Design and Construction of UAV-Based Measurement System for Water Hyperspectral Remote-Sensing Reflectance

Acquiring a large number of in situ water spectral measurements is fundamental for constructing water color remote-sensing retrieval models and validating the accuracy of water color remote-sensing products. However, traditional manual site-based water spectral measurements are time-consuming and labor-intensive, resulting in an insufficient number of in situ water spectral samples to date. To resolve this issue, this study develops an unmanned aerial vehicle-based hyperspectral remote-sensing reflectance measurement system (UAV-RRS) capable of continuous on-the-move water spectral measurements. This paper provides a detailed introduction to the system components and conducts precise experiments on the correction and calibration of the spectral sensors. Using this system, an in situ-UAV-satellite multi-source remote-sensing reflectance comparison experiment was conducted in the middle reaches of the Qiantang River, East China, to evaluate the accuracy and reliability of UAV-RRS and extend the analysis to satellite data across different spatial scales. The results demonstrate that, in small-scale water bodies, UAV-RRS achieves higher spatial precision and spectral accuracy, offering a valuable solution for high-precision, low-altitude continuous water body observations.

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Publication Details

Journal
Sensors
Published
2025-05-02
DOI
https://doi.org/10.3390/s25092879
Citations
5
Primary Topic
Marine and coastal ecosystems
Type
article
Field-Weighted Citation Impact
8.97

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Design and Construction of UAV-Based Measurement System for Water Hyperspectral Remote-Sensing Reflectance

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5 citations
Sensors
Marine and coastal ecosystems
8.97
article

Design and Construction of UAV-Based Measurement System for Water Hyperspectral Remote-Sensing Reflectance

Xianqiang He, Difeng Wang, Yan Bai, Han Zeng, Xuan Zhang, Fang Gong
article en
5 citations

Abstract

Acquiring a large number of in situ water spectral measurements is fundamental for constructing water color remote-sensing retrieval models and validating the accuracy of water color remote-sensing products. However, traditional manual site-based water spectral measurements are time-consuming and labor-intensive, resulting in an insufficient number of in situ water spectral samples to date. To resolve this issue, this study develops an unmanned aerial vehicle-based hyperspectral remote-sensing reflectance measurement system (UAV-RRS) capable of continuous on-the-move water spectral measurements. This paper provides a detailed introduction to the system components and conducts precise experiments on the correction and calibration of the spectral sensors. Using this system, an in situ-UAV-satellite multi-source remote-sensing reflectance comparison experiment was conducted in the middle reaches of the Qiantang River, East China, to evaluate the accuracy and reliability of UAV-RRS and extend the analysis to satellite data across different spatial scales. The results demonstrate that, in small-scale water bodies, UAV-RRS achieves higher spatial precision and spectral accuracy, offering a valuable solution for high-precision, low-altitude continuous water body observations.

SensorsVol. 25(9)
Ministry of Natural Resources (CN), Zhejiang Ocean University (CN), Second Institute of Oceanography (CN), Zhejiang University (CN)
European Space Agency, National Natural Science Foundation of China, State Key Laboratory of Satellite Ocean Environment Dynamics, Natural Science Foundation of Zhejiang Province
Clean water and sanitation
Openalex Percentile: Top 2%
Marine and coastal ecosystems
8.97
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