Evidence map›Paper›PMID 39068237›Full record

ArticleScientific reports2024

Characterization and detailed mapping of C by spectral sensor for soils of the Western Plateau of São Paulo.

Kathleen Fernandes, José Marques Júnior, Adriana Aparecida Ribon, Gabriela Mourão de Almeida, Mara Regina Moitinho, Denise de Lima Dias Delarica, Angélica Santos Rabelo de Souza Bahia, Dener Márcio da Silva Oliveira

Abstract read
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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Kathleen FernandesSchool of Agricultural and Veterinary Sciences, São Paulo State University (FCAV-UNESP), Via de Acesso Prof. Paulo Donato Castellane, s/n, Jaboticabal, São Paulo, Brazil.
José Marques JúniorSchool of Agricultural and Veterinary Sciences, São Paulo State University (FCAV-UNESP), Via de Acesso Prof. Paulo Donato Castellane, s/n, Jaboticabal, São Paulo, Brazil.
Adriana Aparecida RibonGoiás State University (UEG), West Campus, University Unit of Palmeiras de Goiás, S-7, s/n Setor Sul, Palmeiras de Goiás, Goiás, Brazil.
Gabriela Mourão de AlmeidaSchool of Agricultural and Veterinary Sciences, São Paulo State University (FCAV-UNESP), Via de Acesso Prof. Paulo Donato Castellane, s/n, Jaboticabal, São Paulo, Brazil.
Mara Regina MoitinhoSchool of Agricultural and Veterinary Sciences, São Paulo State University (FCAV-UNESP), Via de Acesso Prof. Paulo Donato Castellane, s/n, Jaboticabal, São Paulo, Brazil. maramoitinho@gmail.com.
Denise de Lima Dias DelaricaSchool of Agricultural and Veterinary Sciences, São Paulo State University (FCAV-UNESP), Via de Acesso Prof. Paulo Donato Castellane, s/n, Jaboticabal, São Paulo, Brazil.
Angélica Santos Rabelo de Souza BahiaSchool of Agricultural and Veterinary Sciences, São Paulo State University (FCAV-UNESP), Via de Acesso Prof. Paulo Donato Castellane, s/n, Jaboticabal, São Paulo, Brazil.
Dener Márcio da Silva OliveiraFederal University of Viçosa (UFV), Campus Florestal. Rodovia LMG 818, km 06, Florestal, Minas Gerais, Brazil.

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 149940Fundação de Amparo à Pesquisa do Estado de São Paulo 2015/20692-0Fundação de Amparo à Pesquisa do Estado de São Paulo 2017/05477-0
6 · The paper itself

Abstract

Soil mineralogy and texture are directly related to soil carbon due to the physical properties of the clay surface. Traditional techniques for quantifying carbon in soil are time-consuming and expensive, making large-scale quantification for mapping unfeasible. The alternative is the use of soil sensors, such as diffuse reflectance spectroscopy (DRS), an economical, fast, and accurate technique for predicting carbon stocks. In this sense, this study aimed to (a) investigate the relationship of C with different soil mineralogical, chemical, and physical attributes for different geological and geomorphological compartments; (b) understand which spectral bands are most important for estimating C content; (c) estimate C content from diffuse reflectance spectroscopy using different mathematical techniques and indicate which one is the best for tropical soil conditions; and (d) map C contents in detail. The study area was the Western Plateau of São Paulo (WPSP), which covers approximately 13 million hectares (~ 48% of the State of São Paulo, Brazil). A total of 265 samples were collected in this area. The attributes clay, silt, sand, crystalline and non-crystalline iron, base saturation, soil density, total pore volume, total C, C stock, kaolinite/(kaolinite + gibbsite) and hematite/(hematite + goethite), hematite and goethite contents, and spectral curves were evaluated. The spectra were recorded at 0.5-nm intervals, with an integration time of 2.43 nm s

Indexed as

ChemometricsGlobal warmingMachine learningSoil mineralogy

Identifiers

PMID39068237
PMCPMC11283492

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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.