Literature DB >> 19529411

Comparisons of optical properties of the coastal ocean derived from satellite ocean color and in situ measurements.

Grace C Chang1, Richard W Gould.   

Abstract

Satellite-derived optical properties are compared to in situ mooring and ship-based measurements at a coastal site. Comparisons include remote sensing reflectance (R(rs)), chlorophyll concentration (Chl) using two different Chl algorithms, and spectral absorption [a(pg)(lambda)] and backscattering coefficients [b(b)(555)] using three different bio-optical algorithms. For mooring/shipboard comparisons, we observed mean relative errors of 70.5%/-3.8% (SeaWiFS OC4v4), -21.4%/-49.3% (SeaWiFS Stumpf), 109.5%/13.4% (MODIS OC3m) and 0.5%/-48.9% (MODIS Stumpf) for Chl. For satellite-derived and mooring comparisons of a(pg)(412), we found mean relative errors of -69.4% (-67.1%), -52.6% (- 48.9%), and -62.7% (-65.4%) for the Arnone, GSM, and QAA algorithms for SeaWiFS (MODIS), respectively. Mean relative errors of 21.3%, 19.9%, and 16.5% were found between SeaWiFS-derived (Arnone, GSM, and QAA algorithms, respectively) and moored b(b)(555) measurements. Discrepancies in Rrs at blue wavelengths are attributed to the satellite atmospheric correction and sea surface variations of the moored radiometers. High spatial and temporal variability of bio-optical properties coupled with differences in measurement techniques (pixel versus point) contribute to inconsistencies between remotely sensed and in situ biooptical properties.

Entities:  

Year:  2006        PMID: 19529411     DOI: 10.1364/oe.14.010149

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  4 in total

1.  Satellite observation of particulate organic carbon dynamics in two river-dominated estuaries.

Authors:  Chengfeng Le; John C Lehrter; Chuanmin Hu; Hugh MacIntyre; Marcus Beck
Journal:  J Geophys Res Oceans       Date:  2017-01       Impact factor: 3.405

2.  Noise tolerance of algorithms for estimating chlorophyll a concentration in turbid waters.

Authors:  Jun Chen
Journal:  Environ Monit Assess       Date:  2013-12-18       Impact factor: 2.513

3.  Bayesian model for matching the radiometric measurements of aerospace and field ocean color sensors.

Authors:  Mhd Suhyb Salama; Zhongbo Su
Journal:  Sensors (Basel)       Date:  2010-08-11       Impact factor: 3.576

4.  An instrument for in situ measuring the volume scattering function of water: design, calibration and primary experiments.

Authors:  Cai Li; Wenxi Cao; Jing Yu; Tiancun Ke; Guixin Lu; Yuezhong Yang; Chaoying Guo
Journal:  Sensors (Basel)       Date:  2012-04-10       Impact factor: 3.576

  4 in total

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