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Rizzo,Rodnei; Demattê,José A. M.; Terra,Fabrício da Silva. |
Considering that information from soil reflectance spectra is underutilized in soil classification, this paper aimed to evaluate the relationship of soil physical, chemical properties and their spectra, to identify spectral patterns for soil classes, evaluate the use of numerical classification of profiles combined with spectral data for soil classification. We studied 20 soil profiles from the municipality of Piracicaba, State of São Paulo, Brazil, which were morphologically described and classified up to the 3rd category level of the Brazilian Soil Classification System (SiBCS). Subsequently, soil samples were collected from pedogenetic horizons and subjected to soil particle size and chemical analyses. Their Vis-NIR spectra were measured, followed by... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Soil reflectance; Soil classification; Principal component analysis; OSACA algorithm. |
Ano: 2014 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832014000200002 |
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Demattê,José A. M.; Terra,Fabrício da Silva; Otto,Rafael; Toma,Raul Shiso; Pereira,Luiz Henrique; Nascimento,Alexandre Ferreira do; Bortoletto,Marco Antonio Melo. |
ABSTRACT When the harvesting of sugarcane involves a mechanized process, plant residues remain on the soil surface, which makes proximal and remote sensing difficult to monitor. This study aimed to evaluate, under laboratory conditions, differences in the soil spectral behavior of surface layers Quartzipsamment and Hapludox soil classes due to increasing levels of sugarcane’s dry (DL) and green (GL) leaf cover on the soil. Soil cover was quantified by supervised classification of the digital images (photography) taken of the treatments. The spectral reflectance of the samples was obtained using the FieldSpec Pro (350 to 2500 nm). TM-Landsat bands were simulated and the Normalized Difference Vegetation Index (NDVI) and soil line were also determined. Soil... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: TM-Landsat; NDVI; Soil remote sensing; Soil proximal sensing; Soil line. |
Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162016000200159 |
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Demattê,José Alexandre Melo; Terra,Fabrício da Silva; Quartaroli,Carlos Fernando. |
Remote sensing has a high potential for environmental evaluation. However, a necessity exists for a better understanding of the relations between the soil attributes and spectral data. The objective of this work was to analyze the spectral behavior of some soil profiles from the region of Piracicaba, São Paulo State, using a laboratory spectroradiometer (400 to 2500 nm). The relations between the reflected electromagnetic energy and the soil physical, chemical and mineralogical attributes were analyzed, verifying the spectral variations of soil samples in depth along the profiles with their classification and discrimination. Sandy soil reflected more, presenting a spectral curve with an ascendant form, opposite to clayey soils. The 1900 nm band... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Soil reflectance; Soil attributes; Soil classification. |
Ano: 2012 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052012000300015 |
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