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One-Degree Land Cover Map derived from AVHRR Data from University of Maryland

Entry ID: AVHRR_1DEG_NDVI

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Summary

Abstract: The 1 degree global land cover data set describes the geographic distributions of eleven major cover types based on interannual variations in Normalized Difference Vegetation Index (NDVI) derived from the Advanced Very High Resolution Radiometer (AVHRR) onboard NOAA polar orbiting satellites.

The eleven cover types were selected to conform with cover types required as ...

Related URL

Link: VIEW PROJECT HOME PAGE

Description: University of Maryland Global Land Cover Facility (GLCF)

Link: VIEW PROJECT HOME PAGE

Description: NASA Earth Science Information Partnership (ESIP) Federation Homepage

Geographic Coverage

(Click for Interactive Map)

Spatial coordinates

N: 90.0

S: -90.0

E: 180.0

W: -180.0

Data Set Citation

Dataset Originator/Creator: DeFries, R. and J.R.G. Townshend

Dataset Title: NDVI-derived land cover class. at a global scale

Dataset Series Name: International J. Remote Sensing

Dataset Release Date: 1994

Issue Identification: 15

Online Resource: http://www.geog.umd.edu/landcover/1d-map/1d-doc.html

Temporal Coverage

Start Date: 1987-01-01

Stop Date: 1987-12-31

Location Keywords

GEOGRAPHIC REGION > GLOBAL

GEOGRAPHIC REGION > GLOBAL LAND

Data Resolution

Latitude Resolution: 1 degree
Longitude Resolution: 1 degree
Horizontal Resolution Range: 100 km - < 250 km or approximately 1 degree - < 2.5 degrees
Temporal Resolution: annual
Temporal Resolution Range: Annual

Science Keywords

BIOSPHERE > VEGETATION > BIOMASS

BIOSPHERE > VEGETATION > VEGETATION COVER

ISO Topic Category

BIOTA

ENVIRONMENT

Platform

NOAA POES > NOAA Polar Orbiting Environmental Satellites

Instrument

AVHRR > Advanced Very High Resolution Radiometer

Project

ARW/SJC > Aerosols and Rain Water at Sao Jose dos Campos,SP, Brazil

GOFC > Global Observation of Forest Cover

Quality The global land cover data set was modified from the original maximum
likelihood classification result as follows to eliminate stray pixels
that were obviously incorrectly classified: pixels falling within
training areas that were not correctly classified were changed to the
cover type indicated by the ...

Access Constraints None

Use Constraints Use the following reference in citing use of this data:
DeFries, R. S. and J. R. G. Townshend, 1994a, NDVI-derived land cover
classification at global scales. International Journal of Remote
Sensing, 15:3567-3586. Special Issue on Global Data Sets.

Ancillary Keywords

IDN=G3OS/GTOS

INTERANNUAL VARIATIONS

Data Set Progress

COMPLETE

Originating Center

UMD/LGRSS

Data Center

Global Land Cover Facility, University of Maryland

Data Center URL: http://glcf.umiacs.umd.edu/

Data Center Personnel
Name: TASNIMA APOL Phone: 301-405-7093 Email: esip-order at umiacs.umd.edu Contact Address: Global Land Cover Facility Science Applications Office University of Maryland Institute for Advanced Computer Studies 3332 AV Williams Building City: College Park Province or State: MD Postal Code: 20742