Evidence map›Paper›PMID 31980935›Full record

ArticleEnvironmental monitoring and assessment2020

Mapping LULC types in the Cerrado-Atlantic Forest ecotone region using a Landsat time series and object-based image approach: A case study of the Prata River Basin, Mato Grosso do Sul, Brazil.

Elias Rodrigues da Cunha, Celso Augusto Guimarães Santos, Richarde Marques da Silva, Vitor Matheus Bacani, Paulo Eduardo Teodoro, Elói Panachuki, Naelmo de Souza Oliveira

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Elias Rodrigues da CunhaDepartment of Geosciences, Federal University of Paraíba, João Pessoa, Paraíba, Brazil.ORCID http://orcid.org/0000-0003-1119-881X
Celso Augusto Guimarães SantosDepartment of Civil and Environmental Engineering, Federal University of Paraíba, João Pessoa, Paraíba, 58051-900, Brazil. celso@ct.ufpb.br.ORCID http://orcid.org/0000-0001-7927-9718
Richarde Marques da SilvaDepartment of Geosciences, Federal University of Paraíba, João Pessoa, Paraíba, Brazil.ORCID http://orcid.org/0000-0001-6601-5174
Vitor Matheus BacaniDepartment of Geography, Federal University of Mato Grosso do Sul, Três Lagoas, Mato Grosso do Sul, Brazil.ORCID http://orcid.org/0000-0002-8650-0780
Paulo Eduardo TeodoroDepartment of Agronomy, Federal University of Mato Grosso do Sul, Chapadão do Sul, Mato Grosso do Sul, Brazil.ORCID http://orcid.org/0000-0002-8236-542X
Elói PanachukiDepartment of Agronomy, State University of Mato Grosso do Sul, Aquidauana, Mato Grosso do Sul, Brazil.ORCID http://orcid.org/0000-0002-5816-7466
Naelmo de Souza OliveiraDepartment of Agronomy, State University of Mato Grosso do Sul, Aquidauana, Mato Grosso do Sul, Brazil.ORCID http://orcid.org/0000-0002-4062-880X

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 304213/2017-9Conselho Nacional de Desenvolvimento Científico e Tecnológico 304540/2017-0Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 001Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul 59/300.140/2016
6 · The paper itself

Abstract

In the last 30 years, the growth of the agriculture and livestock industries in the Cerrado biome has caused severe changes in land use and land cover (LULC), and areas previously occupied by native vegetation are changing to agricultural monocultures (e.g., soybean or corn) and/or pastures. Thus, the objective of this study was to analyze the LULC changes for the years 1986, 1999, 2007, and 2016 based on Landsat time series and object-based image analysis (OBIA) for the Prata River Basin. Twelve LULC classes were mapped: riparian forest, cerrado, swampy grasslands, wetlands, semideciduous forest, pasture, agriculture, fallow agricultural land, barren land, eucalyptus, water bodies, and burnt area. The classifications presented results with an overall accuracy of more than 93% and a kappa coefficient of 0.92. In 2007, the pasture class had the highest increase in area (48.5%), with a total area of 118.32 km

Indexed as

Conservation of Natural ResourcesEnvironmental MonitoringForestsAgricultureBrazilRiversCerrado biomeDeforestationLand use/land cover changeObject-based image analysisRemote sensing

Identifiers

PMID31980935

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.