The role of remote sensing in the evolution of water pollution detection and monitoring: a comprehensive review
The role of remote sensing in the evolution of water pollution detection and monitoring: a comprehensive review
This comprehensive review explores the transformative role of remote sensing technologies in the detection and monitoring of water pollution. Remote sensing provides dynamic, large-scale, and cost-effective solutions for continuous assessment of water quality. The review covers the application of remote sensing for detecting a range of pollutants, including chemical contaminants, physical parameters, and biological pollutants. The review systematically analyzed 132 studies selected from the Web of Science database using the keywords “remote sensing” and “water pollution,” covering publications from the 1990s to December 2023. The analysis highlights the use of multispectral and hyperspectral imaging, machine learning algorithms, and statistical models for precise pollutant detection and quantification.
Key findings demonstrate the efficacy of remote sensing in providing timely and detailed information on water quality, which is essential for environmental monitoring and management. However, several challenges persist, including limitations in the spatial and temporal resolution of satellite sensors, the complexity of water body optical properties, and the need for advanced data processing algorithms. Future research should address these challenges by focusing on enhancing sensor technology, developing sophisticated algorithms for data analysis, and integrating remote sensing with in-situ measurements to achieve more comprehensive water quality monitoring. This review underscores the significant advancements in remote sensing technologies and their crucial role in sustainable water resource management and environmental protection. It emphasizes the need for ongoing innovation and interdisciplinary collaboration to further enhance our understanding and management of water pollution.
Kaplan, Gordana
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Yalcinkaya, Fatma
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Altiok, Esra
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Pietrelli, Andrea
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Nastro, Rosa Anna
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Lovecchio, Nicola
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Ieropoulos, Ioannis A.
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Tsipa, Argyro
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23 August 2024
Kaplan, Gordana
0c70a60d-a48c-4b92-8a6b-e9473e0d3dd3
Yalcinkaya, Fatma
416f0afe-0f89-41c6-b286-3138725dc21e
Altiok, Esra
550333d5-38a0-4849-b7e2-cabe8ea522c5
Pietrelli, Andrea
02222e77-ad8b-4478-b95b-89ad650df070
Nastro, Rosa Anna
abfc4ba1-a65c-4160-93ff-94548fc1ac0f
Lovecchio, Nicola
824cec48-0bd0-46d4-9fb5-f7d600f240cd
Ieropoulos, Ioannis A.
6c580270-3e08-430a-9f49-7fbe869daf13
Tsipa, Argyro
b642bb29-53c9-4cf4-8c0d-139584b8a5ab
Kaplan, Gordana, Yalcinkaya, Fatma, Altiok, Esra, Pietrelli, Andrea, Nastro, Rosa Anna, Lovecchio, Nicola, Ieropoulos, Ioannis A. and Tsipa, Argyro
(2024)
The role of remote sensing in the evolution of water pollution detection and monitoring: a comprehensive review.
Physics and Chemistry of the Earth, Parts A, B and C, 136, [103712].
(doi:10.1016/j.pce.2024.103712).
Abstract
This comprehensive review explores the transformative role of remote sensing technologies in the detection and monitoring of water pollution. Remote sensing provides dynamic, large-scale, and cost-effective solutions for continuous assessment of water quality. The review covers the application of remote sensing for detecting a range of pollutants, including chemical contaminants, physical parameters, and biological pollutants. The review systematically analyzed 132 studies selected from the Web of Science database using the keywords “remote sensing” and “water pollution,” covering publications from the 1990s to December 2023. The analysis highlights the use of multispectral and hyperspectral imaging, machine learning algorithms, and statistical models for precise pollutant detection and quantification.
Key findings demonstrate the efficacy of remote sensing in providing timely and detailed information on water quality, which is essential for environmental monitoring and management. However, several challenges persist, including limitations in the spatial and temporal resolution of satellite sensors, the complexity of water body optical properties, and the need for advanced data processing algorithms. Future research should address these challenges by focusing on enhancing sensor technology, developing sophisticated algorithms for data analysis, and integrating remote sensing with in-situ measurements to achieve more comprehensive water quality monitoring. This review underscores the significant advancements in remote sensing technologies and their crucial role in sustainable water resource management and environmental protection. It emphasizes the need for ongoing innovation and interdisciplinary collaboration to further enhance our understanding and management of water pollution.
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The role of remote sensing in the evolution of water pollution detection and monitoring A comprehensive review
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Accepted/In Press date: 19 August 2024
e-pub ahead of print date: 22 August 2024
Published date: 23 August 2024
Identifiers
Local EPrints ID: 504516
URI: http://eprints.soton.ac.uk/id/eprint/504516
ISSN: 1474-7065
PURE UUID: 7029bc35-1971-4854-a69c-f20d41b624d6
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Date deposited: 10 Sep 2025 15:57
Last modified: 11 Sep 2025 03:26
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Contributors
Author:
Gordana Kaplan
Author:
Fatma Yalcinkaya
Author:
Esra Altiok
Author:
Andrea Pietrelli
Author:
Rosa Anna Nastro
Author:
Nicola Lovecchio
Author:
Argyro Tsipa
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