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Workshop 2021

The Geo-harmonizer project is delivering a number of novel technologies and value-added EU and global data sets to help network national agencies and increase usability of geospatial data products for decision making. The project consortium is organizing an open Workshop to discuss issues with preparing and using Earth Observation and Machine Learning technologies for harmonizing spatial data and mapping and monitoring landscapes and climate.

Workshop 2021 theme:
“Spatiotemporal modeling of European Landscapes and Climate 2000–2020: using EO and Machine Learning”

Workshop topics:
• Dynamic mapping of land cover, vegetation, climate and environmental quality indices,
• Spatiotemporal Machine Learning using Ensemble techniques,
• Earth Data Cubes: spatiotemporal overlay, modeling and visualization,
• Geocomputing and geo-harmonization using Python, R and Open Source GIS GDAL, GRASS GIS, SAGA GIS, QGIS,
• Processing large raster datasets using High Performance and Distributed Computing,

Deadlines:
1st of May 2021 — abstract submissions close (no payments!),
• 1st of June 2021 — selection of abstracts and invitation letters sent,
• 15th of June 2021 — official programme published,
1st of July 2021 — registrations close,
• 6th of September 2021: start of the training session,
• 8th of September 2021: start of the workshop with keynotes;

WHERE

Wageningen International Conference Centre (WICC)
Wageningen, The Netherlands

WHEN

Monday to Sunday
September 6 to 12, 2021


What you’ll discover at the workshop

Workshop topics include but are not limited to:


Mapping European Infrastructures

Workshops and live sessions



Connecting open source software with cloud services

Modeling dynamic European landscapes



Modeling and mapping topography

Geocomputing using Open Source


Our Speakers

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  • Day 1

    Sept 6, 2021

  • Day 2

    Sept 7, 2021

  • The Geographic Resources Analysis Support System, commonly referred to as GRASS, is a Geographic Information System (GIS) providing powerful raster, vector, and geospatial processing engines in a single integrated software suite. GRASS 8 GIS is the newest release of the popular platform for geocomputing.
    Training sessions
    Where
    Haakzaal, WICC

  • Day 3

    Sept 8, 2021

  • Opening and welcome session
    Where
    Haakzaal, WICC

  • The Open Source Geospatial Foundation (OSGeo) is a not-for-profit organization whose mission is to foster global adoption of open geospatial technology by being an inclusive software foundation devoted to an open philosophy and participatory community driven development.
    Big Data
    Software
    Where
    Haakzaal, WICC

  • The UN Open GIS Initiative is an ongoing Partnership Initiative leaded by the United Nations Geospatial Operations. The Initiative, established in March 2016, is supported by several UN Agencies and mission partners (Member States, technology contributing countries, international organizations, academia, NGOs, and the private sector) and takes full advantage of their expertise. The target is the creation of an extended open-source spatial data infrastructure that meets the requirements of the UN Secretariat (including UN field missions and regional commissions), and then expands to UN agencies, UN operating partners and developing countries. The keynote will explain the reasons of the choice toward openness, will describe the various components of the initiative (Working Groups and Pilot Projects) and will present the reached level of maturity. Lessons learned and future developments will conclude.
    Big Data
    Earth Observation
    Where
    Haakzaal, WICC

  • The Geographic Resources Analysis Support System (https://grass.osgeo.org/), commonly referred to as GRASS GIS, is an Open Source Geographic Information System providing powerful raster, vector and geospatial processing capabilities.
    Big Data
    Earth Observation
    Software
    Where
    Haakzaal, WICC

  • Gilberto is currently working on R packages for satellite image time series analysis using Earth observation data cubes and is a member of the Brazil Data Cube team.
    Data Cubes
    Earth Observation
    Where
    Haakzaal, WICC

  • Gala conference with drinks and bites.
    Where
    Restaurant, WICC

  • Day 4

    Sept 9, 2021

  • Geoinformation science and remote sensing at Wageningen University.
    Big Data
    Land cover
    Software
    Where
    Haakzaal, WICC

  • European Soil Data Centre (ESDAC) is producing several interesting new data sets based on predictive soil mapping.
    Land cover
    Soil data
    Where
    Haakzaal, WICC

  • European State of the Climate report: this annual report on behalf of the European Commission provides an analysis of the monitoring for Europe for the past calendar year, with descriptions of climate conditions and events.
    Climate data
    Earth Observation
    Where
    Haakzaal, WICC

  • Citizen science can be used to supplement and enhance massive field data collections. One example is the LUCAS survey data and the FotoQuest Go Europe 2018 campaign.
    Earth Observation
    Land cover
    Where
    Haakzaal, WICC

  • Day 5

    Sept 10, 2021

  • EO Data Cube based in the South Pacific region (Fiji, Solomon Islands and Vanuatu) as part of the IPP CommonSensing project, funded by the UK Space Agency's International Partnership Programme (https://www.commonsensing.org.uk/)
    Data Cubes
    Earth Observation
    Where
    Haakzaal, WICC

  • Copernicus Land, Marine, & Coastal and emergency themes, Horizon Europe Space, ESA’s Data Operations Scientific Advisory Groupe (DOSTAG)
    Earth Observation
    Land cover
    Where
    Haakzaal, WICC

  • The mlr3 package is geared towards scalability and larger datasets by supporting parallelization and out-of-memory data-backends like databases. While 'mlr3' focuses on the core computational operations, add-on packages provide additional functionality.
    Machine Learning
    Software
    Where
    Haakzaal, WICC

  • Recent evolution in computing science and web technology provide the environmental community with continuously expanding resources for data collection and analysis that pose unprecedented challenges to the design of analysis methods, workflows, and interaction with data sets. The talk will address issues in relation to using cloud-based solutions and technology for processing large environmental datasets.
    Big Data
    Data Cubes
    Software
    Where
    Haakzaal, WICC