US Forest Service - FIA Forest Types of the Southeastern United States

Dec 13, 2013
Description:
Abstract:

This dataset portrays 141 forest types across the contiguous United States. These data were derived from MODIS composite images from the 2002 and 2003 growing seasons in combination with nearly 100 other geospatial data layers, including elevation, slope, aspect, ecoregions, and PRISM climate data. The dataset was developed as a collaborative effort between the USFS Forest Inventory and Analysis and Forest Health Monitoring programs and the USFS Remote Sensing Applications Center.

Purpose:

The purpose of this dataset is to portray broad distribution patterns of forest cover in the United States and provide input to national scale modeling projects. The data should not be displayed at scales smaller than 1:2,000,000. Independent accuracy assessments were conducted using a 10% holdout of the training data, and are available through the data source contact.

Complete metadata is available on the USFS website in HTML format.
Data Provided By:
USDA Forest Service - Forest Inventory and Analysis (FIA) Program & Remote Sensing Applications Center (RSAC), Conservation Biology Institute
Content date:
Publication_Date: 2008 Time_Period_of_Content: 2004
Citation:
http://svinetfc4.fs.fed.us/rastergateway/forest_type/index.php
Spatial Resolution:
250m
Contact Organization:
USDA Forest Service - Forest Inventory and Analysis (FIA) Program & Remote Sensing Applications Center (RSAC)
Contact Person(s):
Use Constraints:
None. It is the responsibility of the data user to use the data appropriately and consistent within the limitations of geospatial data in general and these data in particular. Using the data for other than their intended purpose may yield inaccurate or misleading results.
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FGDC Standard Metadata XML
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Original Metadata XML
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Dataset Type:
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About the Uploader

Conservation Biology Institute

The Conservation Biology Institute (CBI) provides scientific expertise to support the conservation and recovery of biological diversity in its natural state through applied research, education, planning, and community service.