World Library  


Add to Book Shelf
Flag as Inappropriate
Email this Book

Improvements to the Phytodoas Method for Identification of Major Phytoplankton Groups Using Hyper-spectral Satellite Data : Volume 8, Issue 6 (23/11/2011)

By Sadeghi, A.

Click here to view

Book Id: WPLBN0003972788
Format Type: PDF Article :
File Size: Pages 41
Reproduction Date: 2015

Title: Improvements to the Phytodoas Method for Identification of Major Phytoplankton Groups Using Hyper-spectral Satellite Data : Volume 8, Issue 6 (23/11/2011)  
Author: Sadeghi, A.
Volume: Vol. 8, Issue 6
Language: English
Subject: Science, Ocean, Science
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2011
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Dinter, T., Taylor, B., Bracher, A., Vountas, M., Peeken, I., & Sadeghi, A. (2011). Improvements to the Phytodoas Method for Identification of Major Phytoplankton Groups Using Hyper-spectral Satellite Data : Volume 8, Issue 6 (23/11/2011). Retrieved from http://worldlibrary.net/


Description
Description: Institute of Environmental Physics, University of Bremen, Bremen, Germany. The goal of this study was to improve PhytoDOAS, which is a new retrieval method for quantitative identification of major Phytoplankton Functional Types (PFTs) using hyper-spectral satellite data. PhytoDOAS is an extension of the Differential Optical Absorption Spectroscopy (DOAS, a method for detection of atmospheric trace gases), developed for remote identification of oceanic phytoplankton groups. Thus far, PhytoDOAS has been successfully exploited to identify cyanobacteria and diatoms over the global ocean from SCIAMACHY (SCanning Imaging Absorption spectroMeter for Atmospheric CartograpHY) hyper-spectral data. The main challenge for retrieving more PFTs by PhytoDOAS is to overcome the correlation effects between different PFTs' absorption spectra. Different PFTs are composed of different types and amounts of pigments, but also have pigments in common, e.g., chl-a, causing correlation effects in the usual performance of the PhytoDOAS retrieval. Two ideas have been implemented to improve PhytoDOAS for the PFT retrieval of more phytoplankton groups. Firstly, using the fourth-derivative spectroscopy, the peak positions of the main pigment components in each absorption spectrum have been derived. After comparing the corresponding results of major PFTs, the optimized fit-window for the PhytoDOAS retrieval of each PFT was determined. Secondly, based on the results from derivative spectroscopy, simultaneous fit of PhytoDOAS has been proposed and tested for a selected set of PFTs (coccolithophores, diatoms and dinoflagllates) within an optimized fit-window. The method was then applied to the processing of SCIAMACHY data over the year 2005. Comparisons of the PhytoDOAS PFT retrievals in 2005 with the modeled PFT data from the NASA Ocean Biochemical Model (NOBM) showed similar patterns in their seasonal distributions for diatoms and coccolithophores, especially in the northern parts of the global ocean. The seasonal patterns of the PhytoDOAS coccolithophores indicated very good agreement with the global distributions of Particulate Inorganic Carbon (PIC) provided by MODIS (MODerate resolution Imaging Spectroradiometer)-Aqua level-3 products. Since PIC is known as a proxy for the abundance of coccolithophores (in open ocean), the latter agreement indicates the basic functionality of the method in retrieving coccolithophores. Moreover, as a case study, the simultaneous mode of PhytoDOAS has been applied to SCIAMACHY data for detecting a coccolithophore bloom around New Zealand (reported by NASA from MODIS imagery in December 2009); the result was quite consistent with the MODIS RGB image and the MODIS PIC map of the bloom, indicating the functionality of the method in short-term retrievals.

Summary
Improvements to the PhytoDOAS method for identification of major phytoplankton groups using hyper-spectral satellite data

Excerpt
Aguirre-Gomez, R., Weeks, A. R., and Boxall, S. R.: The identication of phytoplankton pigments from absorption spectra, Int. J. Remote Sens., 22(2), 315–338, 2001.; Aiken, J., Fishwick, J. R., Lavender, S. J., Barlow, R., Moore, G., and Sessions, H.: Validation of MERIS reflectance and chlorophyll during the BENCAL cruise October 2002: preliminary validation of new products for phytoplankton functional types and photosynthetic parameters, Int. J. Remote Sens., 28, 497–516, 2007.; Aiken, J., Hardman-Mountford, N. J., Barlow, R., Fishwick, J., Hirata, T., and Smyth, T.: Functional links between bioenergetics and bio-optical traits of phytoplankton taxonomic groups: an overarching hypothesis with applications for ocean colour remote sensing, J. Plankton Res., 30, 165–181, 2008.; Allali, K., Bricaud, A., Babin, M., Morel, A., and Chang, P.: A new method for measuring spectral absorption coefficients of marine particles, Limnol. Oceanogr., 40, 1526–1532, 1995.; Alvain, S., Moulin, C., Dandonneau, Y., and Brèona, F. M.: Remote sensing of phytoplankton groups in case 1 waters from global SeaWiFS imagery, Deep-Sea Res. Pt. I, 52, 1989–2004, 2005.; Bartlett, J., Voss, K., Sathyendranath, S., and Vodacek, A.: Raman scattering by pure water and seawater, Appl. Opt., 37, 3324–3332, doi:10.1364/AO.37.003324, 1998.; Alvain, S., Moulin, C., Dandonneau, Y., and Loisel, H.: Seasonal distribution and succession of dominant phytoplankton groups in the global ocean: A satellite view, Global Biogeochemical Cycles, 22, GB3001, ISSN 0886-6236, doi:10.1029/2007GB003154, 2008.; Arrigo, K. R., Robinson, D. H., Worthen, D. L., Schieber, B., and Lizotte M. P.: Bio-optical properties of the South-Western Ross Sea, J. Geophys. Res., 103, 21683–21695, 1998.; Balch, W. M., Gordon, H. R., Bowler, B. C., Drapeau, D. T., and Booth, E. S.: Calcium carbonate measurements in the surface global ocean based on moderate-resolution imaging spectroradiometer data, J. Geophys. Res., 110, C07001, doi:10.1029/2004JC002560, 2005.; Bovensmann, H., Burrows, J. P., Buchwitz, M., Frerick, J., Nöel, S., Rozanov, V. V., Chance, K. V., and Goede, A. P. H.: SCIAMACHY – mission objectives and measurement modes, J. Atmos. Sci., 56(2), 127–150, 1999.; Bracher, A., Vountas, M., Dinter, T., Burrows, J. P., Röttgers, R., and Peeken, I.: Quantitative observation of cyanobacteria and diatoms from space using PhytoDOAS on SCIAMACHY data, Biogeosciences, 6, 751–764, doi:10.5194/bg-6-751-2009, 2009.; Bricaud, A., Morel, A., and Prieur, L.: Absorption by dissolved organic matter of the sea (yellow substance) in the UV and visible domains, Limnol. Oceanogr., 26, 43–53, 1981.; Bricaud, A., Babin, M., Morel, A., and Claustre, H.: Variability in the chlorophyll-specific absorption coefficients of natural phytoplankton: analysis and parameterization, J. Geophys. Res., 100(13), 321–332, 1995.; Burrows, J. P., Vountas, M., Rozanov, V., Richter, A., Platt U., Haug, H., Marquard, L., and Chance, K.: Study of the Ring effect, Technical Report, ESA Study No. 10996/94/NL/CN, SERCO, 1996.; Bussemer, M.: Der Ring-Effekt: Ursachen und Einfluss auf die spektroskopische Messung stratos

 

Click To View

Additional Books


  • Modeling the Nd Isotopic Composition in ... (by )
  • Impact of Currents on Surface Flux Compu... (by )
  • Phytoplankton Blooms on the Western Shel... (by )
  • Remote Detection of Water Property Chang... (by )
  • Southern Ocean Overturning Across Stream... (by )
  • Improved Near Real Time Surface Wind Res... (by )
  • Seasonal Renewal Time Variability in the... (by )
  • The Low-resolution Ccsm2 Revisited: New ... (by )
  • Impact of Hydrographic Data Assimilation... (by )
  • A Study of the Hydrographic Conditions i... (by )
  • Optimal Adjustment of the Atmospheric Fo... (by )
  • Fine-scale Features on the Sea Surface i... (by )
Scroll Left
Scroll Right

 



Copyright © World Library Foundation. All rights reserved. eBooks from World Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.