Personale docente

Francesco Pirotti

Ricercatore universitario confermato

AGR/05

Indirizzo: VIALE DELL'UNIVERSITÀ, 16 - LEGNARO PD . . .

Telefono: 0498272710

Fax: 0498272750

E-mail: francesco.pirotti@unipd.it

  • Il Mercoledi' dalle 9:00 alle 18:00
    presso Studio del docente: ultimo piano - prima stecca - Dip.to TESAF - Agripolis
    Prendere prima appuntamento contattando il docente via email.

Francesco Pirotti's research interests are in remote sensing applications for forestry and the environmental sciences, natural hazards and risk, in particular using laser scanning (lidar) data. He uses collaborative web solutions for applying new algorithms to large remote sensing datasets. He has also investigated full-waveform lidar data for forestry applications. He is in several national and international scientific committees and research groups related to geomatics.
He teaches remote sensing and geographic information systems in higher-education and holds several connected external courses.

He is author of 90+ articles in national and international journals; 82 of which peer-reviewed scientific journals.

Part of Editorial Board for the following Journals:
- Remote Sensing Applications: Society and Environment (Elsevier)
- Geomatics Natural Hazards and Risk (Taylor and Francis)
- Applied Geomatics (Springer)
- Bollettino SIFET (Società Italiana di Fotogrammetria e Topografia)
- ISPRS Journal of Photogrammetry and Remote Sensing (Elsevier) [2012-2016]

Active reviewer in the following journals:
- ISPRS Journal of Photogrammetry and Remote Sensing (outstanding contributor)
- Remote Sensing of Environment
- Geomatics, Natural Hazards and Risk
- International Journal of Applied Earth Observation and Geoinformation
- Methods in Ecology and Evolution
- IEEE Geoscience and Remote Sensing Letters
- Forests
- Remote Sensing
- Canadian Journal of Remote Sensing
- Canadian Journal of Forest Research
- European Journal of Remote Sensing
- Applied Geomatics
- iForest

Guest Editor for the following special issues/proceedings: Name of Special Issue (journal name - editors):
- “Open science for Earth remote sensing: latest developments in software and data” – invited guest editor of special issue (Journal of Open Geospatial Data, Software and Standards – Springer).
- Laser Scanning 2013 - ISPRS Workshop (Annals of ISPRS - Copernicus)
- The Role of Geomatics in Hydrogeological Risk: (Geomatics Natural Hazards and Risk -Taylor&Francis) - 2015
- Proceedings of the ISPRS Workshop in "The Role of Geomatics in Hydrogeological Risk": (Archives of ISPRS -Copernicus) - 2013

Organizing / Scientific committee for the following conferences/workshops
- ISPRS Congress, Prague,Czech Rep., June 2016
- ISPRS GeoSpatial Week, La Grande Motte, France, September 2015
- ISPRS TC V Symposium, Riva del Garda June 2014
- ISPRS “Laser Scanning 2013” Antalya, Turkey, November 2013
- “The Role of Geomatics in Hydrogeological Risk” Padova, Italy, February 2013.

Other roles:
- 2016 - 2020: Co-chair of ISPRS Working Group III/10 "Remote Sensing for Agriculture and Natural Ecosystems Modeling and Monitoring"
- 2012 - 2016: Secretary of ISPRS Working Group V/3 "Close range sensing"
- Scientific committtee in SIFET the Italian Society of Photogrammetry and Topography (2015 - )
- Organizing and scientific Committee of "Innsbruck Alpine Summer School 2015 - Close Range Sensing Techniques in Alpine Terrain" c/o ISPRS and University of Innsbruck (2014-2015)
- Scientific committee in NASA WW Europa Challenge 2014 as part of the mentor of the participating teams.
- NASA World Wind Europa Challenge 2013 mentor of winning team on project "Air-Quality Data 3D Visualization".

Le attività di ricerca riguardano l'analisi di dati da remote sensing mediante strumenti implementati su piattaforma informatica (GIS/WebGIS). Le seguenti parole chiave indicano i miei interessi:
telerilevamento, analisi dati LiDAR, Sistemi Informativi Territoriali (SIT/GIS/WebGIS), Spatial Data Infrastructures, Airborne Laser Scanner

Contattatemi per tesi su questi temi:

(i) Implementazione di moduli di analisi mediante WebGIS basato su piattaforma NASA World Wind (richiesta una minima conoscenza di programmazione in JAVA). Le analisi possono essere di diverso genere, trattasi quindi di un approccio multidisciplinare e tesi che può essere pensata in collaborazione con altri gruppi / dipartimenti

(ii) Laser scanner terrestre/aereo + telerilevamento ottico passivo applicato alla stima di variabili forestali. Correlare/modellare metriche estratte dai dati lidar + dati di riflettanza con variabili di interesse forestale (struttura, volume, biomassa ....)

(iii) sistemi informativi applicati alla gestione ed analisi di dati forestali / ambientali - tesi generiche sull'utilizzo ottimale di nuove tecnologie (geodatabase) per analizzare dati.


La conoscenza di un linguaggio di programmazione e/o pacchetti software di statistica (R) è un valore aggiunto.