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A remote sensing framework to map potential toxic elements in agricultural soils in the humid tropics.
Mendes, Wanderson de Sousa; Demattê, José A M; de Resende, Maria Eduarda B; Chimelo Ruiz, Luiz Fernando; César de Mello, Danilo; Fim Rosas, Jorge Tadeu; Quiñonez Silvero, Nélida Elizabet; Ferracciú Alleoni, Luís Reynaldo; Colzato, Marina; Rosin, Nícolas Augusto; Campos, Lucas Rabelo.
Afiliação
  • Mendes WS; Leibniz Centre for Agricultural Landscape Research (ZALF) Müncheberg, "Landscape Pedology" Working Group, Research Area 1 "Landscape Functioning", 15374, Müncheberg, Germany. Electronic address: wanderson.mendes@zalf.de.
  • Demattê JAM; Department of Soil Science, "Luiz de Queiroz" College of Agriculture, University of São Paulo, Av. Pádua Dias 11, Portal Box 9, Piracicaba, São Paulo, 13418-140, Brazil. Electronic address: jamdemat@usp.br.
  • de Resende MEB; Department of Soil Science, "Luiz de Queiroz" College of Agriculture, University of São Paulo, Av. Pádua Dias 11, Portal Box 9, Piracicaba, São Paulo, 13418-140, Brazil.
  • Chimelo Ruiz LF; Department of Soil Science, "Luiz de Queiroz" College of Agriculture, University of São Paulo, Av. Pádua Dias 11, Portal Box 9, Piracicaba, São Paulo, 13418-140, Brazil.
  • César de Mello D; Department of Soil Science, "Luiz de Queiroz" College of Agriculture, University of São Paulo, Av. Pádua Dias 11, Portal Box 9, Piracicaba, São Paulo, 13418-140, Brazil.
  • Fim Rosas JT; Department of Soil Science, "Luiz de Queiroz" College of Agriculture, University of São Paulo, Av. Pádua Dias 11, Portal Box 9, Piracicaba, São Paulo, 13418-140, Brazil.
  • Quiñonez Silvero NE; Department of Soil Science, "Luiz de Queiroz" College of Agriculture, University of São Paulo, Av. Pádua Dias 11, Portal Box 9, Piracicaba, São Paulo, 13418-140, Brazil.
  • Ferracciú Alleoni LR; Department of Soil Science, "Luiz de Queiroz" College of Agriculture, University of São Paulo, Av. Pádua Dias 11, Portal Box 9, Piracicaba, São Paulo, 13418-140, Brazil.
  • Colzato M; Department of Soil Science, "Luiz de Queiroz" College of Agriculture, University of São Paulo, Av. Pádua Dias 11, Portal Box 9, Piracicaba, São Paulo, 13418-140, Brazil.
  • Rosin NA; Department of Soil Science, "Luiz de Queiroz" College of Agriculture, University of São Paulo, Av. Pádua Dias 11, Portal Box 9, Piracicaba, São Paulo, 13418-140, Brazil. Electronic address: narosin@usp.br.
  • Campos LR; Department of Soil Science, "Luiz de Queiroz" College of Agriculture, University of São Paulo, Av. Pádua Dias 11, Portal Box 9, Piracicaba, São Paulo, 13418-140, Brazil.
Environ Pollut ; 292(Pt B): 118397, 2022 Jan 01.
Article em En | MEDLINE | ID: mdl-34688724
Soil contamination by potentially toxic elements (PTEs) is one of the greatest threats to environmental degradation. Knowing where PTEs accumulated in soil can mitigate their adverse effects on plants, animals, and human health. We evaluated the potential of using long-term remote sensing images that reveal the bare soils, to detect and map PTEs in agricultural fields. In this study, 360 soil samples were collected at the superficial layer (0-20 cm) in a 2574 km2 agricultural area located in São Paulo State, Brazil. We tested the Soil Synthetic Image (SYSI) using Landsat TM/ETM/ETM+, Landsat OLI, and Sentinel 2 images. The three products have different spectral, temporal, and spatial resolutions. The time series multispectral images were used to reveal areas with bare soil and their spectra were used as predictors of soil chromium, iron, nickel, and zinc contents. We observed a strong linear relationship (-0.26 > r > -0.62) between the selected PTEs and the near infrared (NIR) and shortwave infrared (SWIR) bands of Sentinel (ensemble of 4 years of data), Landsat TM (35 years data), and Landsat OLI (4 years data). The clearest discrimination of soil PTEs was obtained from SYSI using a long term Landsat 5 collection over 35 years. Satellite data could efficiently detect the contents of PTEs in soils due to their relation with soil attributes and parent materials. Therefore, distinct satellite sensors could map the PTEs on tropics and assist in understanding their spatial dynamics and environmental effects.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Solo / Poluentes do Solo Limite: Humans País/Região como assunto: America do sul / Brasil Idioma: En Revista: Environ Pollut Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2022 Tipo de documento: Article País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Solo / Poluentes do Solo Limite: Humans País/Região como assunto: America do sul / Brasil Idioma: En Revista: Environ Pollut Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2022 Tipo de documento: Article País de publicação: Reino Unido