Bibliographic record
Abstract
Canada's first Earth observation satellite, RADARSAT-I was launched in a polar, sun-synchronous, dawn-dusk orbit by a Delta II rocket on November 4, 1995. The satellite carries a multi-mode C-band, HH polarization synthetic aperture radar (SAR) which provides choices in incidence angles (from less than 20/spl deg/ to more than 50/spl deg/), resolutions (from 10 m to 100 m), and swath widths (from 45 km to 500 km). The satellite is programmed and commanded through a S-band link from the Control Centre at the Canadian Space Agency (CSA) in St. Hubert, Quebec to acquire the SAR data in the required mode as per user requests and to dump at X-band the corresponding data to ground receiving stations. The satellite has global acquisition capability through the on-board tape recorders. User requests for new acquisitions or processing archived SAR data are entered into the RADARSAT system through order desks. The corresponding data or products are delivered to users by data processing facilities. The system has been commissioned through months of on-orbit testing of the satellite along with operational demonstrations. The operation phase began on 1 April 1996 and should last for 5 years, the designed lifetime of the satellite. During this phase, RADARSAT data will be supplied to users around the world for a variety of applications and the satellite will be turned from right looking to left looking orientation twice to map the Antarctic. An overview of the RADARSAT-I system and operation is presented along with examples of the imagery.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.010 |
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 source (direct Gemma or distilled Codex), 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".