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Record W1618555190

ANALYSIS OF ASAR IMAGERY FOR HYDROLOGICAL APPLICATIONS IN SARDINIA, ITALY

2005· article· en· W1618555190 on OpenAlexaff
K. Guillotte, Imen Gherboudj, Claudio Paniconi, Monique Bernier, Marino Marrocu, Maria Antonietta Dessena, A. Soddu Pirellas, Stefania Fanni, F. Fantola

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicSoil Moisture and Remote Sensing
Canadian institutionsUniversité du Québec
Fundersnot available
KeywordsRemote sensingTerrainEnvironmental scienceIrrigationGeologyHydrology (agriculture)GeographyCartography
DOInot available

Abstract

fetched live from OpenAlex

We present results from analysis of a first set of Envisat ASAR images acquired in 2003-2004 over the Campidano region of Sardinia, Italy. The dataset includes 7 vertically polarized images (ASA_IMP_1P products) for the period Mar-Jun 2003 and 12 alternating polarization (HH and VV) images (ASA_APP_1P products) for Feb-Jul 2004, at two swaths (IS1, with incidence angle range 15.0-22.9 o , and IS2, with range 19.2-26.7 o ). In this report we analyze 3 IS1 APP images from the 2004 dataset. Ground data used to correct the images and to corroborate the analyses at field and regional scales include rainfall, digital terrain, irrigation, and land use maps. Our interest in this preliminary assessment is to determine whether the ASAR images can detect changes in surface soil moisture content over the spring-summer period, an application that would be very useful in water management for this agriculturally important region of Sardinia (e.g., irrigation planning and monitoring).

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score0.163

Codex and Gemma teacher scores by category

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

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.

Opus teacher head0.010
GPT teacher head0.251
Teacher spread0.241 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2005
Admission routes1
Has abstractyes

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