Wildland Fire Science, Earth Resources Observation and Science Center, U.S. Geological Survey, 20130331, LANDFIRE.US_130EVH: Wildland Fire Science, Earth Resources Observation and Science Center, U.S. Geological Survey: Sioux Falls, SD, http://landfire.cr.usgs.gov/viewer/, http://www.landfire.gov.
Summary
Introduction: The LANDFIRE existing vegetation layers describe the following elements of existing vegetation for each LANDFIRE mapping zone: existing vegetation type, existing vegetation canopy cover, and existing vegetation height. Vegetation is mapped using predictive landscape models based on extensive field reference data, satellite imagery, biophysical gradient layers, and classification and regression trees. Abstract: The existing vegetation height (EVH) data layer is an important input to LANDFIRE modeling efforts. Canopy height is generated separately for tree, shrub and herbaceous cover life forms using training data and a series of geospatial data layers. Plots from the Forest Inventory and Analysis (FIA) program of USDA [...]
Summary
Introduction: The LANDFIRE existing vegetation layers describe the following elements of existing vegetation for each LANDFIRE mapping zone: existing vegetation type, existing vegetation canopy cover, and existing vegetation height. Vegetation is mapped using predictive landscape models based on extensive field reference data, satellite imagery, biophysical gradient layers, and classification and regression trees. Abstract: The existing vegetation height (EVH) data layer is an important input to LANDFIRE modeling efforts. Canopy height is generated separately for tree, shrub and herbaceous cover life forms using training data and a series of geospatial data layers. Plots from the Forest Inventory and Analysis (FIA) program of USDA Forest Service (http://fia.fs.fed.us/) were used as the training data for tree canopy height mapping. EVH is determined by the average height weighted by species cover and based on existing vegetation type (EVT) life-form assignments. Dominant life-form height of each plot is then binned as follows: (A) Tree classes; 0-5 m, 5-10 m, 10-25 m, 25-50 m, and greater than 50 m, (B) Shrub classes; 0-0.5 m, 0.5-1.0 m, 1.0-3.0 m, greater than 3.0 m, (C) Herbaceous vegetation classes; 0-0.5 m; 0.5-1.0 m, greater than 1 m. Go to http://www.landfire.gov/participate_acknowledgements.php for more information regarding contributors of field plot data. Decision tree models using field reference data and Landsat imagery, digital elevation model data, and biophysical gradient data, are then developed separately for each of the three life forms using C5 software. Life-form specific cross-validation error matrices are generated during this process to assess levels of accuracy of the models. Decision tree relationships are then used to generate life-form specific height class spatial data layers, which are later merged into a single composite height data layer. The final EVH layer is evaluated and rectified through a series of QA/QC measures to ensure that the life-form of the cover code matched the life-form of the existing vegetation type. EVH is used in many subsequent LANDFIRE data layers.LF 2012 (lf_1.3.0) used modified LF 2010 (lf_1.2.0) data as a launching point to incorporate disturbance and its severity, both managed and natural, which occurred on the landscape 2011 and 2012. Specific examples of disturbance are: fire, vegetation management, weather, and insect and disease. The final disturbance data used in LANDFIRE is the result of several efforts that include data derived in part from remotely sensed land change methods, Monitoring Trends in Burn Severity (MTBS), and the LANDFIRE Events data call. Vegetation growth was modeled where both disturbance and non-disturbance occurs.Urban, agriculture, and wetlands were refined to reflect a 2012 landscape using the National Conservation Easement Database, National Wetlands Inventory (NWI), and Common Land Unit database (CLU) data.
LANDFIRE data products are designed to facilitate national- and regional-level strategic planning and reporting of management activities. Data products are created at a 30-meter grid spatial resolution raster data set; however, the applicability of data products varies by location and specific use. Principal purposes of the data products include providing, 1) national-level, landscape-scale geospatial products to support fire and fuels management planning, and, 2) consistent fuels data to support fire planning, analysis, and budgeting to evaluate fire management alternatives. Users are advised to evaluate the data carefully for their applications.
