A5064048655- Soil Geostatistics and Mapping
- Geochemistry and Geologic Mapping
- Sugarcane Cultivation and Processing
- Remote Sensing in Agriculture
- Soil erosion and sediment transport
- Rice Cultivation and Yield Improvement
- Soil Carbon and Nitrogen Dynamics
- Soil and Land Suitability Analysis
- Land Use and Ecosystem Services
- Smart Agriculture and AI
- Urban Heat Island Mitigation
- Mineral Processing and Grinding
- Image Processing and 3D Reconstruction
- Soil Moisture and Remote Sensing
- Spectroscopy and Chemometric Analyses
- Irrigation Practices and Water Management
Universidade de São Paulo
2018-2024
Versar (United States)
2021
Forest Science and Research Institute
2020
Abstract The Earth’s surface dynamics provide essential information for guiding environmental and agricultural policies. Uncovered unprotected surfaces experience several undesirable effects, which can affect soil ecosystem functions. We developed a technique to identify global bare areas their based on multitemporal remote sensing images aid the spatiotemporal evaluation of anthropic natural phenomena. its changes were recognized by Landsat image processing over time range 30 years using...
Soil organic carbon (SOC) stocks are a remarkable property for soil and environmental monitoring. The understanding of their dynamics in crop soils must go forward. objective this study was to determine the impact temporal controlling factors obtained by satellite images over SOC along depth, using machine learning algorithms. work carried out São Paulo state (Brazil) an area 2577 km2. We dataset boreholes with analyses from topsoil subsoil (0–100 cm). Additionally, remote sensing covariates...
The study of soils, including their physical and chemical properties, is essential for agricultural management. Soil quality must be maintained to ensure sustainable production food conservation natural resources. In this context, soil mapping important provide spatial information, which can performed using remote sensing (RS) techniques. Modeling through use satellite data uncertain regarding the amplitude replicability models. aim was develop a quantification model texture based on...
Multitemporal collections of satellite images and their products have recently been explored in digital soil mapping. This study aimed to produce a bare image (BSI) for the São Paulo State (Brazil) perform pedometric analysis different geographical levels. First, we assessed potential BSI predicting surface (0.00-0.20 m) subsurface (0.80-1.00 clay, iron oxides (Fe 2 O 3 ), aluminum (m%) bases saturation (V%) contents at state level, which [...]
Retaining a residue cover (RC) over the soil is key to ensure its health. Since tropical agriculture systems, mostly in sugarcane, are characterized by intensive management, discrimination of types becomes difficult and aims be detected. Our goal was identify features regarding sugarcane residues using hyperspectral simulated Sentinel-2 dataset. Therefore, we collected green leafs (GL), straw (ST) burn material (BM), added two classes contrasting soils, Ferralsols (S1) Arenosols (S2). We...