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原位数字相机法在海岸和海洋水质监测中的应用基础。

Fundamentals of in situ digital camera methodology for water quality monitoring of coast and ocean.

机构信息

Department of Earth and Ocean Sciences, National University of Ireland, Galway, Ireland; E-Mail:

出版信息

Sensors (Basel). 2009;9(7):5825-43. doi: 10.3390/s90705825. Epub 2009 Jul 22.

DOI:10.3390/s90705825
PMID:22346729
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3274132/
Abstract

Conventional digital cameras, the Nikon Coolpix885(®) and the SeaLife ECOshot(®), were used as in situ optical instruments for water quality monitoring. Measured response spectra showed that these digital cameras are basically three-band radiometers. The response values in the red, green and blue bands, quantified by RGB values of digital images of the water surface, were comparable to measurements of irradiance levels at red, green and cyan/blue wavelengths of water leaving light. Different systems were deployed to capture upwelling light from below the surface, while eliminating direct surface reflection. Relationships between RGB ratios of water surface images, and water quality parameters were found to be consistent with previous measurements using more traditional narrow-band radiometers. This current paper focuses on the method that was used to acquire digital images, derive RGB values and relate measurements to water quality parameters. Field measurements were obtained in Galway Bay, Ireland, and in the Southern Rockall Trough in the North Atlantic, where both yellow substance and chlorophyll concentrations were successfully assessed using the digital camera method.

摘要

常规数码相机,如尼康 Coolpix885(®)和 SeaLife ECOshot(®),被用作原位光学仪器进行水质监测。测量的响应光谱表明,这些数码相机基本上是三波段辐射计。通过水面数字图像的 RGB 值量化的红、绿和蓝波段的响应值,与水的红光、绿光和青/蓝光波段出射光的辐照度水平的测量值相当。不同的系统被部署用来捕获来自表面以下的上涌光,同时消除直接的表面反射。发现水面图像的 RGB 比值与水质参数之间的关系与使用更传统的窄带辐射计的先前测量结果一致。本论文重点介绍了获取数字图像、推导 RGB 值并将测量值与水质参数相关联的方法。在爱尔兰戈尔韦湾和北大西洋的南罗克勒托槽进行了现场测量,成功地使用数码相机方法评估了这两个区域的黄色物质和叶绿素浓度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46b/3274132/fbb2f7f70fd3/sensors-09-05825f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46b/3274132/950b34f4125a/sensors-09-05825f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46b/3274132/558239323512/sensors-09-05825f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46b/3274132/0c49084665d0/sensors-09-05825f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46b/3274132/2c93a9c274d6/sensors-09-05825f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46b/3274132/349e01b5bf62/sensors-09-05825f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46b/3274132/ae6826db3676/sensors-09-05825f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46b/3274132/a8d901f21f0d/sensors-09-05825f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46b/3274132/b01b9f7ca70d/sensors-09-05825f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46b/3274132/fbb2f7f70fd3/sensors-09-05825f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46b/3274132/950b34f4125a/sensors-09-05825f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46b/3274132/558239323512/sensors-09-05825f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46b/3274132/0c49084665d0/sensors-09-05825f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46b/3274132/2c93a9c274d6/sensors-09-05825f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46b/3274132/349e01b5bf62/sensors-09-05825f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46b/3274132/ae6826db3676/sensors-09-05825f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46b/3274132/a8d901f21f0d/sensors-09-05825f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46b/3274132/b01b9f7ca70d/sensors-09-05825f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e46b/3274132/fbb2f7f70fd3/sensors-09-05825f9.jpg

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