Metadata Updated: November 12, 2020

Introduction: LANDFIRE disturbance data are developed to provide temporal and spatial information related to landscape change for determining vegetation transitions over time and for making subsequent updates to LANDFIRE vegetation, fuel and other data. Disturbance data include attributes associated with disturbance year, type, and severity. These data are developed through use of Landsat satellite imagery, local agency derived disturbance polygons, and other ancillary data.Abstract: LANDFIRE disturbance data were developed through a multistep process employing a number of varied geospatial datasets to identify and label changes in vegetation cover. This process utilized: Landsat change detection methods; Landsat-derived indices (e.g., NDVI, dNBR); disturbance Event perimeters; fire severity and extent mapping from MTBS (Monitoring Trends in Burn Severity), BARC (Burned Area Reflectance Classification), and RAVG (Rapid Assessment of Vegetation Condition after Wildfire) fire mapping; PAD (Protected Area Database) ownership data; and burned area essential climate variable (BAECV) data.MTBS, BARC and RAVG data provide extent, cause, and severity of fire-related disturbance. Event perimeters collected from local, state, and federal agencies and other cooperators were integrated into the LANDFIRE Events Geodatabase. They were processed by disturbance type priority and rasterized to provide disturbance-specific causality. PAD data provided management-level information and BAECV offered a possible causality to disturbances detected using processed Landsat imagery. Disturbances not identified by Events or fire mapping efforts were mapped by processing Landsat best- pixel image composite tiles (98 tiles covering the contiguous United States, and 4 tiles covering Hawaii. Image tiles were also created for selected areas to address MTBS gap filling in Alaska). Change was primarily identified using the Multi-Index Integrated Change Algorithm (MIICA) methods (Jin, et. al. 2013). This process identified changed pixels. Landsat-derived dNBR provided an estimate of severity for all changed pixels including LANDFIRE Events. dNBR datawere also used to mitigate the SLC-off and cloud gap issues within the MTBS datasets. These data and additional Landsat scenes were used in combination to create regression-based models. In areas where modeling could not be used a 12x12 focal majority process was used to fill MTBS data gaps. The final disturbance products are grid files, defined by year (i.e., 2013, 2014). Disturbance raster attributes include; year, type (causality, if known), severity (low, medium, and high), data source(s), and additional attributes associated with causality and severity confidence.VdistYEAR grids are a composite of disturbance grids 2005-2014 (last ten years of disturbance grids) recoded by disturbance type, disturbance severity, and time since disturbance YEAR to meet LANDFIRE vegetation transition modeling needs. Fire occurrences take precedence, followed by the most recent disturbance taking precedence.

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License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Metadata Date February 1, 2007
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Reference Date(s) October 31, 2016 (publication)
Frequency Of Update continual

Metadata Source

Harvested from DOI Open Data

Additional Metadata

Resource Type Dataset
Metadata Date February 1, 2007
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Reference Date(s) October 31, 2016 (publication)
Responsible Party Wildland Fire Science, Earth Resources Observation and Science Center, U.S. Geological Survey (Point of Contact)
Contact Email
Access Constraints Use Constraints: Although LANDFIRE products are delivered as 30-meter pixels, they should not be used at the individual pixel level or on small groups of pixels. LANDFIRE 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 LANDFIRE products to support fire and land management planning on smaller areas will vary by product, location, and specific use. Further investigation by local and regional experts should be conducted to inform decisions regarding local applicability. However, it is the responsibility of the local user, using LANDFIRE metadata and local knowledge, to determine if and/or how LANDFIRE can be used for particular areas of interest. LANDFIRE products are not intended to replace local products, but rather serve as a back-up by providing wall-to-wall cross-boundary products. It is the responsibility of the user to be familiar with the value, assumptions, and limitations of LANDFIRE products. Managers and planners must evaluate LANDFIRE data according to the scale and requirements specific to their needs., Access Constraints: None
Bbox East Long -138.75803269007818
Bbox North Lat 71.14926911648406
Bbox South Lat 50.824773478534226
Bbox West Long -179.8299135763675
Coupled Resource
Frequency Of Update continual
Licence This product is reproduced from geospatial information prepared by the U.S. Department of Agriculture, Forest Service and 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 is in draft condition. Represented features may not be in an accurate geographic location. The Forest Service and USGS EROS make 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. The Forest Service and USGS EROS reserve the right to correct, update, modify, or replace this geospatial information without notification.
Metadata Language
Metadata Type geospatial
Spatial Data Service Type
Spatial Reference System
Spatial Harvester True

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