• LANDFIRE.HI_vdist2012

    Metadata Updated: March 22, 2021

    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 buffered Smartfire ignition points. 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 Smartifre ignition points 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 and provided an estimate of severity for all changed pixels including LANDFIRE Events. Landsat-derived datasets (e.g. dNBR) were 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.To map disturbance in Alaska, fire data from MTBS, BARC, RAVG, and Events were used exclusively. Because suitable cloud free Landsat imagery was not readily available and the largest cause of disturbance is fire, the MIICA process was excluded. Where necessary, MTBS data gaps were filled using the techniques described above. Events were processed similar to CONUS except severity was determined by information in the Event attributes. The final disturbance products are grid files, defined by year (i.e., 2011, 2012). 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 the 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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    Metadata Date February 1, 2007
    Metadata Created Date March 22, 2021
    Metadata Updated Date March 22, 2021
    Reference Date(s) March 31, 2013 (publication)
    Frequency Of Update notPlanned

    Metadata Source

    Harvested from USGS-Harvest

    Additional Metadata

    Resource Type Dataset
    Metadata Date February 1, 2007
    Metadata Created Date March 22, 2021
    Metadata Updated Date March 22, 2021
    Reference Date(s) March 31, 2013 (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 -153.3681839910366
    Bbox North Lat 25.17246703156623
    Bbox South Lat 18.112857617393107
    Bbox West Long -160.47454578543605
    Coupled Resource
    Frequency Of Update notPlanned
    Harvest Object Id 5b2fa86b-f231-4255-b314-1388a06568b3
    Harvest Source Id 5f135382-acf8-4ee0-8a68-2db6433e8a82
    Harvest Source Title USGS-Harvest
    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 eng; USA
    Metadata Type geospatial
    Spatial Data Service Type
    Spatial Reference System
    Spatial Harvester True

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