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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.; 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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