|
|
| 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. |
| 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... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Soil texture; Remote sensing; Bare soil mask; Multiple linear regression; Digital soil mapping. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832018000100310 |
| |
