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Record W2155462074 · doi:10.1109/igarss.2004.1369867

Temporal analysis of RADARSAT-1 imagery from Delaware Bay

2004· article· en· W2155462074 on OpenAlexfundno aff
T.F. Donato, Ana Eguiluz, Richard W. Garvine, Xiao‐Hai Yan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOcean Waves and Remote Sensing
Canadian institutionsnot available
FundersCanadian Space AgencyCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorNational Aeronautics and Space Administration
KeywordsBayRemote sensingMode (computer interface)Synthetic aperture radarGeologyOceanographyEnvironmental scienceClimatologyMeteorologyGeographyComputer science

Abstract

fetched live from OpenAlex

The objective of this study is to identify, catalog, and relate surface phenomena observed in SAR imagery of the Delaware Bay with concurrent environmental conditions (tides, winds, currents, river discharge, etc). To accomplish this objective, we examined a sequence of RADARSAT-1 SAR containing approximately 176 standard mode scenes collected over the Delaware Bay and adjacent coastal waters between May 1997 and February 2004. In this paper we report on 58 standard mode-2 scenes collected during ascending orbits. Unique to this RADARSAT image time sequence is the contemporaneous set of in situ meteorological and oceanographic observations that were collected from shipboard platforms and fixed stations throughout the Delaware Bay during the image acquisition period.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.009
GPT teacher head0.198
Teacher spread0.188 · 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 teacher head, not a consensus.

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

Citations2
Published2004
Admission routes1
Has abstractyes

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