Tracking global large lake surface temperature variation from space using MODIS land surface temperature product
Water temperature monitoring plays a crucial role in the ecological functioning and biogeochemical cycling of aquatic ecosystems. Compared to conventional methods, satellite remote sensing provides a more efficient way to assess lake surface water temperature (LSWT) variations, particularly for larg...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-11-01
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| Series: | Ecological Informatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954125001931 |
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| Summary: | Water temperature monitoring plays a crucial role in the ecological functioning and biogeochemical cycling of aquatic ecosystems. Compared to conventional methods, satellite remote sensing provides a more efficient way to assess lake surface water temperature (LSWT) variations, particularly for large, remote water bodies. In this study, MODIS Land Surface Temperature (LST) product Level 3 (MOD11A2) is employed to analyze the spatiotemporal changes in LST for global inland water bodies with areas exceeding 25 km2. This research aims to understand LSWT variations and identify the contributing factors. The findings indicate that during the nighttime, LSWT in different lakes ranges from −11 °C to 26 °C, while diurnal temperature differences (DTDs) range from 1.3 °C to 16.9 °C. Factors such as lake depth, surface area (or volume), altitude, geographical location, and water supply sources are shown to influence LSWT variations. This study addresses the gap in long-term LSWT research for lakes larger than 25 km2 worldwide, providing valuable insights into the mechanisms driving LSWT changes in similar lake systems. |
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| ISSN: | 1574-9541 |