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A Review of Hyperspectral Inversion Methods for Water Quality Abstract

Author(s): Shi Tianyu; Li Zhe

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Keywords: Hyperspectral remote sensing; Water quality detection; Water quality inversion

Abstract: With the population increase and society’s rapid development, the demand for water resources is increasing. Increased water pollution deteriorates water quality and threatens human health, the balance of water ecosystems, economic development, and social prosperity. Therefore, continuous and accurate monitoring of water resources management is needed. Conventional water quality monitoring methods are costly, time-consuming, and laborious; remote sensing technology provides an effective way for long-term and rapid monitoring of the environment of water bodies, while large-scale observation also makes up for the lack of observation sample points. The gradual maturation of hyperspectral remote sensing technology provides a good technical means for monitoring the overall watershed, which can control water quality on a large scale. The new means is through the collection of hyperspectral data of water bodies, and synchronization of field data sampling, through the analysis of the relationship between the concentration of water quality parameters and spectral characteristics, the establishment of water quality inversion model, to achieve the purpose of monitoring a wide range of waters. This non-contact monitoring method not only improves the monitoring efficiency but also realizes the monitoring of large-scale waters and provides more comprehensive data support for water quality protection and water resource management, which in turn can realize the comprehensive monitoring and assessment of water bodies. At present, scholars at home and abroad have successfully inverted the quality of water bodies based on the spectral features of water bodies using various methods. This paper introduces the spectral features of water bodies and the extraction of spectral feature bands, as well as the main methods of estimating the quality of water bodies using hyperspectral remote sensing technology, summarizes the current research status and application progress of hyperspectral water quality inversion technology, and emphasizes the importance and potential of hyperspectral water quality inversion technology in water quality monitoring. Finally, future research directions and trends are prospected.

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Year: 2024

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