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1 Kilometer Land Cover Product from the University of Maryland
Entry ID: GLCF_GLC_1km


Summary
Abstract: Over the past several years, researchers have increasingly turned to remotely sensed data to improve the accuracy of data sets that describe the geographic distribution of land cover at regional and global scales. To develop improved methodologies for global land cover classifications as well as to provide global land cover products for immediate use in global change research, we have employed the ... View entire text
Related URL
Description: Download the Land Cover Product.
Geographic Coverage
Spatial coordinates   
  N: 90.0   S: -90.0   E: 180.0   W: -180.0

Data Set Citation
Dataset Originator/Creator: Hansen, M.C., DeFries, R.F., Townshend, J.R.G., and Sohlberg, R
Dataset Title: Global land cover classification at 1km spatial resolution using a classification tree approach
Dataset Release Date: 1998
Dataset Release Place: Maryland
Dataset Publisher: University of Maryland
Version: 1.0
Online Resource: http://glcf.umd.edu/data/landcover/
Temporal Coverage
Start Date: 1981-01-01
Stop Date: 1994-01-01
Data Resolution
Latitude Resolution: 1 km
Longitude Resolution: 1 km
Horizontal Resolution Range: 1 km - < 10 km or approximately .01 degree - < .09 degree
Access Constraints None
Use Constraints Please use the following citation to cite the data: Hansen, M.C., DeFries,
R.S., Townshend, J.R.G., and Sohlberg, R., Global land cover classification at
1km spatial resolution using a classification tree approach, International
Journal of Remote Sensing (submitted).
Data Set Progress
COMPLETE
Originating Center
Data Center
Global Land Cover Facility, University of Maryland Supplemental Info
Data Center URL: http://glcf.umd.edu/
Dataset ID: 1 km Global Land Cover Data

Data Center Personnel
Name: GLOBAL LAND COVER FACILITY
Email: glcf at umd.edu
Contact Address:
Global Land Cover Facility
3166 A.V. Williams Bldg
University of Maryland
City: College Park
Province or State: MD
Postal Code: 20742
Country: USA
Distribution
Distribution Media: Online Internet (HTTP)
Distribution Format: gzipped
Fees: None
Personnel
Role: INVESTIGATOR
Phone: 301-405-4884
Fax: 301-314-9299
Email: rd63 at umail.umd.edu
Contact Address:
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
Country: USA
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Publications/References
Hansen, M.C., DeFries, R.S., Townshend, J.R.G., and Sohlberg, R.,
Global land cover classification at 1km spatial resolution using a
classification tree approach, International Journal of Remote Sensing
(submitted).
Extended Metadata Properties
(Click to view more)

Creation and Review Dates
DIF Creation Date: 2000-05-12
Last DIF Revision Date: 2016-04-29


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