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Record W2371842498

Study on the Barrier Zones Division of Three Gorges Reservoir Area Based on Remote Sensing

2012· article· en· W2371842498 on OpenAlexaff
Xuhong Wang

Bibliographic record

VenueGround Water · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicRemote Sensing and Land Use
Canadian institutionsScience North
Fundersnot available
KeywordsThree gorgesRidgeRemote sensingNatural (archaeology)Environmental scienceDivision (mathematics)Hydrology (agriculture)GeographyGeologyCartographyGeotechnical engineering
DOInot available

Abstract

fetched live from OpenAlex

The paper combines the method of remote sensing and GIS spatial analysis,and is based on the three Landsat TM images to have a comparative character analysis of surface brightness temperature,surface humidity,and the ridge line for Chongqing Wanzhou,at last simulate the trends and scope of them.By composition analysis of multi-layer data,decide the delineation of the region's ecological environment barrier.The result shows that Three Gorges water conservancy project in the studied area has a growing impact on its natural environment.Considering with natural factors,we designate the ecological barrier with about 484.44 km2.The findings will provide a data reference for ecological environmental assessment and land use planning for the reservoir area.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score0.348

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 head0.053
GPT teacher head0.237
Teacher spread0.184 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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