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Digital mapping of Fe2O3, Nb and TiO2 contents in Morro dos Seis Lagos (AM). The study aimed to evaluate the performance of Multivariate Adaptive Regression Spline (MARS), Radial Support Vector Machine (svmRadial) and Random Forest (RF) models to predict the spatial distributi... ... Repository: BDPA Publication year: 2023
Predição espacial de areia total através de machine learning: estudo de caso Projeto Salitre, Bahia. O objetivo do trabalho foi comparar dois modelos de machine-learning, Regressão Linear Múltipla (RLM) e Random Forest (RF), para a predição da distribuição da fração areia total do solo. Repository: BDPA Publication year: 2023
Hydropedological digital mapping: machine learning applied to spectral VIS-IR and radiometric data dimensionality reduction. Pedosphere-hydrosphere interface accounts for the association between soil hydrology and landscape, represented by topographic and Remote Sensing data support and integration. This study aimed to anal... ... Repository: BDPA Publication year: 2023
Could airborne geophysical data be used to improve predictive modeling of agronomic soil properties in tropical hillslope area? Airborne geophysical data (AGD) have great potential to represent soil-forming factors. Because of that, the objective of this study was to evaluate the importance of AGD in predicting soil attributes... ... Repository: BDPA Publication year: 2023
Use of variables derived from the Digital Elevation Model for the sustainable planning of soils in Bom Jardim - RJ. The research goal is to analyze terrain attributes obtained from a digital elevation model (DEM) to represent soil forming factors used in digital soil mapping at Bom Jardim county, Rio de Janeiro sta... ... Repository: BDPA Publication year: 2022
Levantamento semidetalhado dos solos da microbacia do Córrego do Bonfim, município de Petrópolis, Região Serrana do estado do Rio de Janeiro. Ao longo de anos, o homem vem tentando entender melhor os diversos tipos de ambientes para poder utilizá-los de forma mais racional e sustentável. Nesse contexto, o mapeamento de solos é de grande imp... ... Repository: BDPA Publication year: 2021
Sample design effects on soil unit prediction with machine: randomness, uncertainty, and majority map. Notwithstanding the importance of soil surveys, advances in digital soil mapping have mainly focused on mapping soil attributes or properties rather than developing digital maps of soil units or soil... ... Repository: BDPA Publication year: 2020
Usage of pedometrics for data evaluation and harmonization in soil profiles from Cerrado region, Mato Grosso do Sul. The objective of this study is to point out similarities between soils from a collection of 19 profiles, sampled in the state of Mato Grosso do Sul, latitude 20º26'34 "South and longitude 54 ° 38'47"... ... Repository: BDPA Publication year: 2019
Pedometric tools applied to zoning management of areas in brazilian semiarid region. Brazilian semi-arid region is a recent frontier in the country for agribusiness. The objective of this study is to apply pedometric tools to zoning areas with distinct potential and limitations to agr... ... Repository: BDPA Publication year: 2019
Mapping soil cation exchange capacity in a semiarid region through predictive models and covariates from remote sensing data. Planning sustainable use of land resources requires reliable information about spatial distribution of soil physical and chemical properties related to environmental processes and ecosystemic function... ... Repository: BDPA Publication year: 2018

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