100-Meter Resolution Tree Canopy of the Conterminous United States, 2001

Description:

This raster layer is a georeferenced image containing tree canopy data for the conterminous United States, in an Albers Equal-Area Conic projection and at a resolution of 100 meters. The tree canopy data were derived from the 2001 National Land Cover Database (NLCD) Percent Tree Canopy data set, a product of the Multi-Resolution Land Characteristics Consortium (MRLC). The MRLC is a multi-agency cooperative effort to study land cover change. This layer is part of the 1997-2014 edition of the National Atlas of the United States. The 100-meter resolution tree canopy data were developed to portray the tree canopy of the United States at 1:1,000,000 scale. They are intended primarily for visual purposes. The original NLCD data should be used for conducting scientific analysis. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

Creator:

Geological Survey (U.S.)

Publisher:

Geological Survey (U.S.)

Provider:

Stanford

Resource Class:

Datasets

Resource Type:

Raster data

Subject:

Forest canopies, Forests and forestry, Imagery and Base Maps, and Biology and Ecology

Theme:

Land cover, Imagery, and Land Cover

Temporal Coverage:

2007

Date Issued:

2013

Spatial Coverage:

Alabama, Arizona, Arkansas, Colorado, Connecticut, Delaware, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York (State), North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, Rocky Mountains, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington (D.C.), Washington (State), West Virginia, Wisconsin, Wyoming, and United States

Rights:

This item is in the public domain. There are no restrictions on use.

Rights Holder:

This work is in the Public Domain, meaning that it is not subject to copyright.

Access Rights:

Public

Format:

GeoTIFF

Georeferenced:

More details at:

https://purl.stanford.edu/nh022gd9639