On-Site and Remote Sensing Assessment of Water Pollution in the Sokolov Coal Basin, Czech Republic.
Effective water pollution assessment is essential for promoting sustainable development, especially in mining regions, where water resources are frequently degraded. Unmanned Aerial Vehicles (UAVs) and satellite imagery offer valuable tools for monitoring and evaluating surface water quality. This s...
| Publicado en: | Environmental Management Vol. 75; no. 12; pp. 3493 - 3508 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=189002559&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 189002559 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0364152X O5H jtl: Environmental Management issn: 0364152X maglogo: N pubinfo: dt: Dec2025 vid: 75 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 189002559 187690465 10.1007/s00267-025-02252-9 189002559 ppf: 3493 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: On-Site and Remote Sensing Assessment of Water Pollution in the Sokolov Coal Basin, Czech Republic. aug: au: Berka, Martin Hendrychová, Markéta Klouček, Tomáš Zikmundová, Markéta Svobodova, Kamila affil: https://ror.org/0415vcw02 Department of Landscape and Urban Planning, Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic sug: ab: Effective water pollution assessment is essential for promoting sustainable development, especially in mining regions, where water resources are frequently degraded. Unmanned Aerial Vehicles (UAVs) and satellite imagery offer valuable tools for monitoring and evaluating surface water quality. This study aimed to compare the results of on-site water sampling with data obtained from multispectral images captured by UAVs and Sentinel-2 satellites, while also identifying the limitations of these methods. A total of 54 water samples were collected from two locations in the Sokolov coal basin in the Czech Republic during two field campaigns, in spring and autumn 2020. Concurrently, multispectral images were taken on-site using UAVs, and satellite images from Sentinel-2 satellites were also analyzed. The water samples were examined using atomic spectrometry to measure concentrations of iron, manganese, and sulfate ions. Statistically significant correlations were observed between sulfate (SO42−) concentrations and all spectral bands of the Parrot Sequoia multispectral drone camera (positive correlation), as well as between total nitrogen (TN) and the B1 and B2 spectra (green and red) (negative correlation). This study has confirmed the effectiveness of remote sensing methods as faster and more cost-efficient tools for assessing the quality of surface water impacted by open-pit coal mining. UAVs were found to be more suitable for monitoring smaller areas (units of km2) due to their superior spatial resolution compared to satellite imagery, which makes them a valuable resource for detecting water pollution in localized environments. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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