Ground-Independent UAV Quantitative Mapping and In Situ Experimental Validation for Coral Reef Habitats

Optically shallow waters, which host ecosystems like coral reefs, are characterized by complex radiative transfer pathways. Surface reflectance derived from remote sensing in optically shallow waters is influenced by water depth, water quality, and bottom reflectance. Consequently, in-situ measurements of these parameters are often challenging to match directly with remote sensing-derived reflectance. However, this also highlights the potential for estimating these environmental parameters from reflectance data. This study proposes a UAV quantitative mapping approach for coral reef habitats using a drone and a multispectral camera, independent of ground-based in-situ measurements. It also proposes an in-situ experimental design and instrumentation for validating optical parameters. In the study area, water depths between 0 and 6 m were well detected. UAV-derived depths achieved a coefficient of determination (R<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>) of 0.910 and an overall RMSE of 0.410 m compared to echo-sounding results. The estimated optical attenuation coefficients for the BGR channels at representative depths were 0.424, 0.32, and 0.647 m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-1</sup>, respectively, corresponding to various natural waters with chlorophyll concentrations of approximately 0.2–0.5 mg/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup>. This aligns well with the in-situ chlorophyll measurements, which had an average value of 0.38 mg/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup>. Remote sensing-derived bottom reflectance aligns with in-situ measurements in both magnitude and spectral shape. Overall, the proposed UAV quantitative mapping method enhances the efficiency and diversity of coral reef monitoring, while the in-situ survey approach ensures accuracy. Both aerial and in-situ methods hold promise for routine coral reef research and conservation efforts.

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Publication Details

Journal
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Published
2025-01-01
DOI
https://doi.org/10.1109/jstars.2025.3578444
Primary Topic
Marine animal studies overview
Type
article
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article

Ground-Independent UAV Quantitative Mapping and In Situ Experimental Validation for Coral Reef Habitats

Yunhan Ma, Dongling Li, Huaguo Zhang, Wenting Cao et al.
1 links
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Marine animal studies overview
article

Ground-Independent UAV Quantitative Mapping and In Situ Experimental Validation for Coral Reef Habitats

Yunhan Ma, Dongling Li, Huaguo Zhang, Wenting Cao, Enze Wang, Juan Wang, Tong Han
article en

Abstract

Optically shallow waters, which host ecosystems like coral reefs, are characterized by complex radiative transfer pathways. Surface reflectance derived from remote sensing in optically shallow waters is influenced by water depth, water quality, and bottom reflectance. Consequently, in-situ measurements of these parameters are often challenging to match directly with remote sensing-derived reflectance. However, this also highlights the potential for estimating these environmental parameters from reflectance data. This study proposes a UAV quantitative mapping approach for coral reef habitats using a drone and a multispectral camera, independent of ground-based in-situ measurements. It also proposes an in-situ experimental design and instrumentation for validating optical parameters. In the study area, water depths between 0 and 6 m were well detected. UAV-derived depths achieved a coefficient of determination (R<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>) of 0.910 and an overall RMSE of 0.410 m compared to echo-sounding results. The estimated optical attenuation coefficients for the BGR channels at representative depths were 0.424, 0.32, and 0.647 m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-1</sup>, respectively, corresponding to various natural waters with chlorophyll concentrations of approximately 0.2–0.5 mg/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup>. This aligns well with the in-situ chlorophyll measurements, which had an average value of 0.38 mg/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup>. Remote sensing-derived bottom reflectance aligns with in-situ measurements in both magnitude and spectral shape. Overall, the proposed UAV quantitative mapping method enhances the efficiency and diversity of coral reef monitoring, while the in-situ survey approach ensures accuracy. Both aerial and in-situ methods hold promise for routine coral reef research and conservation efforts.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingVol. 18
Shanghai Jiao Tong University (CN), Ministry of Natural Resources (CN), Zhejiang Ocean University (CN), Second Institute of Oceanography (CN), Zhejiang University (CN)
Life below water
Openalex Percentile: Top 87%
Marine animal studies overview
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