Literature DB >> 16608000

Apparent and inherent optical properties of turbid estuarine waters: measurements, empirical quantification relationships, and modeling.

David Doxaran1, Nagur Cherukuru, Samantha J Lavender.   

Abstract

Spectral measurements of remote-sensing reflectance (Rrs) and absorption coefficients carried out in three European estuaries (Gironde and Loire in France, Tamar in the UK) are presented and analyzed. Typical Rrs and absorption spectra are compared with typical values measured in coastal waters. The respective contributions of the water constituents, i.e., suspended sediments, colored dissolved organic matter, and phytoplankton (characterized by chlorophyll-a), are determined. The Rrs spectra are then reproduced with an optical model from the measured absorption coefficients and fitted backscattering coefficients. From Rrs ratios, empirical quantification relationships are established, reproduced, and explained from theoretical calculations. These quantification relationships were established from numerous field measurements and a reflectance model integrating the mean values of the water constituents' inherent optical properties. The model's sensitivity to the biogeochemical constituents and to their nature and composition is assessed.

Entities:  

Year:  2006        PMID: 16608000     DOI: 10.1364/ao.45.002310

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  5 in total

1.  Specific absorption and backscattering coefficients of the main water constituents in Poyang Lake, China.

Authors:  Guofeng Wu; Lijuan Cui; Hongtao Duan; Teng Fei; Yaolin Liu
Journal:  Environ Monit Assess       Date:  2012-09-14       Impact factor: 2.513

2.  Comparison of satellite reflectance algorithms for estimating turbidity and cyanobacterial concentrations in productive freshwaters using hyperspectral aircraft imagery and dense coincident surface observations.

Authors:  Richard Beck; Min Xu; Shengan Zhan; Richard Johansen; Hongxing Liu; Susanna Tong; Bo Yang; Song Shu; Qiusheng Wu; Shujie Wang; Kevin Berling; Andrew Murray; Erich Emery; Molly Reif; Joseph Harwood; Jade Young; Christopher Nietch; Dana Macke; Mark Martin; Garrett Stillings; Richard Stumpf; Haibin Su; Zhaoxia Ye; Yan Huang
Journal:  J Great Lakes Res       Date:  2019-06-01       Impact factor: 2.480

3.  Retrieval of total suspended matter (TSM) and chlorophyll-a (Chl-a) concentration from remote-sensing data for drinking water resources.

Authors:  Kaishan Song; Lin Li; Zongming Wang; Dianwei Liu; Bai Zhang; Jingping Xu; Jia Du; Linhai Li; Shuai Li; Yuandong Wang
Journal:  Environ Monit Assess       Date:  2011-04-28       Impact factor: 2.513

Review 4.  A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques.

Authors:  Mohammad Haji Gholizadeh; Assefa M Melesse; Lakshmi Reddi
Journal:  Sensors (Basel)       Date:  2016-08-16       Impact factor: 3.576

5.  Island building in the South China Sea: detection of turbidity plumes and artificial islands using Landsat and MODIS data.

Authors:  Brian B Barnes; Chuanmin Hu
Journal:  Sci Rep       Date:  2016-09-15       Impact factor: 4.379

  5 in total

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