H2020-MSCA-RISE-2016innoVation in geOspatiaL and 3D daTA – VOLTA, H2020-MSCA-RISE-2016 Ref. GA No. 734687.

Project leader: Fondazione Bruno Kessler (FBK): Dr Fabio Remondino

Partners: Gottfried Wilhelm Leibniz Universitaet Hannover (LUH), Technische Universität Wien (TUW), University of Warsaw (UW), Delft University of Technology (TUD), Institut National de l’Information Géographique et Forestière (IGN), Ordnance Survey (OS), Institut Cartogràfic i Geològic de Catalunya (ICGC), Centrul National De Cartografie (CNC), Geodetski Zavod Celje, D.O.O. (GZC), Vermessung AVT ZT GmbH (AVT), Vexcel Imaging GMBH (VIG), Geoimaging LTD (GEO)

The term of the project: 01.06.2017-31.05.2021


Geodata are datasets that have a spatial, temporal and thematic aspect to describe phenomena and processes in time, space and topic. Geodata, or geospatial data, are nowadays collected and produced with various sensors and techniques which provide for images, 3D point clouds, thematic maps, etc.
Geodata are used in many Geosciences and for various applications such as urban planning, territorial management, damage assessment, environmental monitoring, 3D city modelling, renewable energy assessment, land registry, heritage documentation, etc. Despite a growing market, a large number of applications, a vast series of publications and various acquisition and processing techniques, there are still many unresolved research questions on the automation of processing procedures, and on how to make them more reliable, powerful and scale-invariant. Moreover, an efficient availability, access and use of geospatial data are often missing. This hinders the growth of new applications and societal welfares. Progress in provision of efficiently and effectively derived 3D geospatial information is thus the key to more comprehensive, faster and better exploitation of geodata, for the benefit of individuals and societies. Last but not least, new occupations are emerging in the geospatial industry which requires capacity building for developing new applications of geospatial technologies.

The VOLTA project, through secondments, training activities and networking, will facilitate knowledge exchange and career progresses in the geospatial field. The project will develop innovative solutions to:

  • automatically provide metric information from images,
  • fuse heterogeneous data coming from various sensors,
  • segment 2D and 3D geospatial data
  • process large geospatial datasets in the Cloud.

The project shares and exploits the complementary expertise of the partners to produce and transfer new skills and innovative solutions for mapping agencies and geospatial companies.


  • Dr. Marlena Kycko, Institut Cartogràfic i Geològic de Catalunya (ICGC), Spain, 2018/09/17-2018/11/16, WP3: Data & sensor integration.
  • Dr. Anna Zmarz, Vermessung AVT ZT GmbH (AVT), Austria, 2018/01/08-2018/04/07, WP2: Automation in photogrammetry.



M.Sc. thesis:

  • Assessment of Sentinel-2 satellite images for mapping of forests in Gabon (Ocena przydatności obrazów satelitarnych Sentinel-2 do kartowania lasów Gabonu). Supervisors: Dr. Eng. Agata Hościło, Dr. hab. Bogdan Zagajewski. Reviewer: Dr. Edwin Raczko. MSc. exam: 17.09.2018, (details).
  • Assessment of nonparametric algorithms for deadwood identification on the HySpex hyperspectral aerial image (Ocena przydatności nieparametrycznych algorytmów do identyfikacji posuszu na obrazie lotniczym hiperspektralnym HySpex). Supervisor: Dr. hab. Bogdan Zagajewski. Reviewer: Dr. Edwin Raczko. MSc. exam: 16.07.2018, (details).


  • Geoinformatyczna Noc Badaczy (Researches’ Night), 28 September 2018, Warsaw, Poland.
  • 1st EARSeL Workshop UAS “UAS for mapping and monitoring”, September 05-07, 2018 in Warsaw, Poland.
  • ISPRS Symposium „Towards Photogrammetry 2020”, 3-7 June 2018, Riva del Garda, Italy:
    • Zagajewski B., Płaza I., Jarocińska A., Sławik Ł., Błońska A., Nowak T., Tokarska-Guzik B., Sabat-Tomala A., Kycko M. Assessment of airborne hyperspectral HySpex images and ALS data for the identification of Natura 2000 habitat 6520: Mountain Yellow Trisetum and Bent-grass Hay Meadows (Polygono-Trisetion and Arrhenatherion), ID: 124, session: ICWG II/III – Pattern Analysis in Remote Sensing,
    • Kycko M., Zagajewski B., Jarocińska A., Sabat-Tomala A., Raczko E., Sławik Ł., Pasierbiński A., Folcik Ł., Błońska A., Nowak T., Tokarska-Guzik B. Identification of the expansive species Rubus spp. using the Random Forest and Support Vector Machines algorithm, ID: 156, session: ICWG II/III – Pattern Analysis in Remote Sensing,
  • 5th GIS Forum (V Forum GIS), 28 February, 2018, University of Warsaw, Faculty of Geography and Regional Studies, Warsaw (photos, programme in Polish),
  • Geoinformatyczna Noc Badaczy (Researches’ Night), 29 September 2017, Warsaw, Poland (photos),
  • Kick-off meeting, 6-7 June 2017, Hannover, Germany,