Detection of Opencast Mining Sites from Multispectral Satellite Images

Jorge Mario Londoño-Peláez

doi:10.1007/978-981-16-4884-7_13

Detection of Opencast Mining Sites from Multispectral Satellite Images

Research output: Chapter in Book/Report/Conference proceeding › Conference and proceedings › peer-review

Abstract

In this work, we consider the problem of detecting unauthorized opencast mining activities from satellite imagery, which is important for the adverse effect they cause in the environment and the regions where they occur. Detection by traditional methods is cumbersome and costly. For this reason, we propose a solution leveraging machine learning techniques using multispectral satellite imagery. We implemented these techniques and evaluated their performance using real-world examples and considering various important performance metrics. The results show that these techniques provide an accurate detection system and do not require costly computational resources.

Original language	English
Title of host publication	Developments and Advances in Defense and Security - Proceedings of MICRADS 2021
Editors	Álvaro Rocha, Carlos Hernan Fajardo-Toro, José María Riola Rodríguez
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	161-171
Number of pages	11
ISBN (Print)	9789811648830
DOIs	https://doi.org/10.1007/978-981-16-4884-7_13
State	Published - 2022
Event	Multidisciplinary International Conference of Research Applied to Defense and Security, MICRADS 2021 - Cartagena, Colombia Duration: 18 Aug 2021 → 20 Aug 2021

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	255
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Conference

Conference	Multidisciplinary International Conference of Research Applied to Defense and Security, MICRADS 2021
Country/Territory	Colombia
City	Cartagena
Period	18/08/21 → 20/08/21

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

Full convolutional neural network
Opencast mining
Semantic segmentation
Support vector machines

Access to Document

10.1007/978-981-16-4884-7_13

Cite this

Londoño-Peláez, J. M. (2022). Detection of Opencast Mining Sites from Multispectral Satellite Images. In Á. Rocha, C. H. Fajardo-Toro, & J. M. Riola Rodríguez (Eds.), Developments and Advances in Defense and Security - Proceedings of MICRADS 2021 (pp. 161-171). (Smart Innovation, Systems and Technologies; Vol. 255). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-16-4884-7_13

Londoño-Peláez, Jorge Mario. / Detection of Opencast Mining Sites from Multispectral Satellite Images. Developments and Advances in Defense and Security - Proceedings of MICRADS 2021. editor / Álvaro Rocha ; Carlos Hernan Fajardo-Toro ; José María Riola Rodríguez. Springer Science and Business Media Deutschland GmbH, 2022. pp. 161-171 (Smart Innovation, Systems and Technologies).

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title = "Detection of Opencast Mining Sites from Multispectral Satellite Images",

abstract = "In this work, we consider the problem of detecting unauthorized opencast mining activities from satellite imagery, which is important for the adverse effect they cause in the environment and the regions where they occur. Detection by traditional methods is cumbersome and costly. For this reason, we propose a solution leveraging machine learning techniques using multispectral satellite imagery. We implemented these techniques and evaluated their performance using real-world examples and considering various important performance metrics. The results show that these techniques provide an accurate detection system and do not require costly computational resources.",

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author = "Londo{\~n}o-Pel{\'a}ez, {Jorge Mario}",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; Multidisciplinary International Conference of Research Applied to Defense and Security, MICRADS 2021 ; Conference date: 18-08-2021 Through 20-08-2021",

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series = "Smart Innovation, Systems and Technologies",

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Londoño-Peláez, JM 2022, Detection of Opencast Mining Sites from Multispectral Satellite Images. in Á Rocha, CH Fajardo-Toro & JM Riola Rodríguez (eds), Developments and Advances in Defense and Security - Proceedings of MICRADS 2021. Smart Innovation, Systems and Technologies, vol. 255, Springer Science and Business Media Deutschland GmbH, pp. 161-171, Multidisciplinary International Conference of Research Applied to Defense and Security, MICRADS 2021, Cartagena, Colombia, 18/08/21. https://doi.org/10.1007/978-981-16-4884-7_13

Detection of Opencast Mining Sites from Multispectral Satellite Images. / Londoño-Peláez, Jorge Mario.
Developments and Advances in Defense and Security - Proceedings of MICRADS 2021. ed. / Álvaro Rocha; Carlos Hernan Fajardo-Toro; José María Riola Rodríguez. Springer Science and Business Media Deutschland GmbH, 2022. p. 161-171 (Smart Innovation, Systems and Technologies; Vol. 255).

Research output: Chapter in Book/Report/Conference proceeding › Conference and proceedings › peer-review

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AB - In this work, we consider the problem of detecting unauthorized opencast mining activities from satellite imagery, which is important for the adverse effect they cause in the environment and the regions where they occur. Detection by traditional methods is cumbersome and costly. For this reason, we propose a solution leveraging machine learning techniques using multispectral satellite imagery. We implemented these techniques and evaluated their performance using real-world examples and considering various important performance metrics. The results show that these techniques provide an accurate detection system and do not require costly computational resources.

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Londoño-Peláez JM. Detection of Opencast Mining Sites from Multispectral Satellite Images. In Rocha Á, Fajardo-Toro CH, Riola Rodríguez JM, editors, Developments and Advances in Defense and Security - Proceedings of MICRADS 2021. Springer Science and Business Media Deutschland GmbH. 2022. p. 161-171. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-981-16-4884-7_13

Detection of Opencast Mining Sites from Multispectral Satellite Images

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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Cite this