[Parameters: Topic='BIOSPHERE', Term='VEGETATION', Variable_Level_1='EVERGREEN VEGETATION']
LBA REGIONAL TREE COVER FROM AVHRR, 1-KM, 1992-1993 (DEFRIES ET AL.)Entry ID: lba_tree_cover
Abstract: The data set consists of a subset for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., longitude 85 deg to 30 deg W, latitude 25 deg S to 10 deg N) 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.
Data Set Citation
Dataset Originator/Creator: DEFRIES, R.S.HANSEN, M.JANETOS, A.C.LOVELAND, T.R.TOWNSHEND, J.R.G.
Dataset Title: LBA REGIONAL TREE COVER FROM AVHRR, 1-KM, 1992-1993 (DEFRIES ET AL.)
Dataset Release Date: 2003
Dataset Release Place: Oak Ridge, Tennessee, U.S.A.
Dataset Publisher: Oak Ridge National Laboratory Distributed Active Archive Center
Data Presentation Form: Online Files
Dataset DOI: doi:10.3334/ORNLDAAC/686Online Resource: http://mercury.ornl.gov/ornldaac/send/query?term2=686&term2attribut...
Start Date: 1992-01-01Stop Date: 1993-12-31
Data Set Progress
Role: TECHNICAL CONTACT
Email: rd63 at umail.umd.edu
Laboratory for Global Remote Sensing Studies Department of Geography 2181 LeFrak Hall University of Maryland at College Park
City: College Park
Province or State: MD
Postal Code: 20742-8225
Role: DIF AUTHOR
Phone: (865) 574-7447
Email: uso at daac.ornl.gov
ORNL DAAC User Services Office Oak Ridge National Laboratory
City: Oak Ridge
Province or State: TN
Postal Code: 37831-6407
Extended Metadata Properties
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Creation and Review Dates
DIF Creation Date: 2003-09-15
Last DIF Revision Date: 2012-03-13