An operational approach to monitor vegetation using remote sensing

Sonia Bouzidi 1 Jean-Paul Berroir 1 Isabelle Herlin 1
1 AIR - Image Processing and Dynamic and Satellite Data
Inria Paris-Rocquencourt
Abstract : This paper addresses vegetation monitoring in European agricultural areas using Earth Observation satellites. Due to the small size of typical European fields, two complementary sensors are used, SPOT and NOAA-AVHRR, bringing the spatial and the temporal information respectively. A sub-pixel analysis of NOAA data using one SPOT image is performed to characterize fields with high spatial and temporal resolutions. To be used in an operational context, the method must have realistic data requirements. We define an operational scenario making use of only one SPOT image per site and a one year NOAA sequence, covering a large part of Europe. We first proceed to an unsupervised segmentation of the SPOT image; the NOAA data analysis on test sites provides the temporal evolution of vegetation; then, identification of fields is performed by minimizing a cost function measuring the similarity between the global reflectance observed on NOAA pixels and the reflectance computed from corresponding regions at SPOT resolution
Type de document :
Communication dans un congrès
Proceedings of International Conference on Acoustics, Speech, and Signal Processing, May 1998, Seattle, United States. 5, pp.2697-2700, 1998, 〈10.1109/ICASSP.1998.678079〉
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https://hal.inria.fr/inria-00532715
Contributeur : Brigitte Briot <>
Soumis le : jeudi 4 novembre 2010 - 13:39:30
Dernière modification le : mardi 17 avril 2018 - 11:23:45

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Sonia Bouzidi, Jean-Paul Berroir, Isabelle Herlin. An operational approach to monitor vegetation using remote sensing. Proceedings of International Conference on Acoustics, Speech, and Signal Processing, May 1998, Seattle, United States. 5, pp.2697-2700, 1998, 〈10.1109/ICASSP.1998.678079〉. 〈inria-00532715〉

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