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| Alves,Marcelo Rodrigo; Demattê,José A. M.; Barros,Pedro Paulo Silva. |
| ABSTRACT In recent years, geotechnologies as remote and proximal sensing and attributes derived from digital terrain elevation models indicated to be very useful for the description of soil variability. However, these information sources are rarely used together. Therefore, a methodology for assessing and specialize soil classes using the information obtained from remote/proximal sensing, GIS and technical knowledge has been applied and evaluated. Two areas of study, in the State of São Paulo, Brazil, totaling approximately 28.000 ha were used for this work. First, in an area (area 1), conventional pedological mapping was done and from the soil classes found patterns were obtained with the following information: a) spectral information (forms of features... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Soil spectral behavior; Terrain features; Remote sensing. |
| Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832015000501261 |
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| Demattê,José Alexandre Melo; Alves,Marcelo Rodrigo; Terra,Fabricio da Silva; Bosquilia,Raoni Wainer Duarte; Fongaro,Caio Troula; Barros,Pedro Paulo da Silva. |
| ABSTRACT It is often difficult for pedologists to “see” topsoils indicating differences in properties such as soil particle size. Satellite images are important for obtaining quick information for large areas. However, mapping extensive areas of bare soil using a single image is difficult since most areas are usually covered by vegetation. Thus, the aim of this study was to develop a strategy to determine bare soil areas by fusing multi-temporal satellite images and classifying them according to soil textures. Three different areas located in two states in Brazil, with a total of 65,000 ha, were evaluated. Landsat images of a specific dry month (September) over five consecutive years were collected, processed, and subjected to atmospheric correction... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Bare soils; Satellite images; Spectral sensing; Multi-temporal images; Digital soil mapping; Soil remote sensing. |
| Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832016000100311 |
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| Demattê,José A. M.; Alves,Marcelo Rodrigo; Gallo,Bruna Cristina; Fongaro,Caio T.; Souza,Arnaldo Barros e; Romero,Danilo Jefferson; Sato,Marcus Vinicius. |
| Minimizing environmental impacts and increasing crop productivity depend mainly on the knowledge of chemical, physical and mineralogical characteristics of the soil attributes. However, traditional methods are timeconsuming and costly. The objective of this study was to determine and validate a method to quantify soil attributes using UV-Vis-NIR Spectroscopy as an alternative to conventional methods of soil analyses. The work comprised two main phases: (1) creation and calibration of statistical models to determine the soil attributes derived from spectral data extracted from soil samples collected in area 1, (2) validation of statistical models in area 2 and correlations between the estimated and observed values (conventional method) for each soil... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Reflectance; Soil analysis; Remote Sensing. |
| Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902015000200223 |
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| Demattê,José A. M.; Ferreira,Fernando Perobelli; Alves,Marcelo Rodrigo; Campos,Rogério Costa. |
| O Estado do Mato Grosso do Sul (MS) é um dos principais produtores do setor agropecuário brasileiro. Entretanto, para manter essa condição, terá que ter à disposição metodologias que auxiliem no planejamento do uso racional de suas terras. Desta forma, tornam-se necessárias pesquisas que visem obter métodos de investigação dos solos que atuem de forma rápida, sejam eficazes e, principalmente, de baixo custo. Sabendo-se que o relevo é importante fator de formação dos solos e que fotos aéreas detectam a variação de superfície, espera-se que, juntamente com informações espectrais quantitativas da superfície, possam caracterizar e discriminar solos ou grupamento de solos na paisagem. Assim, este estudo teve por objetivos: (a) identificar diferentes classes de... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Formas da paisagem; Morfometria; Imagens de satélite; Reflectância. |
| Ano: 2011 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052011000100018 |
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