Foto del docente

Duccio Rocchini

Professore ordinario

Dipartimento di Scienze Biologiche, Geologiche e Ambientali

Settore scientifico disciplinare: BIO/03 BOTANICA AMBIENTALE E APPLICATA

Didattica

Ultime tesi seguite dal docente

Tesi di Laurea Magistrale

  • Analisi e approfondimento dell'effetto framing in ambito ecologico
  • Assessing flower cover through UAV multispectral imagery and machine learning model
  • Assessing the relationship between bee/flower diversity and vegetation structural heterogeneity through UAV photogrammetry
  • Climate-related proverbs and fisheries: a case study to analyze the perception of climate change in local communities.
  • Exploring the sources of sampling bias in the database sPlotOpen across Europe
  • Flower cover and bee diversity estimate by drone RGB images
  • From Pixels to Pollinators: Enhancing Conservation Strategies through UAV Imagery and Machine Learning in Evaluating Flower Cover and Bee Diversity
  • From-virtuality-to-reality: An alternative approach for testing occurrence- based temporal bias in Species Distribution Modelling
  • Fuzzy classification of satellite images
  • Geo-ecologia in terza dimensione: analisi del paesaggio e della biodiversità nella regione Calabria utilizzando telerilevamento e mappe 3d con r
  • In laboratorio con le muffe: ideazione e progettazione di due protocolli (didattico e divulgativo) presso l'Area Scuola della Fondazione Golinelli per esplorare aspetti chiave relativi alle muffe
  • Landscape Heterogeneity Challenges the Spectral Variation Hypothesis in Butterfly Biodiversity Estimation
  • Maps for everyone - Machine learning methods to change colours for colour blindness.
  • Non regular movements of non-breeding Mediterranean ospreys tracked by GPS-satellite telemetry
  • Preserving Biodiversity from Above: Remote Sensing and Machine Learning Approaches for Habitat Monitoring and Pollinators Protection.
  • Reliability Assessment of Cetacean Drone-Based Morphometry through Lidar and Barometric Sensors
  • Seeing like a bee: approaching bee diversity and flower cover estimation by UV drone images
  • Testing and analyzing the Fuzzy land cover maps in R
  • Testing Rao’s quadratic entropy facing different sensor and scales

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