Open Data Science Europe Workshop 2021

Abdelkrim Bouasria

Bsc in applied geoinformatics, Msc in natural resources management and sustainable development, PhD candidate in Digital Soil Mapping using remote sensing data and Machine learning

  • Spatio-temporal analysis of cropping intensification in western Morocco
Angelos Tzotsos
  • Open Source Geospatial Foundation (OSGeo)
Benedikt Gräler

Benedikt is a Spatial Data Scientist with an original background in Mathematics and holding a PhD in Geoinformatics. He is one of the General Managers of the 52°North Spatial Information Research GmbH and responsible for the company's research activities. His ambition is to research spatial data to turn it into relevant information empowering solutions.

  • Spatial Information Infrastructures to Reduce the Global Maritime Transport Emissions
Branislav Bajat

Dr. (Mr.) Branislav Bajat is a professor in the Department of Geodesy and Geoinformatics, Faculty of Civil Engineering, University of Belgrade. His main research area is the application of novel spatial and spatio-temporal statistical methodologies in geosciences and environmental disciplines. His experience includes the application multi- and interdisciplinary research on spatial knowledge in environmental sciences; GI research based on commercial and open source tools; application of data mining and machine learning techniques to spatio-temporal data.

  • CERES project- Earth Observation-based information for “smarter” agriculture and carbon farming
Carmelo Bonannella

Carmelo is a research assistant at the OpenGeoHub (OGH) foundation and a PhD Candidate at the Geo-information Science and Remote Sensing (GRS) group of Wageningen University & Research (WUR).
Carmelo has a background in forestry science, with a specialization in forest resources monitoring and management through a combination of geospatial data science applications, time series analysis and machine learning solutions.

  • High resolution predictions of potential and actual distribution of forest tree species for Europe (2000-2020) based on spatiotemporal Machine Learning
Chris van Diemen
  • Spatiotemporal machine learning in Python (Part 1)
  • Spatiotemporal machine learning in Python (Part 2)
  • Visualizing two decades of land use changes in Europe
Claudia Vitolo
  • Open data and tools for global wildfire danger forecasting
Codrina Ilie

Codrina Ilie is a technical geographer, an open source GIS power user, actively working in improving open data services development at Terrasigna. In the last 4 years, her work has been divided between open data initiative development and geodata standardization and interoperability. In her 8 years of activity, Codrina has essentially focused on using open source GIS solutions for data management, processing and visualization. As an advocate for foss4g, since 2010 she has been a volunteer trainer in the Romanian geospatial community, geo-spatial.org. Since 2013, Codrina has been a Charter Member of the OSGeo.

  • An interactive understanding of the free and open source geospatial ecosystem
  • Discussion panel: How to secure sustainability of an open data project?
  • The Open Data paradigm - altruism or a way forward?
Coffee break
  • Coffee break
  • Coffee break
  • Coffee break
  • Coffee break
  • Coffee break
  • Lunch break
  • Lunch break
  • Lunch break
Dragutin Protic
  • AgriCaptureCO2 - digital platform to support regenerative agriculture
Freja Vamborg

Freja is a senior scientist for C3S at the European Centre for Medium-Range Weather Forecasts (ECMWF), Freja leads activities that provide the ‘final’ links in the long chain from raw data through to climate information and knowledge. She has a special responsibility for communicating climate information to a wider audience. Freja has been the lead author of the European State of the Climate report since its first edition published in 2018. This annual report, which is part of C3S' climate monitoring activities, provides an analysis of Europe for the past calendar year, with descriptions of climate conditions and events. It also explores the associated fluctuations in key climate variables and indices from across all parts of the Earth system. Further, the ESOTC gives updates on key global climate indicators for Europe and the rest of the world.
Affiliation: Senior researcher at Copernicus Climate Change Service (C3S) / ECMWF
URL: https://climate.copernicus.eu/

  • The European State of the Climate - from data to information and back
Gilberto Camara

Researcher in GIScience, Geoinformatics, Spatial Data Science and Land Use Change at Brazil’s National Institute for Space Research (INPE). Former director of INPE (2005-2012). Director of the Secretariat of GEO (Group on Earth Observations) from 2018 to 2012.

  • sits, an open-source R package for satellite image time series analysis using machine learning
Hannes REUTER
  • Harmonizing pan-European datasets – experiences from GISCO
Ingo Simonis
  • Bringing the App to the data - State of Play for EO data exploitation
Josip Križan

Josip Križan has 20 years of professional experience in development and application of computational methods in the environmental field. His broad expertise includes advanced GIS, large-scale processing of remotely sensed data, mathematical modeling for environmental applications, database architecture, and general-purpose programming in a wide array of languages. He has participated in numerous National and European environmental/IT projects (e.g. Croatian Environmental Information System, Croatian Soil Information System, National forest inventorization project) and R&D projects (e.g. EUREKA E!3266, E!5460, PHIME, REDFAITH, CroClimGoGreen, Geo-harmonizer). Since 2009., up to the recent founding of his own company, he was engaged as Head of Mathematical modeling group in Gekom - Geophysical and ecological modeling Ltd., participating in numerous environmental modeling projects. His research activities and interests are focused on the application of Machine Learning (ML) methods on environmental problems. He is a co-author of 9 articles published in CC journals (Ecological modeling and Atmospheric Environment), most of them related to the application of ML on environmental problems, such as habitat mapping, hydrological regime problems, renewable energy resources mapping, climatological variables over a large region with complex terrain, air quality, among others.

  • Pan-european seasonal cloudless mosaic based on Sentinel-2 imagery
Leandro Parente
  • Introduction to ODSE datasets in Python
  • Spatiotemporal machine learning in Python (Part 1)
  • Spatiotemporal machine learning in Python (Part 2)
  • Working with Cloud-Optimized GeoTIFFs in Python
  • Spatiotemporal modeling of environmental dynamics at global scale: building open multiscale data cubes
  • High performance computing in Python
Luka Antonić
  • Introduction to spatial and spatiotemporal data in Python
Lukáš Brodký
  • Working with harmonized LUCAS dataset
Łukasz Pawlik

Geographer/geomorphologist working in the Institute of Earth Sciences, the University of Silesia in Katowice, Poland.

  • Modeling and prediction of wind damage in forest ecosystems of the Sudety Mountains, SW Poland
Maria Antonia Brovelli

Professor of GIS and Copernicus Uptake at the Politecnico di Milano (PoliMI), member of the School of Doctoral Studies in Data Science at “Roma La Sapienza” University. She was the Head of the Geomatics Laboratory of PoliMI (1997- 2011) and the Vice-Rector of PoliMI for the Como Campus (2011-2016)
She is the chair of ISPRS WG IV/4 “Collaborative crowdsourced cloud mapping (C3M)”; member of ESA ACEO (Advisory Committee of Earth Observation); co-chair of the United Nations Open GIS Initiative, Chair of the UN-GGIM (Global Geospatial Information Management) Academic Network, mentor of the PoliMI Chapter of YouthMappers (PoliMappers). In 2015 she was awarded the OSGeo Sol Katz Award.

  • Moving towards open geospatial systems: The UN Open GIS Initiative
Markus Metz
  • GRASS GIS 8 (Part 1): Introduction and new features
  • GRASS GIS 8 (Part 2): Processing multitemporal EO data
Markus Neteler

Markus Neteler, PhD, is cofounder and senior consultant at mundialis, a geospatial analysis and remote sensing business located in Bonn, Germany (https://www.mundialis.de/). Prior to joining mundialis he spent 15 years as a researcher in Italy with a focus on eco-health, biodiversity, GIS and Earth observation. Since 2015 he puts his energy into the company mundialis, overseeing numerous Earth observation, GIS and cloud computing related projects (esp. actinia). His main interests are remote sensing, analysis of big geodata in the cloud and Free and Open Source software GIS development. He is release manager of GRASS GIS (https://grass.osgeo.org/) since 1997 and founding member of several FOSS4G related associations.

  • Working with Geo-harmonizer processing services
  • GRASS GIS 8 (Part 1): Introduction and new features
  • GRASS GIS 8 (Part 2): Processing multitemporal EO data
Martijn Witjes
  • Land cover time-series data stack for Europe 2000--2019 based on LUCAS, GLAD Landsat and Spatiotemporal Ensemble Machine Learning
Martin Herold
  • Global land cover mapping and assessments
Martin Landa
  • Using OGC Web Services in Python
  • Working with harmonized LUCAS dataset
  • Working with Geo-harmonizer processing services
  • Working with Cloud-Optimized GeoTIFFs in Python
  • GRASS GIS 8 (Part 1): Introduction and new features
  • GRASS GIS 8 (Part 2): Processing multitemporal EO data
Michiel van Dijk

Michiel van Dijk is a senior researcher at Wageningen Economic Research, part of Wageningen University and Research and a guest research scholar at the International Institute for Applied Systems Analysis (IIASA). He previously held positions as associate professor at Eindhoven University of Technology, researcher at the Centre for Research on Multinational Corporations (SOMO) and West Africa campaigns officer at Oxfam Netherlands. From 2016 to 2020 he was a Research Scholar at IIASA. His research interests include the analysis of agricultural production, food security and climate change using a combination of global simulation models, micro-econometrics and spatial analysis. He has been a (lead) researcher in projects funded by CIMMYT, DFID, USAID, GEF, UNIDO, World Bank and the EU and has extensive working experience in Africa, Asia and Latin America. He holds a PhD in Technology and Development Studies from Eindhoven University of Technology and a MSc. in Quantitative Economics from Maastricht University.

  • MAPSPAM-C: An R package to create crop distribution maps
Ondřej Pešek
  • Working with Geo-harmonizer processing services
Pablo Pérez Chaves

Dr. Perez (Ph.D. in Biodiversity Research, Master in Ecology, Minor in Development Studies and Bachelor in Forest Sciences) is an environmental expert with 10 years of international experience in environmental impact assessments, biodiversity action plans, remote sensing and project management and capacity building. He has working experience in more than 40 development projects (forestry, energy, mining, education and road sectors) in Peru, Brazil, Tanzania, Rwanda, Mozambique, Papua New Guinea, Finland and Bosnia and Herzegovina. Researcher using satellite images and machine learning to map biodiversity patterns in the tropics.

  • Mapping biodiversity patterns for Environmental Impact Assessments (EIA) using remote sensing
Panos Panagos
  • Mapping projects at the European Soil Data Centre
Patrick Schratz

R consultant at cynkra in Zurich, CH.

I have advanced knowledge in the area of applied machine learning, more specifically in the field of environmental modeling. I am also familiar in DevOps (Docker, Terraform, Ansible) and Linux administration tasks. Besides, I am undertaking a PhD at the GIScience group at the Department of Geography at University of Jena related to environmental modeling.

In my spare time I like to develop programmatic solutions to simplify todays data science challenges. My standard is to work in a reproducible manner which I also actively promote in my daily work. Occasionally I am blogging about IT related matters I am interested in.

  • Machine Learning for spatiotemporal data using mlr3
Pavelka Karel
  • Land Cover viewer in AR/VR
Raymond Sluiter
  • Open European Earth Observation Data, a Copernicus Overview and Outlook
Rochelle Schneider

Rochelle Schneider is a Research Fellow in AI4EO at the European Space Agency Φ-Lab. She is also visiting scientist at ECMWF and honorary Assistant Professor at London School of Hygiene & Tropical Medicine (LSHTM). Dr Schneider holds a PhD in Geospatial Analytics, MSc GIS & Science, and MRes in Remote Sensing. Rochelle is passionate about EO missions and an advocate of building opportunities to introduce the benefits of satellite technologies into public health research, unlocking and ensuring the generation of global impact.

  • Exploring Copernicus products and machine learning for health applications
Ruhollah Taghizadeh-Mehrjardi

I am currently a Postdoc at the Department of Geosciences, University of Tübingen. My research interests include digital soil mapping and soil-landscape modeling.

  • Semi-supervised learning for predicting soil properties at a national scale of Germany
saleem Ibrahim

Civil Engineer holding a master degree in GIS and Remote sensing. Currently PhD candidate at Czech Technical University (CVUT).

  • Creating Geo-Harmonized PM2.5 maps over Europe using machine learning
Sarah Cheesbrough

Earth Observation Consultant

  • Using Earth Observation Data Cubes for dynamic mapping at scale: A Pacific Perspective
Steffen Fritz
  • Citizens Generating Reference Land Cover and Land Use Data with a Mobile App
Tom Hengl

Technical director at OpenGeoHub Foundation

  • Spatiotemporal modeling of environmental dynamics at global scale: building open multiscale data cubes
  • Opening plenary
  • Awards and closing plenary
  • Introduction to spatial and spatiotemporal data in R
  • Spatiotemporal Ensemble ML in R
  • Computing with Cloud-Optimized GeoTIFFs in R
  • Data visualization: from R to Google Earth and QGIS
  • Modeling with spatial and spatiatemporal data in R
Tomaš Bouček
  • Using OGC Web Services in Python
  • Working with harmonized LUCAS dataset
  • Working with Cloud-Optimized GeoTIFFs in Python
Vasile Crăciunescu
  • Discussion panel: How to secure sustainability of an open data project?
Veronica Andreo

I am a biologist and I hold a PhD in Biological Sciences and an MSc in Remote Sensing and GIS applications. I work as a researcher for CONICET and lecturer at Gulich Institute - Argentinian Space Agency (CONAE) in Córdoba, Argentina. My research is focused on uncovering environmental drivers of vector-borne disease outbreaks. I am mostly interested in those environmental features that can be derived by means of satellite image analysis, remote sensing time series and GIS-based techniques.

I am part of the GRASS GIS Development team and have recently become the new PSC chair. I am a strong advocate for OSGeo and free and open source software for geo-spatial (FOSS4G), currently serving as Program Committee chair for FOSS4G 2021. Among other things, I have volunteered as a mentor for GRASS GIS in the Google Code-In contest introducing high school students into the Open Source world.

  • GRASS GIS 8: from Desktop to Big Data Cubes
  • GRASS GIS 8 (Part 1): Introduction and new features
  • GRASS GIS 8 (Part 2): Processing multitemporal EO data
Wahaj Habib

I am a PhD student at the Department of Geography, Trinity College Dublin. My research focuses on geospatial analysis of peatland land use and drainage at a national scale (Ireland) with very high-resolution aerial photographs and high-resolution satellite images.

  • Spatio-temporal assessment of management impacts on peatlands - A case study of Ireland