Contribution of Meteosat Second Generation (MSG) to drought early warning

Bernard Lacaze (1, 2) , Jean Claude Bergès (1, 2)

1 PRODIG - Pôle de recherche pour l'organisation et la diffusion de l'information géographique
2 MSG-ATR - Utilisation scientifique des images du satellites MSG acquises en temps réel

Several low resolution satellite sensors are now available and can provide near real-time monitoring of vegetation cover seasonal changes on a large scale basis. This paper presents a comparison of NDVI derived from SPOT-VEGETATION and MSG-SEVIRI for the whole continent of Africa. Dekadal NDVI from VEGETATION data are available, obtained from maximum NDVI compositing technique. VEGETATION data from July 1-10,2004, have been re-sampled at 0.025° spatial resolution (= resolution of MSG-SEVIRI data) for whole Africa. In the case of SEVIRI data, a 2-steps procedure is used: first daily compositing is implemented through analysis of thermal data (maximum surface temperature compositing), followed by dekadal NDVI synthesis. Results include the observed correlations and discrepancies of NDVI products of the 2 sensors. Results suggest that, due to higher temporal frequency (1 image each 15 mn), MSG-SEVIRI data can be used to obtain improved NDVI products through better removal of cloud-contaminated pixels

Mots clés: remote sensing; drought; vegetation; NDVI; temporal compositing; Africa

Mots clés: télédétection; sécheresse; synthèse temporelle; Afrique

Domaines: Géographie

Bernard Lacaze, Jean Claude Bergès. Contribution of Meteosat Second Generation (MSG) to drought early warning. Remote Sensing and Geoinformation Processing in the Assessment and Monitoring of Land Degradation and Desertification : State of the Art and Operational Perspectives, Sep 2005, Trier, Germany. pp.406-412. ⟨halshs-00260474⟩