Tree Cover Continuous Fields


Data Access
Earth Science Data Inferface
Overview
Representation of vegetation land cover into a limited number of classes (such as "grassland", "forest", "urban", etc.) does not account for internal variability, nor do distinct classes recognize transition zones between adjacent cover types. Because of this, an alternative paradigm to describing land cover as discrete classes is offered in this 1 Kilometer Tree Cover Continuous Fields product, where vegetation is represented as continuous fields of land cover, resulting in every pixel having a percentage value for tree cover.

Code Values
Value Label
10-80
254
255		 Percent tree cover, where 10% is low and 80% is high
Non-vegetated
Tree cover is less than 10%

How to Cite This Data Set
Citation Format: Author (Publication Date), Collection Name, Version, Publisher, Publisher Location, Product Coverage Date.

Citation Parameters Example:
  • Author: DeFries, R., M. Hansen, J.R.G. Townshend, A.C. Janetos, and T.R. Loveland
  • Publication Date: 2000
  • Collection Name: 1 Kilometer Tree Cover Continuous Fields
  • Version: 1.0
  • Publisher: Department of Geography, University of Maryland
  • Publisher Location: College Park, Maryland
  • Product Coverage Date: 1992-1993
Full Example Citation DeFries, R., M. Hansen, J.R.G. Townshend, A.C. Janetos, and T.R. Loveland (2000), 1 Kilometer Tree Cover Continuous Fields, 1.0, Department of Geography, University of Maryland, College Park, Maryland, 1992-1993.

Associated Peer-Reviewed Publication:DeFries, R., M. Hansen, J.R.G. Townshend, A.C. Janetos, and T.R. Loveland (2000) A new global 1km data set of percent tree cover derived from remote sensing. Global Change Biology. 6: 247-254.

Intellectual Property Rights
University of Maryland; Department of Geography; use is free to all if acknowledgement is made. UMD holds ultimate copyright.

Source
As a courtesy, please credit the Global Land Cover Facility (GLCF) as the source for this data set in some manner. Our suggestion: Source for this data set was the Global Land Cover Facility, www.landcover.org.