Earth Sensing Summer School 2025
Earth Sensing Summer School 2025Thank you to the 100+ candidates that signed up for the Earth Sensing Summer School! Below the map with affiliations of the early stage researchers. Selection will proceed and shortlisted candidates will be notified by the provided date.
Description
The Earth Sensing Summer School trains early stage researchers and motivated higher education students in using Geomatics approaches for rigorous surveying, processing and representation of spatial data in different environments, from forestry to urban areas, and for different applications, e.g. forest management ecology, hydrogeological risk assessment.
Participatns will learn to use remote and close-range sensing technology for collecting data on the field with practical hands-on work, seminars and dissemination activities to peers.
Several challenges are proposed with assignments tackling different aspects of urban and natural environment - (see Team Challenges and supervisors for specific details).
Intended Audience
The Earth Sensing Summer School is designed for any motivated student at doctorate level; priority will be given to PhD students and post-docs, but motivated graduate students, young researchers and practitioners are welcome, provided they are passionate about the topics covered.
Important Dates
- 7 March 2025 - Registration deadline
25 March 20251 April 2025 - Communication of final decision of acceptance- 10 April 2025 - Deadline for payment for covering accommodation and meal fees - cancellation policy: no refund possible (but you can speak to the organizing team to find a solution, e.g. a substitute from the waiting list or proposed)
- 7-13 September 2025: Summer school!
Location
San Vito di Cadore - Italy - Dolomite Mountains
Registration
Accommodation and meals *: 550 Euro
*this fee covers full accommodation for 7 days - 6 nights, meals and access to all training material, lecture room, sensors etc…
Please REGISTER HERE.
Warning
Registration is via a Google form which requires to sign-in using a google account because you will be asked to upload some documents as specified below (CV, motivation letter, etc…). If you do not have a Gmail account please either (1) create one or (2) use an alternative registration form HERE or (3) download the registration form here and send it to us via email here with the requested attachments specified in the form (CV, motivation letter, etc…)
See important dates for other deadlines.
Upon registration, each applicant is requested to send:
a short motivation letter (max. 500 words)
a one page CV
an abstract of the participants’ current work (max. 2 pages, *.docx or *.odf).
Participants will be selected by a commission on the basis of the material provided upon registration.
Keynote speakers
Mauricio Acuna (LUKE - Finland) - Research Professor in Automation and AI in Forest Operations
Nicholas Coops (University of British Columbia - Canada) - Canada Research Chair in Remote Sensing, Department Head Forest Resources Management
Hans-Gerd Maas (Technical University Dresden - Germany) - Past President ISPRS Commission V (Close-Range Vision Techniques) and past Dean of the Faculty of Environmental Sciences, TU Dresden and chair of photogrammetry. Title: “Terrestrial photogrammetric techniques for glacier monitoring at high spatial and temporal resolution”
Michele Crosetto - (Centre Tecnològic de Telecomunicacions de Catalunya - CTTC Spain) - Head of the Geomatics Division CTTC. Advisor of ISPRS Working Group III/3 “Active Microwave Remote Sensing”
Seminars
- Carlos Cabo (University of Oviedo, Spain) - 3DFin tree parameter extraction from 3d point clouds
- Andrea Masiero (UNIPD) - NeRF and LiDAR-Based Plant Reconstruction
- Gherardo Chirici (Geomatics LAB - DAGRI University of Firenze) - Integration of multisensor remote sensing for mapping and modelling trees and forests.
- Roberto Pierdicca (Geomatics LAB - Polytechnic University of Marche) - GeoAI in the context of natural ecosystems.
- Stefano Chiodini / Giacomo Colombatti (CISAS -UNIPD) - Demonstrating a LiDAR-equipped Remote-Controlled UGV for Woodland Terrain Scanning
Sensors
- Stonex x120go portable SLAM
- Riegl VZ400
- DJI / Livox L1
- Micasense Altum multispectral/thermal camera
Sensors
Field work includes using sensors to collect data to be processed during the summer school.
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Sponsors and supporters
Sponsors
Supporting Academia and Scientific Societies
Team Challenges and supervisors
Each participant will select which challenge she/he prefers and be assigned to the team. We will try to assign everyone to their first choice.
Each challenge implies collecting field data with sensors and then processing it in the lab to reach the goal assigned by the supervisor with methodology chosen together with the students.
The teams will present their results the last day before the good-bye party!
A. Virtual 3d Forests for Foresters Challenge
Supervisors:
Anna Iglseder (TU Wien, Austria)
Carlos Cabo (University of Oviedo, Spain)
Measuring tree characteristics is crucial for planning harvesting, for forest management, for mapping fire risk, for estimating carbon removal etc… Field-work is costly and time-consuming. Geomatics and mobile sensors now provide an efficient tool to bring the forest to the office and apply recent AI-based methods to semI-automatically extract information.ù
B. Ground movement from RADAR InSAR Challenge
Supervisors:
Michele Crosetto - (Centre Tecnològic de Telecomunicacions de Catalunya - CTTC Spain) - ISPRS WG III/3
Rasoul Eskandari (Politechnic of Milano | Polimi · Department of Architecture, Built Environment and Construction Engineering)
Analyse a nearby movement detected by Copernicus’ Earth Ground Motion Service with refined remote sensing techniques.
C. Urban 3D modelling challenge
Supervisors:
Caterina Balletti (IUAV University in Venice, Italy) - ISPRS WG II/7
Andrea Martino (IUAV University in Venice, Italy)
Urban 3D modelling with mobile laser scanning
D. Remote Sensing and Environmental Modelling
Supervisors:
- Thomas Zieher (Department of Natural Hazards, Austrian Research Center for Forests (BFW) ) - ISPRS WG III/8
Integration of remote sensing data into physically-based water balance modelling of forest stands. Parameterize and apply a physically-based soil-vegetation-atmosphere-transfer (SVAT) model and integrate remote sensing data for deriving input parameters (and eventually validation) of forest stands.
E. GeoAI in Forest Environments
Supervisors:
Roberto Pierdicca (Università Politecnica delle Marche) - ISPRS WG III/8
Mattia Balestra (Università Politecnica delle Marche)
Local Organizing Committee
Francesco Pirotti
Stefano Grigolato
Erico Kutchartt
Larissa Granja
Veronica Manduca
Enrico Magazzino
Contacts
Click here to send an email to the organizing committe