Validating Remote Sensing Data Along S-199 Cruise Track Using In Situ Chlorophyll, Carbon and Irradiance Measurements

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Abstract/Contents

Abstract: Remote sensing imagery is a potentially powerful tool for understanding global-scale ocean processes. Recent advances have enabled remote sensing imagery to estimate chlorophyll concentration in ocean waters and this has been used as a proxy for primary production. It is important to establish the exact relationships between satellite data and in-situ measurements to verify the accuracy of these assumptions. This study tested the hypotheses that remote sensing derived chlorophyll values would be more accurate in eutrophic waters than oligotrophic waters and that the remote sensing imagery would fail to accurately estimate standing stock of carbon. Our data show that remote sensing imagery can be used as an accurate proxy for in-situ chlorophyll measurements both at the surface and at depth. This is possible due to the high correlation between surface chlorophyll values and the depth of the chlorophyll maximum as well as the total integrated chlorophyll. Additionally, the satellite data is more accurate in oligotrophic waters than eutrophic waters. However, analysis of in-situ particulate organic carbon values yielded chlorophyll to carbon ratios that varied by depth and by latitude. This fact casts doubt on the estimation of standing stock of carbon biomass and subsequently primary production by remote sensing.

Type of resource	text
Date created	June 9, 2005

Subject	Stanford@SEA
Subject	S-199
Subject	Hopkins Marine Station
Subject	Department of Biology
Subject	Department of Earth System Science
Subject	BIOHOPK 182H
Subject	BIOHOPK 323H
Subject	EARTHSYS 323
Subject	ESS 323
Subject	remote sensing
Subject	chlorophyll
Subject	primary production
Subject	satellite
Subject	eutrophic
Subject	oligotrophic
Subject	standing shock
Subject	carbon
Genre	Student project report

Location	https://purl.stanford.edu/ns197jk3080

Use and reproduction: User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
License: This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).

Preferred Citation: Bushinsky, Seth; Puryear, Okurie; Yang, Simon. 2005. Validating Remote Sensing Data Along S-199 Cruise Track Using In Situ Chlorophyll, Carbon and Irradiance Measurements. Unpublished Student Work, S-199, Stanford@SEA, Stanford Digital Repository. https://purl.stanford.edu/ns197jk3080.

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