A5053774949- Soil Geostatistics and Mapping
- Geochemistry and Geologic Mapping
- Soil Carbon and Nitrogen Dynamics
- Soil and Unsaturated Flow
- Clay minerals and soil interactions
- Soil Moisture and Remote Sensing
- Soil Management and Crop Yield
- Plant Water Relations and Carbon Dynamics
- Heavy metals in environment
- Soil and Land Suitability Analysis
- Soil erosion and sediment transport
- Remote Sensing and LiDAR Applications
- Remote Sensing in Agriculture
- Mineral Processing and Grinding
- Geology and Paleoclimatology Research
- Forest ecology and management
- Water-Energy-Food Nexus Studies
- Greenhouse Technology and Climate Control
- Spectroscopy and Chemometric Analyses
- Geochemistry and Elemental Analysis
- Iron oxide chemistry and applications
- Hydrology and Watershed Management Studies
- Crop Yield and Soil Fertility
- Therapeutic Uses of Natural Elements
- Acne and Rosacea Treatments and Effects
Universidade Federal de Lavras
2018-2024
Pontificia Universidad Católica de Chile
2000-2007
Universidad Católica de la Santísima Concepción
2001
Assessment and proper management of sites contaminated with heavy metals require precise information on the spatial distribution these metals. This study aimed to predict map Cd, Cu, Ni, Pb, Zn across conterminous USA using point observations, environmental variables, Histogram-based Gradient Boosting (HGB) modeling. Over 9180 surficial soil observations from Soil Geochemistry Spatial Database (SGSD) (n = 1150), Geochemical Mineralogical Survey Soils (GMSS) 4857), Holmgren Dataset (HD)...
Most of the conventional mapping has relied on terrain attributes characterized by topographic images. Similarly, digital soil (DSM) also uses derived from elevation models. However, both approaches only represent surface runoff, thus leading to static and 2-dimentional maps. Distributed hydrological models can characterize water movement with depth over time at multiple scales (hillslope, landscape, regional, etc.) a true 4- dimensional approach. A distributed hydrology vegetation model...
Portable X-ray fluorescence (pXRF) spectrometry has been successfully used for soil attribute prediction. However, recent studies have shown that accurate predictions may vary according to type and environmental conditions, motivating investigations in different biomes. Hence, this work attempted accurately predict pH, sum of bases (SB), cation exchange capacity (CEC) at pH 7.0 base saturation (BS) using pXRF-obtained data with high variability robust prediction models the Brazilian Coastal...
Riboflavin (RF) is a normal component of the eye lens which triggers strong photosensitizing activity when exposed to light. Upon irradiation with short wavelength radiations below 400 nm, RF-photosensitized damage may occur. However, vitamin C present at high concentrations in and plays an important role inhibiting these photosensitization processes. An vitro simple model was used objective understanding better relationships between oxygen on mechanisms RF-mediated photodegradation...
Digital soil mapping (DSM) relies on machine-learning and geostatistics to represent property observations across space. DSM techniques are powerful but often empirical, being limited the quality density of point samples. Water dynamics closely related variability, physics that govern water movement well known. Hydrological properties can hence be simulated by physical models through space time, unveiling key characteristics about soils. We propose use hydrologic map soils surface (2D),...
Alluvial plains are vexing landscapes for soil mapping and spatial property predictions. sediments often exhibit unpredictable variability from both fluvial anthropogenic disturbance. The determination of optimal number sampling points capturing remains a persistent issue monitoring conditions. Here, organic matter (SOM) cation exchange capacity (CEC) were estimated in an alluvial plain dense array 2145 samples over 250 ha. primary goals to i) use pixel-based statistics time-series...