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Missing data reconstruction and anomaly detection in crop development using agronomic indicators derived from multispectral satellite images

Albughdadi, Mohanad and Kouamé, Denis and Rieu, Guillaume and Tourneret, Jean-Yves Missing data reconstruction and anomaly detection in crop development using agronomic indicators derived from multispectral satellite images. (2017) In: 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 23 July 2017 - 28 July 2017 (Fort Worth, Texas, United States).

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Official URL: https://doi.org/10.1109/IGARSS.2017.8128145

Abstract

This paper studies a new three-step procedure for detecting anomalies in crop development using temporal indicators derived from multispectral satellite images. These anomalies may result from seeding problems, heterogeneity, deficiency and stress. The first step estimates different biophysical and statistical parameters associated with these parameters from the observed images. In a second step, missing data that arise from the existence of clouds or limited coverage in the satellite image are reconstructed. Finally, the mean shift algorithm is used as an unsupervised classifier to detect anomalies in these reconstructed data. The proposed procedure is evaluated using agronomic indicators estimated from SPOT 5 Take 5 satellite images from the Beauce area in France.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org. This papers appears in 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARS). Electronic ISBN: 978-1-5090-4951-6. The original PDF of the article can be found at: https://ieeexplore.ieee.org/document/8128145. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
HAL Id:hal-02617253
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > TerraNIS (FRANCE)
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Deposited On:25 May 2020 06:24

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