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- W1031680364 abstract "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." @default.
- W1031680364 created "2016-06-24" @default.
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- W1031680364 date "2013-01-01" @default.
- W1031680364 modified "2023-10-03" @default.
- W1031680364 title "Identification of Terrestrial Vegetation by MSG-SEVIRI Radiometer and Follow-Up of Its Temporal Evolution" @default.
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- W1031680364 doi "https://doi.org/10.1007/978-3-319-00560-7_34" @default.
- W1031680364 hasPublicationYear "2013" @default.
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