Biogeosciences
Biogeosciences
BG
Articles | Volume 15, issue 13
Articles | Volume 15, issue 13
https://doi.org/10.5194/bg-15-4065-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-15-4065-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 13
Research article
 | 
04 Jul 2018
Research article |  | 04 Jul 2018

An estuarine-tuned quasi-analytical algorithm (QAA-V): assessment and application to satellite estimates of SPM in Galveston Bay following Hurricane Harvey

Ishan D. Joshi and Eurico J. D'Sa

Viewed

Total article views: 3,959 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,785 1,079 95 3,959 408 93 133
  • HTML: 2,785
  • PDF: 1,079
  • XML: 95
  • Total: 3,959
  • Supplement: 408
  • BibTeX: 93
  • EndNote: 133
Views and downloads (calculated since 10 Apr 2018)
Cumulative views and downloads (calculated since 10 Apr 2018)

Viewed (geographical distribution)

Total article views: 3,959 (including HTML, PDF, and XML) Thereof 3,770 with geography defined and 189 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Nov 2025
Download
Short summary
The standard quasi-analytical algorithm (QAA) was tuned for various ocean color sensors as QAA-V and optimized for and evaluated in a variety of waters from highly absorbing and turbid to relatively clear shelf waters. The QAA-V-derived optical properties of total absorption and backscattering coefficients showed an obvious improvement when compared to the standard QAA and were used to examine suspended particulate matter dynamics in Galveston Bay following flooding due to Hurricane Harvey.
Read more
Share
Altmetrics
Final-revised paper
Preprint