Estimation of underwater visibility in coastal and inland waters using remote sensing data

被引:0
作者
Anuj Kulshreshtha
Palanisamy Shanmugam
机构
[1] Indian Institute of Technology Madras,Department of Ocean Engineering, Ocean Optics and Imaging Laboratory
来源
Environmental Monitoring and Assessment | 2017年 / 189卷
关键词
Secchi disk depth; Turbidity; Remote sensing reflectance; Coastal waters; Chlorophyll concentration; Total suspended sediments;
D O I
暂无
中图分类号
学科分类号
摘要
An optical method is developed to estimate water transparency (or underwater visibility) in terms of Secchi depth (Zsd), which follows the remote sensing and contrast transmittance theory. The major factors governing the variation in Zsd, namely, turbidity and length attenuation coefficient (1/(c + Kd), c = beam attenuation coefficient; Kd = diffuse attenuation coefficient at 531 nm), are obtained based on band rationing techniques. It was found that the band ratio of remote sensing reflectance (expressed as (Rrs(443) + Rrs(490))/(Rrs(555) + Rrs(670)) contains essential information about the water column optical properties and thereby positively correlates to turbidity. The beam attenuation coefficient (c) at 531 nm is obtained by a linear relationship with turbidity. To derive the vertical diffuse attenuation coefficient (Kd) at 531 nm, Kd(490) is estimated as a function of reflectance ratio (Rrs(670)/Rrs(490)), which provides the bio-optical link between chlorophyll concentration and Kd(531). The present algorithm was applied to MODIS-Aqua images, and the results were evaluated by matchup comparisons between the remotely estimated Zsd and in situ Zsd in coastal waters off Point Calimere and its adjoining regions on the southeast coast of India. The results showed the pattern of increasing Zsd from shallow turbid waters to deep clear waters. The statistical evaluation of the results showed that the percent mean relative error between the MODIS-Aqua-derived Zsd and in situ Zsd values was within ±25%. A close agreement achieved in spatial contours of MODIS-Aqua-derived Zsd and in situ Zsd for the month of January 2014 and August 2013 promises the model capability to yield accurate estimates of Zsd in coastal, estuarine, and inland waters. The spatial contours have been included to provide the best data visualization of the measured, modeled (in situ), and satellite-derived Zsd products. The modeled and satellite-derived Zsd values were compared with measurement data which yielded RMSE = 0.079, MRE = −0.016, and R2 = 0.95 for the modeled Zsd and RMSE = 0.075, MRE = 0.020, and R2 = 0.95 for the satellite-derived Zsd products.
引用
收藏
相关论文
共 50 条
[21]   A New Method of Profiling Remote-Sensing Reflectance of Coastal Waters [J].
李铜基 ;
陈清莲 ;
汪小勇 ;
杨安安 .
MarineScienceBulletin, 2005, (01) :37-44
[22]   Remote estimation of phycocyanin (PC) for inland waters coupled with YSI PC fluorescence probe [J].
Song, Kaishan ;
Li, Lin ;
Tedesco, Lenore ;
Clercin, Nicole ;
Hall, Bob ;
Li, Shuai ;
Shi, Kun ;
Liu, Dawei ;
Sun, Ying .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2013, 20 (08) :5330-5340
[23]   Remote Sensing of Turbidity in Optically Shallow Waters Using Sentinel-2 MSI and PRISMA Satellite Data [J].
Katlane, Rim ;
Doxaran, David ;
Elkilani, Boubaker ;
Trabelsi, Chaima .
PFG-JOURNAL OF PHOTOGRAMMETRY REMOTE SENSING AND GEOINFORMATION SCIENCE, 2024, 92 (04) :431-447
[24]   Validation of Remote Sensing Reflectance from PACE OCI Sensor in coastal waters [J].
Herrera-Estrella, Eder ;
Gilerson, Alexander ;
Foster, Robert ;
El-Habashi, Ahmed ;
Ondrusek, Michael .
OCEAN SENSING AND MONITORING XVII, 2025, 13482
[25]   Comparison of remote sensing algorithms for retrieval of suspended particulate matter concentration from reflectance in coastal waters [J].
Freeman, Lauren A. ;
Ackleson, Steven G. ;
Rhea, William Joseph .
JOURNAL OF APPLIED REMOTE SENSING, 2017, 11
[26]   Global satellite water classification data products over oceanic, coastal, and inland waters [J].
Wei, Jianwei ;
Wang, Menghua ;
Mikelsons, Karlis ;
Jiang, Lide ;
Kratzer, Susanne ;
Lee, Zhongping ;
Moore, Tim ;
Sosik, Heidi M. ;
Van der Zande, Dimitry .
REMOTE SENSING OF ENVIRONMENT, 2022, 282
[27]   Improved retrieval of Secchi depth for optically-complex waters using remote sensing data [J].
Alikas, Krista ;
Kratzer, Susanne .
ECOLOGICAL INDICATORS, 2017, 77 :218-227
[28]   STUDY ON REMOTE SENSING ESTIMATION OF SUSPENDED MATTER CONCENTRATIONS BASED ON IN SITU HYPERSPECTRAL DATA IN LAKE TAI WATERS [J].
Sun De-Yong ;
Li Yun-Mei ;
Wang Qiao ;
Le Cheng-Feng ;
Huang Chang-Chun ;
Shi Kun ;
Wang Li-Zhen .
JOURNAL OF INFRARED AND MILLIMETER WAVES, 2009, 28 (02) :124-128
[29]   Advances in Dissolved Organic Carbon Remote Sensing Inversion in Inland Waters: Methodologies, Challenges, and Future Directions [J].
Xu, Dandan ;
Xue, Rui ;
Luo, Mengyuan ;
Wang, Wenhuan ;
Zhang, Wei ;
Wang, Yinghui .
SUSTAINABILITY, 2025, 17 (14)
[30]   Analyze of the Inherent Optical Properties of French Guiana Coastal Waters for Remote Sensing Applications [J].
Loisel, H. ;
Meriaux, X. ;
Poteau, A. ;
Artigas, L. F. ;
Lubac, B. ;
Gardel, A. ;
Cafflaud, J. ;
Lesourd, S. .
JOURNAL OF COASTAL RESEARCH, 2009, :1532-1536