Polarimetric C-Band Observations of Soil Moisture for Pasture Fields
Bibliographic record
Abstract
Soil moisture information is an important parameter in hydrological modelling, although providing reliable data is difficult due to its spatial variability and dynamic nature. The ability to estimate soil moisture from Synthetic Aperture Radar (SAR) has been the topic of numerous investigations. To date, most of these investigations have been limited to single or multiple linear polarized configurations. However, Radarsat-2 will be launched in 2004 and will have fully polarimetric C-Band SAR capability. In preparation for a new generation of spaceborne polarimetric SARs, Environment Canada's Convair 580 airborne polarimetric C-band SAR acquired data over an agricultural area west of Ottawa, Canada on September 22, 2000, April 26, 2001 and May 20, 2001. Coincident ground measurements (soil moisture, biomass, and surface roughness) were collected over pasture on all dates and bare fields in the spring of 2001. Analysis includes linear polarizations ( °HH, °VV, °HV), circular polarizations ( °RR, °RL, °LL), as well as fully polarimetric parameters such as pedestal height, total power, phase difference, and polarimetric signatures. This paper presents preliminary results of the September 22, 2002 data.
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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 | 0.000 |
| 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) | 0.004 | 0.001 |
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".