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X-WR-CALDESC:Events for Embed2Scale
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DTSTART;TZID=UTC:20250611T000000
DTEND;TZID=UTC:20250612T235959
DTSTAMP:20260109T104649Z
CREATED:20250205T155910Z
LAST-MODIFIED:20260109T104649Z
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SUMMARY:EARTHVISION 2025
DESCRIPTION:Home » Event » Page 2\n\n\n\n\n\n\n\n\n\n\n\n\nEARTHVISION 2025\n\n\n\n\n\n\n\n\nEarth Observation (EO) and remote sensing are ever-growing fields of investigation where computer vision\, machine learning\, and signal/image processing meet. The general objective of the domain is to provide large-scale and consistent information about processes occurring at the surface of the Earth by exploiting data collected by airborne and spaceborne sensors. Earth Observation covers a broad range of tasks\, from detection to registration\, data mining\, and multi-sensor\, multi-resolution\, multi-temporal\, and multi-modality fusion and regression\, to name just a few. It is motivated by numerous  applications such as location-based services\, online mapping services\, large-scale surveillance\, 3D urban modeling\, navigation systems\, natural hazard forecast and response\, climate change monitoring\, virtual habitat modeling\, food security\, etc. The sheer amount of data calls for highly automated scene interpretation workflows. \n\n\n\nEarth Observation and in particular the analysis of spaceborne data directly connects to 34 indicators out of 40 (29 targets and 11 goals) of the Sustainable Development Goals defined by the United Nations ( https://sdgs.un.org/goals  ). The aim of EarthVision to advance the state of the art in machine learning-based analysis of remote sensing data is thus of high relevance. It also connects to other immediate societal challenges such as monitoring of forest fires and other natural hazards\, urban growth\, deforestation\, and climate change. \n\n\n\nA non exhaustive list of topics of interest includes the following: \n\n\n\n\nSuper-resolution in the spectral and spatial domain\n\n\n\nHyperspectral and multispectral image processing\n\n\n\nReconstruction and segmentation of optical and LiDAR 3D point clouds\n\n\n\nFeature extraction and learning from spatio-temporal data \n\n\n\nAnalysis  of UAV / aerial and satellite images and videos\n\n\n\nDeep learning tailored for large-scale Earth Observation\n\n\n\nDomain adaptation\, concept drift\, and the detection of out-of-distribution data\n\n\n\nData-centric machine learning\n\n\n\nEvaluating models using unlabeled data\n\n\n\nSelf-\, weakly\, and unsupervised approaches for learning with spatial data\n\n\n\nFoundation models and representation learning in the context of EO\n\n\n\nHuman-in-the-loop and active learning\n\n\n\nMulti-resolution\, multi-temporal\, multi-sensor\, multi-modal processing\n\n\n\nFusion of machine learning and physical models\n\n\n\nExplainable and interpretable machine learning in Earth Observation applications\n\n\n\nUncertainty quantification of machine-learning based prediction from EO data\n\n\n\nApplications for climate change\, sustainable development goals\, and geoscience\n\n\n\nPublic benchmark datasets: training data standards\, testing & evaluation metrics\, as well as open source research and development.\n\n\n\n\nAll manuscripts will be subject to a double-blind review process. Accepted EarthVision papers will be included in the CVPR2024 workshop proceedings (published open access on the Computer Vision Foundation website) and submitted to IEEE for publication in IEEEXplore. Publication in IEEEXplore will be granted only if the paper meets IEEE publication policies and procedures. \n\n\n\nEvent’s website
URL:https://embed2scale.eu/event/earthvision-2025/
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://embed2scale.eu/wp-content/uploads/2025/02/Earthvision2025_FI.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250505T000000
DTEND;TZID=UTC:20250507T235959
DTSTAMP:20260109T104649Z
CREATED:20250131T090141Z
LAST-MODIFIED:20260109T104649Z
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SUMMARY:ESA-NASA International Workshop on AI Foundation Model for EO
DESCRIPTION:Home » Event » Page 2\n\n\n\n\n\n\n\n\n\n\n\n\nESA-NASA International Workshop on AI Foundation Model for EO\n\n\n\n\n\n\n\n\nJoin experts from artificial intelligence (AI)\, geospatial science\, climate\, weather\, and Earth observation communities from across the globe in this in-person workshop hosted by NASA and ESA (European Space Agency). The workshop will focus on foundation models (FMs)\, which present enormous opportunity in the field of data science\, including enhancing the analytical and predictive capabilities of geospatial applications. Yet there are many challenges to applying FMs to Earth science data that need to be worked through before integrating FMs into the Earth Observation and Earth Sciences ecosystems. \n\n\n\nThe goal of the workshop is to foster interdisciplinary collaboration\, share the latest research and technological advancements\, and discuss practical solutions for using FMs to advance our understanding of Earth’s systems and enhance global environmental monitoring and response efforts. \n\n\n\nEvent’s website
URL:https://embed2scale.eu/event/esa-nasa-international-workshop-on-ai-foundation-model-for-eo/
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://embed2scale.eu/wp-content/uploads/2025/01/ESA-NASA-International-Workshop-on-AI-Foundation-Model-for-EO.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250427T000000
DTEND;TZID=UTC:20250502T235959
DTSTAMP:20260109T104649Z
CREATED:20241104T160842Z
LAST-MODIFIED:20260109T104649Z
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SUMMARY:EGU general Assembly 2025
DESCRIPTION:Home » Event » Page 2\n\n\n\n\n\n\n\n\n\n\nEGU general Assembly 2025\n\n\n\n\n\n\n\n\nThe EGU General Assembly 2025 brings together geoscientists from all over the world to one meeting covering all disciplines of the Earth\, planetary\, and space sciences. The EGU aims to provide a forum where scientists\, especially early career researchers\, can present their work and discuss their ideas with experts in all fields of geoscience. \n\n\n\nEvent’s website
URL:https://embed2scale.eu/event/egu-general-assembly-2025/
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://embed2scale.eu/wp-content/uploads/2024/11/EGU25_FI.png
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BEGIN:VEVENT
DTSTART;TZID=UTC:20250406T000000
DTEND;TZID=UTC:20250411T235959
DTSTAMP:20260109T104650Z
CREATED:20250411T154321Z
LAST-MODIFIED:20260109T104650Z
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SUMMARY:ISPRS Geospatial Week 2025
DESCRIPTION:Home » Event » Page 2\n\n\n\n\n\n\n\n\n\n\n\n\nAGU25\n\n\n\n\n\n\n\n\nWelcome to the heart of Dubai for the Geo-Spatial Week 2025! \n\n\n\nAs the hub of innovation\, Dubai will host the ISPRS Geo-Spatial Week (GSW 2025)\, bringing together the brightest minds in photogrammetry\, remote sensing\, and spatial sciences.  \n\n\n\nThe theme of our conference\, “Photogrammetry and Remote Sensing for a Better Tomorrow”\, resonates profoundly with our collective mission. These are not just scientific domains but tools of transformation\, enabling us to see our world from new perspectives\, to make informed decisions\, and to chart a course for a sustainable and inclusive future. By harnessing the precision of photogrammetry\, the insights from remote sensing\, and the encompassing knowledge of spatial sciences\, we hold the keys to understanding our planet’s past\, navigating its present\, and shaping its future. \n\n\n\nEvent’s website
URL:https://embed2scale.eu/event/isprs-geospatial-week-2025/
CATEGORIES:Event
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BEGIN:VEVENT
DTSTART;TZID=UTC:20241118T000000
DTEND;TZID=UTC:20241119T235959
DTSTAMP:20260109T104650Z
CREATED:20241126T084511Z
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SUMMARY:SatSummit — Lisbon '24
DESCRIPTION:SatSummit is heading to Lisbon\, Portugal to convene leaders in the satellite industry and experts in global development for 2 days of presentations and in-depth conversations on solving the world’s most critical development challenges with satellite data. \n\n\n\nFrom climate change to population growth to natural resource availability\, earth observation data offers insights into today’s biggest global issues. \n\n\n\nEvent’s website
URL:https://embed2scale.eu/event/satsummit-lisbon-24/
CATEGORIES:Event
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20240707
DTEND;VALUE=DATE:20240713
DTSTAMP:20260109T104650Z
CREATED:20240614T143202Z
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SUMMARY:2024 IEEE International Geoscience and Remote Sensing Symposium
DESCRIPTION:It is the leading meeting of more than 2.500 esteemed scientists and professionals in the Remote Sensing field worldwide. It distinctively contributes to the exchange of views\, sharing of experiences and the training of younger scientists\, opening new perspectives for research development and investments in the sector. \nUnder this year’s theme “Acting for Sustainability and Resilience”\, we anticipate to stimulate enlightening debates for opening science and innovation\, towards the creation of innovative solutions for the benefit of societies. \nThe Scientific Program of this IGARSS\, emphasizes on sustainable development in accordance with the goals of the United Nations 2030 Agenda\, including scientific publications\, lectures\, presentations and intriguing forums\, specializing in Remote Sensing. Delegates will have the opportunity to get involved with the latest scientific achievements of the Greek centers of research\, education and business development. Scientists\, representatives of the industrial sector and start-up companies\, as well as students from all over the world are invited to delve into the latest research and technological advancements in the field of space and its applications. \nIGARSS 2024 will be hosted by the National Observatory of Athens – Operational Unit “BEYOND Centre of Earth Observation Research and Satellite Remote Sensing” of Institute for Astronomy\, Astrophysics\, Space Applications and Remote Sensing\, with the support of the National Technical University of Athens and the Foundation for Research and Technology – Hellas. \nAθens\, one of the world’s oldest cities\, the birthplace of democracy\, arts\, science\, and philosophy of western civilization is waiting for you\, for an exciting journey through time. Under the shadow of Parthenon\, Αθens reflects its enlightening history and culture combined with the perfect Mediterranean climate and the legendary Greek sunlight. An exciting mix of glorious culture with an astonishing natural urban beauty will keep you mesmerized.
URL:https://embed2scale.eu/event/2024-ieee-international-geoscience-and-remote-sensing-symposium/
LOCATION:MAICC\, Vas. Sofias & Kokkali 115 21\, Athens\, Greece
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://embed2scale.eu/wp-content/uploads/2024/06/E2S_IG24-IGARSS-2024_FI-web.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240517
DTEND;VALUE=DATE:20240518
DTSTAMP:20260109T104650Z
CREATED:20240605T122054Z
LAST-MODIFIED:20260109T104650Z
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SUMMARY:AI+Environment EcoHackathon
DESCRIPTION:Organized by ETH AI Center and GainForest\, The AI+Environment EcoHackathon is designed to spark interest in environmental conservation and to develop insightful analyses through the use of AI and data visualization techniques to tackle pressing ecological issues\, and protect the Amazon Rainforest. The best submissions are deployed in the Amazon during the XPRIZE Finals on July 11th. \nAI FOR BIODIVERSITY (TRACK 1) \n\n\n\n\n\n\nGoal: Develop innovative AI models that can provide deeper insights into ​biodiversity. Use machine learning techniques to predict species health\, ​population trends\, or ecological impacts. Your models will help researchers ​and conservationists understand and protect these critical environments ​better. \nWhat you’ll do: Access a dataset featuring various attributes from rainforest ​ecosystems\, including species occurrence\, climate conditions\, and ​geographical data. Build and train models to analyze patterns\, predict ​outcomes\, or classify data\, contributing to the conservation efforts and ​scientific understanding of biodiversity. \n\n\n\nDATA VISUALIZATION (TRACK 2) \n\n\n\n\n\n\nGoal: Create compelling and informative visualizations of rainforest data. Your ​visualizations should not only be aesthetically appealing but also serve as powerful ​tools for storytelling and education\, highlighting key aspects of rainforest ​ecosystems. \nWhat you’ll do: Utilize the same rich datasets to design interactive charts\, maps\, or ​infographics that illustrate the complex relationships within the rainforest. Focus on ​clarity\, user engagement\, and innovative approaches to help viewers grasp detailed ​ecological data and its implications easily. \n  \n\n\n\nhttps://hack.biodivx.org/
URL:https://embed2scale.eu/event/hackathon-2024/
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://embed2scale.eu/wp-content/uploads/2024/06/Screenshot-2024-06-05-at-14.14.43.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240414
DTEND;VALUE=DATE:20240420
DTSTAMP:20260109T104650Z
CREATED:20240605T114911Z
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SUMMARY:EGU24 General Assembly
DESCRIPTION:Aims & scope\nThe EGU General Assembly 2024 brings together geoscientists from all over the world to one meeting covering all disciplines of the Earth\, planetary\, and space sciences. The EGU aims to provide a forum where scientists\, especially early career researchers\, can present their work and discuss their ideas with experts in all fields of geoscience.
URL:https://embed2scale.eu/event/egu24-general-assembly/
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://embed2scale.eu/wp-content/uploads/2024/06/How-to-prepare-for-EGU24-1400x800-1.png
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