Towards the Use of Sequential Patterns for Detection and Characterization of Natural and Agricultural Areas

Fabio Guttler; Dino Ienco; Maguelonne Teisseire; J. Nin; Pascal Poncelet

doi:10.1007/978-3-319-08795-5_11

Towards the Use of Sequential Patterns for Detection and Characterization of Natural and Agricultural Areas

Fabio Guttler, Dino Ienco, Maguelonne Teisseire, J. Nin, Pascal Poncelet

Research output: Book chapter › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Nowadays, a huge amount of high resolution satellite images are freely available. Such images allow researchers in environmental sciences to study the different natural habitats and farming practices in a remote way. However, satellite images content strongly depends on the season of the acquisition. Due to the periodicity of natural and agricultural dynamics throughout seasons, sequential patterns arise as a new opportunity to model the behaviour of these environments. In this paper, we describe some preliminary results obtained with a new framework for studying spatiotemporal evolutions over natural and agricultural areas using k-partite graphs and sequential patterns extracted from segmented Landsat images.

Original language	English
Title of host publication	Information Processing and Management of Uncertainty in Knowledge-Based Systems - 15th International Conference, IPMU 2014, Proceedings
Publisher	Springer Verlag
Pages	97-106
Number of pages	10
Edition	PART 1
ISBN (Print)	9783319087948
DOIs	https://doi.org/10.1007/978-3-319-08795-5_11
Publication status	Published - 2014
Externally published	Yes
Event	15th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems, IPMU 2014 - Montpellier, France Duration: 15 Jul 2014 → 19 Jul 2014

Publication series

Name	Communications in Computer and Information Science
Number	PART 1
Volume	442 CCIS
ISSN (Print)	1865-0929

Conference

Conference	15th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems, IPMU 2014
Country/Territory	France
City	Montpellier
Period	15/07/14 → 19/07/14

Keywords

Data Mining and Remote Sensing
Temporal Patterns

Access to Document

10.1007/978-3-319-08795-5_11

Cite this

Guttler, F., Ienco, D., Teisseire, M., Nin, J., & Poncelet, P. (2014). Towards the Use of Sequential Patterns for Detection and Characterization of Natural and Agricultural Areas. In Information Processing and Management of Uncertainty in Knowledge-Based Systems - 15th International Conference, IPMU 2014, Proceedings (PART 1 ed., pp. 97-106). (Communications in Computer and Information Science; Vol. 442 CCIS, No. PART 1). Springer Verlag. https://doi.org/10.1007/978-3-319-08795-5_11

Guttler, Fabio ; Ienco, Dino ; Teisseire, Maguelonne et al. / Towards the Use of Sequential Patterns for Detection and Characterization of Natural and Agricultural Areas. Information Processing and Management of Uncertainty in Knowledge-Based Systems - 15th International Conference, IPMU 2014, Proceedings. PART 1. ed. Springer Verlag, 2014. pp. 97-106 (Communications in Computer and Information Science; PART 1).

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author = "Fabio Guttler and Dino Ienco and Maguelonne Teisseire and J. Nin and Pascal Poncelet",

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Guttler, F, Ienco, D, Teisseire, M, Nin, J & Poncelet, P 2014, Towards the Use of Sequential Patterns for Detection and Characterization of Natural and Agricultural Areas. in Information Processing and Management of Uncertainty in Knowledge-Based Systems - 15th International Conference, IPMU 2014, Proceedings. PART 1 edn, Communications in Computer and Information Science, no. PART 1, vol. 442 CCIS, Springer Verlag, pp. 97-106, 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems, IPMU 2014, Montpellier, France, 15/07/14. https://doi.org/10.1007/978-3-319-08795-5_11

Towards the Use of Sequential Patterns for Detection and Characterization of Natural and Agricultural Areas. / Guttler, Fabio; Ienco, Dino; Teisseire, Maguelonne et al.
Information Processing and Management of Uncertainty in Knowledge-Based Systems - 15th International Conference, IPMU 2014, Proceedings. PART 1. ed. Springer Verlag, 2014. p. 97-106 (Communications in Computer and Information Science; Vol. 442 CCIS, No. PART 1).

Research output: Book chapter › Conference contribution › peer-review

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T1 - Towards the Use of Sequential Patterns for Detection and Characterization of Natural and Agricultural Areas

AU - Guttler, Fabio

AU - Ienco, Dino

AU - Teisseire, Maguelonne

AU - Nin, J.

AU - Poncelet, Pascal

PY - 2014

Y1 - 2014

N2 - Nowadays, a huge amount of high resolution satellite images are freely available. Such images allow researchers in environmental sciences to study the different natural habitats and farming practices in a remote way. However, satellite images content strongly depends on the season of the acquisition. Due to the periodicity of natural and agricultural dynamics throughout seasons, sequential patterns arise as a new opportunity to model the behaviour of these environments. In this paper, we describe some preliminary results obtained with a new framework for studying spatiotemporal evolutions over natural and agricultural areas using k-partite graphs and sequential patterns extracted from segmented Landsat images.

AB - Nowadays, a huge amount of high resolution satellite images are freely available. Such images allow researchers in environmental sciences to study the different natural habitats and farming practices in a remote way. However, satellite images content strongly depends on the season of the acquisition. Due to the periodicity of natural and agricultural dynamics throughout seasons, sequential patterns arise as a new opportunity to model the behaviour of these environments. In this paper, we describe some preliminary results obtained with a new framework for studying spatiotemporal evolutions over natural and agricultural areas using k-partite graphs and sequential patterns extracted from segmented Landsat images.

KW - Data Mining and Remote Sensing

KW - Temporal Patterns

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BT - Information Processing and Management of Uncertainty in Knowledge-Based Systems - 15th International Conference, IPMU 2014, Proceedings

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Guttler F, Ienco D, Teisseire M, Nin J, Poncelet P. Towards the Use of Sequential Patterns for Detection and Characterization of Natural and Agricultural Areas. In Information Processing and Management of Uncertainty in Knowledge-Based Systems - 15th International Conference, IPMU 2014, Proceedings. PART 1 ed. Springer Verlag. 2014. p. 97-106. (Communications in Computer and Information Science; PART 1). doi: 10.1007/978-3-319-08795-5_11

Towards the Use of Sequential Patterns for Detection and Characterization of Natural and Agricultural Areas

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