Your browser doesn't support javascript.
loading
Genesis and properties of wetland soils by VIS-NIR-SWIR as a technique for environmental monitoring.
Demattê, José Alexandre Melo; Horák-Terra, Ingrid; Beirigo, Raphael Moreira; Terra, Fabrício da Silva; Marques, Karina Patrícia Prazeres; Fongaro, Caio Troula; Silva, Alexandre Christófaro; Vidal-Torrado, Pablo.
Afiliação
  • Demattê JAM; Department of Soil Science, College of Agriculture "Luiz de Queiroz", University of São Paulo, Pádua Dias Avenue, 11, CP 9, Piracicaba, SP, 13418-900, Brazil. Electronic address: jamdemat@usp.br.
  • Horák-Terra I; Institute of Agricultural Sciences, Federal University of Jequitinhonha and Mucuri Valleys - Campus Unaí, Vereador João Narciso Avenue, 1380, Unaí, MG, 38610-000, Brazil. Electronic address: ingrid.horak@ufvjm.edu.br.
  • Beirigo RM; Department of Soils and Rural Engineering, Center of Agricultural Science, Federal University of Paraíba - Campus II, Highway BR 079 Km 12, Areia, PB, 58397-000, Brazil. Electronic address: rmbeirigo@yahoo.com.br.
  • Terra FDS; Center for Technological Development/Water Resources Engineering, Federal University of Pelotas - Campus Porto, Street Gomes Carneiro Street, 1, Center, Pelotas, RS, 96010-610, Brazil. Electronic address: fabricio.terra@ufpel.edu.br.
  • Marques KPP; Department of Soil Science, College of Agriculture "Luiz de Queiroz", University of São Paulo, Pádua Dias Avenue, 11, CP 9, Piracicaba, SP, 13418-900, Brazil. Electronic address: karina.marques@usp.br.
  • Fongaro CT; Department of Soil Science, College of Agriculture "Luiz de Queiroz", University of São Paulo, Pádua Dias Avenue, 11, CP 9, Piracicaba, SP, 13418-900, Brazil. Electronic address: caio.fongaro@gmail.com.
  • Silva AC; Department of Forest Engineering, Federal University of Jequitinhonha and Mucuri Valleys, Campus JK, Highway MGT 367 - Km 583, nº 5000, Diamantina, MG, 39100-000, Brazil. Electronic address: alexandre.christo@ufvjm.edu.br.
  • Vidal-Torrado P; Department of Soil Science, College of Agriculture "Luiz de Queiroz", University of São Paulo, Pádua Dias Avenue, 11, CP 9, Piracicaba, SP, 13418-900, Brazil. Electronic address: pvidal@usp.br.
J Environ Manage ; 197: 50-62, 2017 Jul 15.
Article em En | MEDLINE | ID: mdl-28324781
ABSTRACT
Wetlands are important ecosystems characterized by redoximorphic environments producing typical soil forming processes and organic carbon accumulation. Assessments and management of these areas are dependent on knowledge about soil characteristics and variability. By reflectance spectroscopy, information about soils can be obtained since their spectral behaviors are directly related to their chemical, physical, and mineralogical properties reflecting the pedogenetic processes and environment conditions. Our aims were (a) to characterize the main soil classes of wetlands regarding their spectral behaviors in VIS-NIR-SWIR (350-2500 nm) and relate them to pedogenesis and environmental conditions, (b) to determine spectral ranges (bands) with greater expression of the main soil properties, (c) to identify spectral variations and similarities between hydromorphic soils from wetlands and other soils under different moisture conditions, and (d) to propose spectral models to quantify some chemical and physical soil properties used as environmental quality indicators. Nine soil profiles from the Pantanal region (Mato Grosso State, Brazil) and one from the Serra do Espinhaço Meridional (Minas Gerais State, Brazil) were investigated. Spectral morphology interpretation allowed identifying horizon differences regarding shape, absorption features and reflectance intensity. Some pedogenetic processes of wetland soils related to organic carbon accumulation and oxide iron variation were identified by spectra. Principal Component Analysis allowed discriminating soils from wetland and outside this area (oxidic environment). Quantification of organic carbon was possible with R2 of 0.90 and low error. Quantification of clay content was masked by soils with organic carbon content over 2% where it was not possible to quantify with high R2 and low error both properties when dataset has soil samples with high organic carbon content. By reflectance spectroscopy, important characteristics of wetland soils can be identified and used to distinguish from soils of different environments at low costs, reduced time, and with environmental quality.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Solo / Monitoramento Ambiental / Áreas Alagadas Tipo de estudo: Prognostic_studies País como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Solo / Monitoramento Ambiental / Áreas Alagadas Tipo de estudo: Prognostic_studies País como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2017 Tipo de documento: Article