Sergio Marconi

Currently Principal Remote Sensing Scientist & Geospatial Engineer at Terra Global Capital. 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

Capturing long-tailed individual tree diversity using an airborne imaging and a multi-temporal hierarchical model
Improving Rare Tree Species Classification using Domain Knowledge
Capturing long-tailed individual tree diversity using an airborne multi-temporal hierarchical model
Continental-scale hyperspectral tree species classification in the United States National Ecological Observatory Network
Data Carpentry for Biologists: A semester long Data Carpentry course using ecological and other biological examples
Injecting Domain Knowledge Into Deep Neural Networks for Tree Crown Delineation
Sensor Fusion for Superpixel Oversegmentation
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
Data science competition for cross-site delineation and classification of individual trees from airborne remote sensing data
Disentangling the roles of inter and intraspecific variation on leaf trait distributions across the eastern United States
Estimating individual-level plant traits at scale
Randcrowns: A quantitative metric for imprecisely labeled tree crown delineation
A benchmark dataset for individual tree crown delineation in co-registered airborne RGB, LiDAR and hyperspectral imagery from the National Ecological Observation Network
Cross-site learning in deep learning RGB tree crown detection
DeepForest: A Python package for RGB deep learning tree crown delineation
NEON Crowns: a remote sensing derived dataset of 100 million individual tree crowns
A data science challenge for converting airborne remote sensing data into ecological information
Geographic generalization in airborne RGB deep learning tree detection
Individual tree-crown detection in RGB imagery using semi-supervised deep learning neural networks
Measuring impact of climate change on tree species: analysis of jsdm on fia data