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Comparison between remote sensing and a dynamic vegetation model for estimating terrestrial primary production of Africa

Author:
  • Jonas Ardö
Publishing year: 2015
Language: English
Publication/Series: Carbon Balance and Management
Volume: 10
Document type: Journal article
Publisher: BioMed Central (BMC)
Additional info: Published online: 31 March 2015

Abstract english

Abstract in Undetermined

Africa is an important part of the global carbon cycle. It is also a continent facing potential problems due to increasing resource demand in combination with climate change-induced changes in resource supply. Quantifying the pools and fluxes constituting the terrestrial African carbon cycle is a challenge, because of uncertainties in meteorological driver data, lack of validation data, and potentially uncertain representation of important processes in major ecosystems. In this paper, terrestrial primary production estimates derived from remote sensing and a dynamic vegetation model are compared and quantified for major African land cover types.

Keywords

  • Climate Research
  • Africa
  • carbon cycle
  • GPP
  • LPJ-GUESS
  • MOD17
  • NPP
  • resource assessment

Other

Published
  • remote sensing-lup-obsolete
  • ISSN: 1750-0680
E-mail: jonas [dot] ardo [at] nateko [dot] lu [dot] se

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Dept of Physical Geography and Ecosystem Science

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Dept of Physical Geography and Ecosystem Science

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Department of Physical Geography and Ecosystem Science
Lund University
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Sweden

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