Analysis of Radarsat Constellation Mission Compact Polarimetric Data for Crop Monitoring
Bibliographic record
Abstract
The compact polarimetric (CP) product of RADARSAT Constellation Mission (RCM) launched by the Canadian Space Agency (CSA) has wide swath and high temporal resolution which helps in continuous agriculture monitoring. Here, we evaluated the potential of RCM CP SAR product in ScanSAR mode to monitor different crops during the phenological cycle. For this study, we have selected the agriculture fields belonging to Agriculture and Agri-Food Canada (AAFC), Lennoxville, Quebec, Canada. We derived various CP parameters such as Stokes parameters, m-chi decomposition, CP Radar Vegetation Index (CpRVI), degree of polarization (DoP), conformity etc., from the RCM CP data. We analyzed their capabilities for crop monitoring with the help of in-situ measurements collected during the intensive field campaign conducted in summer 2022 and 2023. The results are analyzed considering strong effects of incidence angle on the CP parameters during the phenological cycle.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 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".