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ANÁLISE COMPARATIVA DO NDVI COM A IMPLANTAÇÃO DA SP-21 (RODOANEL): SÉRIE HISTÓRICA PARA 1985 - 2010

2017· article· pt· W2740021738 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSouth American Development Society Journal · 2017
Typearticle
Languagept
FieldEnvironmental Science
TopicGeography and Environmental Studies
Canadian institutionsNortel (Canada)
Fundersnot available
KeywordsHumanitiesGeographyPhysicsArt

Abstract

fetched live from OpenAlex

A pesquisa analisou o índice de vegetação com a construção do Rodoanel Mário Covas (SP-21), para a série história de 1985 a 2010. Para tanto, utilizaram-se técnicas de sensoriamento remoto, com análise de imagens de satélite, através do NDVI – Índice de Vegetação por Diferença Normatizada, com uma escala de medida linear entre –1 e 1. A SP-21 corta a Região Metropolitana de São Paulo – RMSP, que é a maior do país. Composta por 39 municípios e, uma população de aproximadamente 22 milhões de habitantes (IBGE, 2016). A SP-21, tem um traçado projetado de 181 km de extensão, dividido em quatro trechos: Norte, Sul, Leste, Oeste. Atualmente, apenas o trecho Norte não opera. Este trabalho teve como objetivo principal realizar o cálculo de NDVI, a partir das cenas de imagens do satélite Landsat-7 da RMSP, com ênfase para o traçado da Rodovia SP-21, localizada no Estado de São Paulo. Com os dados coletados e analisados, percebeu-se que não houve alterações significativas na massa vegetal. Contudo, é inegável que a construção da rodovia tem provocado impactos ambientais negativos, mas este estudo não teve como objetivo apontar tais danos.

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.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0130.005
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0060.002

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 head0.037
GPT teacher head0.264
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