Search Results - "Ricardo Simão Diniz Dalmolin"
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Environmental covariates improve the spectral predictions of organic carbon in subtropical soils in southern Brazil
Published in Geoderma (01-07-2021)“…•Vis-NIR spectral data predicted soil organic carbon (SOC) moderately well in southern Brazil.•Adding soil-environmental covariates improved SOC predictions…”
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2
Replacing the (inefficient) manual runoff sampling method used in Brazil – a prototype sample splitter
Published in Scientia agricola (01-01-2021)“…ABSTRACT The method used to sample the runoff collected from soil erosion plots can be a significant source of error. In this study, we performed a laboratory…”
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3
Open legacy soil survey data in Brazil: geospatial data quality and how to improve it
Published in Scientia agricola (2020)“…Spatial soil data applications require sound geospatial data including coordinates and a coordinate reference system. However, when it comes to legacy soil…”
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4
How is the learning process of digital soil mapping in a diverse group of land use planners?
Published in Revista Brasileira de Ciência do Solo (01-01-2020)“…ABSTRACT The use of new technologies, the development of new software, and the advances in the machines ability to process data have brought a new perspective…”
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Field Description and Identification of Diagnostic Qualifiers for Urban Soils in Brazil
Published in Revista Brasileira de Ciência do Solo“…ABSTRACT Human activities often alter soils found in urban areas. These alterations affect their environmental functions and potential for use. However, soils…”
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Stratification of a local VIS-NIR-SWIR spectral library by homogeneity criteria yields more accurate soil organic carbon predictions
Published in Geoderma (01-03-2019)“…Considering the hypothesis that the predictive capacity of models is tied to soil characteristics, the stratification of a spectral library into groups is a…”
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Potential of Spectroradiometry to Classify Soil Clay Content
Published in Revista Brasileira de Ciência do Solo (2016)“…ABSTRACT Diffuse reflectance spectroscopy (DRS) is a fast and cheap alternative for soil clay, but needs further investigation to assess the scope of…”
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Two preprocessing techniques to reduce model covariables in soil property predictions by Vis-NIR spectroscopy
Published in Soil & tillage research (01-09-2017)“…•Novel approaches to select spectral features showed great predictive performances.•Continuum removal and detrend were suitable to reduce the predictor…”
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9
Building predictive models of soil particle-size distribution
Published in Revista Brasileira de Ciência do Solo (01-04-2013)“…Is it possible to build predictive models (PMs) of soil particle-size distribution (psd) in a region with complex geology and a young and unstable…”
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10
When does stratification of a subtropical soil spectral library improve predictions of soil organic carbon content?
Published in The Science of the total environment (01-10-2020)“…More accurate models for the prediction of soil organic carbon (SOC) by visible-near-infrared (Vis-NIR) spectroscopy remains a challenging task, especially…”
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11
Physical properties of a Brazilian sandy loam soil after the traffic of a military vehicle M113 BR
Published in Revista Brasileira de Ciência do Solo (01-01-2020)“…ABSTRACT Soil physical properties can be changed after vehicle traffic, especially by heavy military tracked vehicles. The Santa Maria military Instruction…”
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12
Digital soil mapping: strategy for data pre-processing
Published in Revista Brasileira de Ciência do Solo (01-08-2012)“…The region of greatest variability on soil maps is along the edge of their polygons, causing disagreement among pedologists about the appropriate description…”
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13
The effect of intrinsic soil properties on soil quality assessments
Published in Revista Brasileira de Ciência do Solo (01-10-2013)“…The assessment of soil quality is based on indicators and indices derived from soil properties. However, intrinsic soil properties may interfere with other…”
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14
Soil depth prediction by digital soil mapping and its impact in pine forestry productivity in South Brazil
Published in Forest ecology and management (15-05-2021)“…•Soil depth was predicted at regional scale in a landscape with complex topography.•The total height of the 30-year-old Pinus taeda L. forest was…”
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15
Soil organic matter and clay predictions by laboratory spectroscopy: Data spatial correlation
Published in Geoderma Regional (01-03-2022)“…Soil spectroscopy (Vis-NIR-SWIR 350–2500 nm) has known potential to predict clay content and soil organic matter (SOM), which are properties that determine…”
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16
Accounting for the spatial variation of phosphorus available explained by environmental covariates
Published in Geoderma Regional (01-03-2023)“…The demand for maps of soil attributes in agriculture has increased during the past years, especially aiming the rational use of phosphorus fertilizer which…”
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17
Sampling Design and Spatial Modeling of Available Phosphorus in a Complex Agricultural Area in Southern Brazil
Published in Journal of soil science and plant nutrition (01-12-2023)“…In this study, we have compared three sampling designs and two modeling methods applied in the spatial prediction of available P in the soil. The study was…”
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18
AlradSpectra: a Quantification Tool for Soil Properties Using Spectroscopic Data in R
Published in Revista Brasileira de Ciência do Solo“…ABSTRACT Soil reflectance spectroscopy has become an innovative method for soil property quantification supplying data for studies in soil fertility, soil…”
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19
A systematic study on the application of scatter-corrective and spectral-derivative preprocessing for multivariate prediction of soil organic carbon by Vis-NIR spectra
Published in Geoderma (15-03-2018)“…Soil organic carbon (SOC) plays a crucial role as an ecosystems indicator. Its quantification requires an affordable, and less time-consuming method. Visible…”
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20
Diffuse reflectance spectroscopy for estimating soil organic carbon and make nitrogen recommendations
Published in Scientia agricola (01-01-2021)“…Diffuse reflectance spectroscopy (DRS) has the potential to predict soil organic carbon (SOC). However, it is still little used as a matter of routine in soil…”
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