Applied Science and Technology, North Carolina A &T State University, 1601 E Market St, Greensboro, NC, 27411, USA.
Department of Build Environment, North Carolina A &T State University, 1601 E Market St, Greensboro, NC, 27411, USA.
Environ Monit Assess. 2024 Feb 17;196(3):277. doi: 10.1007/s10661-024-12342-6.
High spatial and temporal resolution data is crucial to comprehend the dynamics of water quality fully, support informed decision-making, and allow efficient management and protection of water resources. Traditional in situ water quality measurement techniques are both time-consuming and labor-intensive, resulting in databases with limited spatial and temporal frequency. To address these challenges, satellite-driven water quality assessment has emerged as an efficient and effective solution, offering comprehensive data on larger-scale water bodies. Numerous studies have utilized multispectral and hyperspectral remote sensing data from various sensors to assess water quality, yielding promising results. However, the recent popularity of unmanned aerial vehicle (UAV) remote sensing can be attributed to its high spatial and temporal resolution, flexibility, ability to capture data at different times of day, and relatively low cost compared to traditional platforms. This study presents a comprehensive review of the current state of the art in monitoring water quality in small inland water bodies using satellite and UAV remote sensing data. It encompasses an overview of atmospheric correction algorithms and the assessment of different water quality parameters. Furthermore, the review addresses the challenges associated with monitoring water quality in these bodies of water and emphasizes the potential of UAVs to overcome these challenges by providing accurate and reliable data.
高时空分辨率数据对于全面理解水质动态、支持明智决策以及实现水资源的有效管理和保护至关重要。传统的原位水质测量技术既耗时又费力，导致数据库的时空频率有限。为了解决这些挑战，卫星驱动的水质评估已经成为一种高效、有效的解决方案，为更大尺度的水体提供全面的数据。许多研究利用来自各种传感器的多光谱和高光谱遥感数据来评估水质，取得了有前景的结果。然而，最近无人机 (UAV) 遥感的普及可以归因于其高时空分辨率、灵活性、能够在一天中的不同时间捕获数据以及与传统平台相比相对较低的成本。本研究全面回顾了使用卫星和 UAV 遥感数据监测小型内陆水体水质的最新技术状况。它包括大气校正算法概述和不同水质参数的评估。此外，该综述还讨论了监测这些水体水质所面临的挑战，并强调了 UAV 通过提供准确可靠的数据来克服这些挑战的潜力。
