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African Land-Cover Classification Using Satellite Data

Tucker, Compton J., Townshend, John R.G., Goff, Thomas E.·1985·Science

Abstract

Data from the advanced very-high-resolution radiometer sensor on the National Oceanic and Atmospheric Administration's operational series of meteorological satellites were used to classify land cover and monitor vegetation dynamics for Africa over a 19-month period. There was a correspondence between seasonal variations in the density and extent of green-leaf vegetation and the patterns of rainfall associated with the movement of the Intertropical Convergence Zone. Regional variations, such as the 1983 drought in the Sahel of western Africa, were observed. Integration of the weekly satellite data with respect to time for a 12-month period produced a remotely sensed estimate of primary production based upon the density and duration of green-leaf biomass. Eight of the 21-day composited data sets covering an 11-month period were used to produce a general land-cover classification that corresponded well with those of existing maps.

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Metadata

Authors
Tucker, C. J., Townshend, J. R. G., & Goff, T. E.
Venue
Science
Published
1985-01-25
Volume
227
Issue
4685
Pages
369-375
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2136036783
Cited by
1,055
References
1
FWCI
58.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: African Land-Cover Classification Using Satellite Data. https://app.cochat.ai/papers/10.1126/science.227.4685.369
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Tucker, C. J., Townshend, J. R. G., & Goff, T. E. (1985). African Land-Cover Classification Using Satellite Data. Science. https://doi.org/10.1126/science.227.4685.369

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