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Record W1994447432 · doi:10.17271/198008271022014896

AVALIAÇÃO DAS MUDANÇAS NA PAISAGEM DA BACIA HIDROGRÁFICA DO LAJEADINHO EM CAMPO GRANDE-MS, POR MEIO DE ANÁLISE MULTITEMPORAL

2014· article· pt· W1994447432 on OpenAlexaff
Felipe Leite Lima, Mauro Henrique Soares da Silva

Bibliographic record

VenuePeriódico Eletrônico Fórum Ambiental da Alta Paulista. · 2014
Typearticle
Languagept
FieldEnvironmental Science
TopicGeography and Environmental Studies
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsWatershedGeographyGeoprocessingThematic mapForestryHumanitiesCartographyArtComputer science

Abstract

fetched live from OpenAlex

Este trabalho teve como objetivo identificar as mudanças na paisagem da Bacia Hidrográfica do Lajeadinho de modo a avaliar a eficácia do processo de instituição da APA dos Mananciais do Lajeado. Especificamente, realizou-se a análise do uso e ocupação do solo, além da identificação, descrição e mapeamento da evolução da paisagem, de modo a compreender se a criação da APA preveniu ou ajudou a prevenir a degradação da área. Por meio do uso de técnicas de processamento digital de imagens foram elaborados os mapas temáticos de 1994 e 2014. O uso de Sistemas de Informações Geográficas (SIG’s) permitiu observar os impactos ambientais devido ao mau uso das terras. PALAVRAS-CHAVE: Unidade de Conservação. Geoprocessamento. Uso e Ocupação do Solo. EVALUATION OF CHANGES IN THE LANDSCAPE OF LAJEADINHO WATERSHED IN CAMPO GRANDE-MS THROUGH MULTITEMPORAL ANALYSIS ABSTRACT This work had as goal to identify the changes in the landscape of Lajeadinho watershed to evaluate the efficiency of the institutional process of APA in the fountainhead of Lajeado. It was exactly achieved the analysis of the use and soil occupation, beyond the identification, description and mapping of the landscape evolution to understand if APA creation prevented or it helped to prevent the devastation of the area. Through the use of digital techniques processing of images, thematic maps were made from 1994 to 2014. The use of Geographic Information System (SIG’S) allowed to watch the environmental impacts due to the bad use of the lands. KEYWORDS: Unit Of Conservation. Geo-Processing. Use And Soil Occupation. EVALUACIÓN DE LOS CAMBIOS EN EL PAISAJE DE LA CUENCA HIDROGRÁFICA DE LAJEADINHO EN CAMPO GRANDE-MS, A TRAVÉS DE ANÁLISIS MULTITEMPORALES RESUMEN El objetivo de este trabajo fue identificar Los cambios en el paisaje de la cuenca hidrográfica de Lajeadinho con el fin de evaluar la eficacia del proceso de institución de la APA de los Manantiales de Lajeado. Específicamente, se realizó el análisis del uso y ocupación del suelo, además de la identificación, descripción y mapeo de la evolución del paisaje, a modo de comprender sí la creación del APA previno o ayudó a prevenir la degradación del área. Por medio de técnicas de procesamiento digital de imágenes fueron elaborados mapas temáticos de 1994 y 2014. El uso de Sistemas de Informaciones Geográficas (SIG’s) posibilitó evidenciar los impactos ambientales derivados del mal uso de tierras. PALABRAS CLAVE: Unidades de Conservación. Geoprocesamiento. Uso y Ocupación del Suelo.

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)0.001
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 score0.102
Threshold uncertainty score0.203

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.244
Teacher spread0.231 · 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
Published2014
Admission routes1
Has abstractyes

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