96
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Estimations of Secchi depth from the turbid Eastern China Coastal Seas using MODIS data

Pages 3209-3226 | Received 13 Sep 2022, Accepted 15 May 2023, Published online: 07 Jun 2023

References

  • Arakawa, H., M. Inada, S. Choi, and M. Narita. 2013. “Shift in Apparent Contrast of Disc at Secchi Disc Depth in Coastal Sea Areas.” Environmental Monitoring and Assessment 185 (3): 2307–2313. doi:10.1007/s10661-012-2710-1.
  • Bailey, S. W., and P. J. Werdell. 2006. “A Multi-Sensor Approach for the On-Orbit Validation of Ocean Color Satellite Data Products.” Remote Sensing of Environment 102 (1–2): 12–23. doi:10.1016/j.rse.2006.01.015.
  • Bi, N., Z. Yang, H. Wang, D. Fan, X. Sun, and K. Lei. 2011. “Seasonal Variation of Suspended-Sediment Transport Through the Southern Bohai Strait.” Estuarine, Coastal and Shelf Science 93 (3): 239–247. doi:10.1016/j.ecss.2011.03.007.
  • Boyce, D. G., M. R. Lewis, and B. Worm. 2010. “Global Phytoplankton Decline Over the Past Century.” Nature 466 (7306): 591–596. doi:10.1038/nature09268.
  • Brajard, J., R. Santer, M. Crépon, and S. Thiria. 2012. “Atmospheric Correction of MERIS Data for Case-2 Waters Using a Neuro-Variational Inversion.” Remote Sensing of Environment 126: 51–61. doi:10.1016/j.rse.2012.07.004.
  • Buiteveld, H. 1995. “A Model for Calculation of Diffuse Light Atteunation (PAR) and Secchi Depth.” Netherlands Journal of Aquatic Ecology 29 (1): 55–56. doi:10.1007/BF02061789.
  • Carder, K. L., F. R. Chen, Z. P. Lee, S. K. Hawes, J. P. Cannizzaro. 2003. “MODIS Ocean Science Team Algorithm Theoretical Basis Document ATBD 19 Case 2 Chlorophyll a, Version 7. 30.” College of Marine Science, University of South Florida .
  • Ceyhun, Ö., and A. Yalçın. 2010. “Remote Sensing of Water Depths in Shallow Waters via Artificial Neural Networks.” Estuarine, Coastal and Shelf Science 89 (1): 89–96. doi:10.1016/j.ecss.2010.05.015.
  • Chen, J., T. W. Cui, J. Ishizaka, and C. S. Lin. 2014. “A Neural Network Model for Remote Sensing of Diffuse Attenuation Coefficient in Global Oceanic and Coastal Waters: Exemplifying the Applicability of the Model to the Coastal Regions in Eastern China Seas.” Remote Sensing of Environment 148: 168–177. doi:10.1016/j.rse.2014.02.019.
  • Chen, J., T. W. Cui, and C. S. Lin. 2013. “An Operational Model for Filling the Black Strips of the MODIS 1640 Band and Application to Atmospheric Correction.” Journal of Geophysical Research-Ocean 118 (11): 6006–6016. doi:10.1002/2013JC009349.
  • Chen, J., T. W. Cui, Z. F. Qiu, and C. S. Lin. 2014. “A Split-Window Model for Deriving Total Suspended Sediment Matter from MODIS Data in the Bohai Sea.” IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing 7 (6): 2611–2618. doi:10.1109/JSTARS.2013.2297692.
  • Chen, J., Q. J. Han, Y. L. Chen, and Y. D. Li. 2019. “A Secchi Depth Algorithm Considering the Residual Error in Satellite Remote Sensing Reflectance Data.” Remote Sensing 16 (16): 1948. doi:10.3390/rs11161948.
  • Chen, Z. Q., F. E. Muller-Karger, and C. M. Hu. 2007. “Remote Sensing of Water Clarity in Tampa Bay.” Remote Sensing of Environment 109 (2): 249–259. doi:10.1016/j.rse.2007.01.002.
  • Chen, J., and W. T. Quan. 2013. “An Improved Algorithm for Retrieving Chlorophyll-A from the Yellow River Estuary Using MODIS Imagery.” Environmental Monitoring and Assessment 185 (3): 2243–2255. doi:10.1007/s10661-012-2705-y.
  • Chen, J., W. T. Quan, T. W. Cui, Q. J. Song, and C. S. Lin. 2014. “Remote Sensing of Absorption and Scattering Coefficient Using Neural Network Model: Development, Validation, and Application.” Remote Sensing of Environment 149: 213–226. doi:10.1016/j.rse.2014.04.013.
  • Cialdi, M., and P. A. Secchi. 1865. “Sur la transparence de la mer.” Comptes Rendus Hebdomaidaires Des Seances I’Acadamie Des Sciences 1865: 100–104.
  • Cui, T., J. Zhang, S. Groom, L. Sun, T. Smyth, and S. Sathyendranath. 2010. “Validation of MERIS Ocean-Color Products in the Bohai Sea: A Case Study for Turbid Coastal Waters.” Remote Sensing of Environment 114 (10): 2326–2336. doi:10.1016/j.rse.2010.05.009.
  • Devlin, M. J., J. Barry, D. K. Mills, R. J. Gowen, J. Foden, D. Sivyer, and P. Tett. 2008. “Relaitonships Between Suspended Particulate Material, Light Atteunation and Secchi Depth in UK Marine Waters.” Estuarine, Coastal and Shelf Science 79 (3): 429–439. doi:10.1016/j.ecss.2008.04.024.
  • Doron, M., M. Babin, O. Hembise, A. Mangin, and P. Garnesson. 2011. “Ocean Transparency from Space: Validation of Algorithms Estimating Secchi Depth Using MERIS, MODIS and SeaWifs.” Remote Sensing of Environment 115 (12): 2986–3001. doi:10.1016/j.rse.2011.05.019.
  • Giardino, C., M. Pepe, P. A. Brivio, P. Ghezzi, and E. Zilioli. 2001. “Detecting Chlorophyll. Secchi Disk Depth and Surface Temperature in a Sub-Alpine Lake Using Landsat Imagery.” The Science of the Total Environment 268 (1–3): 19–29. doi:10.1016/S0048-9697(00)00692-6.
  • González Vilas, L., E. Spyrakos, and J. M. Torres Palenzuela. 2011. “Neural Network Estimation of Chlorophyll a from MERIS Full Resolution Data for the Coastal Waters of Galician Rias (NW Spain).” Remote Sensing of Environment 115 (2): 524–535. doi:10.1016/j.rse.2010.09.021.
  • Gordon, H. R., O. B. Brown, R. H. Evans, J. W. Brown, R. C. Smith, and K. S. Baker. 1988. “A Semianalytic Radiance Model of Ocean Color.” Journal of Geophysical Research 93 (D9): 10909–10924. doi:10.1029/JD093iD09p10909.
  • Gordon, H. R., and K. J. Voss 1999. MODIS Normalized Water-Leaving Radiance Algorithm Theoretical Basis Document. NASA Technic Document. Under Contract Number NAS5-31363, Version 4
  • Gross, L., S. Thiria, and R. Frouin. 1999. “Applying Artificial Neural Network Methodology to Ocean Color Remote Sensing.” Ecological Modelling 120 (2–3): 237–246. doi:10.1016/S0304-3800(99)00105-2.
  • Hakanson, L. 1995. “Models to Predict Secchi Depth in Small Glacial Lakes.” Aquatic Sciences 57 (1): 31–52. doi:10.1007/BF00878025.
  • Hakanson, L. 2006. “The Relationship Between Salinity, Suspended Particulate Matter and Water Clarity in Aquatic Systems.” Ecological Research 21 (1): 75–90. doi:10.1007/s11284-005-0098-x.
  • Harrington, J. A., and F. R. Schiebe. 1992. “Remote Sensing of Lake Chicot, Arkansas: Monitoring Suspended Sediments, Turbidity, and Secchi Depth with Landsat MSS Data.” Remote Sensing of Environment 29 (1): 15–27. doi:10.1016/0034-4257(92)90137-9.
  • Hu, C. H., Z. W. Ji, and T. Wang. 1998. “Dynamic Characteristics of Sea Currents and Sediment Dispersion in the Yellow RIver Estuary.” International Journal of Sediment Research 13 (2): 20–30.
  • Ioannou, I., A. Gilerson, B. Gross, F. Moshary, and S. Ahmed. 2013. “Deriving Ocean Color Products Using Neural Networks.” Remote Sensing of Environment 134: 78–91. doi:10.1016/j.rse.2013.02.015.
  • Jamet, C., H. Loisel, and D. Dessailly. 2012. “Retrieval of the Spectral Diffuse Attenuation Coefficient K D (λ) in Open and Coastal Ocean Waters Using a Neural Network Inversion.” Journal of Geophysical Research 117 (C10): C10023. doi:10.1029/2012JC008076.
  • Kratzer, S., B. Hakansson, and C. Sahlin. 2003. “Assessing Secchi and Photic Zone Depth in the Baltic Sea from Satelltie Data.” Ambio 32 (8): 577–585. doi:10.1579/0044-7447-32.8.577.
  • Lee, Z. P., K. L. Carder, and R. A. Arnone. 2002. “Deriving Inherent Optical Properties from Water Color: A Multi-Band Quasi-Analytical Algorithm for Optically Deep Waters.” Applied Optics 41 (27): 5755–5772. doi:10.1364/AO.41.005755.
  • Lee, Z., C. Hu, S. Shang, K. Du, M. Lewis, R. Arnone, and R. Brewin. 2013. “Penetration of UV-Visible Solar Radiation in the Global Oceans: Insights from Ocean Color Remote Sensing.” Journal of Geophysical Research: Oceans 118 (9): 4241–4255. doi:10.1002/jgrc.20308.
  • Li, Y., A.-C. Li, P. Huang, F.-J. Xu, and X.-F. Zheng. 2014. “Clay Minerals in Surface Sediment of the North Yellow Sea and Their Implication to Provenance and Transportation.” Continental Shelf Research 90: 33–40. doi:10.1016/j.csr.2014.1001.1020.
  • Mao, Z., J. Chen, D. Pan, B. Tao, and Q. Zhu. 2012. “A Regional Remote Sensing Algorithm for Total Suspended Matter in the East China Sea.” Remote Sensing of Environment 124: 819–831. doi:10.1016/j.rse.2012.06.014.
  • McCullough, I. M., C. S. Loftin, and S. A. Sader. 2012. “Combining Lake and Watershed Characteristics with Landsat TM Data for Remote Estimation of Regional Lake Clarity.” Remote Sensing of Environment 123: 109–115. doi:10.1016/j.rse.2012.03.006.
  • Mobley, C. D. 1994. Light and Water: Radiative Transfer in Natural Waters. New York: Academic Press.
  • Morel, A., and L. Prieur. 1977. “Analysis of Variances in Ocean Color.” Limnology & Oceanography 22 (4): 709–722. doi:10.4319/lo.1977.22.4.0709.
  • Mueller, J. L., C. O. Davis, R. A. Arnone, R. Frouin, K. L. Carder, Z. P. Lee, R. G. Steward, S. Hooker, C. D. Mobley, and C. R. McClain. 2003. “Above-Water Radiance and Remote Sensing Measurement and Analysis Protocols. Ocean Optics Protocols for Satellite Ocean-Color Sensor Validation, Revision 4, Vol. III: Radiometric Measurements and Data Analysis Protocols.” NASA Technologies Memo .
  • Olmanson, L. G., M. E. Bauer, and P. L. Brezonik. 2008. “A 20-Year Landsat Water Clarity Census of Minnesota’s 10,000 Lakes.” Remote Sensing of Environment 112 (11): 4086–4097. doi:10.1016/j.rse.2007.12.013.
  • O’Reilly, J. E., S. Maritorena, B. G. Mitchell, D. A. Siegcl, K. L. Carder, and S. A. Garver. 1998. “Ocean Color Chlorophyll Algorithms for SeaWifs.” Journal of Geophysical Research 103 (11): 937–953. doi:10.1029/98JC02160.
  • Parvinnia, E., M. R. Moosavi, M. Z. Jahromi, and K. Ziarati. 2011. “Overfit Prevention in Adaptive Weighted Distance Nearest Neighbor.” Procedia computer science 3: 1256–1261. doi:10.1016/j.procs.2011.01.001.
  • Prasad, K. S., R. L. Bernstein, M. Kahru, and B. G. Mitchell. 1998. “Ocean Color Algorithms for Estimating Water Clarity (Secchi Depth) from SeaWifs.” Journal of Advanced Marine Science and Technology Society 4 (2): 301–306.
  • Shi, Y. L., W. Yang, and M. E. Ren. 1985. “Hydrological Characteristics of the Changjiang and Its Relation to Sediment Transport to the Sea.” Contiental Shelf Research 4 (1–2): 5–15. doi:10.1016/0278-4343(85)90018-4.
  • van der Merwe, R., T. K. Leen, Z. Lu, S. Frolov, and A. M. Baptista. 2007. “Fast Neural Network Surrogates for Very High Dimensional Physics-Based Models in Computational Oceanography.” Neural Networks 20 (4): 462–478. doi:10.1016/j.neunet.2007.04.023.
  • Wang, H. J., A. M. Wang, N. S. Bi, X. M. Zeng, and H. H. Xiao. 2014. “Seasonal Distribution of Suspended Sediment in the Bohai Sea, China.” Continental Shelf Research 90: 17–32. doi:10.1016/j.csr.2014.1003.1006.
  • Yamaguchi, H., J. Ishizaka, E. Siswanto, Y. Baek Son, S. Yoo, and Y. Kiyomoto. 2013. “Seasonal and Spring Interannual Variations in Satellite-Observed Chlorophyll-A in the Yellow and East China Seas: New Datasets with Reduced Interference from High Concentration of Resuspended Sediment.” Continental Shelf Research 59: 1–9. doi:10.1016/j.csr.2013.03.009.
  • Zhang, Y. L., X. H. Liu, Y. Yin, M. Z. Wang, and B. Q. Qin. 2012. “Predicting the Light Atteunation Coefficient Through Secchi Disk Depth and Beam Atteunation Coefficient in a Large, Shallow, Freshwater Lake.” Hydrobiologia 693 (1): 29–37. doi:10.1007/s10750-012-1084-2.
  • Zhang, M. W., J. W. Tang, Q. Dong, and Q. T. Song. 2010. “Retrieval of Total Suspended Matter Concentration in the Yellow and East China Seas from MODIS Imagery.” Remote Sensing of Environment 114 (2): 392–403. doi:10.1016/j.rse.2009.09.016.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.