Post-Conference Workshop | WS05    View all workshops

DroneSOM - Mineral Exploration Mapping Tools Using Machine Learning and Drone Geophysics

Date: October 1, 2024

Time: 8:00am - 4:00pm

Location: Mövenpick Hotel Windhoek | Windhoek, Namibia

Presenters: Andreas Knobloch, Ina Storch, Johanna Pesonen, Bijal Chudasama, René Forsberg, Ari Saartenoja, Longying Xiao, and Cedric Patzer

Attendee Maximum: 40

20% of spaces are reserved for students and recent graduates, and are offered at a discounted rate.

Fees and Registration


The workshop will showcase how drone geophysics and machine learning techniques can be effectively used for mineral predictive mapping and exploration targeting. Firstly, novel gravity and electromagnetic sensor integrations into drones will be presented with use cases and results from Europe and Africa. Secondly, a practical hands-on training for exploration geologists on machine learning techniques such as self-organizing maps and artificial neural networks applied to drone geophysics will be provided.

The workshop will provide best practices, new ideas and insights in mineral exploration, especially with regards to application of the drone-based geophysics for mineral predictive mapping.

Key workshop take-aways are:

  • How to plan and run a drone-based geophysical survey and what sensors are available
  • How to process and interpret electromagnetic and gravimetric data
  • How to run mineral predictive mapping workflow
  • How to use software for mineral predictive mapping

The workshop is a joined effort by experts from the Geological Survey of Finland (GTK), Radai Oy, DTU Space and Beak Consultants GmbH in the frame of the "DroneSOM" research project, co-funded by EIT Raw Materials.

The workshop will consist of a series of presentations and demonstrations. The presentations will be informal and fluid to maximize engagement of the participants. Open question and discussion throughout the presentation sessions will be an integral part of the short course. Between these sessions, the audience will be engaged through a question-and-answer sessions. In addition, software demonstrations and hands-on training for selected software packages and tools will be provided.

Lunch will be provided, and all attendees will receive certificates of participation.

About the Presenters


Andreas Knobloch

Beak Consultants GmbH

Andreas studied Geology at Technical University Bergakademie Freiberg and South Dakota School of Mines and Technology from 1998 to 2004. He joined Beak Consultants GmbH in 2005 and has been a project manager in various mineral exploration projects, among others in Kosovo, Rwanda, Uganda, Namibia, DR Congo and Nigeria. Since 2007, his research is focusing on application of artificial intelligence for mineral predictive mapping. Currently, he is leading related work packages in the Horizon 2020 project "GoldenEye" and the Horizon Europe project "EIS – Exploration Information System." Since January 2023, he is Managing Director of Beak Consultants GmbH.


Ina Storch

Beak Consultants GmbH

Ina earned a Master's in Geophysics from TU Bergakademie Freiberg in 2010. Subsequently, she pursued a Ph.D. in Geophysics at the same institution from 2011 to 2021, focusing on controlled source deep seismic imaging at the North Chilean subduction zone, which she obtained in 2022. Currently, she contributes as a software developer and geoscientist at Beak Consultants GmbH, engaging in diverse commercial and research projects since 2021. As of 2023, Ina Storch leads the team behind the in-house developed advangeo® prediction software for 2D and 3D geospatial data.


Johanna Pesonen

Geological Survey Finland (GTK)

Johanna, Ph.D., Senior Researcher, has educational and research background in physics and astronomy and more than ten years of experience in geoscientific research. During 2000-2019, she has worked in both astronomical and geoscience research projects in research institutes and business sector. Since 2019, she has been working at the Geological Survey of Finland as an expert in data analysis and multivariate data integration of different types of geoscientific data. Her aim is to develop new methods for data analysis and to make these methods available to the geoscience research community in form of easy-to-use software tools.


Bijal Chudasama

Geological Survey Finland (GTK)

Bijal is a Senior Scientist at the Geological Survey of Finland. She has educational background in geology (M.Sc., 2014), and in geoinformatics and applications of machine learning methods to different geological research domains (Ph.D., Indian Institute of Technology Bombay, India, 2019). Her main research area is exploration targeting of mineral deposits using GIS-based mineral prospectivity analysis that involves a complex workflow of mineral systems modelling, geoscientific data processing, spatial data analysis, pattern recognition and integration of regional-to-deposit-scale geophysical, geochemical, earth observation and geological datasets using statistical and machine learning methods. She is also involved in development of open-source tools for geoscience research and demonstrating the scientific applicability of new tools and methods in practical use case studies.


René Forsberg

DTU Space Denmark

René is a research scientist and Section Head at the Danish National Space Institute (DTU-Space). He has more than thirty years of experience at the National Survey and Cadastre of Denmark, as the State Geodesist responsible for physical geodesy and seismology. René is a member of the European Space Agency (ESA) Advisory Committee for Earth Observation (ACEO), Chairman of Danish National Scientific Committee on Antarctic Research (SCAR), advisory board member of the International Service for the Geoid, a component of the International Association of Geodesy (IAG) and former Chairman of the International Gravity Field Service (IAG).


Ari Saartenoja

Radai Oy Finland

Ari has over 10 years of experience as a CEO of Radai Ltd, and over 20 years of experience in project management, customer service, technical development and team management. Ari is a founder of the company Radai Oy. He has been developing new innovative geophysical survey systems for drones since 2012. He graduated from the University of Oulu in 1998, and has a Major in Applied Mathematics.


Longying Xiao

Geological Survey Finland (GTK)

Longying is an expert in numerical modeling and inversion of electromagnetic data. She obtained her Ph.D. (2022) from Aarhus University, Denmark. During her doctoral study, she developed a 3D inversion algorithm of time-domain electromagnetic method (TEM) data, as well as time-lapse inversion. Longying joined GTK after graduation as a research scientist, currently working largely on developing 3D inversion methods for drone-based electromagnetic data.


Cedric Patzer

Geological Survey Finland (GTK)

Cedric's main research area focuses on computational aspects of electromagnetic (EM) methods in particular using active source (CS) methods. During his doctoral thesis at Freie Universität Berlin, Germany in collaboration with the GeoForschungsZentrum Potsdam, Germany (GFZ) he worked on time-lapse inversion methods with controlled source electromagnetics (CSEM). After receiving his Ph.D. in 2019, he continued his work in computational electromagnetics at GFZ Potsdam using controlled source magnetotelluric method. In 2021, he joined the Geologic Survey of Finland (GTK) further developing all aspects of the CSEM method.

Schedule (Preliminary)

Tuesday, October 1

  • 8:00am - 9:00am: Drone geophysics using gravity sensor for gravity field measurements
  • 9:00am - 10:00am: Drone geophysics using electro-magnetic sensor for EM field measurements
  • 10:00am - 12:00am: "GisSOM" open-source software for integrating and clustering geospatial data
  • 12:00pm - 1:00pm: Lunch (meals will be provided for participants)
  • 1:00pm - 3:00pm: "advangeo® 3D" prediction software for integration of 3D geological and geophysical field data
  • 3:00pm - 4:00pm: 3D geophysical inversion algorithm for generating 3D models from processed drone geophysical data


Early Deadline: July 22, 2024
Regular Deadline: September 12, 2024

  Early Regular
SEG Professional Member US$395 US$495
SEG Student and Recent Graduate Members US$95 US$145
Non-member US$595 US$695
All prices are in United States dollars (USD). SEG reserves the right to cancel this event should minimum attendance numbers not be met by July 22, 2024. All registrants will be given a full refund should SEG cancel the workshop. Cancellation policy, event photography, dietary restrictions, and more are detailed in the SEG Conference terms and conditions.