Landfire Existing Vegetation Type (Hawaii) (Image Service)

Metadata Updated: December 3, 2020

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.DATA SUMMARY: The existing vegetation type (EVT) data layer represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western Hemisphere (http://www.natureserve.org/biodiversity-science/publications/ecological-systems-united-states). A terrestrial ecological system is defined as a group of plant community types (associations) that tend to co-occur within landscapes with similar ecological processes, substrates, and/or environmental gradients. EVTs are mapped in LANDFIRE using decision tree models, field reference data, Landsat imagery, digital elevation model data, and biophysical gradient data. Go to https://www.landfire.gov/participate_refdata_sub.php for more information regarding contributors of field plot data. Decision tree models are developed separately for each of the three life-forms -tree, shrub, and herbaceous - 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 EVT spatial data layers. The final EVT and Environmental Site Potential (ESP) layers are compared and rectified through a series of QA/QC measures. Values of one or more of these data layers are adjusted based on a hierarchical decision tree ruleset in order to align the respective life-forms and life-zone of each ESP and EVT category. The EVT layer is used in many subsequent LANDFIRE data layers. LF 2014 (lf_1.4.0) 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 2013 and 2014. 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. Metadata and Downloads

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

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Dates

Metadata Created Date December 3, 2020
Metadata Updated Date December 3, 2020

Metadata Source

Harvested from USDA JSON

Additional Metadata

Resource Type Dataset
Metadata Created Date December 3, 2020
Metadata Updated Date December 3, 2020
Publisher U.S. Forest Service
Unique Identifier Unknown
Maintainer
Identifier https://data-usfs.hub.arcgis.com/datasets/5d3d9565ac7349afa1e86b14280470a5
Data First Published 2019-08-09
Data Last Modified 2020-06-10
Category geospatial
Public Access Level public
Bureau Code 005:96
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Homepage URL https://data-usfs.hub.arcgis.com/datasets/5d3d9565ac7349afa1e86b14280470a5
License https://data-usfs.hub.arcgis.com/datasets/5d3d9565ac7349afa1e86b14280470a5/license.json
Metadata Type geospatial
Program Code 005:059
Source Datajson Identifier True
Source Hash fec0cd32812729e653428eadae7b586a0e4f2082
Source Schema Version 1.1
Spatial -160.5545,18.8399,-154.728,22.2867

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