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Sergio Marconi

Sergio Marconi

Currently Postdoc at University of Florida. Weecology PhD

University of Florida

Sergio studies how to convert remote sensing data into ecological information and using this information in large scale models of traits.

Interests
  • Quantitative Ecology
Education
  • Ph.D student in Interdisciplinary Ecology, 2021

    University of Florida

  • M.Sc. cum Laude in Forestry and Environmental Sciences, 2014

    University of Tuscia

  • B.Sc. cum Laude in Forestry and Environmental Sciences, 2010

    University of Tuscia

Latest

  • Data Carpentry for Biologists: A semester long Data Carpentry course using ecological and other biological examples
  • A benchmark dataset for canopy crown detection and delineation in co-registered airborne RGB, LiDAR and hyperspectral imagery from the National Ecological Observation Network
  • A remote sensing derived data set of 100 million individual tree crowns for the National Ecological Observatory Network
  • RandCrowns: A Quantitative Metric for Imprecisely Labeled Tree Crown Delineation
  • Cross-site learning in deep learning RGB tree crown detection
  • DeepForest: A Python package for RGB deep learning tree crown delineation
  • A data science challenge for converting airborne remote sensing data into ecological information
  • Individual tree-crown detection in RGB imagery using semi-supervised deep learning neural networks

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