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Record W2120429645 · doi:10.1080/01431160600821010

Validation of chlorophyll fluorescence derived from MERIS on the west coast of Canada

2007· article· en· W2120429645 on OpenAlexafffundabout
J.F.R. Gower, Stephanie King

Bibliographic record

VenueInternational Journal of Remote Sensing · 2007
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsFisheries and Oceans Canada
FundersUniversity of WashingtonCanadian Space AgencyNational Oceanic and Atmospheric AdministrationUniversity of British ColumbiaFisheries and Oceans CanadaSan Francisco State University
KeywordsRadianceRemote sensingEnvironmental scienceChlorophyll aBuoySatelliteChlorophyllChlorophyll fluorescenceAbsorption (acoustics)FluorescenceAtmosphere (unit)ChemistryGeologyPhysicsMeteorologyOceanographyOpticsAstronomy

Abstract

fetched live from OpenAlex

MERIS on Envisat provides images of above‐atmosphere spectral radiance in 15 bands of the baseline spectral band‐set. This set includes three bands centered at 665, 681 and 709 nm, placed to measure the fluorescence emission from chlorophyll a in marine and fresh water phytoplankton at 685 nm, stimulated by ambient sun and sky light. We compare the observed fluorescence signal levels with measurements of extracted chlorophyll from research cruises and buoy data during 2002 and 2003, and with satellite estimates of chlorophyll from the blue to green ratio observed by MERIS. We present an average relation between fluorescence and surface chlorophyll concentration based on a simple model accounting for absorption of stimulating and emitted radiation by chlorophyll pigments, which gives a first‐order fit to the observations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.205
Teacher spread0.194 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations63
Published2007
Admission routes3
Has abstractyes

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