Band selection in sentinel-2 satellite for agriculture applications

Tianxiang Zhang; Jinya Su; Cunjia Liu; Wen Hua Chen; Hui Liu; Guohai Liu

doi:10.23919/IConAC.2017.8081990

Band selection in sentinel-2 satellite for agriculture applications

Tianxiang Zhang, Jinya Su, Cunjia Liu, Wen Hua Chen, Hui Liu, Guohai Liu

Computing Science

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

63 Citations (Scopus)

Abstract

Various indices are used for assessing vegetation and soil properties in satellite remote sensing applications. Some indices, such as NDVI and NDWI, are defined based on the sensitivity and significance of specific bands. Nowadays, remote sensing capability with a good number of bands and high spatial resolution is available. Instead of classification based on indices, this paper explores direct classification using selected bands. Recently launched Sentinel-2A is adopted as a case study. Three methods are compared, where the first approach utilizes traditional indices and the latter two approaches adopt specific bands (Red, NIR, and SWIR) and full bands of on-board sensors, respectively. It is shown that a better classification performance can be achieved by directly using the three selected bands compared with the one using indices, while the use of all 13 bands can further improve the performance. Therefore, it is recommended the new approach can be applied for Sentinel-2A image analysis and other wide applications.

Original language	English
Title of host publication	ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing
Subtitle of host publication	Addressing Global Challenges through Automation and Computing
Editors	Jie Zhang
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9780701702618
DOIs	https://doi.org/10.23919/IConAC.2017.8081990
Publication status	Published - 23 Oct 2017
Event	23rd IEEE International Conference on Automation and Computing, ICAC 2017 - Huddersfield, United Kingdom Duration: 7 Sept 2017 → 8 Sept 2017

Publication series

Name	ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing

Conference

Conference	23rd IEEE International Conference on Automation and Computing, ICAC 2017
Country/Territory	United Kingdom
City	Huddersfield
Period	7/09/17 → 8/09/17

Bibliographical note

ACKNOWLEDGMENT This work was supported by Newton Fund UK-China Agri-Tech Network Plus which is managed by Rothamsted Research on behalf of Science and Technology Facilities Council (STFC). Tianxiang Zhang would also like to thank Chinese Scholarship Council (CSC) for supporting his study in the U.K.

Publisher Copyright:
© 2017 Chinese Automation and Computing Society in the UK - CACSUK.

Keywords

Agriculture
Machine learning
Remote sensing
Sentinel-2A
Supervised classification

Access to Document

10.23919/IConAC.2017.8081990

Cite this

Zhang, T., Su, J., Liu, C., Chen, W. H., Liu, H., & Liu, G. (2017). Band selection in sentinel-2 satellite for agriculture applications. In J. Zhang (Ed.), ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing Article 8081990 (ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/IConAC.2017.8081990

Band selection in sentinel-2 satellite for agriculture applications. / Zhang, Tianxiang; Su, Jinya; Liu, Cunjia et al.
ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing. ed. / Jie Zhang. Institute of Electrical and Electronics Engineers Inc., 2017. 8081990 (ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing).

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Zhang, T, Su, J, Liu, C, Chen, WH, Liu, H & Liu, G 2017, Band selection in sentinel-2 satellite for agriculture applications. in J Zhang (ed.), ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing., 8081990, ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing, Institute of Electrical and Electronics Engineers Inc., 23rd IEEE International Conference on Automation and Computing, ICAC 2017, Huddersfield, United Kingdom, 7/09/17. https://doi.org/10.23919/IConAC.2017.8081990

Zhang T, Su J, Liu C, Chen WH, Liu H, Liu G. Band selection in sentinel-2 satellite for agriculture applications. In Zhang J, editor, ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing. Institute of Electrical and Electronics Engineers Inc. 2017. 8081990. (ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing). doi: 10.23919/IConAC.2017.8081990

Zhang, Tianxiang ; Su, Jinya ; Liu, Cunjia et al. / Band selection in sentinel-2 satellite for agriculture applications. ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing. editor / Jie Zhang. Institute of Electrical and Electronics Engineers Inc., 2017. (ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing).

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Band selection in sentinel-2 satellite for agriculture applications

Abstract

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Bibliographical note

Keywords

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