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Measurement of Water Leaving Reflectance Using a Digital Camera Based on Multiple Reflectance Reference Cards

With the development of citizen science, digital cameras and smartphones are increasingly utilized in water quality monitoring. The smartphone application HydroColor quantitatively retrieves water quality parameters from digital images. HydroColor assumes a linear relationship between the digital pi...

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Autores principales: Gao, Min, Li, Junsheng, Zhang, Fangfang, Wang, Shenglei, Xie, Ya, Yin, Ziyao, Zhang, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698626/
https://www.ncbi.nlm.nih.gov/pubmed/33217939
http://dx.doi.org/10.3390/s20226580
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author Gao, Min
Li, Junsheng
Zhang, Fangfang
Wang, Shenglei
Xie, Ya
Yin, Ziyao
Zhang, Bing
author_facet Gao, Min
Li, Junsheng
Zhang, Fangfang
Wang, Shenglei
Xie, Ya
Yin, Ziyao
Zhang, Bing
author_sort Gao, Min
collection PubMed
description With the development of citizen science, digital cameras and smartphones are increasingly utilized in water quality monitoring. The smartphone application HydroColor quantitatively retrieves water quality parameters from digital images. HydroColor assumes a linear relationship between the digital pixel number (DN) and incident radiance and applies a grey reference card to derive water leaving reflectance. However, image DNs change with incident light brightness non-linearly, according to a power function. We developed an improved method for observing and calculating water leaving reflectance from digital images based on multiple reflectance reference cards. The method was applied to acquire water, sky, and reflectance reference card images using a Cannon 50D digital camera at 31 sampling stations; the results were validated using synchronously measured water leaving reflectance using a field spectrometer. The R(2) for the red, green, and blue color bands were 0.94, 0.95, 0.94, and the mean relative errors were 27.6%, 29.8%, 31.8%, respectively. The validation results confirm that this method can derive accurate water leaving reflectance, especially when compared with the results derived by HydroColor, which systematically overestimates water leaving reflectance. Our results provide a more accurate theoretical foundation for quantitative water quality monitoring using digital and smartphone cameras.
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spelling pubmed-76986262020-11-29 Measurement of Water Leaving Reflectance Using a Digital Camera Based on Multiple Reflectance Reference Cards Gao, Min Li, Junsheng Zhang, Fangfang Wang, Shenglei Xie, Ya Yin, Ziyao Zhang, Bing Sensors (Basel) Article With the development of citizen science, digital cameras and smartphones are increasingly utilized in water quality monitoring. The smartphone application HydroColor quantitatively retrieves water quality parameters from digital images. HydroColor assumes a linear relationship between the digital pixel number (DN) and incident radiance and applies a grey reference card to derive water leaving reflectance. However, image DNs change with incident light brightness non-linearly, according to a power function. We developed an improved method for observing and calculating water leaving reflectance from digital images based on multiple reflectance reference cards. The method was applied to acquire water, sky, and reflectance reference card images using a Cannon 50D digital camera at 31 sampling stations; the results were validated using synchronously measured water leaving reflectance using a field spectrometer. The R(2) for the red, green, and blue color bands were 0.94, 0.95, 0.94, and the mean relative errors were 27.6%, 29.8%, 31.8%, respectively. The validation results confirm that this method can derive accurate water leaving reflectance, especially when compared with the results derived by HydroColor, which systematically overestimates water leaving reflectance. Our results provide a more accurate theoretical foundation for quantitative water quality monitoring using digital and smartphone cameras. MDPI 2020-11-18 /pmc/articles/PMC7698626/ /pubmed/33217939 http://dx.doi.org/10.3390/s20226580 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gao, Min
Li, Junsheng
Zhang, Fangfang
Wang, Shenglei
Xie, Ya
Yin, Ziyao
Zhang, Bing
Measurement of Water Leaving Reflectance Using a Digital Camera Based on Multiple Reflectance Reference Cards
title Measurement of Water Leaving Reflectance Using a Digital Camera Based on Multiple Reflectance Reference Cards
title_full Measurement of Water Leaving Reflectance Using a Digital Camera Based on Multiple Reflectance Reference Cards
title_fullStr Measurement of Water Leaving Reflectance Using a Digital Camera Based on Multiple Reflectance Reference Cards
title_full_unstemmed Measurement of Water Leaving Reflectance Using a Digital Camera Based on Multiple Reflectance Reference Cards
title_short Measurement of Water Leaving Reflectance Using a Digital Camera Based on Multiple Reflectance Reference Cards
title_sort measurement of water leaving reflectance using a digital camera based on multiple reflectance reference cards
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698626/
https://www.ncbi.nlm.nih.gov/pubmed/33217939
http://dx.doi.org/10.3390/s20226580
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