BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//pretalx.earthmonitor.org// BEGIN:VTIMEZONE TZID:Europe/Amsterdam BEGIN:STANDARD DTSTART:20001029T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET TZOFFSETFROM:+0200 TZOFFSETTO:+0100 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000326T020000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST TZOFFSETFROM:+0100 TZOFFSETTO:+0200 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-Y9SSP9@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250901T090000 DTEND;TZID=Europe/Amsterdam:20250901T103000 DESCRIPTION:Plenary introduction Plenary introduction Plenary introduction Plenary introduction Plenary introduction Plenary introduction DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Plenary introduction\, including introduction to the hackathons - URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/Y9S SP9/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-THLTRJ@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250901T110000 DTEND;TZID=Europe/Amsterdam:20250901T113000 DESCRIPTION:Training points (ground observations and measurements of enviro nmental variables) that are referenced in space and time\, and are availab le for longer periods\, can be used to build spatiotemporal Machine Learni ng models (stmlm). Such stmlm's can then be used to generate time-series o f predictions\, which can then be used to run time-series analysis. Spatio temporal modeling is different from purely spatial mapping is in the follo wing three aspects: (1) points and covariate layers are matched in spaceti me (usually a day or month-year period of ground observations or at least the year of ground observations)\; (2) covariate layers are based on time- series of usually EO-based images (spatiotemporal data cubes) and include also accumulative indices (e.g. cumulative rainfall\, cumulative snow cove r\, cumulative cropping fraction\, and similar) and derivatives\; (3) duri ng model training and validation\, points are subset in both spacetime to avoid overfitting and bias in predictions. This talk will address 15 pract ical lessons from running stml including how to organize monitoring networ ks\, how to prevent overfitting\, how to derive prediction errors in space time\, how to use time-series of predictions to detect changes and similar . DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Spatiotemporal Machine Learning: 15 practical lessons on how to org anize monitoring\, modeling and updating of predictions - Tom Hengl (OpenG eoHub) URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/THL TRJ/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-PAUHGU@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250901T113000 DTEND;TZID=Europe/Amsterdam:20250901T120000 DESCRIPTION:Global Pasture Watch (GPW) initiative addresses the critical ne ed for monitoring grasslands and pastures\, which cover 40% of Earth's sur face and are vital for carbon sequestration\, food\, biodiversity\, and cu ltural heritage. DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Monitoring global grassland and pasture areas: An integrated approa ch based data-fusion and regional calibration - Leandro Parente URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/PAU HGU/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-LBXSVE@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250901T133000 DTEND;TZID=Europe/Amsterdam:20250901T150000 DESCRIPTION:Project\, Mapset\, Region. Types of modules and their documenta tion. Pipeline programming DTSTAMP:20260613T192553Z LOCATION:Expert Room 3 SUMMARY:Introduction to GRASS GIS as a spatial analysis engine - Luís More ira de Sousa URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/LBX SVE/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-C9G99Y@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250901T133000 DTEND;TZID=Europe/Amsterdam:20250901T150000 DESCRIPTION:As vector data size increases\, the demand of cloud computing i s also getting more attention. This lecture aims to tackle the big vector data problem and how to tackle it in the cloud environment. The introducti on of cloud-native vector formats such as Flatgeobuf\, GeoParquet and PMti le. We will have the hand-on visualization and process the big vector data set such as ICESat-2 and GEDI. The introduction and hand-on will combine w ith explanation of Vector \nTile and Lazy Loading theories behind.\nThe fi rst half is the lecture about the theory and algorithm behind the cloud-na tive format and spatial indexing. The duration is about 30 minutes. The se cond half is hands-on using DuckDB\, Polars\, and other python packages to work with cloud-native format. In addition\, we also will go through the parallel processing for big vector data\, including parallelization using semaphore for writing in a single big file and partitioning big data into smaller chunks in parallel.\n\nOther links:\nhttps://docs.google.com/prese ntation/d/1B-Z7PPErQfGBqlhqdBn1tJ0CRov9e2XJWHi_Bio1QwA/edit?usp=drive_link DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Introduction of cloud-native vector format: hands-on in Python envi ronment - Yu-Feng Ho URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/C9G 99Y/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-LCUE87@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250901T133000 DTEND;TZID=Europe/Amsterdam:20250901T150000 DESCRIPTION:This practical workshop will introduce participants to the basi cs of acquiring and processing satellite data using the R programming lang uage\, with a focus on the popular `terra` and `rstac` packages.\n\nThe wo rkshop is designed for beginners with some very basic R knowledge who want to incorporate remote sensing data into their research. Participants will learn how to search\, access\, and download satellite imagery from variou s providers through the SpatioTemporal Asset Catalog (STAC) using the `rst ac` package and how to handle spatial data using the `terra` package\, inc luding reading and writing data\, raster processing and visualization tech niques.\n\nThrough hands-on exercises\, participants will gain experience working with real satellite datasets and creating efficient and reproducib le workflows. Ultimately\, the knowledge and skills learned during the wor kshop will help use these data and processing methods for own research or projects. DTSTAMP:20260613T192553Z LOCATION:Expert Room 2 SUMMARY:Automatic acquisition and processing of satellite data in R - Krzys ztof Dyba URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/LCU E87/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-DXWHKG@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250901T153000 DTEND;TZID=Europe/Amsterdam:20250901T163000 DESCRIPTION:Hackathon workshops Hackathon workshops Hackathon workshops Hac kathon workshops Hackathon workshops Hackathon workshops DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Hackathon workshops - URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/DXW HKG/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-VAVRCX@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250901T163000 DTEND;TZID=Europe/Amsterdam:20250901T183000 DESCRIPTION:Social event Social event Social event Social event Social even t Social event DTSTAMP:20260613T192553Z LOCATION:W-Invite SUMMARY:Research speed dating - URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/VAV RCX/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-JE8JLY@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250902T090000 DTEND;TZID=Europe/Amsterdam:20250902T093000 DESCRIPTION:The volume of unlabeled Earth observation (EO) data is huge. To interpret this vast amount of data\, efficient modelling approaches are n eeded that can generalize to large geographic areas and are robust to inhe rent noise. Data-driven approaches promise great potential for interpretin g and combining data from different space missions. In this talk\, I will present our work on global canopy height mapping (https://langnico.github. io/globalcanopyheight/) with optical satellite images and sparse spaceborn e lidar data and discuss a recent project called MMEarth (https://vishalne d.github.io/mmearth/) that explored multi-modal pretext tasks for learning representations that are suitable for a range of downstream tasks with li mited training data. DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Learning From Global Earth Observation Data - Nico Lang URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/JE8 JLY/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-BDVFTR@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250902T093000 DTEND;TZID=Europe/Amsterdam:20250902T103000 DESCRIPTION:The lecture will address how we analyse Earth Observation data\ nToday\, local or cloud-based\, and how we ended up in the current\nsituat ion. It will also address to which extent cloud platforms\nare built on op en source software\, and how the Earth Observation\ncommunity can continue working towards a scientific practice that\nis sustainable\, FAIR\, and t hat complies to open science requirements. DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Cloud-based analysis of Earth Observation data using open-source so ftware - Edzer Pebesma URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/BDV FTR/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-RELHCA@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250902T110000 DTEND;TZID=Europe/Amsterdam:20250902T120000 DESCRIPTION:In this lecture\, an overview of the different types of passive optical instruments for earth observation is given. Their limitations are outlined\, and possible future development paths of such instruments are discussed. DTSTAMP:20260613T192553Z LOCATION:Expert Room 2 SUMMARY:Overview of passive optical instruments for earth observation - Ral f Kohlhaas URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/REL HCA/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-8ESEJW@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250902T110000 DTEND;TZID=Europe/Amsterdam:20250902T120000 DESCRIPTION:Together we will investigate what “high resolution” means b y working through the specifications of a “truly” hyperspectral satell ite. DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:What does high resolution mean? Space-based spectrometry for air qu ality & climate - Deborah C. Stein Zweers URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/8ES EJW/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-EWFPYV@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250902T133000 DTEND;TZID=Europe/Amsterdam:20250902T150000 DESCRIPTION:This tutorial introduces the Google Earth Engine (GEE) API. Par ticipants will learn to filter\, process\, and export images\, extract ins ights from temporal data\, and export results using the API. DTSTAMP:20260613T192553Z LOCATION:Expert Room 2 SUMMARY:Crash Course on Google Earth Engine API - Mustafa Serkan Isik URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/EWF PYV/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-JWWLJK@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250902T133000 DTEND;TZID=Europe/Amsterdam:20250902T150000 DESCRIPTION:This tutorial introduces `sits`\, an R package for Land use and land cover (LULC) classification using satellite image time series. DTSTAMP:20260613T192553Z LOCATION:Expert Room 3 SUMMARY:Land Use and Land Cover Classification with Satellite Image Time Se ries in R - Krzysztof Dyba URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/JWW LJK/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-ZFRDCW@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250902T133000 DTEND;TZID=Europe/Amsterdam:20250902T150000 DESCRIPTION:The workshop will repeat some theory about what multidimensiona l\narrays are in computer science as well as in R and Python\, and\ndiscus s how they can be used for solving Earth Observations problems.\nIn partic ular it will discuss the use of arrays for time series\ndata\, for spatial data (raster maps\, stacks of raster maps)\, for\nspatiotemporal data (ti me series of raster maps or stacks)\, and for\ntime series of feature (poi nt or polygon) data (vector data cubes).\nAll will be illustrated by examp les in R and Python\, in parallel.\nExamples will be (mostly) reproducible by participants. DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Raster and vector data cubes in R and Python - Edzer Pebesma URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/ZFR DCW/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-8A3E7Z@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250902T153000 DTEND;TZID=Europe/Amsterdam:20250902T170000 DESCRIPTION:Scripting with GRASS: Bash\, R\, Python\, Julia (?)\, matching students’ preferences and EO theme DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:GRASS GIS automation for Earth Observation with Python\, R and Juli a - Luís Moreira de Sousa URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/8A3 E7Z/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-FGVXKV@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250902T153000 DTEND;TZID=Europe/Amsterdam:20250902T170000 DESCRIPTION:Digital Elevation Model provides knowledge of topography\, hydr ology\, geomorphology. Geomorphometry is a domain to extract the land surf ace parameters from DEMs. This tutorial introduces leveraging the state-of -art geo-processing softwares to create spatial information from DEMs. DTSTAMP:20260613T192553Z LOCATION:Expert Room 3 SUMMARY:Geomorphometry: high-performance computing using GRASS GIS\, and Wh itboxTools in Python - Yu-Feng Ho\, Mustafa Serkan Isik URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/FGV XKV/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-PXMTDT@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250902T153000 DTEND;TZID=Europe/Amsterdam:20250902T170000 DESCRIPTION:The tutorial will guide participants on effectively monitoring and benchmarking their analysis workflows in a reliable and reproducible w ay\, enabling them to identify performance bottlenecks and explore potenti al solutions.\n\nOther links:\nhttps://doi.org/10.5281/zenodo.17036542\nht tps://data.crib.utwente.nl/geobench/demo.zip DTSTAMP:20260613T192553Z LOCATION:Expert Room 2 SUMMARY:Monitoring EO workflows with precision for better performance and r esource utilization - Serkan Girgin URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/PXM TDT/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-XQYRQW@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250902T170000 DTEND;TZID=Europe/Amsterdam:20250902T180000 DESCRIPTION:Hackathon Consultation Hackathon Consultation Hackathon Consult ation Hackathon Consultation Hackathon Consultation Hackathon Consultation DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Hackathon Consultation - URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/XQY RQW/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-BUPMPE@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250903T090000 DTEND;TZID=Europe/Amsterdam:20250903T093000 DESCRIPTION:Overview of earth observation activities in the Netherlands\, f ocusing on solid earth and deformation DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Introduction to the EO Council - Wouter van der Wal URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/BUP MPE/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-NCL9GY@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250903T093000 DTEND;TZID=Europe/Amsterdam:20250903T100000 DESCRIPTION:To be provided To be provided To be provided To be provided To be provided To be provided To be provided To be provided To be provided To be provided DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Introduction to SURF - Haili Hu URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/NCL 9GY/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-FF88PV@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250903T100000 DTEND;TZID=Europe/Amsterdam:20250903T103000 DESCRIPTION:To be provided To be provided To be provided To be provided To be provided To be provided To be provided To be provided To be provided To be provided DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Introduction to NSO - URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/FF8 8PV/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-RF8TPX@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250903T110000 DTEND;TZID=Europe/Amsterdam:20250903T120000 DESCRIPTION:This lecture discusses the use of models and data processing me thods for efficient use of large volumes of satellite data\, with applicat ion to atmospheric remote sensing. The lecture will come with exercises to gain hands-on experience using some of the techniques that are discussed. DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Data use in remote sensing of the atmosphere - Sander Houweling URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/RF8 TPX/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-FD3Z9H@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250903T110000 DTEND;TZID=Europe/Amsterdam:20250903T120000 DESCRIPTION:This introduction talk will introduce advantages\, technical ch allenges and currently available softwares. DTSTAMP:20260613T192553Z LOCATION:Expert Room 2 SUMMARY:Discrete Global Grid Systems - Awareness raising about the future o f GIS - Davide Consoli\, Luís Moreira de Sousa URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/FD3 Z9H/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-9TLLZZ@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250903T133000 DTEND;TZID=Europe/Amsterdam:20250903T150000 DESCRIPTION:This summer school session will introduce participants to a Pyt hon/Dask-based ecosystem\, familiarizing them with the use of the Remote S ensing Deployable Analysis environmenT (RS-DAT) framework to scale EO and RS data analysis using HTC/HPC systems and associated storage resources. T he session will cover the tools for data access\, retrieval and storage\, and demonstrate the scaling up of processing and analysis workflows focuse d on EO data-sets. DTSTAMP:20260613T192553Z LOCATION:Expert Room 2 SUMMARY:High performance computing with Pyhton/RS-DAT - Meiert Willem Groot es URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/9TL LZZ/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-9G333N@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250903T133000 DTEND;TZID=Europe/Amsterdam:20250903T150000 DESCRIPTION:This tutorial lets you dive into the world of data from PACE\, NASA's Plankton\, Aerosol\, Clouds and ocean Ecosystem mission using Pytho n notebooks with a focus on SPEXone. DTSTAMP:20260613T192553Z LOCATION:Expert Room 3 SUMMARY:Processing PACE data with Python: get a polarized hyperspectral vie w of the Earth - Jeroen Rietjens\, Laura van der Schaaf URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/9G3 33N/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-GDNV9D@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250903T133000 DTEND;TZID=Europe/Amsterdam:20250903T150000 DESCRIPTION:This tutorial will offer a practical\, step-by-step guide on ac cessing and using Landsat ARCO data for space-time mapping. Participants w ill work with real data to generate 30-meter resolution maps of the Nether lands from 2000 to 2024. The session will cover the entire workflow\, incl uding data acquisition\, preprocessing\, spatial and temporal analysis\, a nd visualization. All code will be based on the Scikit-map library.\n\nThe workshop is designed to be interactive\, with participants using either G oogle Colab or Docker containers to follow along. Key topics will include retrieving Landsat ARCO data\, handling large-scale remote sensing dataset s\, applying spatial and temporal filters\, and analyzing changes in land cover over time. The focus will be on implementing a reproducible workflow that can be adapted for similar projects.\n\nThis session is intended for participants with some experience in remote sensing or geospatial analysi s. Prior knowledge of Python and GIS tools will be useful but not strictly required. Throughout the session\, there will be opportunities for discus sion and troubleshooting. By the end of the workshop\, participants will h ave a working pipeline for generating and interpreting time-series maps fr om Landsat ARCO data. All provided input data will also be openly availabl e at global scale for large scale applications. DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Space-time mapping at 30 m resolution based on Landsat ARCO data: h ands-on for real case applications (python) - Davide Consoli URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/GDN V9D/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-YM3HPE@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250903T153000 DTEND;TZID=Europe/Amsterdam:20250903T173000 DESCRIPTION:Social event Social event Social event Social event Social even t Social event DTSTAMP:20260613T192553Z LOCATION:W-Invite SUMMARY:NSO Companies Fair + Networking borrel - URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/YM3 HPE/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-XKNKGR@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250904T090000 DTEND;TZID=Europe/Amsterdam:20250904T093000 DESCRIPTION:Traditionally way to process Earth Observation (EO) data could be complex and time-consuming\, requiring users to discover\, download\, a nd pre-process large datasets locally. DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Introduction to openEO within the Copernicus Data Space Ecosystem - Pratichhya Sharma URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/XKN KGR/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-DMJANT@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250904T093000 DTEND;TZID=Europe/Amsterdam:20250904T103000 DESCRIPTION:Clearly\, climate change produces more extreme weather and asso ciated ocean anomalies\, hence calling for 1) improved weather advisories in the future for loss reduction and 2) for climate projections for adapta tion. A better understanding of earth system dynamics may provide benefits in both areas. Earth-orbiting satellites have this century been proven in dispensible for monitoring the earth system\, both for tracking the weathe r and for understanding earth system processes. The value of satellite obs ervations is being further exploited by novel future satellite missions. An overview of needs and EO systems will be provided. Winds determine weat her\, hurricanes\, waves and surges\, energy production\, ocean forcing\, heat and carbon budgets\, sea ice decline\, climate change\, andsoforth. H ence\, satellite winds are extensively used by marine forecasters\, in NWP \, by oceanographers\, wind engineers\, off-shore industry\, safety author ities and climate scientists alike. More dynamical information is becoming available due to new and extending virtual constellations of satellite wi nd-sensing instruments. This new information is hence beneficial for above -mentioned applications. However\, it is clear that a remaining gap in the understanding of earth system dynamics remains in the intricate coupling between the atmosphere and the ocean and in the presentation this aspect w ill also be further elaborated. As an example of the interplay between dif ferent professional disicplines\, a furthermore interesting and related to pic is how to measure and monitor winds in hurricanes? DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Observing earth system dynamics on weather and climate scales - Ad Stoffelen URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/DMJ ANT/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-DQANYK@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250904T110000 DTEND;TZID=Europe/Amsterdam:20250904T120000 DESCRIPTION:Discussion panel: How to build an open decentralized EO fediver se? Discussion panel: How to build an open decentralized EO fediverse? DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Discussion panel: How to build an open decentralized EO fediverse? - URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/DQA NYK/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-ZTXMAE@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250904T133000 DTEND;TZID=Europe/Amsterdam:20250904T150000 DESCRIPTION:An introduction lecture to Julia\, focused on the installation\ , usage and other first steps. Useful if you plan on following subsequent lectures/tutorials on Julia and have no previous experience. DTSTAMP:20260613T192553Z LOCATION:Expert Room 3 SUMMARY:An introduction to Julia - Maarten Pronk URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/ZTX MAE/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-UHZMFT@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250904T133000 DTEND;TZID=Europe/Amsterdam:20250904T150000 DESCRIPTION:Introduces the xcube core libraries and associated software com ponents\, and presents recent developments in integrating OGC Earth Observ ation Application Packages into the xcube ecosystem. DTSTAMP:20260613T192553Z LOCATION:Expert Room 2 SUMMARY:Application Packages in the xcube ecosystem - Pontus Lurcock URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/UHZ MFT/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-8YHQU9@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250904T133000 DTEND;TZID=Europe/Amsterdam:20250904T150000 DESCRIPTION:In the Earth Observation (EO) domain\, data analysis ranges fro m simple image processing tasks like dilation to complex workflows involvi ng Machine Learning (ML) and Deep Learning (DL). While openEO provides num erous features and functions for data analysis\, but given the broad scope of the field\, not all potential needs are covered out of the box. To add ress this\, openEO supports User-Defined Functions (UDFs). These UDFs are implemented as standard Python scripts using libraries such as Xarray or N umpy. They allow users to implement custom workflows tailored to specific research requirements.\n\nThus\, in this course\, we offer a high-level in troduction to openEO with a focus on UDFs and include an example of an adv anced EO workflow that applies this concept in practice. DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Build Advanced EO Workflows with Custom Functions in openEO within the Copernicus Data Space Ecosystem - Pratichhya Sharma URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/8YH QU9/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-PYWBXY@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250904T153000 DTEND;TZID=Europe/Amsterdam:20250904T170000 DESCRIPTION:Lecture on geomorphometry and elevation modelling\, alternated by hands-on exercises in Julia on downloading\, visualizing and analyzing elevation models. DTSTAMP:20260613T192553Z LOCATION:Expert Room 3 SUMMARY:Geomorphometry in Julia - Maarten Pronk URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/PYW BXY/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-DAN9MN@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250904T153000 DTEND;TZID=Europe/Amsterdam:20250904T170000 DESCRIPTION:Discrete Global Grid Systems (DGGS) have emerged as a transform ative approach to minimizing spatial distortions in geospatial data proces sing. Unlike traditional methods that merely name locations\, DGGS offer a highly efficient data structure capable of reducing storage requirements by up to 33% compared to the current Sentinel-2 UTM tiling grid. The perfo rmance of operations on DGGS native data cubes is intrinsically linked to the cell index\, which plays a crucial role in data management and retriev al.\n\nMost DGGS implementations utilize a hierarchical one-dimensional in dex to name and sort cells\, optimizing them for parent-child queries. Thi s structure is particularly beneficial for operations such as upscaling an d downscaling\, which are essential for integrating data with varying spat ial resolutions. However\, many real-world applications\, such as visualiz ation\, fluid dynamics\, and convolutions\, require efficient handling of distant neighbor queries based on spatial distances. These applications of ten rely on bounding boxes or moving windows\, which are not optimally sup ported by traditional DGGS implementations.\n\nIn response to these challe nges\, we introduce DGGS.jl\, a Julia package specifically developed to cr eate and utilize DGGS native data cubes optimized for distant neighbor que ries. Our package employs the DGGRID Q2DI index to store data on a hexagon al ISEA4H grid\, enabling compact and efficient data cube arrays. We have implemented methods to seamlessly convert raster data between geographic a nd Q2DI coordinates\, access neighbor disks around a given cell\, and visu alize these data on a global scale.\n\nTo demonstrate the practical applic ation of DGGS.jl\, we present a hands-on workshop of our Julia package DGG S.jl to convert traditional geographical data cubes into DGGS native data cubes. Furthermore\, we show how to process those data cubes and how to ac cess neighbors and regions around given coordinates. DTSTAMP:20260613T192553Z LOCATION:Expert Room 2 SUMMARY:Less distorted analyses of satellite imagery using Discrete Global Grid Systems in Julia - Daniel Loos\, Luís Moreira de Sousa URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/DAN 9MN/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-MTHQXF@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250904T153000 DTEND;TZID=Europe/Amsterdam:20250904T170000 DESCRIPTION:In this tutorial\, an AutoML framework (EvalML) will be used fo r modeling livestock density at polygon level (areal regression) and produ ce spatial predictions at pixel level. DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:AutoML: Automating machine learning applied to areal regression mod eling - Leandro Parente URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/MTH QXF/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-9TY7AD@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250904T170000 DTEND;TZID=Europe/Amsterdam:20250904T180000 DESCRIPTION:Hackathon Consultation Hackathon Consultation Hackathon Consu ltation Hackathon Consultation Hackathon Consultation Hackathon Consult ation Hackathon Consultation DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Hackathon Consultation - URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/9TY 7AD/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-UNKX8N@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250905T090000 DTEND;TZID=Europe/Amsterdam:20250905T100000 DESCRIPTION:Machine learning has become an important toolbox for analyzing complex Earth observation data to derive information from the raw data. In particular\, supervised deep learning has achieved great success in solvi ng EO tasks where the relationship between input and output is not clearly understood. However\, applications with limited reference data cannot dir ectly benefit from advances in supervised deep learning. This lecture will first introduce the concepts of supervised deep learning and then provide an overview of research in the field of self-supervised learning (SSL)\, which aims to learn transferable representations (i.e.\, features) from un labeled data. DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Learning Representations: From Engineering Features to Engineering Pretext Tasks - Nico Lang URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/UNK X8N/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-U88UXR@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250905T110000 DTEND;TZID=Europe/Amsterdam:20250905T120000 DESCRIPTION:Spaceborne Synthetic Aperture Radar systems are an important co mponent of our Earth Observation space infrastructure. This tutorial will guide the students through the main parameters that define a SAR system (a ntenna dimensions\, available average power\, etc.) and link them to the k ey performance indicators (radiometric sensitivity\, spatial resolution\, ambiguities\, etc). DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Synthetic Aperture Radar: system specificaitons and performance tra de offs - Paco Lopez Dekker URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/U88 UXR/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-F7A3SC@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250905T110000 DTEND;TZID=Europe/Amsterdam:20250905T120000 DESCRIPTION:Radiative Transfer Theory provides a robust framework for under standing how matter interacts with light\, enabling us to interpret radiom etric observations of planetary atmospheres. This theory allows us to expl ore photochemical processes and calculate heating rates in atmospheres\, b oth of which are crucial for studying atmospheric chemistry and modeling t he climate. DTSTAMP:20260613T192553Z LOCATION:Expert Room 2 SUMMARY:The Radiative Transfer Theory - Jochen Landgraf URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/F7A 3SC/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-HWFDTU@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250905T133000 DTEND;TZID=Europe/Amsterdam:20250905T150000 DESCRIPTION:This tutorial session is designed for Cryosphere applications\, focusing on the processing and analysis of satellite remote sensing data over ice sheets and sea ice regions. The session will introduce key satell ite missions\, including Sentinel-1 SAR\, CryoSat-2 radar altimetry\, and ICESat-2 laser altimetry\, with hands-on exercises in Python.\nParticipant s will gain experience in:\nSynthetic Aperture Radar (SAR) processing usin g Sentinel-1 data for ice type classification.\nRadar altimetry (CryoSat-2 ) data analysis\, including elevation and freeboard estimation.\nLaser alt imetry (ICESat-2) data processing\, focusing on surface elevation change d etection\, and sea ice thickness estimation.\nThe tutorial will cover Pyth on-based tools and libraries\, including rasterio\, xarray\, h5py\, and ge opandas\, to facilitate the analysis of large-scale remote sensing dataset s. By the end of the session\, participants will be able to apply these te chniques to monitor ice sheet dynamics\, track sea ice changes\, and asses s the impact of climate variability on the cryosphere. DTSTAMP:20260613T192553Z LOCATION:Expert Room 2 SUMMARY:Cryosphere Tutorial in Python - Lu Zhou URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/HWF DTU/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-7WDD97@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250905T133000 DTEND;TZID=Europe/Amsterdam:20250905T150000 DESCRIPTION:Terra package in R (developed by Robert Hijmans\; https://rspat ial.github.io/terra/) is one of the finest libraries in R for processing g ridded/raster data. It is an evolved version of the raster package and is fit for use with large rasters including time-series of raster images / EO images. The tutorial will demonstrate some processing steps used to aggre gate time-series of images in parallel\, run space-time overlay\, combine interpolation functions on raster images and do more complex raster algebr a. More examples are available also via: https://opengeohub.github.io/spat ial-prediction-eml/ DTSTAMP:20260613T192553Z LOCATION:Expert Room 3 SUMMARY:Processing large grids and raster algebra using terra package (R) - Tom Hengl (OpenGeoHub)\, Alexandre Wadoux URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/7WD D97/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-SGUUY7@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250905T133000 DTEND;TZID=Europe/Amsterdam:20250905T150000 DESCRIPTION:The absorption of telluric greenhouse gases in the Earth'\;s atmosphere and the\nmethodology for determining the concentrations of CO 2 and CH 4 through satellite\nobservations are the focal points of this tu torial. For this tutorial\, relevant aspects are\ndiscussed in the lecture on Radiative Transfer. The tutorial will guide participants in\nsimulatin g the solar spectrum that is reflected by the Earth'\;s atmosphere and\ nsubsequently measured by satellites. Emphasis will be placed on the 1.6 µm spectral\nrange that encompasses the absorption bands of CO 2 \, CH 4 \, and water vapor. It is\nused by several satellite missions to infer gre enhouse gas abundances from\nradiometric observations. The model that we w ill use will incorporate fundamental\ninstrument characteristics such as s pectral resolution and sampling\, facilitating a\ncomparison between our s imulation and actual observations obtained from the\nGOSAT satellite. By a djusting the input parameters of the model\, we strive to\nenhance the con cordance between the model'\;s predictions and observed data\,\nthereby allowing us to ascertain the total quantities of CO 2 and CH 4 present in the\nmonitored atmosphere. DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Atmospheric Greenhouse Gases and the Determination of Their Concent rations Through Satellite Observations - Jochen Landgraf URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/SGU UY7/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-DVDQRH@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250905T153000 DTEND;TZID=Europe/Amsterdam:20250905T170000 DESCRIPTION:Closing and announcement of hackathon winners Closing and annou ncement of hackathon winners Closing and announcement of hackathon winners DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Closing and announcement of hackathon winners - Tom Hengl (OpenGeoH ub) URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/DVD QRH/ END:VEVENT BEGIN:VEVENT UID:pretalx-opengeohub-summer-school-2025-HMUU8R@pretalx.earthmonitor.org DTSTART;TZID=Europe/Amsterdam:20250906T083000 DTEND;TZID=Europe/Amsterdam:20250906T163000 DESCRIPTION:Field Excursion - Doorwerth castle Field Excursion - Doorwerth castle Field Excursion - Doorwerth castle Field Excursion - Doorwerth cast le Field Excursion - Doorwerth castle DTSTAMP:20260613T192553Z LOCATION:HugoTECH SUMMARY:Field Excursion - Doorwerth castle - URL:https://pretalx.earthmonitor.org/opengeohub-summer-school-2025/talk/HMU U8R/ END:VEVENT END:VCALENDAR