Evidence map›Paper›PMID 37407589›Full record

ArticleScientific reports2023

Remote sensing imagery detects hydromorphic soils hidden under agriculture system.

Fellipe A O Mello, José A M Demattê, Henrique Bellinaso, Raul R Poppiel, Rodnei Rizzo, Danilo C de Mello, Nícolas Augusto Rosin, Jorge T F Rosas, Nélida E Q Silvero, Heidy S Rodríguez-Albarracín

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In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Fellipe A O MelloDepartment of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Av., 11, Postal Box 09, Piracicaba, São Paulo, 13416-900, Brazil.ORCID http://orcid.org/0000-0002-0771-9080
José A M DemattêDepartment of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Av., 11, Postal Box 09, Piracicaba, São Paulo, 13416-900, Brazil. jamdemat@usp.br.
Henrique BellinasoDepartment of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Av., 11, Postal Box 09, Piracicaba, São Paulo, 13416-900, Brazil.ORCID http://orcid.org/0000-0002-0521-8864
Raul R PoppielDepartment of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Av., 11, Postal Box 09, Piracicaba, São Paulo, 13416-900, Brazil.ORCID http://orcid.org/0000-0002-1628-4154
Rodnei RizzoDepartment of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Av., 11, Postal Box 09, Piracicaba, São Paulo, 13416-900, Brazil.ORCID http://orcid.org/0000-0002-1637-2277
Danilo C de MelloDepartment of Soil Science, Federal University of Viçosa, Peter Henry Rolfs Av.-University Campus, Viçosa, Minas Gerais, 36570-900, Brazil.ORCID http://orcid.org/0000-0002-5398-9313
Nícolas Augusto RosinDepartment of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Av., 11, Postal Box 09, Piracicaba, São Paulo, 13416-900, Brazil.ORCID http://orcid.org/0000-0002-3439-4701
Jorge T F RosasDepartment of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Av., 11, Postal Box 09, Piracicaba, São Paulo, 13416-900, Brazil.ORCID http://orcid.org/0000-0002-3244-4816
Nélida E Q SilveroDepartment of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Av., 11, Postal Box 09, Piracicaba, São Paulo, 13416-900, Brazil.ORCID http://orcid.org/0000-0001-6021-2759
Heidy S Rodríguez-AlbarracínDepartment of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Pádua Dias Av., 11, Postal Box 09, Piracicaba, São Paulo, 13416-900, Brazil.ORCID http://orcid.org/0000-0002-6924-0948

Funding

CSRD VA 1
6 · The paper itself

Abstract

The pressure for food production has expanded agriculture frontiers worldwide, posing a threat to water resources. For instance, placing crop systems over hydromorphic soils (HS), have a direct impact on groundwater and influence the recharge of riverine ecosystems. Environmental regulations improved over the past decades, but it is difficult to detect and protect these soils. To overcome this issue, we applied a temporal remote sensing strategy to generate a synthetic soil image (SYSI) associated with random forest (RF) to map HS in an 735,953.8 km

Identifiers

PMID37407589
PMCPMC10322844

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.