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Is It Possible to Classify Topsoil Texture Using a Sensor Located 800 km Away from the Surface? Rev. Bras. Ciênc. Solo
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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