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Article

Thermal Profile Dynamics of a Central European River Based on Landsat Images: Natural and Anthropogenic Influencing Factors

1
Department of Geoinformatics, Physical and Environmental Geography, University of Szeged, Egyetem Str. 2–6, 6722 Szeged, Hungary
2
Department of Irrigation and Hydraulics Engineering, Tanta University, Tanta 31512, Egypt
3
Independent Researcher, Horváth Gy. Str. 80, 6630 Mindszent, Hungary
4
Department of Hydraulic and Water Resources Engineering, Budapest University of Technology and Economics, Műegyetem Rkp. 3, 1111 Budapest, Hungary
*
Author to whom correspondence should be addressed.
Remote Sens. 2024, 16(17), 3196; https://doi.org/10.3390/rs16173196
Submission received: 2 July 2024 / Revised: 21 August 2024 / Accepted: 27 August 2024 / Published: 29 August 2024
(This article belongs to the Special Issue Satellite-Based Climate Change and Sustainability Studies)

Abstract

River temperature is a critical parameter influencing aquatic ecosystems and water quality. However, it can be changed by natural (e.g., flow and depth conditions) and human factors (e.g., waste and industrial water drainage). Satellite-based monitoring offers a valuable tool for assessing river temperature on a large scale, elucidating the impacts of various factors. This study aims to analyze the spatiotemporal dynamics of surface water temperature (SWT) in the medium-sized Tisza River in response to natural and anthropogenic influences, employing Landsat satellites and in situ water temperature data. The validity of the Landsat-based SWT estimates was assessed across different channel sections with varying sizes. The longitudinal thermal profile of the Tisza was analyzed by mosaicking, monthly, four Landsat 9 images, covering the entire 962 km length of the Tisza in 2023. The impact of climate change was evaluated by analyzing SWT trends at a specific site from 1984 to 2024, utilizing 483 Landsat 4–9 images. The findings indicated elevated accuracy for Landsat-based SWT estimation (R2 = 0.94; RMSE = 3.66 °C), particularly for channel sizes covering ≥ 3 pixels. Discharge, microclimatic conditions, and channel morphology significantly influence SWT, demonstrating a general increasing trend downstream with occasional decreases during the summer months. Dams were observed to lower the SWT downstream due to cooler bottom reservoir water discharge, with more pronounced differences during the summer months (1–3 °C). Tributaries predominantly (75%) elevated the SWT in the Tisza River, albeit with varying magnitudes across different months. Over the 40-year study period, an increasing trend in SWT was discerned, with an annual rise rate of 0.0684 °C. While the thermal band of Landsat satellites proved valuable for investigating the Tisza River’s thermal profile at a broad scale, finer spatial resolution bands are necessary for detecting small-scale phenomena such as thermal plumes and localized temperature variations in rivers.
Keywords: thermal bands; Google Earth Engine (GEE); dams; tributaries; urban heat island; riverbanks thermal bands; Google Earth Engine (GEE); dams; tributaries; urban heat island; riverbanks

Share and Cite

MDPI and ACS Style

Mohsen, A.; Kiss, T.; Baranya, S.; Balla, A.; Kovács, F. Thermal Profile Dynamics of a Central European River Based on Landsat Images: Natural and Anthropogenic Influencing Factors. Remote Sens. 2024, 16, 3196. https://doi.org/10.3390/rs16173196

AMA Style

Mohsen A, Kiss T, Baranya S, Balla A, Kovács F. Thermal Profile Dynamics of a Central European River Based on Landsat Images: Natural and Anthropogenic Influencing Factors. Remote Sensing. 2024; 16(17):3196. https://doi.org/10.3390/rs16173196

Chicago/Turabian Style

Mohsen, Ahmed, Tímea Kiss, Sándor Baranya, Alexia Balla, and Ferenc Kovács. 2024. "Thermal Profile Dynamics of a Central European River Based on Landsat Images: Natural and Anthropogenic Influencing Factors" Remote Sensing 16, no. 17: 3196. https://doi.org/10.3390/rs16173196

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