Big Data from Space 2025

BiDS 2025

Date: 29 Sept - 03 October, 2025
Location: University of Latvia, Rīga, National Library of Latvia, Rīga
Website: Offcial Website of Event
Sponsers: European Commission’s Joint Research Centre || SATCEN - European Union Satellite Centre || ESA - European Space Agency || European Union || 2027 National Development Plan || Ministry of Education and Science Republic of Latvia || research Latvia || Investment and Development Agency of Latvia || MISSION Latvia || LAIK - Latvian Space Industry Association || UNIVERSITY OF LATVIA || AIRBUS || CDSE || European Commission || EO59 || EUMETSAT || Institute for Environmental Solutions, Latvia || ESA BIC Latvia || Eurogeospatial Reactor || ESRI || neuralio Artificial Intelligence || QBSS - Baltic Satellite Service || TERRADUE || VIRAC || VIRATEC || UNIVERSITY OF TARTU Landscape Geoinformatics Lab

Key Highlights:

• 🏆 Award-Winning AI Innovation: Secured a top prize at the ThinkingEarth Hackathon (held at BiDS 2025) for rapidly developing an advanced solution using AI and geospatial data
  Hackathon: Harnessing Copernicus Foundation Models to Decode Earth from Space: Vision-Language Models for EO - connect imagery and text to enhance EO data interpretation
  Hackathon 2nd Prize: Disaster-GeoRAG, AI that knows when to say ‘uncertain’: improving disaster detection for emergency responders
• 🛰️ Copernicus-Scale Intelligence: Engaged with leading-edge research focused on leveraging massive Earth Observation (EO) datasets and Copernicus-scale foundation models for global insights
• 🧠 Next-Gen Geospatial Models: Applied state-of-the-art EO Foundation Models, AI Weather Forecasting Models, and Vision-Language Models to interpret and predict complex Earth system changes
• 🌎 High-Impact EO Solutions: Focused development efforts on critical real-world applications such as water surface mapping, disaster-response systems, and deforestation pattern detection
• 🤝 Interdisciplinary Co-Creation: Participated in a dynamic environment that fostered rapid development and collaboration among AI experts, data scientists, and climate researchers
  

AGU Fall Meeting 2020

AGU20

Date: 1 - 17 December 2020 (Main Scientific Program: 7 - 11 December)
Location: Virtual Event
Website: AGU Fall Meeting 2020 Official Website
Theme: Shaping the Future of Science
Sponsers: American Geophysical Union (AGU) || The Planetary Society || ESA (European Space Agency) || NOAA (National Oceanic and Atmospheric Administration) || NASA || U.S. Department of Energy || National Science Foundation (NSF) || USGS (U.S. Geological Survey) || AGI (American Geosciences Institute) || The World Bank || Earth and Space Science News (Eos) || Numerous other university, government, and industry exhibitors || LEIDOS || Lockheed Martin || CUAHSI || WILEY || BALL || Raytheon Intelligene & Space

Key Highlights:

• 🎓 Leading Global Science: Attended the world’s largest virtual gathering of Earth and space scientists, engaging with over 1,800 sessions and nearly 20,000 presentations.
• 📝 Peer-Reviewed Presentation: Presented a co-authored paper titled “Monitoring and modeling land subsidence due to hydrocarbon production integrating geodesy and geophysics” (Abstract ID: T012-0007)
  Abstract: Monitoring and modeling land subsidence due to hydrocarbon production integrating geodesy and geophysics
• 🌍 Integrated Geodetic-Geophysical Research: Contributed to a session focused on applying cutting-edge geodetic techniques (e.g., InSAR, GNSS) and geomechanical modeling to monitor and predict land subsidence caused by subsurface fluid extraction.
• 💻 Virtual Engagement & Networking: Successfully participated in the first fully virtual AGU Fall Meeting, leveraging the online platform for on-demand content, live Q&A sessions, and global networking.
• 📈 Applied Geohazards Analysis: Showcased research aimed at providing more accurate and efficient monitoring of anthropogenic geohazards, supporting effective management and mitigation strategies in resource extraction regions.
  

Advanced Methods for Remote Sensing Information Extraction Fall School

AMERSIE 2020

Date: November 2020
Location: Online / Virtual Event
Website: IEEE Norway GRSS Chapter - AMERSIE
Sponsers: IEEE Geoscience and Remote Sensing Society (GRSS) Norway Chapter || IEEE GRSS Spain Chapter || IEEE ChapNet initiative

Key Highlights:

• 🎓 Advanced Signal Processing: Focused on introducing advanced signal processing methods for information retrieval.
• 🛰️ Large-Scale Remote Sensing Data: Applied methods to process and extract information from large-scale datasets collected by multiple remote sensors.
• 🇪🇸 International Collaboration: Jointly organized by the IEEE GRSS Chapters of Norway and Spain under the IEEE ChapNet initiative.
• 💻 Virtual School: Successfully attended all important sessions of the fully online fall school, as confirmed by the participant.
• 📚 Information Extraction: Core theme centered around Information Extraction techniques from complex Earth Observation (EO) data.
  

ISPRS TC V Mid-Term Symposium “Geospatial Technology – Pixel to People” 2018

ISPRS

Date: 20-23 November, 2018
Location: Indian Institute of Remote Sensing, 4 Kalidas Road, Dehradun
Website: Offcial Website of Event
Sponsers: IIRS || ISRO || Antrix Corp. Ltd. || NESAC || ESRI India || Hexagon Geospatial || DELL India || ISPRS Foundation (TIF)

Key Highlights:

• 📝 Published Research Contribution: Successfully presented and published a peer-reviewed research article in the ISPRS Archives proceedings, contributing new scientific knowledge to the symposium’s themes
  Article: PSInSAR Study of Lyngenfjord Norway, using TerraSAR-X Data
• 🎓 Global Geospatial Education: Fostered a worldwide platform focused on advancing multi-level education, training, and capacity building in remote sensing and photogrammetry
• 🛰️ Pixel-to-People Applications: Highlighted innovative methodologies for translating satellite and sensor data into practical solutions for societal benefits and sustainable development
• 📊 Big Geospatial Data Analytics: Explored pioneering tools and educational strategies for handling, analyzing, and deriving intelligence from large, heterogeneous geospatial data streams
• 🌐 International Collaboration & Outreach: Emphasized cross-border cooperation and the development of cost-effective distance learning programs for a global audience of educators and professionals