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[Progress and Challenges in Remote Sensing Monitoring of Water Quality Parameters in Inland Waters]
Han-Bo Zhang1, Shi-Qing Dou2, Ying Wen3
1Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510308, China.
Huan Jing Ke Xue= Huanjing Kexue
|July 18, 2025
Summary
Remote sensing offers dynamic inland water quality monitoring, overcoming traditional limitations. Future research should refine data, integrate platforms, standardize techniques, and combine models for improved accuracy and broader application.
Area of Science:
- Environmental Science
- Remote Sensing Technology
- Water Resource Management
Context:
- Inland water pollution poses significant risks to aquatic ecosystems, water resources, and human health.
- Accurate, dynamic water quality monitoring is crucial for effective pollution control.
- Remote sensing provides advantages in spatial and temporal monitoring of water quality, revealing pollutant characteristics.
Purpose:
- To explore the evolution patterns and development trends of remote sensing for inland water quality monitoring.
- To analyze remote sensing data sources, monitoring methods, and indicators.
- To identify opportunities and challenges in remote sensing-based water quality assessment.
Summary:
- This study reviews remote sensing data sources and monitoring methods for inland water quality.
- It analyzes the principles, applications, strengths, and weaknesses of various techniques.
- Challenges include data synchronization, inversion mechanisms, algorithmic limitations, model robustness, and atmospheric corrections.
Impact:
- Proposes future research directions: refining remote sensing data, integrating monitoring platforms, standardizing techniques, and incorporating water quality models.
- Aims to accelerate the integration of new technologies for robust scientific support in water quality monitoring.
- Enhances the development of remote sensing applications for safeguarding inland water bodies.
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