locations are terrain corrected. These data update every minute. Pixel-level fire radiative power estimates from the Mesoscale-2 scan of ABI on GOES West. Pixel corner point locations are terrain corrected. These data update every minute.

	GOES East Band-2 - CONUS [G16-C-BAND02-TC] G16-C-BAND02-TC G16-C-BAND02-TC
	GOES East Band-7 - CONUS [G16-C-BAND07-TC] G16-C-BAND07-TC G16-C-BAND07-TC
	GOES East Band-13 - CONUS [G16-C-BAND13-TC] G16-C-BAND13-TC G16-C-BAND13-TC
	GOES East Daily Fire Detections - CONUS [NGFS-DAILY-CONUS-EAST] This terrain-corrected product represents cumulative detections at the 2km ABI pixel level in a 24hr UTC day. For performance, serial repeat detections for the same pixel have been removed. The source data are CSV... This terrain-corrected product represents cumulative detections at the 2km ABI pixel level in a 24hr UTC day. For performance, serial repeat detections for the same pixel have been removed. The source data are CSV files from the link below.
	GOES East Day Fire RGB - CONUS [G16-C-DayFire-TC] G16-C-DayFire-TC G16-C-DayFire-TC
	GOES East Fire Events (TC Points) - CONUS [NGFS-EVENTS-CONUS-EAST]
	GOES East Fire Temp RGB - CONUS [G16-C-FireTemp-TC] G16-C-FireTemp-TC G16-C-FireTemp-TC
	GOES East GeoColor - CONUS [G16-C-GeoColor-TC] G16-C-GeoColor-TC G16-C-GeoColor-TC
	GOES East Microphysics - CONUS [G16-C-NGFSMicrophysics-TC] G16-C-NGFSMicrophysics-TC G16-C-NGFSMicrophysics-TC
	GOES East Scene Fire Detections - CONUS [NGFS-SCENE-CONUS-EAST] Pixel-level fire radiative power estimates from the CONUS scan of ABI on GOES East. Pixel corner point locations are terrain corrected. These data update every 5 minutes. Pixel-level fire radiative power estimates from the CONUS scan of ABI on GOES East. Pixel corner point locations are terrain corrected. These data update every 5 minutes.

	GOES East Band-2 - FD [G16-F-BAND02-TC] G16-F-BAND02-TC G16-F-BAND02-TC
	GOES East Band-7 - FD [G16-F-BAND07-TC] G16-F-BAND07-TC G16-F-BAND07-TC
	GOES East Band-13 - FD [G16-F-BAND13-TC] G16-F-BAND13-TC G16-F-BAND13-TC
	GOES East Day Fire RGB - FD [G16-F-DayFire-TC] G16-F-DayFire-TC G16-F-DayFire-TC
	GOES East Fire Temp RGB - FD [G16-F-FireTemp-TC] G16-F-FireTemp-TC G16-F-FireTemp-TC
	GOES East GeoColor - FD [G16-F-GeoColor-TC] G16-F-GeoColor-TC G16-F-GeoColor-TC
	GOES East Microphysics - FD [G16-F-NGFSMicrophysics-TC] G16-F-NGFSMicrophysics-TC G16-F-NGFSMicrophysics-TC

	Wildland Fire Locations - 24 Hour [WFIGS-24Hour]
	Wildland Fire Locations - Current [WFIGS-Current] The Wildland Fire Interagency Geospatial Services (WFIGS) Group provides authoritative geospatial data products under the interagency Wildland Fire Data Program. Hosted in the National Interagency Fire Center ArcGIS Online... The Wildland Fire Interagency Geospatial Services (WFIGS) Group provides authoritative geospatial data products under the interagency Wildland Fire Data Program. Hosted in the National Interagency Fire Center ArcGIS Online Organization (The NIFC Org), WFIGS provides both internal and public facing data, accessible in a variety of formats.
	Wildland Fire Perimeters - Current [WFIGS-Perimeters]

	GOES East Band-2 - Meso1 [G16-M1-BAND02-TC] G16-M1-BAND02-TC G16-M1-BAND02-TC
	GOES East Band-7 - Meso1 [G16-M1-BAND07-TC] G16-M1-BAND07-TC G16-M1-BAND07-TC
	GOES East Band-13 - Meso1 [G16-M1-BAND13-TC] G16-M1-BAND13-TC G16-M1-BAND13-TC
	GOES East Day Fire RGB - Meso1 [G16-M1-DayFire-TC] G16-M1-DayFire-TC G16-M1-DayFire-TC
	GOES East Fire Temp RGB - Meso1 [G16-M1-FireTemp-TC] G16-M1-FireTemp-TC G16-M1-FireTemp-TC
	GOES East GeoColor - Meso1 [G16-M1-GeoColor-TC] G16-M1-GeoColor-TC G16-M1-GeoColor-TC
	GOES East Microphysics - Meso1 [G16-M1-NGFSMicrophysics-TC] G16-M1-NGFSMicrophysics-TC G16-M1-NGFSMicrophysics-TC
	GOES East Scene Fire Detections - Mesoscale1 [NGFS-SCENE-Mesoscale1-EAST] Pixel-level fire radiative power estimates from the Mesoscale-1 scan of ABI on GOES East. Pixel corner point locations are terrain corrected. These data update every minute. Pixel-level fire radiative power estimates from the Mesoscale-1 scan of ABI on GOES East. Pixel corner point locations are terrain corrected. These data update every minute.

	GOES East Band-2 - Meso2 [G16-M2-BAND02-TC] G16-M2-BAND02-TC G16-M2-BAND02-TC
	GOES East Band-7 - Meso2 [G16-M2-BAND07-TC] G16-M2-BAND07-TC G16-M2-BAND07-TC
	GOES East Band-13 - Meso2 [G16-M2-BAND13-TC] G16-M2-BAND13-TC G16-M2-BAND13-TC
	GOES East Day Fire RGB - Meso2 [G16-M2-DayFire-TC] G16-M2-DayFire-TC G16-M2-DayFire-TC
	GOES East Fire Temp RGB - Meso2 [G16-M2-FireTemp-TC] G16-M2-FireTemp-TC G16-M2-FireTemp-TC
	GOES East GeoColor - Meso2 [G16-M2-GeoColor-TC] G16-M2-GeoColor-TC G16-M2-GeoColor-TC
	GOES East Microphysics - Meso2 [G16-M2-NGFSMicrophysics-TC] G16-M2-NGFSMicrophysics-TC G16-M2-NGFSMicrophysics-TC
	GOES East Scene Fire Detections - Mesoscale2 [NGFS-SCENE-Mesoscale2-EAST] Pixel-level fire radiative power estimates from the Mesoscale-2 scan of ABI on GOES East. Pixel corner point locations are terrain corrected. These data update every minute. Pixel-level fire radiative power estimates from the Mesoscale-2 scan of ABI on GOES East. Pixel corner point locations are terrain corrected. These data update every minute.

	GOES West Band-2 - CONUS [G18-C-BAND02-TC] G18-C-BAND02-TC G18-C-BAND02-TC
	GOES West Band-7 - CONUS [G18-C-BAND07-TC] G18-C-BAND07-TC G18-C-BAND07-TC
	GOES West Band-13 - CONUS [G18-C-BAND13-TC] G18-C-BAND13-TC G18-C-BAND13-TC
	GOES West Daily Fire Detections - CONUS [NGFS-DAILY-CONUS-WEST] This terrain-corrected product represents cumulative detections at the 2km ABI pixel level in a 24hr UTC day. For performance, serial repeat detections for the same pixel have been removed. The source data are CSV... This terrain-corrected product represents cumulative detections at the 2km ABI pixel level in a 24hr UTC day. For performance, serial repeat detections for the same pixel have been removed. The source data are CSV files from the link below.
	GOES West Day Fire RGB - CONUS [G18-C-DayFire-TC] G18-C-DayFire-TC G18-C-DayFire-TC
	GOES West Fire Events (TC Points) - CONUS [NGFS-EVENTS-CONUS-WEST]
	GOES West Fire Temp RGB - CONUS [G18-C-FireTemp-TC] G18-C-FireTemp-TC G18-C-FireTemp-TC
	GOES West GeoColor - CONUS [G18-C-GeoColor-TC] G18-C-GeoColor-TC G18-C-GeoColor-TC
	GOES West Microphysics - CONUS [G18-C-NGFSMicrophysics-TC] G18-C-NGFSMicrophysics-TC G18-C-NGFSMicrophysics-TC
	GOES West Scene Fire Detections - CONUS [NGFS-SCENE-CONUS-WEST] Pixel-level fire radiative power estimates from the CONUS scan of ABI on GOES West. Pixel corner point locations are terrain corrected. These data update every 5 minutes. Pixel-level fire radiative power estimates from the CONUS scan of ABI on GOES West. Pixel corner point locations are terrain corrected. These data update every 5 minutes.

	GOES West Band-2 - FD [G18-F-BAND02-TC] G18-F-BAND02-TC G18-F-BAND02-TC
	GOES West Band-7 - FD [G18-F-BAND07-TC] G18-F-BAND07-TC G18-F-BAND07-TC
	GOES West Band-13 - FD [G18-F-BAND13-TC] G18-F-BAND13-TC G18-F-BAND13-TC
	GOES West Day Fire RGB - FD [G18-F-DayFire-TC] G18-F-DayFire-TC G18-F-DayFire-TC
	GOES West Fire Temp RGB - FD [G18-F-FireTemp-TC] G18-F-FireTemp-TC G18-F-FireTemp-TC
	GOES West GeoColor - FD [G18-F-GeoColor-TC] G18-F-GeoColor-TC G18-F-GeoColor-TC
	GOES West Microphysics - FD [G18-F-NGFSMicrophysics-TC] G18-F-NGFSMicrophysics-TC G18-F-NGFSMicrophysics-TC
	GOES West Scene Fire Detections - Full Disk [NGFS-SCENE-FD-WEST] Pixel-level fire radiative power estimates from the Full Disk scan of ABI on GOES West. Pixel corner point locations are terrain corrected. These data update every 5 minutes. Pixel-level fire radiative power estimates from the Full Disk scan of ABI on GOES West. Pixel corner point locations are terrain corrected. These data update every 5 minutes.

	GOES West Band-2 - Meso1 [G18-M1-BAND02-TC] G18-M1-BAND02-TC G18-M1-BAND02-TC
	GOES West Band-7 - Meso1 [G18-M1-BAND07-TC] G18-M1-BAND07-TC G18-M1-BAND07-TC
	GOES West Band-13 - Meso1 [G18-M1-BAND13-TC] G18-M1-BAND13-TC G18-M1-BAND13-TC
	GOES West Day Fire RGB - Meso1 [G18-M1-DayFire-TC] G18-M1-DayFire-TC G18-M1-DayFire-TC
	GOES West Fire Temp RGB - Meso1 [G18-M1-FireTemp-TC] G18-M1-FireTemp-TC G18-M1-FireTemp-TC
	GOES West GeoColor - Meso1 [G18-M1-GeoColor-TC] G18-M1-GeoColor-TC G18-M1-GeoColor-TC
	GOES West Microphysics - Meso1 [G18-M1-NGFSMicrophysics-TC] G18-M1-NGFSMicrophysics-TC G18-M1-NGFSMicrophysics-TC
	GOES West Scene Fire Detections - Mesoscale1 [NGFS-SCENE-Mesoscale1-WEST] Pixel-level fire radiative power estimates from the Mesoscale-1 scan of ABI on GOES West. Pixel corner point locations are terrain corrected. These data update every minute. Pixel-level fire radiative power estimates from the Mesoscale-1 scan of ABI on GOES West. Pixel corner point locations are terrain corrected. These data update every minute.

	GOES West Band-2 - Meso2 [G18-M2-BAND02-TC] G18-M2-BAND02-TC G18-M2-BAND02-TC
	GOES West Band-7 - Meso2 [G18-M2-BAND07-TC] G18-M2-BAND07-TC G18-M2-BAND07-TC
	GOES West Band-13 - Meso2 [G18-M2-BAND13-TC] G18-M2-BAND13-TC G18-M2-BAND13-TC
	GOES West Day Fire RGB - Meso2 [G18-M2-DayFire-TC] G18-M2-DayFire-TC G18-M2-DayFire-TC
	GOES West Fire Temp RGB - Meso2 [G18-M2-FireTemp-TC] G18-M2-FireTemp-TC G18-M2-FireTemp-TC
	GOES West GeoColor - Meso2 [G18-M2-GeoColor-TC] G18-M2-GeoColor-TC G18-M2-GeoColor-TC
	GOES West Microphysics - Meso2 [G18-M2-NGFSMicrophysics-TC] G18-M2-NGFSMicrophysics-TC G18-M2-NGFSMicrophysics-TC
	GOES West Scene Fire Detections - Mesoscale2 [NGFS-SCENE-Mesoscale2-WEST] Pixel-level fire radiative power estimates from the Mesoscale-2 scan of ABI on GOES West. Pixel corner point locations are terrain corrected. These data update every minute. Pixel-level fire radiative power estimates from the Mesoscale-2 scan of ABI on GOES West. Pixel corner point locations are terrain corrected. These data update every minute.

	GOES-East GLM FED CONUS [GOESEastGLMFEDRadC] GOES-East flash-extent density, a 5-min accumulation of flashes at each point. GOES-East flash-extent density, a 5-min accumulation of flashes at each point.
	GOES-West GLM FED CONUS [GOESWestGLMFEDRadC] GOES-West flash-extent density, a 5-min accumulation of flashes at each point. GOES-West flash-extent density, a 5-min accumulation of flashes at each point.
	LightningCast GOES-East CONUS [PLTGGOESEastRadC] An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data. An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data.
	LightningCast GOES-East FD (OCONUS) [PLTGGOESEastRadF] An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data. An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data.
	LightningCast GOES-East MESO1 [PLTGGOESEastRadM1] An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data. An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data.
	LightningCast GOES-East MESO2 [PLTGGOESEastRadM2] An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data. An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data.
	LightningCast GOES-West Alaska/Western Canada [PLTGGOESWestRadFAKCAN] An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data. An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data.
	LightningCast GOES-West CONUS [PLTGGOESWestRadC] An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data. An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data.
	LightningCast GOES-West MESO1 [PLTGGOESWestRadM1] An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data. An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data.
	LightningCast GOES-West MESO2 [PLTGGOESWestRadM2] An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data. An AI model that predicts the probability of lightning in the next 60 minutes using GOES-R ABI data.

	TEST: GOES East Daily Fire Detections - CONUS [NGFS-DAILY-CONUS-EAST-TEST] This terrain-corrected product represents cumulative detections at the 2km ABI pixel level in a 24hr UTC day. For performance, serial repeat detections for the same pixel have been removed. The source data are CSV... This terrain-corrected product represents cumulative detections at the 2km ABI pixel level in a 24hr UTC day. For performance, serial repeat detections for the same pixel have been removed. The source data are CSV files from the link below.
	TEST: GOES East Fire Events (TC Points) - CONUS [NGFS-EVENTS-CONUS-EAST-TEST]
	TEST: GOES East Scene Fire Detections - CONUS [NGFS-SCENE-CONUS-EAST-TEST] Pixel-level fire radiative power estimates from the CONUS scan of ABI on GOES East. Pixel corner point locations are terrain corrected. These data update every 5 minutes. Pixel-level fire radiative power estimates from the CONUS scan of ABI on GOES East. Pixel corner point locations are terrain corrected. These data update every 5 minutes.

	BAER Region 5 Preliminary DNBR Maps for 2024 [Region-5-Preliminary-DNBR-2024] DNBR images of fires that occurred in USFS Region 5 in 2024. This imagery is produced and distributed by the BAER imagery support program. The Burned Area Emergency Response (BAER) is a program in the Forest Service and... DNBR images of fires that occurred in USFS Region 5 in 2024. This imagery is produced and distributed by the BAER imagery support program. The Burned Area Emergency Response (BAER) is a program in the Forest Service and Department of the Interior designed to determine the need for and to prescribe and implement emergency treatments on Federal Lands. This is preliminary data that has not been verified by a BAER team assessment
	BAER Region 5 Soil Burn Severity Maps for 2024 [Region-5-Soil-Burn-Severity] Burn severity maps of fires that occurred in USFS Region 5 in 2024. This imagery is produced and distributed by the BAER imagery support program. The Burned Area Emergency Response (BAER) is a program in the Forest... Burn severity maps of fires that occurred in USFS Region 5 in 2024. This imagery is produced and distributed by the BAER imagery support program. The Burned Area Emergency Response (BAER) is a program in the Forest Service and Department of the Interior designed to determine the need for and to prescribe and implement emergency treatments on Federal Lands. This data has been validated by BAER team assessment.
	noaa20-GRANULE-I04 [noaa20-GRANULE-I04] noaa20-GRANULE-I04 noaa20-GRANULE-I04
	U.S. Electric Power Transmission Lines [PowerLineDatabase] Electric power transmission lines in the United States Electric power transmission lines in the United States
	Wildland Urban Interface by Decade [WUI-Decade-Change-FULL] The purpose of this data is to provide a spatially detailed national assessment of the Wildland Urban Interface (WUI) and WUI change between 1990 and 2020 across the coterminous U.S. to support wildland fire... The purpose of this data is to provide a spatially detailed national assessment of the Wildland Urban Interface (WUI) and WUI change between 1990 and 2020 across the coterminous U.S. to support wildland fire research, policy and management, and inquiries into the effects of housing growth on the environment.

Collection:
	211 products in 24 categories

	2024 USGS Large-Scale Solar Photovoltaic Database [USGS-Solar-Farm-database] The United States Large-Scale Solar Photovoltaic Database (USPVDB) provides the locations and array boundaries of U.S. ground-mounted photovoltaic (PV) facilities with capacity of 1 megawatt or more. This a most current version... The United States Large-Scale Solar Photovoltaic Database (USPVDB) provides the locations and array boundaries of U.S. ground-mounted photovoltaic (PV) facilities with capacity of 1 megawatt or more. This a most current version of the database, produced by the USGS in August 2024.
	PA - Colorado School of Mines (Monthly aggregation raster) [csm-month-image]
	PA - Colorado School of Mines (VIIRS) [persistent-anomalies-csm] This is a sample collection of persistent anomalies detected at night using the VIIRS M-bands and DNB (Day/Night) panchromatic band by the Earth Observation Group at the Payne Institute for Public Policy, Colorado School... This is a sample collection of persistent anomalies detected at night using the VIIRS M-bands and DNB (Day/Night) panchromatic band by the Earth Observation Group at the Payne Institute for Public Policy, Colorado School of Mines. Citation: Elvidge, Christopher D., Mikhail Zhizhin, Feng-Chi Hsu, and Kimberly E. Baugh. “VIIRS nightfire: Satellite pyrometry at night.” Remote Sensing 5, no. 9 (2013): 4423-4449.
	PA - NGFS [persistent-anomalies-ngfs] Persistent Anomalies identified by SSEC (primarily Solar Farms) Persistent Anomalies identified by SSEC (primarily Solar Farms)
	PA - SSEC VOLCAT [persistent-anomalies-volcat] Lists 6,424 detections from 2018-01-01 through 2020-08-09. 15 categories, similar to STAR PAs but with only a few (8) volcanoes. Lists 6,424 detections from 2018-01-01 through 2020-08-09. 15 categories, similar to STAR PAs but with only a few (8) volcanoes.
	PA - STAR [persistent-anomalies-star] 2019-09-14, showing 12,248 polygons and 1,430 points (volcanoes only). Most common: Oli/Gas 68.8% ferrous-metal 12.2% coal-processing 9% Nonmetal mineral 6.1% VIIRS 375 2013-2018 1.8% gas flare(s) 1.2% Solar Panel 0.8% 2019-09-14, showing 12,248 polygons and 1,430 points (volcanoes only). Most common: Oli/Gas 68.8% ferrous-metal 12.2% coal-processing 9% Nonmetal mineral 6.1% VIIRS 375 2013-2018 1.8% gas flare(s) 1.2% Solar Panel 0.8%

	NOAA-20 Day Fire RGB [noaa20-GRANULE-DayFire] noaa20-GRANULE-DayFire noaa20-GRANULE-DayFire
	NOAA-20 Fire Temp RGB [noaa20-GRANULE-FireTemp] noaa20-GRANULE-FireTemp noaa20-GRANULE-FireTemp
	NOAA-20 GeoColor [noaa20-GRANULE-GeoColor] noaa20-GRANULE-GeoColor noaa20-GRANULE-GeoColor
	NOAA-20 Microphysics [noaa20-GRANULE-NGFSMicrophysics] noaa20-GRANULE-NGFSMicrophysics noaa20-GRANULE-NGFSMicrophysics
	NOAA-21 Day Fire RGB [noaa21-GRANULE-DayFire] noaa21-GRANULE-DayFire noaa21-GRANULE-DayFire
	NOAA-21 Fire Temp RGB [noaa21-GRANULE-FireTemp] noaa21-GRANULE-FireTemp noaa21-GRANULE-FireTemp
	NOAA-21 GeoColor [noaa21-GRANULE-GeoColor] noaa21-GRANULE-GeoColor noaa21-GRANULE-GeoColor
	NOAA-21 I04 [noaa21-GRANULE-I04] noaa21-GRANULE-I04 noaa21-GRANULE-I04
	NOAA-21 Microphysics [noaa21-GRANULE-NGFSMicrophysics] noaa21-GRANULE-NGFSMicrophysics noaa21-GRANULE-NGFSMicrophysics
	SNPP Day Fire RGB [snpp-GRANULE-DayFire] snpp-GRANULE-DayFire snpp-GRANULE-DayFire
	SNPP Fire Temp RGB [snpp-GRANULE-FireTemp] snpp-GRANULE-FireTemp snpp-GRANULE-FireTemp
	SNPP GeoColor [snpp-GRANULE-GeoColor] snpp-GRANULE-GeoColor snpp-GRANULE-GeoColor
	SNPP I04 [snpp-GRANULE-I04] snpp-GRANULE-I04 snpp-GRANULE-I04
	SNPP Microphysics [snpp-GRANULE-NGFSMicrophysics] snpp-GRANULE-NGFSMicrophysics snpp-GRANULE-NGFSMicrophysics

	Building Counts (CONUS) [wui-conus-build-count] Each grid cell has a value indicating how many building centroids fall within that grid cell. Each grid cell has a value indicating how many building centroids fall within that grid cell.
	Building Count Within 1500m of WUI [wui-conus-build-count-1500m] Each grid cell has a value indicating how many building centroids fall within 1,500 meters of that grid cell. Modified date: 2021-12-09 Each grid cell has a value indicating how many building centroids fall within 1,500 meters of that grid cell. Modified date: 2021-12-09
	North American Wildland Urban Interface [WUI-Global] Global WUI Global WUI
	Wildland Urban Interface - 1500m [wui-conus-1500m] Yellow: 1 - the intermix, where there is at least 50% vegetation cover surrounding buildings Red: 2 - the interface, where buildings are within 2.4 km of a patch of vegetation at least 5 km2 in size that contains at... Yellow: 1 - the intermix, where there is at least 50% vegetation cover surrounding buildings Red: 2 - the interface, where buildings are within 2.4 km of a patch of vegetation at least 5 km2 in size that contains at least 75% vegetation. Both classes required a minimum building density of 6.17 buildings per km2. Maps of intermix and interface WUI were generated using a range of circular neighborhood sizes, based on radius distances from 100 – 1,500 m, to determine building density and vegetation cover on a pixel-by-pixel basis (Bar Massada et al., 2013).
	Wildland Urban Interface and Intermix by Decade [WUIbyDecade] The purpose of this data is to provide a spatially detailed national assessment of the Wildland Urban Interface (WUI) and WUI change between 1990 and 2020 across the coterminous U.S. to support wildland fire... The purpose of this data is to provide a spatially detailed national assessment of the Wildland Urban Interface (WUI) and WUI change between 1990 and 2020 across the coterminous U.S. to support wildland fire research, policy and management, and inquiries into the effects of housing growth on the environment.