Michele Dalponte is a forestry remote sensing expert and Head of the Forest Ecology Unit at Fondazione Edmund Mach, combining over a decade of applied research with leadership in ecological monitoring. He holds a PhD in Information and Communication Technologies from the University of Trento and has pioneered the integration of hyperspectral and LiDAR data for single-tree biophysical parameter estimation and forest classification. Michele's career includes international postdoctoral work at Cambridge, Stanford and UBC and a Marie Curie fellowship, reflecting strong collaborations across tropical and temperate forest research. A regular peer reviewer for top remote sensing journals, he blends rigorous pattern-recognition methods with field-relevant outcomes such as stem volume and tree height estimation. Outside the lab he is an avid hiker and photographer, often documenting forest structure from the ground and the air.
10 years of coding experience
2 years of employment as a software developer
PhD, Remote Sensing, PhD, Remote Sensing at Università di Trento
LIDAR remote sensing, LIDAR remote sensing at The University of British Columbia
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Michele Dalponte - Head Of Unit at Fondazione Edmund Mach