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Record W2149062205 · doi:10.1109/igarss.2003.1294884

RADARSAT-1 and LANDSAT7 ETM+ integration for kimberlite exploration in the Buffalo Head Hills area, northern central Alberta

2004· article· en· W2149062205 on OpenAlexaboutno aff
P. Flora

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyKimberliteRadianceRemote sensingGeochemistryMantle (geology)

Abstract

fetched live from OpenAlex

The objective of this study was to develop a method of data integration involving intensity, hue, and saturation (IHS) enhancement using RADARSAT-1 Principal Component and Landsat7 ETM+ band 6 imagery. RADARSAT-1-PC2 image provides optimal topographic enhancement of the surface expression characterizing known kimberlite pipes in the Buffalo Head Hills, and complement associated thermal anomalies observed in the Landsat7 ETM+ band6. The IHS data fusion of RADARSAT-1-PC2 with Landsat7 ETM+ band 6L images resulted in a virtual image with 12.5 m resolution. Locations of some of the known kimberlite pipes were defined by the brighter absolute radiance response in band 6L compared to the host sedimentary rocks (Lower-Upper Cretaceous shales). Cross verification of the outlined thermal anomalies has been achieved using high-resolution aeromagnetic (HRAM) data.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.256

Distilled classifier scores by category (both heads)

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

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 head0.024
GPT teacher head0.232
Teacher spread0.208 · 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 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

Citations0
Published2004
Admission routes1
Has abstractyes

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