skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Optical signature utilization of remote sensing of nearshore waters

Abstract

Existing satellite sensors lack the spectral capabilities to discriminate phytoplankton pigments in water bodies. New satellite sensors (EOS planned for 1998 and SeaWIFS forthcoming) with narrow bandwidths can provide detailed spectral resolution necessary to distinguish optical properties of nearshore waters provided calibrated seatruth data are available. This will facilitate utility of spaceborne water color sensors for discrimination of bloom forming phytoplankton species and support oceanographic/coastal zone remote sensing missions of NASA, Navy and other agencies. The objective of the research was to develop a library of absorption spectra for the most common phytoplankton found locally within the Hudson/Raritan Estuary. Both culture grown and field samples of phytoplankton were concentrated and analyzed using standard techniques. Chlorophyll-a and phaeopigment concentrations were determined based on spectrometric analysis, producing characteristic absorption spectra. To further refine and discriminate pigment compositions which affect remote color sensing recorded by sensors, spectral derivative and polynomial regression analysis were applied to the absorption spectra. Using these models, it was possible to identify optimum wavelengths characterizing pigment compositions of phytoplankton species in the estuary. Future work will integrate the spectral library into GenIsis--hyperspectral image processing to establish correlation with remotely sensed data.

Authors:
; ;  [1]
  1. New Jersey Institute of Technology, Newark, NJ (United States); and others
Publication Date:
OSTI Identifier:
508174
Report Number(s):
CONF-960384-
TRN: 97:002803-0003
Resource Type:
Conference
Resource Relation:
Conference: Nomadic computing and communications conference: creating a new era in mobile communications, San Jose, CA (United States), 13-15 Mar 1996; Other Information: PBD: 1997; Related Information: Is Part Of Proceedings of the fourth international conference on remote sensing for marine and coastal environments. Technology and applications: Volume II; PB: 671 p.
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; PHYTOPLANKTON; ABSORPTION SPECTRA; PIGMENTS; WAVELENGTHS; HUDSON RIVER; ESTUARIES; COLOR

Citation Formats

Bagheri, S, Dios, R A, and Pan, Zhengxiang. Optical signature utilization of remote sensing of nearshore waters. United States: N. p., 1997. Web.
Bagheri, S, Dios, R A, & Pan, Zhengxiang. Optical signature utilization of remote sensing of nearshore waters. United States.
Bagheri, S, Dios, R A, and Pan, Zhengxiang. 1997. "Optical signature utilization of remote sensing of nearshore waters". United States.
@article{osti_508174,
title = {Optical signature utilization of remote sensing of nearshore waters},
author = {Bagheri, S and Dios, R A and Pan, Zhengxiang},
abstractNote = {Existing satellite sensors lack the spectral capabilities to discriminate phytoplankton pigments in water bodies. New satellite sensors (EOS planned for 1998 and SeaWIFS forthcoming) with narrow bandwidths can provide detailed spectral resolution necessary to distinguish optical properties of nearshore waters provided calibrated seatruth data are available. This will facilitate utility of spaceborne water color sensors for discrimination of bloom forming phytoplankton species and support oceanographic/coastal zone remote sensing missions of NASA, Navy and other agencies. The objective of the research was to develop a library of absorption spectra for the most common phytoplankton found locally within the Hudson/Raritan Estuary. Both culture grown and field samples of phytoplankton were concentrated and analyzed using standard techniques. Chlorophyll-a and phaeopigment concentrations were determined based on spectrometric analysis, producing characteristic absorption spectra. To further refine and discriminate pigment compositions which affect remote color sensing recorded by sensors, spectral derivative and polynomial regression analysis were applied to the absorption spectra. Using these models, it was possible to identify optimum wavelengths characterizing pigment compositions of phytoplankton species in the estuary. Future work will integrate the spectral library into GenIsis--hyperspectral image processing to establish correlation with remotely sensed data.},
doi = {},
url = {https://www.osti.gov/biblio/508174}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Aug 01 00:00:00 EDT 1997},
month = {Fri Aug 01 00:00:00 EDT 1997}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share: