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Record W2117939928 · doi:10.15764/rsp.2014.01003

Monitoring Shoreline Changes in the Gulf of Khambhat, India During 1966–2004 Using RESOURCESAT-1 LISS-III

2014· article· en· W2117939928 on OpenAlexaff
Mukesh Gupta

Bibliographic record

VenueOpen Journal of Remote Sensing and Positioning · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCoastal and Marine Dynamics
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsShoreLandformGeologyGeodetic datumAccretion (finance)Radiometric datingEstuaryRemote sensingSatelliteOceanographyCoastal erosionHigh resolutionPhysical geographyGeographyGeomorphologyGeodesy

Abstract

fetched live from OpenAlex

This paper provides an assessment of the shoreline changes, which occurred during 19662004 in the coastal regions of the Gulf of Khambhat using RESOURCESAT-1 LISS-III (Linear Imaging Self Scanner) data. The remote sensing observations of the Gulf show a large area facing a serious threat due to dramatically changing shorelines. The entire coast around the Gulf has undergone accretion except some parts of the northern region and a few areas near the Mahi and Dhadhar estuaries where erosion is observed. These significant landform changes have occurred in four decades. The study has also shown the potential of the enhanced radiometric resolution satellite remote sensing data to be utilized for preparing good quality cartographic maps with improved shorelines leaving behind old maps prepared using conventional geodetic/ground surveys. The detection/quantification of shoreline change in the Gulf of Khambhat using advanced/latest models is proposed as an avenue of further research.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.938
Threshold uncertainty score0.740

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.014
GPT teacher head0.238
Teacher spread0.223 · 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 designOther design
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

Citations13
Published2014
Admission routes1
Has abstractyes

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