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Global Inventory Modeling and Mapping Studies (GIMMS)
Entry ID: GLCF_GIMMS

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Summary
Abstract: The Global Inventory Modeling and Mapping Studies (GIMMS) data set is a global
measure of normalized difference vegetation index (NDVI) covering a 22-year
period. The GIMMS data set was originally generated to characterize biophysical
change as defined in the International Satellite Land ... View entire text
Related URL
Description: Global Inventory Modeling and Mapping Studies (GIMMS) data available on FTP
server.
Geographic Coverage
Spatial coordinates   
  N: 90.0   S: -90.0   E: 180.0   W: -180.0

Data Set Citation
Dataset Originator/Creator: Tucker, Compton J., Pinzon, Jorge E., Brown, Molly E.
Dataset Title: Global Inventory Modeling and Mapping Studies (GIMMS)
Dataset Release Date: 2004
Dataset Release Place: University of Maryland, College Park, MD
Dataset Publisher: University of Maryland
Version: 1.0
Online Resource: http://glcf.umiacs.umd.edu/data/gimms/index.shtml
Data Resolution
Latitude Resolution: 1KM
Longitude Resolution: 1KM
Horizontal Resolution Range: 1 km - < 10 km or approximately .01 degree - < .09 degree
Use Constraints University of Maryland; Department of Geography; use is free to all if citation
is indicated as source. UMD holds ultimate copyright.
Data Set Progress
COMPLETE
Originating Center
Data Center
Global Land Cover Facility, University of Maryland Supplemental Info
Data Center URL: http://glcf.umd.edu/

Data Center Personnel
Name: GLCF USER SUPPORT
Email: glcf at gscf.umiacs.umd.edu
Contact Address:
Department of Geography
University of Maryland
City: College Park
Province or State: MD
Postal Code: 20742
Country: USA
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Distribution
Distribution Media: FTP
Distribution Format: binary, geoTIFF
Fees: No fees
Personnel
Role: INVESTIGATOR
Email: Compton.J.Tucker at nasa.gov
Contact Address:
Code 614.0
NASA Goddard Space Flight Center
City: Greenbelt
Province or State: MD
Postal Code: 20771
Country: USA
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Publications/References
Tucker, C. J., J. E. Pinzon, M. E. Brown, D. Slayback, E. W. Pak, R. Mahoney,
E. Vermote and N. El Saleous. 2005. An Extended AVHRR 8-km NDVI Data Set
Compatible with MODIS and SPOT Vegetation NDVI Data. International Journal of
Remote Sensing (in press).
Creation and Review Dates
DIF Creation Date: 2005-02-28
Last DIF Revision Date: 2009-08-17

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