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Record W2142518785 · doi:10.1109/igarss.2001.976200

Preparing for operational use of RADARSAT-2 data at the Canadian Ice Service

2002· article· en· W2142518785 on OpenAlexaffabout
Dean Flett, M. Manore, B. Ramsay, J. Falkingham

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSynthetic Aperture Radar (SAR) Applications and Techniques
Canadian institutionsCanadian Hydrographic Service
Fundersnot available
KeywordsService (business)Computer scienceSystems engineeringSpace (punctuation)Remote sensingEngineeringGeographyBusiness

Abstract

fetched live from OpenAlex

As one of the world's largest operational users of RADARSAT-1 data, the Canadian Ice Service (CIS) is looking forward to the future launch of RADARSAT-2. The RADARSAT-2 mission, including both the Space and Ground segments, promises several technical enhancements beyond RADARSAT-1, which should be beneficial to the CIS. Towards that end and to prepare for operational use of the data, the CIS has been working closely with the Canadian Space Agency (CSA) and MacDonald Detwiller (MDA), particularly on the Ground Segment, to ensure that the RADARSAT-2 system will best meet our operational needs. Additionally, the CIS is investigating the operational utility to be gained from some of the advanced capabilities of the SAR sensor, specifically the selective single-, dual-, and quad-polarization modes. In this paper we briefly examine, from an operational perspective, various elements and enhancements of the RADARSAT-2 Space and Ground segments, and issues concerning data usage to be addressed in order to maximize the operational utility of RADARSAT-2 data at the CIS.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.430
Threshold uncertainty score0.960

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)0.0000.000

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 head0.060
GPT teacher head0.246
Teacher spread0.186 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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

Citations4
Published2002
Admission routes2
Has abstractyes

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