Landscape Fire and Resource Management Planning Tools (LANDFIRE)
Earth Resources Observation and Science Center (EROS)
U.S. Geological Survey (USGS)
Timothy Hatten, USGS PM
20230501
LANDFIRE 2022 Fuel Vegetation Type (FVT) CONUS
LF 2022
raster digital data
Sioux Falls, SD
Earth Resources Observation and Science Center (EROS), U.S. Geological Survey
https://www.landfire.gov
https://doi.org/10.5066/P974JF8W
LANDFIRE (LF) 2022 Fuel Vegetation Type (FVT) represents the LF Existing Vegetation Type Ecological Systems (EVT) product, modified to represent pre-disturbance EVT in areas where disturbances have occurred over the past 10 years. Due to shifting EVT codes and labels throughout the years, the FVT codes are based on an early version of EVT codes translated from the current version. FVT is an input for fuel transitions related to disturbance. Fuel products in LF 2022 were created with LF 2016 Remap vegetation in non-disturbed areas.
To designate disturbed areas where FVT is modified, the aggregated Annual Disturbance products from 2013 to 2022 in the Fuel Disturbance (FDist) product are used. All existing disturbances between 2013-2022 are represented in the LF 2022 update, and the products are intended to be used in 2023 (the year of release). The "capable" year terminology used in LF 2020 and LF 2016 Remap is no longer specified, due to reduction in latency from when a disturbance occurs to the release date of fuel products accounting for that disturbance. However, users should still consider adjusting fuel layers for disturbances that occurred after the end of the 2022 fiscal year (after October 1st, 2022) when using the LF 2022 fuel products. Because those changes would not be accounted for. Learn more about LF 2022 at https://landfire.gov/lf_230.php
The LANDFIRE 2022 Update (LF 2022) is designed to produce vegetation, disturbance, and fuels products that inform wildland fire and ecological decision systems. LF 2022 is another update to the LF 2016 Remap base map and LF 2020, it includes adjustments to vegetation and fuels in disturbed areas for disturbances recorded in 2021 and 2022. Disturbances in 2022 represent the first full fiscal year of disturbance. Transition rulesets for vegetation account for disturbances from 2017 to 2022 while fuel updates utilize 2012 to 2022 disturbances. In LF 2022 Existing Vegetation Type (EVT) Ecological Systems classifications are the same as LF 2020, except in areas where agriculture or urban areas have changed. LF 2022 contains the first application of the "zero to one" Time Since Disturbance (TSD) rules for EVC and EVH transition rules. Both LF Existing Vegetation Cover (EVC) and Height (EVH), as well as all fuels products, are 2023 capable in disturbed areas.
LF 2022 products are designed to facilitate national and regional level strategic fire and resource management planning and reporting of management activities. The principal purposes of the products include providing, 1) national level, landscape scale geospatial products to support fire and fuels management planning, and 2) consistent fuels products to support fire planning, analysis, and budgeting to evaluate fire management alternatives.
Products are created at a 30 meter raster; however, the applicability of products varies by location and specific use. LF products were designed to support 1) national (all states) strategic planning, 2) regional (single large states or groups of smaller states), and 3) strategic/tactical planning for large sub regional landscapes and Fire Management Units (FMUs) (such as significant portions of states or multiple federal administrative entities). The applicability of LF products to support fire and land management planning on smaller areas will vary by product, location, and specific use. Managers and planners must evaluate LF products according to the scale and requirements specific to their needs.
Beginning in the LF 2020 update and continued into the LF 2022 update, all CONUS products are created with a 90km buffer into both Canada and Mexico. The data in this buffer was last updated in LF 2020. LF 2022 AK products also feature a 90km buffer into Canada, but this buffer was last updated with new data in LF 2016 Remap. The following LF 2022 products have 2023 capability functionality: EVH, EVC, CBD, CBH, CC, CH, F13, F40, FVC, FVH, FVT, CFFDRS, and FDist.
2022
ground condition
Annually
-127.9878
-65.2544
51.6497
22.7654
ISO 19115 Topic Category
imageryBaseMapsEarthCover
biota
USGS Thesaurus
fires
hazard preparedness
remote sensing
image collections
geospatial datasets
geographic information systems
None
raster digital data
Fuel Vegetation Type
FVT
U.S. Geological Survey (USGS)
U.S. Forest Service (USFS)
LANDFIRE 2022
EVT
Existing Vegetation Type
LF 2022
Common geographic areas
US
CONUS
United States
Continental U.S.
Conterminous United States
None
None
LANDFIRE, Earth Resources Observation and Science Center (EROS), U.S. Geological Survey
Customer Service Representative
physical
47914 252nd Street
Sioux Falls
SD
57198
U.S.
605-594-6151
helpdesk@landfire.gov
These products were created by the LF team at USGS EROS, Sioux Falls, SD. Refer to the contact information throughout this metadata to contact the LF team.
None in place
Unclassified
If there is ever doubt, contact the LF Help Desk at helpdesk@landfire.gov
Microsoft Windows 10; ESRI ArcCatalog 10.7.1
USGS Advanced Research Computing (ARC)
2021
USGS Denali Supercomputer: U.S. Geological Survey
publication
https://hpcportal.cr.usgs.gov/hpc-user-docs/Denali/Overview.html
https://www.usgs.gov/advanced-research-computing
For LF Remap EVT the Auto-Keys process was re-designed. Auto-Keys are used to determine existing vegetation type classification based on plot data in the LF Reference Database (LFRDB). A validation of the EVT product is conducted by comparing the EVT product for a pixel with the Auto-Key EVT assignment for a sample plot contained in that pixel. These agreement assessments have been developed for each LF CONUS GeoArea. To read more about EVT agreement assessments go to https://www.landfire.gov/evt.php
The products were pixel "truth" tested for consistency of land or water characteristics across all products.
Products were formally tested to ensure that valid data was produced for all pixels. Each product was then validated and tested for duplicates, omissions, and errors.
Beginning with the new base map of LF 2016 Remap (LF Remap), products were created using recent advances in image compositing, tiling algorithms, and faster computing hardware to ensure that LF products remained relevant. LF Remap leveraged the Landsat archive, lidar data, and user contributed field plot data compiled into the LF Reference Database (LFRDB), to create new vegetation products.
Reference resources included, but were not limited to, Forest Inventory and Analysis (FIA) program plot data (USFS https://fia.fs.fed.us/), Landsat Dynamic Surface Water Extent [(DSWE) USGS https://www.usgs.gov/landsat-missions], the National Land Cover Database [(NLCD) USGS https://www.mrlc.gov/data], and National Agricultural Statistics Service [(NASS) USDA - https://www.nass.usda.gov/].
For LF 2022 reference resources included, but were not limited to, Monitoring Trends in Burn Severity [(MTBS) USGS https://mtbs.gov/], Burned Area Reflectance Classification [(BARC) USFS and USGS] and Rapid Assessment of Vegetation Condition after Wildfire [(RAVG) https://burnseverity.cr.usgs.gov/ravg/], National Agricultural Statistics Service [(NASS) USDA - https://www.nass.usda.gov/] for 2022, PAD 3.0 for federal and protected lands identification [https://doi.org/10.5066/P9Q9LQ4B], and a rasterized version of the Microsoft building footprint for 2022 to update developed areas [https://github.com/Microsoft/USBuildingFootprints]. Disturbances in LF 2022 were also identified with LF's remote sensing of landscape change (RSLC), which identifies spectral change in vegetation using automated algorithms and image analyst review of the entire country with Landsat imagery. Burned Area (BA) data from Landsat was also used and national events (polygons) were used to identify areas and types of disturbance.
To read more about LF reference resources go to https://www.landfire.gov/reference.php. Information about LF 2022 product testing is available by request or via the website at https://www.landfire.gov.
20230501
Raster
Grid Cell
20729
24853
Albers Conical Equal Area
29.5
45.5
-96.0
23.0
0
0
row and column
30
30
meters
North American Datum of 1983 (NAD 83)
Geodetic Reference System 1980
6378137.000000
298.257222
FVT
LF 2022 FVT attributes spreadsheet.
LF 2022
VALUE
Numerical code for FVT.
LF 2022
11
9999
EVT_FUEL
The assigned code identifying fuel vegetation and land cover types.
LF 2022
11
9999
EVT_FUEL_N
FVT represents the name of the terrestrial Ecological Systems classification developed by NatureServe for the western Hemisphere and is an important input to LF fuel mapping.
LF 2022
See the ADD for additional information.
R
Red color value/255
LF 2022
0
255
G
Green color value/255
LF 2022
0
255
B
Blue color value/255
LF 2022
0
255
RED
Red color value.
LF 2022
0.0
1.0
GREEN
Green color value.
LF 2022
0.0
1.0
BLUE
Blue color value.
LF 2022
0.0
1.0
LANDFIRE (LF) 2022 Fuel Vegetation Type (FVT) CONUS. An Attribute Table is included with each product download as a .csv and embedded in the metadata. The Attribute Data Dictionary (ADD) can be found at https://www.landfire.gov/.
https://www.landfire.gov/fvt.php
U.S. Geological Survey
GS ScienceBase
mailing address
Denver Federal Center, Building 810, Mail Stop 302
Denver
CO
80225
United States
1-888-275-8747
sciencebase@usgs.gov
This product is reproduced from geospatial information prepared by the U.S. Department of the Interior (DOI) USGS EROS. By removing the contents of this package or taking receipt of these files via electronic file transfer methods, you understand that the data stored on this media can be updated at any time. Represented features may not be in an accurate geographic location. USGS EROS makes no expressed or implied warranty, including warranty of merchantability and fitness, with respect to the character, function, or capabilities of the data or their appropriateness for any user's purposes. USGS EROS reserves the right to correct, update, modify, or replace this geospatial information without notification.
Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty.
ARCG
20230501
LF 2022
https://doi.org/10.5066/P974JF8W
none
20230501
LANDFIRE, Earth Resources Observation and Science Center (EROS), U.S. Geological Survey
Customer Service Representative
physical
47914 252nd Street
Sioux Falls
SD
57198
U.S.
605-594-6151
helpdesk@landfire.gov
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
None
Unclassified
None