RealEarth™ Product Listing

Ancillary

15 products

	AICC Wildland Protection Agency [ak-dashboards]
	Alaska Fire Management Options [ak-management]
	Alaska Wildland Fire Protection Responsibility [ak-responsibility]
	Anderson 13 Fuel Models - LANDFIRE [lf-f13]
	Canada Locales [ca-locales]
	Countries [country-boundaries]
	Mexico Locales [mx-locales]
	Persistent Anomalies [persistent-anomalies]
	US Federal Lands [us-fedlands]
	US GACC Boundaries - NIFC [us-gacc]
	US Locales [us-locales]
	US WFO Boundaries [us-wfo]
	Vegetation Cover - ESA [GLOBAL-EVC]
	Vegetation Cover - LANDFIRE [lf-evc]
	Water mask [GLOBAL-water]

FEDs

3 products

Fire Detection - FDC

24 products

Fire Detection - GOES

12 products

Fire Detection - VIIRS

9 products

Fire Detection - VIIRS AK

Fire Detection - VIIRS GINA

7 products

	Alaska-FirePerimeter-2025-AICC [Alaska-FirePerimeter-2025-AICC] Alaska-FirePerimeter-2025-AICC Alaska-FirePerimeter-2025-AICC
	NOAA-20 Fire Radiative Power VIIRS I-band - GINA [AFIMG-Points-j01-GINA] VIIRS 375m I-band high spatial resolution imagery provides a greater response over fires of relatively small areas and provides improved mapping of large fire perimeters. The 375m data also has improved nighttime... VIIRS 375m I-band high spatial resolution imagery provides a greater response over fires of relatively small areas and provides improved mapping of large fire perimeters. The 375m data also has improved nighttime performance. Consequently, these data are well suited for use in support of fire management (e.g., near real-time alert systems), as well as other science applications requiring improved fire mapping fidelity. These data represent mean fire radiative power from SNPP and NOAA-20 Direct Broadcast imagery processed with CSPP software at GINA.
	NOAA-21 Fire Radiative Power VIIRS I-band - GINA [AFIMG-Points-j02-GINA] VIIRS 375m I-band high spatial resolution imagery provides a greater response over fires of relatively small areas and provides improved mapping of large fire perimeters. The 375m data also has improved nighttime... VIIRS 375m I-band high spatial resolution imagery provides a greater response over fires of relatively small areas and provides improved mapping of large fire perimeters. The 375m data also has improved nighttime performance. Consequently, these data are well suited for use in support of fire management (e.g., near real-time alert systems), as well as other science applications requiring improved fire mapping fidelity. These data represent mean fire radiative power from SNPP and NOAA-20 Direct Broadcast imagery processed with CSPP software at GINA.
	NOAA20 Fire Detections - AK GINA (Experimental) [NGFS-SCENE-noaa20-GINA] This product is experimental This product is experimental
	NOAA21 Fire Detections - AK GINA (Experimental) [NGFS-SCENE-noaa21-GINA] This product is experimental This product is experimental
	SNPP Fire Detections - AK GINA (Experimental) [NGFS-SCENE-snpp-GINA] This product is experimental This product is experimental
	SNPP Fire Radiative Power VIIRS I-band - GINA [AFIMG-Points-npp-GINA] VIIRS 375m I-band high spatial resolution imagery provides a greater response over fires of relatively small areas and provides improved mapping of large fire perimeters. The 375m data also has improved nighttime... VIIRS 375m I-band high spatial resolution imagery provides a greater response over fires of relatively small areas and provides improved mapping of large fire perimeters. The 375m data also has improved nighttime performance. Consequently, these data are well suited for use in support of fire management (e.g., near real-time alert systems), as well as other science applications requiring improved fire mapping fidelity. These data represent mean fire radiative power from SNPP and NOAA-20 Direct Broadcast imagery processed with CSPP software at GINA.

Fire Detection - WFIGS

2 products

Historical Fire Data

10 products

Imagery - GOES East ConUS

8 products

Imagery - GOES East Full Disk

7 products

Imagery - GOES East Meso 1

8 products

Imagery - GOES East Meso 2

8 products

Imagery - GOES West ConUS

8 products

Imagery - GOES West Full Disk

7 products

Imagery - GOES West Meso 1

8 products

Imagery - GOES West Meso 2

8 products

Lightning

10 products

NGFS - TEST

2 products

NWS Fire Weather Alerts

Observations

Other

9 products

PyroCb

2 products

VIIRS

24 products

VIIRS - GINA

24 products

WUI

5 products

	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 East Scene Fire Detections - No.&So. America [NGFS-SCENE-FD-EAST] Pixel-level fire radiative power estimates from the Full Disk 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 Full Disk scan of ABI on GOES East. Pixel corner point locations are terrain corrected. These data update every 5 minutes.
	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.

	NOAA-20 Fire Detections - WI DB (Experimental) [NGFS-SCENE-noaa20] This product is experimental This product is experimental
	NOAA-20 Fire Radiative Power VIIRS I-band DB ConUS [AFIMG-Points-j01] VIIRS 375m I-band high spatial resolution imagery provides a greater response over fires of relatively small areas and provides improved mapping of large fire perimeters. The 375m data also has improved nighttime... VIIRS 375m I-band high spatial resolution imagery provides a greater response over fires of relatively small areas and provides improved mapping of large fire perimeters. The 375m data also has improved nighttime performance. Consequently, these data are well suited for use in support of fire management (e.g., near real-time alert systems), as well as other science applications requiring improved fire mapping fidelity. These data represent mean fire radiative power from SNPP and NOAA-20 Direct Broadcast imagery processed with CSPP software.
	NOAA-21 Fire Detections - WI DB (Experimental) [NGFS-SCENE-noaa21] This product is experimental This product is experimental
	NOAA-21 Fire Radiative Power VIIRS I-band DB ConUS [AFIMG-Points-j02] VIIRS 375m I-band high spatial resolution imagery provides a greater response over fires of relatively small areas and provides improved mapping of large fire perimeters. The 375m data also has improved nighttime... VIIRS 375m I-band high spatial resolution imagery provides a greater response over fires of relatively small areas and provides improved mapping of large fire perimeters. The 375m data also has improved nighttime performance. Consequently, these data are well suited for use in support of fire management (e.g., near real-time alert systems), as well as other science applications requiring improved fire mapping fidelity. These data represent mean fire radiative power from SNPP and NOAA-20 Direct Broadcast imagery processed with CSPP software.
	SNPP Fire Detections - WI DB (Experimental) [NGFS-SCENE-snpp] This product is experimental This product is experimental
	SNPP Fire Radiative Power VIIRS I-band DB ConUS [AFIMG-Points-npp] VIIRS 375m I-band high spatial resolution imagery provides a greater response over fires of relatively small areas and provides improved mapping of large fire perimeters. The 375m data also has improved nighttime... VIIRS 375m I-band high spatial resolution imagery provides a greater response over fires of relatively small areas and provides improved mapping of large fire perimeters. The 375m data also has improved nighttime performance. Consequently, these data are well suited for use in support of fire management (e.g., near real-time alert systems), as well as other science applications requiring improved fire mapping fidelity. These data represent mean fire radiative power from SNPP and NOAA-20 Direct Broadcast imagery processed with CSPP software.
	VIIRS Fire Detections - WI DB (Experimental) [NGFS-SCENE-VIIRS-WIDB] This product is experimental This product is experimental
	VIIRS Fire Detections Non-PA Confidence - WI DB (Experimental) [NGFS-SCENE-VIIRS-WIDB-Confidence] View of NGFS-SCENE-VIIRS-WIDB View of NGFS-SCENE-VIIRS-WIDB
	VIIRS Fire Detections PA Only - WI DB (Experimental) [NGFS-SCENE-VIIRS-WIDB-PA] View of NGFS-SCENE-VIIRS-WIDB View of NGFS-SCENE-VIIRS-WIDB

	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.
	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

	GOES East Ash RGB - CONUS [G19-C-VOLCATAsh-TC] G19-C-VOLCATAsh-TC G19-C-VOLCATAsh-TC
	GOES East Band-2 - CONUS [G19-C-BAND02-TC] G16-C-BAND02-TC G16-C-BAND02-TC
	GOES East Band-7 - CONUS [G19-C-BAND07-TC] G16-C-BAND07-TC G16-C-BAND07-TC
	GOES East Band-13 - CONUS [G19-C-BAND13-TC] G16-C-BAND13-TC G16-C-BAND13-TC
	GOES East Day Fire RGB - CONUS [G19-C-DayFire-TC] G16-C-DayFire-TC G16-C-DayFire-TC
	GOES East Fire Temp RGB - CONUS [G19-C-FireTemp-TC] G16-C-FireTemp-TC G16-C-FireTemp-TC
	GOES East GeoColor - CONUS [G19-C-GeoColor-TC] G16-C-GeoColor-TC G16-C-GeoColor-TC
	GOES East Microphysics - CONUS [G19-C-NGFSMicrophysics-TC] G16-C-NGFSMicrophysics-TC G16-C-NGFSMicrophysics-TC

	FEDs-RT-ABI-SSECDB-5min-buffer2000m [FEDs-RT-ABI-SSECDB-5min-buffer2000m] FEDs-RT-ABI-SSECDB-5min-buffer2000m FEDs-RT-ABI-SSECDB-5min-buffer2000m
	FEDs-RT-ABI-SSECDB-60min-buffer2000m [FEDs-RT-ABI-SSECDB-60min-buffer2000m] FEDs-RT-ABI-SSECDB-60min-buffer2000m FEDs-RT-ABI-SSECDB-60min-buffer2000m
	FEDs-RT-VIIRS-SSECDB-60min-buffer375m [FEDs-RT-VIIRS-SSECDB-60min-buffer375m] FEDs-RT-VIIRS-SSECDB-60min-buffer375m FEDs-RT-VIIRS-SSECDB-60min-buffer375m

	GOES East Ash RGB - FD [G19-F-VOLCATAsh-TC] G19-F-VOLCATAsh-TC G19-F-VOLCATAsh-TC
	GOES East Band-2 - FD [G19-F-BAND02-TC] G16-F-BAND02-TC G16-F-BAND02-TC
	GOES East Band-7 - FD [G19-F-BAND07-TC] G16-F-BAND07-TC G16-F-BAND07-TC
	GOES East Band-13 - FD [G19-F-BAND13-TC] G16-F-BAND13-TC G16-F-BAND13-TC
	GOES East Day Fire RGB - FD [G19-F-DayFire-TC] G16-F-DayFire-TC G16-F-DayFire-TC
	GOES East Fire Temp RGB - FD [G19-F-FireTemp-TC] G16-F-FireTemp-TC G16-F-FireTemp-TC
	GOES East Microphysics - FD [G19-F-NGFSMicrophysics-TC] G16-F-NGFSMicrophysics-TC G16-F-NGFSMicrophysics-TC

	GOES East Ash RGB - Meso1 [G19-M1-VOLCATAsh-TC] G19-M1-VOLCATAsh-TC G19-M1-VOLCATAsh-TC
	GOES East Band-2 - Meso1 [G19-M1-BAND02-TC] G16-M1-BAND02-TC G16-M1-BAND02-TC
	GOES East Band-7 - Meso1 [G19-M1-BAND07-TC] G16-M1-BAND07-TC G16-M1-BAND07-TC
	GOES East Band-13 - Meso1 [G19-M1-BAND13-TC] G16-M1-BAND13-TC G16-M1-BAND13-TC
	GOES East Day Fire RGB - Meso1 [G19-M1-DayFire-TC] G16-M1-DayFire-TC G16-M1-DayFire-TC
	GOES East Fire Temp RGB - Meso1 [G19-M1-FireTemp-TC] G16-M1-FireTemp-TC G16-M1-FireTemp-TC
	GOES East GeoColor - Meso1 [G19-M1-GeoColor-TC] G16-M1-GeoColor-TC G16-M1-GeoColor-TC
	GOES East Microphysics - Meso1 [G19-M1-NGFSMicrophysics-TC] G16-M1-NGFSMicrophysics-TC G16-M1-NGFSMicrophysics-TC

	GOES East Ash RGB - Meso2 [G19-M2-VOLCATAsh-TC] G19-M2-VOLCATAsh-TC G19-M2-VOLCATAsh-TC
	GOES East Band-2 - Meso2 [G19-M2-BAND02-TC] G16-M2-BAND02-TC G16-M2-BAND02-TC
	GOES East Band-7 - Meso2 [G19-M2-BAND07-TC] G16-M2-BAND07-TC G16-M2-BAND07-TC
	GOES East Band-13 - Meso2 [G19-M2-BAND13-TC] G16-M2-BAND13-TC G16-M2-BAND13-TC
	GOES East Day Fire RGB - Meso2 [G19-M2-DayFire-TC] G16-M2-DayFire-TC G16-M2-DayFire-TC
	GOES East Fire Temp RGB - Meso2 [G19-M2-FireTemp-TC] G16-M2-FireTemp-TC G16-M2-FireTemp-TC
	GOES East GeoColor - Meso2 [G19-M2-GeoColor-TC] G16-M2-GeoColor-TC G16-M2-GeoColor-TC
	GOES East Microphysics - Meso2 [G19-M2-NGFSMicrophysics-TC] G16-M2-NGFSMicrophysics-TC G16-M2-NGFSMicrophysics-TC

	GOES West Ash RGB - CONUS [G18-C-VOLCATAsh-TC] G18 C VOLCAT Ash TC G18 C VOLCAT Ash TC
	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 Day Fire RGB - CONUS [G18-C-DayFire-TC] G18-C-DayFire-TC G18-C-DayFire-TC
	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 Ash RGB - FD [G18-F-VOLCATAsh-TC] G18-F-VOLCATAsh-TC G18-F-VOLCATAsh-TC
	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 Microphysics - FD [G18-F-NGFSMicrophysics-TC] G18-F-NGFSMicrophysics-TC G18-F-NGFSMicrophysics-TC

	GOES West Ash RGB - Meso1 [G18-M1-VOLCATAsh-TC] G18-M1-VOLCATAsh-TC G18-M1-VOLCATAsh-TC
	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 Ash RGB - Meso2 [G18-M2-VOLCATAsh-TC] G18-M2-VOLCATAsh-TC G18-M2-VOLCATAsh-TC
	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-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.

	FEDs-RT-VIIRS-SSECDB-60min-buffer375m [FEDs-RT-VIIRS-SSECDB-60min-buffer375m] FEDs-RT-VIIRS-SSECDB-60min-buffer375m FEDs-RT-VIIRS-SSECDB-60min-buffer375m
	Firesheds-BuildingExposure-Alaska [Firesheds-BuildingExposure-Alaska]
	Firesheds-BuildingExposure-CONUS [Firesheds-BuildingExposure-CONUS]
	Firesheds-BuildingExposure-Hawaii [Firesheds-BuildingExposure-Hawaii]
	GOES East Band-7 (non-TC) [G19-ABI-CONUS-BAND07]
	GOES West Band-7 (non-TC) [G18-ABI-CONUS-BAND07]
	NWS Fire Weather Alerts [NWS-Fire-Weather]
	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:
	221 products in 26 categories

	NOAA-20 Day Fire RGB [n20-NAGG-DayFire] n20-NAGG-DayFire n20-NAGG-DayFire
	NOAA-20 Fire Temp RGB [n20-NAGG-FireTemp] n20-NAGG-FireTemp n20-NAGG-FireTemp
	NOAA-20 GeoColor [n20-NAGG-GeoColor] n20-NAGG-GeoColor n20-NAGG-GeoColor
	NOAA-20 I01 [n20-NAGG-I01] n20-NAGG-I01 n20-NAGG-I01
	NOAA-20 I04 [n20-NAGG-I04] n20-NAGG-I04 n20-NAGG-I04
	NOAA-20 I05 [n20-NAGG-I05] n20-NAGG-I05 n20-NAGG-I05
	NOAA-20 M12 [n20-NAGG-M12] n20-NAGG-M12 n20-NAGG-M12
	NOAA-20 Microphysics [n20-NAGG-NGFSMicrophysics] n20-NAGG-NGFSMicrophysics n20-NAGG-NGFSMicrophysics
	NOAA-21 Day Fire RGB [n21-NAGG-DayFire] n21-NAGG-DayFire n21-NAGG-DayFire
	NOAA-21 Fire Temp RGB [n21-NAGG-FireTemp] n21-NAGG-FireTemp n21-NAGG-FireTemp
	NOAA-21 GeoColor [n21-NAGG-GeoColor] n21-NAGG-GeoColor n21-NAGG-GeoColor
	NOAA-21 I01 [n21-NAGG-I01] n21-NAGG-I01 n21-NAGG-I01
	NOAA-21 I04 [n21-NAGG-I04] n21-NAGG-I04 n21-NAGG-I04
	NOAA-21 I05 [n21-NAGG-I05] n21-NAGG-I05 n21-NAGG-I05
	NOAA-21 M12 [n21-NAGG-M12] n21-NAGG-M12 n21-NAGG-M12
	NOAA-21 Microphysics [n21-NAGG-NGFSMicrophysics] n21-NAGG-NGFSMicrophysics n21-NAGG-NGFSMicrophysics
	SNPP Day Fire RGB [snpp-NAGG-DayFire] snpp-NAGG-DayFire snpp-NAGG-DayFire
	SNPP Fire Temp RGB [snpp-NAGG-FireTemp] snpp-NAGG-FireTemp snpp-NAGG-FireTemp
	SNPP GeoColor [snpp-NAGG-GeoColor] snpp-NAGG-GeoColor snpp-NAGG-GeoColor
	SNPP I01 [snpp-NAGG-I01] snpp-NAGG-I01 snpp-NAGG-I01
	SNPP I04 [snpp-NAGG-I04] snpp-NAGG-I04 snpp-NAGG-I04
	SNPP I05 [snpp-NAGG-I05] snpp-NAGG-I05 snpp-NAGG-I05
	SNPP M12 [snpp-NAGG-M12] snpp-NAGG-M12 snpp-NAGG-M12
	SNPP Microphysics [snpp-NAGG-NGFSMicrophysics] snpp-NAGG-NGFSMicrophysics snpp-NAGG-NGFSMicrophysics

	noaa20-GINA-DayFire [noaa20-GINA-DayFire]
	noaa20-GINA-DayLandCloud [noaa20-GINA-DayLandCloud]
	noaa20-GINA-FireTemp [noaa20-GINA-FireTemp]
	noaa20-GINA-GeoColor [noaa20-GINA-GeoColor]
	noaa20-GINA-I04 [noaa20-GINA-I04]
	noaa20-GINA-I05 [noaa20-GINA-I05]
	noaa20-GINA-M12 [noaa20-GINA-M12] noaa20-GINA-M12 noaa20-GINA-M12
	noaa20-GINA-NGFSMicrophysics [noaa20-GINA-NGFSMicrophysics]
	noaa21-GINA-DayFire [noaa21-GINA-DayFire]
	noaa21-GINA-DayLandCloud [noaa21-GINA-DayLandCloud]
	noaa21-GINA-FireTemp [noaa21-GINA-FireTemp]
	noaa21-GINA-GeoColor [noaa21-GINA-GeoColor]
	noaa21-GINA-I04 [noaa21-GINA-I04]
	noaa21-GINA-I05 [noaa21-GINA-I05]
	noaa21-GINA-M12 [noaa21-GINA-M12] noaa21-GINA-M12 noaa21-GINA-M12
	noaa21-GINA-NGFSMicrophysics [noaa21-GINA-NGFSMicrophysics]
	snpp-GINA-DayFire [snpp-GINA-DayFire]
	snpp-GINA-DayLandCloud [snpp-GINA-DayLandCloud]
	snpp-GINA-FireTemp [snpp-GINA-FireTemp]
	snpp-GINA-GeoColor [snpp-GINA-GeoColor]
	snpp-GINA-I04 [snpp-GINA-I04]
	snpp-GINA-I05 [snpp-GINA-I05]
	snpp-GINA-M12 [snpp-GINA-M12] snpp-GINA-M12 snpp-GINA-M12
	snpp-GINA-NGFSMicrophysics [snpp-GINA-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.