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

Research output: Contribution to journalArticle


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.


Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Climate Research


  • Africa, carbon cycle, GPP, LPJ-GUESS, MOD17, NPP, resource assessment
Original languageEnglish
Article number8
JournalCarbon Balance and Management
Publication statusPublished - 2015
Publication categoryResearch

Bibliographic note

Published online: 31 March 2015