Earth Sensing LAB | THESIS

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========== work in progress ========

The following are potential topics for thesis that can be supervised by our team. Contact francesco.pirotti@unipd.it or the specific contact for further information.

Deep learning

Riconoscimento di elementi forestali mediante deep learning su immagini da smartphone

Forest element detection using deep learning on smartphone images

Continuation of thesis of Mr. Alessandro Carmelo using YOLO software in one of our HPC machines.

Spatial analysis

Get a deeper understanding of phenomena by using the well-known principle “nearby features probably have more similar values than far away features”.

Earth observation

Use satellite imagery and derived products for:

land cover analysis

ground motion measurement

air quality assessment

species distribution modelling

3d point cloud collection and feature extraction in forestry

digital twins

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