A Multi-Frequency Suite of Polarimetric Scatterometers for Arctic Remote Sensing
Bibliographic record
Abstract
We present a suite of polarimetric microwave scatterometers for Arctic remote sensing applications. The systems have been developed with L- (1.26 GHz), C- (5.5 GHz), and Ku- (17.2 GHz) band designs. The instruments were designed for near-surface operation and can be used to measure the normalized radar cross section in linear polarizations (VV, HH, and VH), as well as polarimetric parameters. The units use a frequency modulated continuous wave (FMCW) signal with pulse-to-pulse polarization switching. A mechanical positioner is used to orient the system to scan a region of interest. Herein, we describe the system technical parameters and the calibration routines. We provide sample data over a typical sea ice surface and describe system configurations. These systems are designed to provide multi-frequency polarimetric scattering data that can be analyzed for a wide variety of experiments in snow-covered sea ice and in Arctic oil spill studies.
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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 | 0.001 |
| 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) | 0.000 | 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".