Anzeige
Erschienen in:
2013 | OriginalPaper | Buchkapitel
Identification of Terrestrial Vegetation by MSG-SEVIRI Radiometer and Follow-Up of Its Temporal Evolution
verfasst von : Naima Benkahla, Abdelatif Hassini
Erschienen in: Modeling Approaches and Algorithms for Advanced Computer Applications
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by (Link öffnet in neuem Fenster)
The main focus of this work is to propose a method to depict one vegetation index from free clouds MSG2-SEVIRI (METEOSAT Second Generation 2 - Spining Enhanced in Visible and Infrared Imager) data. The proposed method uses the multi spectral high satellite data frequency (MSG2- SEVIRI image acquisition every 15 minutes), for rapid identification of Normalized Difference Vegetation Index (NDVI), and follow-up of its temporal evolution, to produce an approved monthly scale vegetation chart for a half terrestrial disk scanned by SEVIRI radiometer. To validate our method, we have compared each obtained result with other performed sensor embided on polar SPOT satellite called SPOT Vegetation.
