A5078789514- Soil Geostatistics and Mapping
- Geochemistry and Geologic Mapping
- Soil erosion and sediment transport
- Soil and Land Suitability Analysis
- Mineral Processing and Grinding
- Urban Arborization and Environmental Studies
- Soil Carbon and Nitrogen Dynamics
- Agriculture, Land Use, Rural Development
- Urban Development and Societal Issues
- Urban Green Space and Health
- Forest Biomass Utilization and Management
- Agricultural and Food Sciences
- Land Rights and Reforms
- Leaf Properties and Growth Measurement
- Environmental Impact and Sustainability
- Environmental and biological studies
- Urban and sociocultural dynamics
- Geography and Environmental Studies
- Biofuel production and bioconversion
Brazilian Center for Research in Energy and Materials
2022
Universidade Estadual de Campinas (UNICAMP)
2018-2022
Universidade de São Paulo
2015-2020
Brazilian Biosciences National Laboratory
2020
Universidade Estadual Paulista (Unesp)
2018
Brazilian Agricultural Research Corporation
2015
Methodist University of Piracicaba
2015
Planta
2014
The mapping of soil attributes provides support to agricultural planning and land use monitoring, which consequently aids the improvement quality food production. Landsat 5 Thematic Mapper (TM) images are often used estimate a given attribute (i.e., clay), but have potential model many other attributes, providing input for applications. In this paper, we aim evaluate Bare Soil Composite Image (BSCI) from state São Paulo, Brazil, calculated multi-temporal dataset, study its relationship with...
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...
The search for sustainable land use has increased in Brazil due to the important role that agriculture plays country. Soil detailed classification is related with texture attribute. How can one discriminate same soil class different textures using proximal sensing, as reach surveys, planning and increase crop productivity? This study aims evaluate a regional spectral library its usefulness on classification. We collected 3750 samples covering 3 million ha within strong variations São Paulo...
Abstract This study assesses the environmental potential of crop residues and techno‐economic biojet fuel (BJF) production in Brazil. Different routes are evaluated from two types biomass (sugarcane straw eucalyptus harvest residue), four different technological pathways (alcohol to jet, Fischer–Tropsch, hydrothermal liquefaction pyrolysis). The is determined utilizing spatio‐temporal projections land‐use change Brazil by explicitly modeling erosion risk soil organic carbon (SOC) balance...
Intensive cropland expansion for an increasing population has driven soil degradation worldwide. Modeling how agroecosystems respond to variations in attributes, relief and crop management dynamics can guide conservation. This research presents a new approach evaluate loss by water erosion using the RUSLE model Synthetic Soil Image (spectroscopy technique), which uses time series remotely sensed environmental, agricultural anthropic variables, southeast region of São Paulo State, Brazil. The...
Minimizing environmental impacts and increasing crop productivity depend mainly on the knowledge of chemical, physical mineralogical characteristics soil attributes. However, traditional methods are time-consuming costly. The objective this study was to determine validate a method quantify attributes using UV-Vis-NIR Spectroscopy as an alternative conventional analyses. work comprised two main phases: (1) creation calibration statistical models derived from spectral data extracted samples...
Campinas Metropolitan Region is the third richest city in Brazil. This study assesses urban street trees of based on data from a survey performed using satellite images year 2011. All public domain system were counted and separated into trees, shrubs, palm seedlings. The density was obtained census expressed as per linear kilometer for perimeter block. number grouped nine classes different densities validation. final estimated validation’s results. Gini coefficient shows that person very...
Geospatial soil information is critical for agricultural policy formulation and decision making, land-use suitability analysis, sustainable management, environmental assessment, other research topics that are of vital importance to agriculture economy. Proximal Remote sensing technologies enables us collect, process, analyze spectral data retrieve, synthesize, visualize valuable geospatial multidisciplinary uses. We obtained the class map provided in this article by processing analyzing...
Existe a necessidade de avaliar importância do relevo associado aos parâmetros espectrais solos como base no mapeamento. O objetivo deste trabalho foi determinar um método detecção limites por meio da interação dados e formas relevo. Foram percorridas 14 topossequências representativas uma área 13.000 ha próxima dos municípios São Carlos Araraquara, SP. As amostras foram caracterizadas pelos métodos convencionais análise química granulométrica. Posteriormente, obtidos 400 2.500 nm....