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SAFARI 2000 TREE COVER FROM AVHRR, 1-KM, 1992-1993 (DEFRIES ET AL.)
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SAFARI 2000 Tree Cover from AVHRR, 1-km, 1992-1993 (DeFries et al.)


Summary:

The data set consists of a southern African subset of the 1km Global Tree Cover Data Set developed at the Laboratory for Global Remote Sensing Studies (LGRSS) at the University of Maryland. Data are available in both ASCII GRID and binary image files formats.

Characterization of terrestrial vegetation from the Advanced Very High Resolution Radiometer (AVHRR) on the global to regional scale has traditionally been accomplished using classification schemes with discrete numbers of vegetation classes. Representation of vegetation into a limited number of homogeneous classes does not account for the variability within land cover, nor does the portrayal recognize transition zones between adjacent cover types. An alternative paradigm to describing land cover as discrete classes is to represent land cover as continuous fields of vegetation characteristics using a linear mixture model approach. This prototype data set, created by researchers at the Laboratory for Global Remote Sensing Studies (LGRSS) at the University of Maryland, contains 1-km cells estimating: 1) Percent tree cover; 2) Percentage cover for two layers representing leaf longevity (evergreen and deciduous); and 3) Percentage cover for two layers estimating leaf type (broadleaf and needleleaf).

Data acquired in 1992-93 from NOAA's AVHRR at a 1-km spatial resolution and processed under the guidance of the International Geosphere Biosphere Programme (IGBP) were used to derive the tree cover, leaf type and leaf longevity maps. Each pixel in the layers has a value between 10 and 80 percent. These layers can be directly used as parameters in models or aggregated into more conventional land cover maps. For the latter, the product offers the flexibility to derive land cover maps based on user's requirements for a particular application. The product is intended for use in terrestrial carbon cycle models, in conjunction with other spatial data sets such as climate and soil type, to obtain more consistent and reliable estimates of carbon stocks.

More information can be found at: http://daac.ornl.gov/daacdata/safari2k/vegetation_wetlands/tree_cover-1km/comp/glcftree_readme.pdf.

Data Citation:

Cite this data set as follows:

DeFries, R. S., M. Hansen, J. R. G. Townshend, A. C. Janetos, and T. R. Loveland. 2002. SAFARI 2000 Tree Cover from AVHRR, 1-km, 1992-1993 (DeFries et al.). Data set. Available on-line [http://www.daac.ornl.gov] from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. doi:10.3334/ORNLDAAC/641.

References:

DeFries, R. S., M. Hansen, J. R. G. Townshend, A. C. Janetos, and T. R. Loveland. 1999. Global 1km Data Set of Percent Tree Cover Derived from Remote Sensing. Global Land Cover Facility, University of Maryland Institute for Advanced Computer Studies, College Park, Maryland, U.S.A. Available on-line at http://glcf.umiacs.umd.edu.

Data Format:

Information about the data file formats, tree cover classes, and the procedure used to create the southern African subset are in the following file:
http://daac.ornl.gov/daacdata/safari2k/vegetation_wetlands/tree_cover-1km/comp/glcftree_readme.pdf.

Document Information:

2002/2/22

Document Review Date:

2002/2/22

Document Curator:

webmaster@www.daac.ornl.gov

Document URL:

http://daac.ornl.gov