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Record W2548018689 · doi:10.3929/ethz-a-010742276

Multi-baseline polarimetric SAR interferometry for characterizing the biophysical properties of agricultural crops

2016· article· en· W2548018689 on OpenAlexaff
Manuele Pichierri

Bibliographic record

VenueRepository for Publications and Research Data (ETH Zurich) · 2016
Typearticle
Languageen
FieldEngineering
TopicSynthetic Aperture Radar (SAR) Applications and Techniques
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsInterferometric synthetic aperture radarBaseline (sea)Environmental sciencePolarimetryInterferometryRemote sensingSynthetic aperture radarAgricultureVegetation (pathology)Volume (thermodynamics)Soil scienceGeologyPhysicsEcologyScatteringOpticsOceanographyBiology

Abstract

fetched live from OpenAlex

In this study, we develop a single-baseline Pol-InSAR approach for estimating the ground-to-volume ratios at different polarizations. We then apply it to time series of Pol-InSAR measurements over agricultural crops in C-Band to assess the relationship between these estimated Pol-InSAR parameters and plant biophyical properties such as structure, biomass and water content. The assessment reveals that the temporal patterns of the Pol-InSAR estimated ground-to-volume ratios are influenced by vegetation water content variations. The dependence of these temporal patterns on polarization indicates the role of crop structural properties in the Pol-InSAR measurements.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.102
GPT teacher head0.329
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2016
Admission routes1
Has abstractyes

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