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Clécia Cristina Barbosa Guimarães

Researcher at University of São Paulo

Publications -  15
Citations -  178

Clécia Cristina Barbosa Guimarães is an academic researcher from University of São Paulo. The author has contributed to research in topics: Soil carbon & Soil test. The author has an hindex of 4, co-authored 14 publications receiving 90 citations. Previous affiliations of Clécia Cristina Barbosa Guimarães include Escola Superior de Agricultura Luiz de Queiroz.

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Journal ArticleDOI

The Brazilian Soil Spectral Library (BSSL): A general view, application and challenges

José Alexandre Melo Demattê, +64 more
- 15 Nov 2019 - 
TL;DR: The Brazilian Soil Spectral Library (BSSL) as mentioned in this paper was developed in a joint partnership with the Brazilian pedometrics community to standardize and evaluate spectra within the 350-2500nm range of Brazilian soils.
Journal ArticleDOI

Satellite Spectral Data on the Quantification of Soil Particle Size from Different Geographic Regions

TL;DR: In this article, the authors developed a quantification model for soil mapping using remote sensing (RS) techniques, which can be used to provide spatial information for agricultural management, including physical and chemical properties of the soil.
Journal ArticleDOI

Predicting carbon and nitrogen by visible near-infrared (Vis-NIR) and mid-infrared (MIR) spectroscopy in soils of Northeast Brazil

TL;DR: In this article, the potential use of spectroscopy in the visible (Vis), near infrared (NIR) and mid-infrared (MIR) regions and their combination to estimate total carbon and nitrogen stocks are evaluated using seven different pre-processing and two regression models and comparing to the concentrations determined by dry combustion of 701 soil samples from different soil classes and land uses in Northeast Brazil.
Journal ArticleDOI

Emissivity of agricultural soil attributes in southeastern Brazil via terrestrial and satellite sensors

TL;DR: In this article, the spectral pattern of soils with different granulometry (sand and clay) and organic carbon (OC) content using laboratory and satellite sensors in the MIR region, specifically in the Thermal Infrared (TIR) range (ASTER, Landsat satellites).