Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

An Evaluation of Sun-Glint Correction Methods for UAV-Derived Secchi Depth Estimations in Inland Water Bodies

Version 1 : Received: 24 July 2023 / Approved: 24 July 2023 / Online: 25 July 2023 (09:58:42 CEST)

A peer-reviewed article of this Preprint also exists.

Tiškus, E.; Bučas, M.; Vaičiūtė, D.; Gintauskas, J.; Babrauskienė, I. An Evaluation of Sun-Glint Correction Methods for UAV-Derived Secchi Depth Estimations in Inland Water Bodies. Drones 2023, 7, 546. Tiškus, E.; Bučas, M.; Vaičiūtė, D.; Gintauskas, J.; Babrauskienė, I. An Evaluation of Sun-Glint Correction Methods for UAV-Derived Secchi Depth Estimations in Inland Water Bodies. Drones 2023, 7, 546.

Abstract

This study investigates the application of Unmanned Aerial Vehicles (UAVs) equipped with a Micasense RedEdge-MX multispectral camera for the estimation of Secchi Depth (SD) in inland water bodies. The research analyzed and compared five sun-glint correction methodologies — Hedley, Goodman, Lyzenga, Joyce, and threshold removed glint to model the SD values derived from UAV multispectral imagery, highlighting the role of reflectance accuracy and algorithmic precision in SD modeling. While Goodman's method showed a higher correlation (0.92) with in situ SD measurements, Hedley's method exhibited the smallest average deviation (0.65 m), suggesting its potential in water resource management, environmental monitoring, and ecological modeling. The study also underscored the Quasi-Analytical Algorithm (QAA) potential in estimating SD due to its flexibility to process data from various sensors without requiring in situ measurements, offering scalability for large-scale water quality surveys. The accuracy of SD measures, calculated using QAA, was related to variability in water constituents of coloured dissolved organic matter and the solar zenith angle. A practical workflow for SD acquisition using UAVs and multispectral data was proposed for monitoring inland water bodies.

Keywords

UAVs; Secchi depth; multispectral imagery; sun-glint; quasi-analytical algorithm; remote sensing

Subject

Environmental and Earth Sciences, Remote Sensing

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