Open Data Science Europe workshop 2022

Adam Tejkl

I'm a doctoral student at the Faculty of Civil Engineering. My dissertation focus on the evaluation of erosion risk of land using remote sensing methods, especially satellite scenes. Within this focus, it is also involved in the solution of the project QK1720289 "Development of an automated tool for optimizing the monitoring of agricultural soil erosion using distance methods" and TH02030428 "Design of technical measures for stabilization and protection of slopes against erosion". I'm also actively involved in activities around the laboratory and field rain simulator. Another of my field of expertise is measuring and developing measuring devices.

  • Identification of erosion rills via machine learning
  • Identification of erosion rills via machine learning II.
Angela Baker

Angela Baker is Data Access and Integration Programme Manager for EuroGeographics, an independent not-for-profit organisation representing Europe’s National Mapping, Cadastral and Land Registration Authorities. She has particular responsibility for facilitating access to members data by managing the production and provision of pan-European datasets, including the CEF-Funded Open Maps For Europe Project - an online gateway connecting users to free to use maps from official national sources.
Angela has worked in the Geospatial industry for over 20 years. She has a MA in Human Geography from Aberdeen University, an MSc in Cartography and Geo-information Technology from Glasgow University and is a Fellow of the Royal Geographical Society where she sits on the Professional Advisory Panel.

  • Open Maps for Europe: unlocking the value of pan European mapping datasets
Arzu Coltekin

Arzu Çöltekin is a professor of computer science in human-computer interaction (HCI) and extended reality (XR) at the Institute of Interactive Technologies of the University of Applied Sciences and Arts Northwestern Switzerland (FHNW). She is also a research affiliate at Harvard University’s Harvard-Smithsonian Center for Astrophysics, Seamless Astronomy group. Her interdisciplinary work covers topics related to information science, visual analytics, visualization and cartography, vision (perception and cognition), eye tracking, gaze-contingent displays, extended (virtual, augmented, mixed) reality, and human-computer interaction. She is an active member of several international organizations, e.g., the ICA (International Cartographic Association), the ISPRS (International Society for Photogrammetry and Remote Sensing) and the ISDE (International Society of Digital Earth). She serves as the co-chair of the Visual Analytics Commission for the ICA, and as the chair of the international working group on Geovisualization, Virtual and Augmented Reality of the ISPRS’ Spatial Information Sciences commission. Furthermore, she serves at the advisory board of the ‘data visualization Zurich’ initiative, digitAS national project in Austria, and is a council member with the International Society of Digital Earth.

  • Visualization, virtual reality and reproducibility: Challenges and opportunities
Carmelo Bonannella

Carmelo has a MSc in forest systems sciences and technologies, with a specialization in forest resources monitoring and management through geospatial data science applications and time series analysis.
Carmelo is a PhD Candidate at Wageningen University and Research (WUR) in the Geo-information Science and Remote Sensing program and works as a Research assistant at the OpenGeoHub Foundation

  • Forest species distribution modelling and spatial planning in R
  • Combining Machine learning and Earth Observation data for high resolution tree mapping: building a dynamic forest atlas for Europe
Chris van Diemen

This will be updated shortly.

  • Time-series analysis using the European Environmental Data Cube
Codrina Ilie

Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece of classical Latin literature from 45 BC, making it over 2000 years old. Richard McClintock, a Latin professor at Hampden-Sydney College in Virginia, looked up one of the more obscure Latin words, consectetur, from a Lorem Ipsum passage, and going through the cites of the word in classical literature, discovered the undoubtable source

  • Paving the way of using open source and open data in national reporting activities - Geo-harmonizer based use case
Daniel Žížala

01/01/2008 – Present Soil scientist

Research Institute for Soil and Water Conservation, Prague (Czechia)

2017 – today: Head of Remote Sensing and Pedometrics Lab
GIS and Remote Sensing analysis, data analysis, data mining, pedometrics and digital soil mapping,
precision farming, map server and web map services administrator, project management (researcher
responsible for solving research projects and contracts), processing and analysis of aerial and satellite
images, Spatial database management and processing of the data, Soil erosion modelling

2012–2018 Ph.D.

Czech University of Life Science Prague, Prague (Czechia)

Program: Agricultural Special Sciences
Thesis titled “Mapping of soil organic carbon redistribution in eroded soils using remote sensing and
digital soil maping methods” It is study on a quantitative assessment of soil organic carbon
redistribution by soil erosion using progressive methods of survey particularly remote sensing
methods and digital soil mapping methods.

2002–2008 MSc.

Charles University in Prague, Prague (Czechia)

Program: Physical Geography and Geoecology
Thesis titled “Analysis of Genesis and Activity of Slope Deformation Běleč in Context of Evolution of
the Svratka River Valley between Doubravník and Borač”. It was geomorphological study on analysis
of landscape evolution of the Svratka River Valley on the western Moravia in context of rock slope
instability in Běleč. Geomorphological and morphotectonical methods was used for landscape
evolution analysis and dendrogeomorphological methods was used for slope deformation activity
analysis.

  • Using Sentinel 2 data for spatiotemporal mosaic of bare soils creation and mapping soil properties using machine learning
Dominik Brétt

PhD. student at CTU in Prague

  • Leaf area index calculation options
  • Leaf area index calculation options II.
Eric Petermann

Eric Petermann works as a scientific officer at the Federal Office for Radiation Protection (BfS) in Germany in the field of mapping and predicting of environmental radioactivity (mainly radon) with an emphasis on machine learning techniques. He studied Geography, Geology and Geophysics at the University of Leipzig (Germany) and University of Canterbury (New Zealand). After graduation in 2011, he worked for two years for consulting companies in the fields of geophysical site assessment and land management. From 2014 to 2017 he worked as a doctoral researcher at the Helmholtz Centre for Environmental Research (Germany) in a project focusing on sustainable water management along the South African coast. His dissertation (2018 at Technical University Dresden), which was related to this project, focused on localization and quantification of groundwater discharge into the sea and into lakes using radionuclides and stable isotopes. In 2018, Eric Petermann joined the BfS.

  • Mapping of radon hazard and radon risk in Germany
Eva Matoušková
  • Geo-harmonizer AR/VR applications
Francis Matthews

I am a PhD researcher at KU Leuven and the JRC of the European Commission working on soil erosion and sediment delivery across the landscape in European agricultural landscapes. My work includes assessing the on-site consequences of soil erosion as a threat for soil health, as well as assessing the off-site effects of the consequential pollution. I focus on continental scale parametrisation methods, integrating open-source Earth observation, hydrological and monitored sediment data alongside other descriptive geospatial datasets in order to make dynamic simulations of soil erosion.

  • Utilising Sentinel-2 timeseries data at the field parcel scale to identify the temporal risk of soil erosion in European agricultural landscapes
Helena Mitášová
  • Spatio-temporal modeling of changing topographies: from point clouds to tangible interfaces
Jáchym Čepický
  • MapTiler Desktop and MapTiler Engine for big raster data processing
Jakub Vynikal

PhD student at CTU, department of geomatics

  • Processing old maps with the help of machine learning
  • Processing old maps with the help of machine learning II.
Jan-František Kubát

Hello,
I am a doctoral student from Czech Republic. My name is Jan-František Kubát
and my major is hydrological modelling.
However, this is my first year of study and it may still change.

  • Estimation of Saturated Hydraulic Conductivity Using Pedotransferic Function for Selected Catchments within the Czech Republic
  • Estimation of Saturated Hydraulic Conductivity Using Pedotransferic Function for Selected Catchments within the Czech Republic II.
Jana Bauerová
  • Open geodata in medical humanitarian operations of Doctors Without Borders
Jaroslav Nýdrle

Phd. student geomatics of CTU Prague

  • Leaf area index calculation options
  • Leaf area index calculation options II.
Jiří Pilař
  • European Commission’s data policy in 2022
Jitka Faugnerová
  • Changes in the landscape of the Czech Republic
John Wenzhong Shi

Wenzhong Shi is the Director of Otto Poon Charitable Foundation Smart Cities Research Institute of The Hong Kong Polytechnic University (PolyU), Director of PolyU-Shenzhen Technology and Innovation Research Institute (Futian), and Chair Professor in Geographic Science and Remote Sensing. He is Academician of International Eurasian Academy of Sciences, Fellow of Academy of Social Sciences (UK). He serves as President of International Society for Urban Informatics and Editor-in-Chief of International Journal of Urban Informatics.

Prof Shi is among the worldly top 2% cited researchers according to Elsevier BV and scholar in Stanford University. His latest research covers urban informatics for smart cities, geographic information science, AI-based remote sensing, spatial big data analytics and quality control, and mobile mapping and 3-D modelling.
He has won numerous accolades such as the Natural Science Award, China’s highest award for fundamental research; Wang Zhizhuo Award by ISPRS; Distinguished Scholar Prize by CPGIS; and Gold Medal in Geneva Invention Expo.

  • Deep Learning Methods for Land Cover Mapping Change Detection
Kristýna Žáková

Senior Business Consultant for Space, CGI IT Czech Republic s.r.o.

  • Free and Open Space Data in Business - yes or no?
Leandro Parente
  • Using SpatioTemporal Asset Catalog (STAC) in Python
  • Introduction to ODSE datasets in Python/QGIS
  • High performance computing in Python
Lucie Stará

PhD student at Department of Geomatics, CTU in Prague

  • Random forest classification based on selected CORINE land cover classes and Sentinel-2 data
  • Random forest classification based on selected CORINE land cover classes and Sentinel-2 data II.
Luděk Hloušek
  • Changes in the landscape of the Czech Republic
Luka Antonić
  • Geospatial deep learning in Python
  • Introduction to spatial and spatiotemporal data in Python
  • Deep learning competition - results
Lukáš Brodký
  • Working with harmonized LUCAS dataset
Markus Neteler

Markus Neteler, PhD, is a cofounder of mundialis after having spent 15 years as a researcher in Italy. His focus is on Earth Observation, GIS and cloud computing. Markus managed for two decades the GRASS GIS project, and he is a founding member of OSGeo and other organizations.

  • Working with Geo-harmonizer processing services
  • GRASS GIS 8 (Part 2): Processing multitemporal EO data
  • GRASS GIS 8 (Part 1): Introduction and new features
  • actinia: geoprocessing of GIS and EO data in the cloud
Martijn Witjes
  • Geospatial deep learning in Python
  • Spatiotemporal machine learning in Python
Martin Kýhos

PhD. student of photogrammetry and remote sensing

  • Using of virtual reality in underground spaces
  • Using of virtual reality in underground spaces II.
Martin Landa
  • Working with harmonized LUCAS dataset
  • Working with Geo-harmonizer processing services
  • GRASS GIS 8 (Part 2): Processing multitemporal EO data
  • GRASS GIS 8 (Part 1): Introduction and new features
  • Welcome session
  • Open Geospatial System for LUCAS In-situ Data Harmonization and Distribution
  • Closing
Michal Kačmařík

I work as an associate professor at the Department of Geoinformatics at the VŠB-Technical University of Ostrava. In the field of geosciences, I am mainly interested in GNSS and UAVs.

  • Developing solutions for automatic processing of Sentinel-1 imagery for monitoring applications
Milan Kilibarda
  • Introduction to Web Mapping Services
Ondřej Pešek
  • Working with Geo-harmonizer processing services
  • Geospatial deep learning in Python
Ondrej Pesek

A PhD student at the CTU in Prague

  • Urban Green Areas Classification Using Convolutional Neural Networks
  • Urban Green Areas Classification Using Convolutional Neural Networks II.
Paulina Raeva

Ph.D. candidate
open-source enthusiast
work on Photogrammetry and Remote Sensing projects

  • AquaLab - Geographic Information and Notification System for Water Reservoirs
  • AquaLab - Geographic Information and Notification System for Water Reservoirs II.
Pavelka Karel
  • Geo-harmonizer AR/VR applications
  • Visualization of landcover data sets using VR and AR technology
  • Visualization of landcover data sets using VR and AR technology II.
Pierre Soille
  • The JRC Big Data Analytics Platform (BDAP)
saleem Ibrahim

PhD student at the department of Geomatics, faculty of civil engineering, Czech technical university in Prague.

  • Extremely Randomized Trees Algorithm with Open Data to Estimate PM2.5 over Europe
Sardar Salar Saeed

Geospatial Analyst currently pursuing my Master's degree in Geo-Information Science and Earth Observation at the Department of Natural Resources, ITC- University of Twente.

  • Integrating Earth Observation Into Area Frame Sampling Approach For Improved Crop Production Estimates.
  • Integrating Earth Observation Into Area Frame Sampling Approach For Improved Crop Production Estimates II.
Stefan Blumentrath

Stefan Blumentrath works as a researcher at the Norwegian Institute for Nature Research (NINA) in the field of geospatial environmental modelling. He holds an engineer Ph.D. in environmental planning from the Gottfried Wilhelm Leibniz University of Hannover and a Diplom Engineer degree (equivalent to Master degree) in environmental planning from the Gottfried Wilhelm Leibniz University of Hannover. He has more than 15 years’ experience in advanced spatial analysis and modeling within the fields of ecology and environmental planning. Being an environmental planner by education, Stefan has a strong background in mapping- and valuation-methods used for environmental and spatial planning purposes, with a special focus on computer aided methods. In this context he acquired significant and broad ICT skills and also works on remote sensing for mapping ecosystem characteristics. Stefan is an active member of the OSGeo community and contributes to the development of Open Source Geospatial Software, mainly the GRASS GIS project where he is a member of the core development team since 2018.

  • Processing Climate and Satellite data with GRASS GIS 8
Tom Hengl
  • Time-series analysis using the European Environmental Data Cube
  • Spatiotemporal Ensemble ML in R
  • Introduction to spatial and spatiotemporal data in R
  • Building a soil data cube at 30-m resolution for Continental Europe (2000–2022+) using spatiotemporal Machine Learning
Tomáš Bartaloš

I am a long-term practitioner and senior expert in remote sensing, particularly qualified in data analysis, integration and processing of various EO data sources including UAS.

  • FOSS tools in UAS processing
Tomaš Bouček
  • Working with harmonized LUCAS dataset
  • Introduction to ODSE datasets in Python/QGIS
Tomáš Pajdla

Tomas Pajdla received the MSc and PhD degrees from the Czech Technical University in Prague. He works in geometry and algebra of computer vision and robotics, with emphasis on camera geometry, 3D reconstruction, and industrial vision. He contributed to introducing epipolar geometry of panoramic cameras, noncentral camera models generated by linear mappings, generalized epipolar geometries, and to developing solvers for minimal problems in structure from motion.
More information on the research interests and achievements can be found here http://people.ciirc.cvut.cz/~pajdla/.

  • Solving Camera Orientation in the Age of Machine Learning
Vojtech Cehak

Ph.D. student at the Czech Technical University in Prague. The field of study is 3D GIS data visualization and analysis, including procedural modeling or virtual reality.

  • Visualizing a vanished landscape using virtual reality
  • Visualizing a vanished landscape using virtual reality II.
Vojtěch Hron

Technical Consultant for Space, CGI IT Czech Republic s.r.o.

  • Stability monitoring based on Copernicus Sentinel-1 data
Youssef HOUALI

PhD Student specialized in GIS and Earth Observation, Engineer in GIS and Territory Management, Bachelor Degree in Applied Geomatics.

  • Extraction and Simulation of propagation of oil slicks on the sea surface: Case study of the Moroccan Exclusive Economic Zone
  • The Sentinel-1 SAR images: Useful data for the extraction of oil slicks on the sea surface. Case study of the Moroccan Exclusive Economic Zone II.