Identification of Terrestrial Vegetation by MSG-SEVIRI Radiometer and Follow-Up of Its Temporal Evolution

Part of the Studies in Computational Intelligence book series (SCI, volume 488)


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.


index of vegetation temporal synthesis NDVI SEVIRI satellite sensor 


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© Springer International Publishing Switzerland 2013

Authors and Affiliations

  1. 1.Laboratory of Analysis and Application of RadiationUniversity of USTOMBOranAlgeria
  2. 2.Institute of Maintenance and Industrial SecurityUniversity of Oran Es-SeniaOranAlgeria

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