EOS Land Validation Core Siter Characterizations Data Set; UMD Land Cover Data Set for Site #4, BOREAS_NSA
Entry ID: GLCF_CRESS_66

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Summary
Abstract: This data set shows the UMD land cover classifications within the BOREAS_NSA
site. The University of Maryland (UMD), uses land cover data which are derived
from the 1km AVHRR (Advanced Very High Resolution Radiometer) composites.
Imagine and Arc/INFO were both used in the analysis and organization of this
data.
Related URL
Description: EOS Land Validation Core Site #4: BOREAS_NSA.
Geographic Coverage
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Spatial coordinates   
  N: 39.95   S: 37.69   E: -74.82   W: -79.71

Data Resolution
Latitude Resolution: 1 km
Longitude Resolution: 1 km
Horizontal Resolution Range: 1 km - < 10 km or approximately .01 degree - < .09 degree
Originating Center
Data Center
Global Land Cover Facility, University of Maryland Supplemental Info
Data Center URL: http://glcf.umiacs.umd.edu/

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 FTP
Distribution Format: WK1
Fees: 0
Personnel
Role: TECHNICAL CONTACT
Phone: +1 845-365-8920
Fax: +1 845-365-8922
Email: ciesin.info at ciesin.columbia.edu
Contact Address:
61 Route 9W, P.O. Box 1000
City: Palisades
Province or State: NY
Postal Code: 10964
Country: USA
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Publications/References
China in Time and Space (CITAS),/University of Washington, and Center for International Earth Science Information Network (CIESIN) (199702), China Dimensions Data Collection: Bibliography of Chinese Administrative Geography, NASA Socioeconomic Data and Applications Center (SEDAC), Saginaw, MI, http://sedac.ciesin.columbia.edu/data/set/cddc-china-bibliography-a...
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Extended Metadata Properties
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Creation and Review Dates
DIF Creation Date: 1994-12-15
Last DIF Revision Date: 2012-10-15

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