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Global Change Master Directory (GCMD)
Global 1Km Land Cover - UMD Legend (Europe)
Entry ID: geodata_1383


Summary
Abstract: AVHRR data were resampled to a spatial resolution of one by one degree and used to carry out a conventional, supervised classification of global land cover. Classifications have also proceeded at a finer spatial resolution of 8km at a continental scale. In addition to describing vegetative cover according to topological schemes, the project has explored methodologies to represent vegetative cover more realistically as gradients and mosaics of cover types.

To identify the pixels to be used for training of the 1 km AVHRR Pathfinder data, we collected a total of over 200 high resolution scenes of which we were confident of which cover type occurs. Most of the scenes used were acquired by the Landsat Multispectral Scanner System (MSS), and a few by Landsat Thematic Mapper and the LISS (Linear Imaging Self-Scanning Sensor), These training data provide the basis for carrying out a global land cover classification. They also provide data for validating other land cover classification products. The methodology and Landsat images used for deriving these training data for classification of AVHRR data at 8km resolution can also be applied to 1km AVHRR data and, in the future, MODIS data at 250m and 500m resolution. For a full description of the data set, please see: Hansen, M., DeFries, R., Townshend, J. R. G. and Sohlberg, R., 2000, Global land cover classification at 1km resolution using a decision tree classifier, International Journal of Remote Sensing. 21: 1331-1365.

Related URL
Link: View Related Information
Description: Search and access the data from the UNEP Environmental Data Explorer.

Geographic Coverage
 N: 85.21 S: 34.56  E: 68.1  W: -27.72

Data Set Citation
Dataset Title: Global 1Km Land Cover - UMD Legend
Dataset Release Date: 2000-01-01T00:00:00.000Z
Version: Not provided


Temporal Coverage
Start Date: 1981-01-01
Stop Date: 1994-12-31


Location Keywords
CONTINENT > EUROPE


Science Keywords
LAND SURFACE >LAND USE/LAND COVER >LAND USE/LAND COVER CLASSIFICATION    [Definition]


Project
UNEP/GRID >UNEP/Global Resources Information Database    [Information]


Use Constraints
Public


Keywords
Land Cover
Maryland University
1Km
UMD
satellite


Data Center
Global Land Cover Facility, University of Maryland    [Information]
Data Center URL: http://glcf.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

Global Resource Information Database - Geneva, Division of Early Warning and Assessment, United Nations Environment Programme    [Information]
Data Center URL: http://www.grid.unep.ch/

Data Center Personnel
Name: UNEP/GRID
Phone: +254-2-621234
Fax: +254-2-226890 or 215787
Email: gridinfo at unep.org
Contact Address:
United Nations Environment Programme
Global Resource Information Database UNEP/GRID
P.O.Box 30552
Province or State: Nairobi
Country: KENYA


Personnel
ANDREA DE BONO
Role: METADATA AUTHOR
Role: TECHNICAL CONTACT
Email: geo at unepgrid.ch


Extended Metadata Properties
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Creation and Review Dates
DIF Creation Date: 2013-02-21
Last DIF Revision Date: 2018-11-08



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