Characterization of canopy physiology at BOREAS with SAR
Bibliographic record
Abstract
The Boreal Ecosystem-Atmosphere Study (BOREAS) is a multidisciplinary field and remote sensing study the goal of which is to obtain an improved understanding of the interactions between the boreal forest biome and the atmosphere in order to clarify their roles in global change. The two principal BOREAS field sites, both located within Canada, are located in the southern boreal ecotone, encompassing Prince Albert National Park, Saskatchewan, and in the northern boreal ecotone near Thompson, Manitoba. This paper presents research carried out as part of BOREAS to characterize forest ecophysiological processes as observed by the JPL AIRSAR, SIR-C/X-SAR and the ERS-1 SAR. The authors have installed automated measurement systems in four different forest stands within the BOREAS field sites. The three stands instrumented in the southern region are dominated by trembling aspen (Populus tremuloides), black spruce (Picea mariana), and jack pine (Pinus banksiana), respectively, while the one stand in the northern region is dominated by black spruce. These stands have each been instrumented with sensors that provide continuous in situ monitoring of tree xylem water flux and vegetation tissue and soil temperatures. Since their installation in the autumn of 1993 and winter of 1994, these sensors have provided a continuous record of vegetation hydrologic activity. In addition, since April 1994, three of these stands have been instrumented for continuous monitoring of dielectric constant within the hydroactive tissue of a single tree trunk. During the 1994 Spring Thaw Focused Field Campaign, the authors obtained additional in situ measurements including detailed dielectric profiles of the trunks from selected trees at each site, as well as diurnal water potential observations and porometry. Synthetic aperture radars (SARs) have been imaging these sites while in situ data collection has been underway. Imagery has been obtained by sensors including SIR-C/X-SAR, AIRSAR and ERS-1 SARs. The ground-based in situ observations are examined to establish the physiologic state of the forest canopies. SAR imagery is examined to determine the response of the radar backscatter to the observed canopy physiology.>
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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 | 0.000 | 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 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".