EuroSDR Educational Service (EduServ) annually offers four two-week e-learning courses in the field of GeoInformation (GI). It is designed for knowledge transfer from the research to the production domain. Thus, it is mainly focused on participants from NMCAs and industry but also PhD students and researchers find the courses interesting as they always reflect latest developments in GI.
The 19th series of e-learning courses from EuroSDR will open on 1st and 2nd March 2021 with an online pre-course seminar. During the seminar (2 x 3 hours), the background material of four e-learning courses will be presented by the tutors, participants will have the possibility to discuss online with the tutors and fellow participants, and the learning platform – Moodle, will be demonstrated.
The four e-learning courses are scheduled from March till June 2021. They can be followed over the Internet from any location, thereby allowing participants to update their knowledge with minimum disruption. Courses require about thirty hours of online study.
You can download the flyer here.
Spatial Linked (Open) Data (pdf)
Tutors: Erwin Folmer (Kadaster and University of Twente), Stanislav Ronzhin (ITC, University of Twente, Kadaster), Rob Lemmens (ITC, University of Twente) and Wouter Beek (Triply, VU University, Kadaster)
This is an introductory course to Spatial Linked Open Data. Linked Open Data is a standards based approach for data interoperability. In this course we will teach the basic theory of Linked Data, and introduce the most important standards such as RDF. More in depth the topic of data modelling, vocabularies and ontologies will be elaborated as one of the key concepts of Linked Data. Although the concepts and technology is generic and not specific for spatial data we will discuss in particular the context of spatial data on the web. The second part of this course is split in a technical module and a business module. The business module will discuss the business case for linked data implementations based on the case study of the Dutch Kadaster, one of the earlier linked data implementations in Europe. The technical module will provide best practices how to convert data into linked data, and will be practical hands-on creating SPARQL queries.
Please note that the number of participants in the Spatial Linked (Open) Data course is limited to 40 (based on the confirmed fee payment)!
Dates: 8th – 19th March 2021
GeoBIM – Basic Principles and Use Cases (pdf)
Tutors: Claire Ellul (University College London), Lars Harrie and Per-Ola Olsson (Lund University)
There is an increasing awareness amongst practitioners in both the geospatial and Architecture Engineering and Construction (AEC) communities that enabling interoperability and moving towards integration of data from the two domains can provide benefits to sectors such as construction, asset management, safety and security, local and regional planning and building permit processes, national mapping agencies and many more.
Taking a data-driven perspective on interoperability and integration – i.e. looking at the integration of Building Information Modelling (BIM) and geospatial data - the course will provide a comprehensive overview of GeoBIM, starting from first principles - comparing BIM and Geo, identifying opportunities for using integrated data and challenges arising. Two case studies then give the opportunity to explore the topic more in depth – planning/permits processes and asset/facilities management. The course concludes by allowing students to explore GeoBIM in a wider context, as a location-enabled foundation for digital twins, smart cities and the internet of things.
Various examples from practical applications and hands-on practical work will illustrate the theory.
Please note that the number of participants in the GeoBIM course is limited to 30 (based on the confirmed fee payment)!
Dates: 12th – 23rd April 2021
Recent LiDAR technologies (detailed description will be available by the end of October)
Tutor: Gottfried Mandlburger (TU Vienna)
The course tackles the recent progress in Airborne Laser Scanning (ALS), the state-of-the technique for 3D mapping of topography and shallow water bathymetry, including the following topics:
Point density and spatial resolution: Higher scan rates in the MHz range increase the point density, which leads to an increased spatial resolution if, in addition, the laser footprint sizes match the point-to-point distance.
Full waveform analysis: State-of-the art FWF processing techniques enable higher measurement precision and better target characterization.
Multispectral Laserscanning: Scanners using laser wavelengths facilitate point classification by exploiting the radiometric content of the captured data.
Hybrid sensors: Scanners and cameras mounted on the same platform enable joint data orientation and processing of laser scans and image blocks.
Single Photon LiDAR: These new mapping sensors provide a higher area coverage performance at the prize of lower accuracy and higher outlier rate requiring robust point cloud filtering techniques.
Topo-bathymetric LiDAR: Beyond charting shallow coastal areas, laser bathymetry evolved to a powerful tool for high resolution mapping of the entire littoral area.
UAV-LiDAR: Sensor miniaturization and progress in aviation technology has opened new close-range airborne applications due to integration of lightweight LiDAR sensors on Unmanned Aerial Vehicles.
Please note that the number of participants in the Recent LiDAR technologies course is limited to 40 (based on the confirmed fee payment)!
Dates: 3rd – 14th May 2021
Working with Volunteered and Crowdsourced Geographic Information (pdf)
Tutors: Peter Mooney (Maynooth University) and Levente Juhász (Florida International University)
Up to recently geographic data was exclusively available from authoritative sources such as National Mapping and Cadastral Agencies, professional companies, etc. The rapid emergence of Volunteered Geographic Information (VGI) and Crowdsourced Geographic Information (CGI) has challenged and changed this situation. VGI and CGI have transformed from being considered ‘disruptive’ and poor quality to well-known mainstream data sources used widely in industry, research, and other applications. The goal of this course is to introduce participants to VGI (and CGI), the current state-of-the-art research in these areas, methods for obtaining VGI/CGI data (API sources, processing GeoJSON, etc), and advanced topics such as assessment of the quality of these data. Participants are informed that a basic knowledge of a programming language is required to complete some practical exercises and assessments. Free and open source software and openly accessible VGI/CGI will be used.
Dates: 24th May – 4th June 2021
400 € for pre-course seminar + 1 or 2 courses
500 € for pre-course seminar + 3 or 4 courses
Five scholarships will be available to fully cover the course fee. The scholarships are intended to Ph.D./Master students and other applicants with no or very limited financial support from their university or public institution. Successful completion of at least two courses is expected from successful applicants.
In order to proceed with the application:
- Register to EduServ.
- Fill in the application form that includes a motivation letter, information about professional experience and calculation of travel costs. It is recommended to support the application with a reference letter. Both documents shall be submitted to firstname.lastname@example.org not later than on 29th January 2021.
Applicants will be informed about the acceptance/rejection of their application latest on 5th February 2021. Successful applicants from previous years will be automatically excluded from the evaluation.
10:00 - 10:10
Welcome from EuroSDR
10:10 - 11:30*
Introduction to the course Linked data
11:30 - 12:50*
Introduction to the course GeoBIM
12:50 - 13:00
Presentation of the Moodle Learning Management System
2nd March 2021
10:00 - 10:10
Questions from day 1
10:10 - 11:30*
Introduction to the course Recent LiDAR technologies
11:30 - 12:50*
Introduction to the course Working with Volunteered and Crowdsourced Geographic Information
12:50 - 13:00
Evaluation and closing the seminar
* Each session includes a discussion on the topic based on materials sent prior to the seminar.
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