RADARSAT-1 mission planning: Meeting customer needs over 5 years of evolving operations
Bibliographic record
Abstract
AbstractThe RADARSAT-1 Mission Management Office (MMO) has been planning and scheduling the SAR payload, ground reception, and processing facilities that supply the World's synthetic aperture radar (SAR) user community with timely RADARSAT-1 data since 1995. The goal of the MMO is to provide users with timely, high-quality data in a manner continuously being refined to meet changing needs. As the RADARSAT-1 client base and network of stations expanded, the demand for data increased, new applications were found, and new requirements were outlined. Over 5 years the number of ground stations grew from three reception facilities (two in Canada, and one in the United States) to 16 worldwide. To support new facilities, higher data demands, and new data applications, the MMO system required changes to support time-critical information transfer between facilities and improve data delivery timelines and image quality. This paper has two main purposes: describe the current RADARSAT-1 acquisition planning operations system, and summarize the operational improvements made over the last 5 years with the focus being how changes affected SAR users.Depuis 1995, le Bureau de gestion de la mission RADARSAT-1 (BGM) est responsable de la planification et de la gestion de la charge utile du RSO, de la réception des données au sol et des équipements de traitement qui permettent de fournir aux utilisateurs RSO au plan international des données RADARSAT-1 dans des délais opportuns. L'objectif du BGM est de fournir aux utilisateurs des données de haute qualité et en temps opportun et de fournir ces données de façon toujours plus raffinée en fonction des besoins changeants. Parallèlement à l'expansion de la base de clients et du réseau de stations de RADARSAT-1, la demande de données a augmenté, de nouvelles applications ont été développées et de nouveaux besoins se sont manifestés. Au cours d'une période de cinq ans, le nombre de stations terrestres est passé de trois stations de réception (deux au Canada, une aux États-Unis) à seize stations à travers le monde. Pour assurer la gestion de ces nouvelles installations, des besoins croissants en données et des nouvelles applications développées pour ces données, le système du BGM a dû opérer des changements pour favoriser le transfert en temps critique d'information entre les installations et pour améliorer la vitesse de livraison des données et la qualité des images. Cet article a deux objectifs principaux, premièrement, de présenter une description du système de planification des opérations d'acquisition de RADARSAT-1 et, deuxièmement, d'effectuer un survol des améliorations opérationnelles apportées au cours des cinq dernières années particulièrement en ce qui a trait à l'impact de ces changements sur les utilisateurs RSO.[Traduit par la Rédaction]
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".