Data/hora: 18/06/2024 00:56:52

Provedor de dados: | 90
País: | Brazil
Título: | Satellite Spectral Data on the Quantification of Soil Particle Size from Different Geographic Regions
Autores: | Demattê,José Alexandre Melo; Guimarães,Clécia Cristina Barbosa; Fongaro,Caio Troula; Vidoy,Emmily Larissa Felipe; Sayão,Veridiana Maria; Dotto,André Carnieletto; Santos,Natasha Valadares dos.
Data: | 2018-01-01
Ano: | 2018
Palavras-chave: | Soil texture; Remote sensing; Bare soil mask; Multiple linear regression; Digital soil mapping.
Resumo: | ABSTRACT: The study of soils, including their physical and chemical properties, is essential for agricultural management. Soil quality must be maintained to ensure sustainable production of food and conservation of natural resources. In this context, soil mapping is important to provide spatial information, which can be performed using remote sensing (RS) techniques. Modeling through use of satellite data is uncertain regarding the amplitude of replicability of the models. The aim of this study was to develop a quantification model for soil texture based on reflectance information from a continuum of bare soils, obtained by overlapping multi-temporal satellite images, and apply this model to an unknown region to evaluate its applicability. Spectral data were extracted from two Landsat TM 7 satellite images containing only bare soil, representing two distinct regions in Brazil (Area 1 and Area 2). The spectral data (obtained from six bands) and laboratory data (particle size from the 0.00-0.20 m layer) of Area 1 were modeled and extrapolated to Area 2. The bare soil images differentiated textural classes as sandy, sandy loam, clayey loam, clayey, and very clayey soil. The coefficients of determination between the determined and estimated values were higher than 0.5 and errors lower than 13 % for Area 1 and 30 % for Area 2, indicating applicability of the model to unknown areas.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100310
Editor: | Sociedade Brasileira de Ciência do Solo
Relação: | 10.1590/18069657rbcs20170392
Formato: | text/html
Fonte: | Revista Brasileira de Ciência do Solo  v.42 2018
Fonte: | info:eu-repo/semantics/openAccess