Surface Spectroscopy of Oxisols, Entisols and Inceptisol and Relationships with Selected Soil Properties

Autor(es)

Raúl Roberto Poppiel ^[1] ; Marilusa Pinto Coelho Lacerda ^[2] ; Manuel Pereira de Oliveira Junior ^[3] ; José Alexandre Melo Demattê ^[4] ; Danilo Jefferson Romero ^[5] ; Marcus Vinicius Sato ^[5] ; Leonardo Rafael de Almeida Júnior ^[7] ; Luiz Felipe Moreira Cassol ^[7]

Afiliação do(s) autor(es)

^[1] Universidade de Brasília. Faculdade de Agronomia e Medicina Veterinária. Departamento de Agronomia - Brasil

^[2] Univ Brasilia, Fac Agron & Med Vet, Dept Agron, Brasilia, DF - Brazil

^[3] Univ Brasilia, Fac Agron & Med Vet, Dept Agron, Programa Posgrad Agron, Brasilia, DF - Brazil

^[4] Universidade de São Paulo. Escola Superior de Agricultura “Luiz de Queiroz”. Departamento de Ciência do Solo - Brasil

^[5] Univ Sao Paulo, Escola Super Agr Luiz de Queiroz, Dept Ciencia Solo, Programa Posgrad Solos & Nutr Plantas, Piracicaba, SP - Brazil

^[6] Universidade de Brasília. Faculdade de Agronomia e Medicina Veterinária. Curso de Agronomia - Brasil

^[7] Univ Brasilia, Fac Agron & Med Vet, Curso Agron, Brasilia, DF - Brazil

• Tipo de documento: Artigo Científico
• Fonte: Revista Brasileira de Ciência do Solo; v. 42, 2018-02-01.

Resumo

ABSTRACT: Traditional method of soil survey is expensive, slow, and must be carried out by experienced researchers. Thus, advances in soil observation technologies and the need to obtain information quickly by modern techniques have intensified the use of proximal sensing. This study characterized surface reflectance spectra (A horizon) and related them to traditional soil classification, based on morphological, physical, and chemical properties of representative pedogenetic profiles, developed in two toposequences of the Distrito Federal, Brazil. In the toposequences, 15 soil profiles were selected for a complete morphological description and sampling for laboratory analyses. Soil-landscape relationships were established, and profiles were classified to the fourth level of the Brazilian Soil Classification System (SiBCS). Classes of similar soils were grouped based on their surface spectra, resulting in spectral curves of 10 representative soils in the studied area. The Morphological Interpretation of Reflectance Spectrum (MIRS) and second derivative of the Kubelka-Munk (KM) function were applied to the soil spectra. The clustered soils were similar, mainly in terms of color, textural class, and organic matter content. Groups based on soil physical and chemical properties and on surface and subsurface colors were similar to those determined by surface reflectance. The identification of soil-landscape relationships was fundamental to understand the genesis and distribution of the soils, which had similar chemical and physical properties to their parent materials. The analysis of clusters based on soil surface reflectance proved efficient in determining groups of soil classes with similar properties. Surface reflectance data were related to the soil surface and subsurface properties determined by traditional soil sample analyses, since the two approaches formed similar groups. The simultaneous interaction of soil properties was assessed by MIRS analysis, while the second derivative of the KM function adequately quantified the mineralogy of the spectra. (AU)

• Processo FAPESP: 14/22262-0 - Geotecnologias no mapeamento digital pedológico detalhado e biblioteca espectral de solos do Brasil: desenvolvimento e aplicações
• Beneficiário: José Alexandre Melo Demattê
• Modalidade de apoio: Auxílio à Pesquisa - Temático