Greice C. Mariano

ORCID: 0000-0003-0084-1830
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About
Contact & Profiles
Research Areas
  • Species Distribution and Climate Change
  • Remote Sensing in Agriculture
  • Data Visualization and Analytics
  • Leaf Properties and Growth Measurement
  • Geography and Environmental Studies
  • Plant and animal studies
  • Geographic Information Systems Studies
  • Superconducting Materials and Applications
  • Transportation Planning and Optimization
  • Urban Transport and Accessibility
  • Fusion materials and technologies
  • Urban Design and Spatial Analysis
  • Human Mobility and Location-Based Analysis
  • Ecology and Vegetation Dynamics Studies
  • Nuclear Physics and Applications

Ontario College of Art and Design
2020-2021

Samsung (Brazil)
2021

Universidade Estadual de Campinas (UNICAMP)
2016-2019

The application of digital cameras to monitor the environment is becoming global and changing way phenological data collection. technique repeated photographs plant phenology (phenocams) has increased due its low-cost investment, reduced size, easy set up installation, possibility handling high-resolution near-remote data. Considering widespread use phenocams worldwide, our main goals here are: (i) provide a step-by-step guide for phenocam in tropics, reinforce appliance as an efficient tool...

10.1016/j.pecon.2017.06.004 article EN cc-by-nc-nd Perspectives in Ecology and Conservation 2017-04-01

The huge amount of multivariate temporal data that has been produced in several applications demands the creation appropriate tools for analysis and pattern characterization change. This paper introduces a novel image-based representation, named Change Frequency Heatmap (CFH), to encode changes numerical data. method computes histograms change patterns observed at successive timestamps. We validate use CFHs through tool support complex plant phenology analysis, concerning life cycle multiple...

10.1109/escience.2017.44 article EN 2017-10-01

Increasingly, researchers studying plant phenology are exploring novel technologies to remotely observe changes over time. The increasing use of phenocams monitor leaf phenology, based on the analysis indices extracted from sequences daily digital vegetation images, has demanded development appropriate tools for data visualization and analysis. Here, we describe RadialPheno, a tool that uses radial layouts represent time series repeat photographs, applies them leafing patterns exchange...

10.1002/aps3.1253 article EN cc-by Applications in Plant Sciences 2019-06-01
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