BEGIN:VCALENDAR VERSION:2.0 PRODID:-//ESGRS - ECPv6.18.2//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:ESGRS X-ORIGINAL-URL:https://esgrs.ae X-WR-CALDESC:Events for ESGRS REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Asia/Dubai BEGIN:STANDARD TZOFFSETFROM:+0400 TZOFFSETTO:+0400 TZNAME:+04 DTSTART:20250101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20260812T170000 DTEND;TZID=Asia/Dubai:20260812T180000 DTSTAMP:20260813T114004Z CREATED:20260728T105554Z LAST-MODIFIED:20260813T114004Z UID:6517-1786554000-1786557600@esgrs.ae SUMMARY:GeoAI in Geospatial Research: Challenges and Opportunities DESCRIPTION:Since its introduction in 2017\, Geospatial Artificial Intelligence (GeoAI) has grown rapidly in remote sensing and GIS research. This technology does not just introduce a new topic; it changes how we approach geospatial science by prioritizing predictive power over scientific understanding. This webinar reviews the history of AI in GIS and highlights recent major accomplishments. We will explore new research opportunities and discuss the challenges that could hinder GeoAI or impact the future of geospatial research and education. \n\nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Prof. May YuanAshbel Smith Professor of Geospatial Information Science at The University of Texas at DallasMay Yuan is the Ashbel Smith Professor of Geospatial Information Sciences in the School of Economic\, Political\, and Policy Sciences at the University of Texas at Dallas\, with all her degrees in Geography: B.S. 1987 from National Taiwan University\, and M.S. 1992\, and Ph.D. 1994 from the State University of New York at Buffalo. She is an elected fellow of the American Association for the Advancement of Science\, the American Association of Geographers\, and the University Consortium of Geographic Information Science. She currently serves as the Editor-in-Chief of the International Journal of Geographical Information Science.  Previously\, she served as a program director for Human-Environment and Geographic Science at the U.S. National Science Foundation (2022-2025)\, on Scientific Advisory Committee of the Geospatial Science and Human Security Division at Oak Ridge National Laboratory (2020-2025)\, NOAA’s Environmental Information Working Group (2016-2022)\, Landsat Advisory Group (2019-2022)\, National Geospatial Advisory Committee (2016-2021)\, and Editorial Board of Annals of American Association of Geographers (2005-2017) and as President of the Cartography and Geographic Information Society (2019-2020) and of the University Consortium for Geographic Information Science (2011-2012). Her research has been supported by NSF\, NASA\, DoD\, DHS\, DOJ\, DOE\, NOAA\, USGS\, NIST\, and NIH. She and her students at the Geospatial Analytics and Innovative Applications Lab explore ways to understand the dynamics of people\, events\, and places\, and how interactions between spatial behaviors and the environment affect brain health and cognitive development. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://esgrs.ae/wevent/geoai-in-geospatial-research-challenges-and-opportunities/ LOCATION:Virtual CATEGORIES:2026,Webinars ATTACH;FMTTYPE=image/jpeg:https://esgrs.ae/wp-content/uploads/2026/07/09-1000523-g006.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20260917T100000 DTEND;TZID=Asia/Dubai:20260917T110000 DTSTAMP:20260921T081325Z CREATED:20260914T050403Z LAST-MODIFIED:20260921T081325Z UID:6583-1789639200-1789642800@esgrs.ae SUMMARY:Earth Observation for Disaster Intelligence: From Satellite Data to Rapid Response DESCRIPTION:Earth Observation for Disaster Intelligence: From Satellite Data to Rapid Response presents the growing role of satellite-based Earth Observation (EO) in disaster risk reduction\, monitoring\, response\, and recovery. The lecture highlights how optical\, SAR\, and other satellite data can provide timely information for identifying hazards\, mapping affected areas\, detecting changes\, and assessing disaster impacts. It will showcase operational applications and case studies from the MBRSC lab\, including floods\, landslides\, earthquakes\, volcanic eruptions\, glacier-related events\, and forest fires. The lecture will also discuss the role of the International Disaster Charter and Sentinel Asia in providing rapid satellite data and supporting coordinated humanitarian response. Through practical examples of satellite image processing\, modelling\, change detection\, and damage assessment\, the presentation demonstrates how Earth Observation can transform satellite data into actionable information for rapid decision-making\, emergency response\, and long-term disaster resilience. \n\nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Dr. Surya Deb ChakrabortySenior Analyst at MBRSC Lab\, University of DubaiDr. Surya Deb Chakraborty is a Remote Sensing and GIS expert\, Earth Observation Scientist\, and AI for Geospatial Innovation specialist\, currently serving as a Senior Analyst at the MBRSC Lab\, University of Dubai\, where his work focuses on Earth Observation\, disaster monitoring\, environmental intelligence\, and advanced geospatial applications. With 15+ years of experience across remote sensing\, GIS\, and Earth Observation\, he has worked with leading organizations including ICRISAT (UN)\, NRSC–ISRO\, MNCFC\, RRSC–ISRO\, the IISc–ISRO Space Technology Cell\, and Esri India\, contributing to research\, professional training\, and real-world geospatial solutions. He holds a Ph.D. in Remote Sensing/Geo-Engineering from NRSC–ISRO\, an M.Tech in Remote Sensing from IIRS–ISRO\, and an M.Sc. in Geography. His expertise spans SAR\, thermal and hyperspectral remote sensing\, disaster monitoring\, urban climate\, precision agriculture\, environmental assessment\, AI/ML\, and geospatial analytics. He has delivered 400+ professional training sessions and trained more than 10\,000 professionals\, and in 2026 he served as an MBRSC-led trainer for Sentinel Asia\, delivering hands-on training on Flood Mapping Using SAR Satellite Data in QGIS as part of the Sentinel Asia Joint Project Team Meeting. His research and professional contributions have received international recognition\, including the Young Scientist Award/KIT Young Scientist Fellowship from Karlsruhe Institute of Technology\, Germany\, and most recently the Research Excellence Award from Environmental Scientists for his contributions to Remote Sensing and Environmental Science. His research has also been recognized through publications and international scientific contributions. His current research focuses on integrating AI\, Earth Observation\, and advanced geospatial analytics to develop practical solutions for disaster resilience\, environmental sustainability\, precision agriculture\, and responsible space applications.   \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://esgrs.ae/wevent/earth-observation-for-disaster-intelligence-from-satellite-data-to-rapid-response/ LOCATION:Virtual CATEGORIES:2026,Webinars ATTACH;FMTTYPE=image/jpeg:https://esgrs.ae/wp-content/uploads/2026/09/pex_fir.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20260929T100000 DTEND;TZID=Asia/Dubai:20260929T110000 DTSTAMP:20260929T083321Z CREATED:20260921T091729Z LAST-MODIFIED:20260929T083321Z UID:6610-1790676000-1790679600@esgrs.ae SUMMARY:Advancing Coastal Hazard Monitoring\, Modelling\, and Resilience Assessment from Space DESCRIPTION:This webinar will explore how satellite Earth observation\, in-situ measurements\, numerical modelling\, and artificial intelligence can be integrated to monitor coastal hazards and assess resilience under a changing climate. It will highlight the use of next-generation satellite missions\, including SWOT\, to understand shoreline dynamics\, extreme events\, coastal erosion\, and sea-level rise\, with the Normandy coast of NW France presented as a case study. The session will also introduce the emerging concept of digital coastal twins\, demonstrating how integrated observation and modelling approaches can support hazard forecasting\, climate-change scenario assessment\, and resilience-informed coastal adaptation. \n\nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Prof. Imen TurkiProfessor & Senior Researcher at Rouen Normandy UniversityProf. Imen Turki is an expert in coastal oceanography\, natural hazards\, and shoreline evolution\, specializing in the integration of satellite Earth Observation\, numerical modelling\, and in-situ data to monitor coastal dynamics and assess resilience. She is a member of the SWOT Science Team and co-leads coastal applications of the Surface Water and Ocean Topography (SWOT) mission (JPL–CNES). She also contributes as an expert to UNESCO’s Intergovernmental Oceanographic Commission (IOC) and represents France in an international UN Ocean Decade committee. Her current research focuses on combining Earth Observation\, modelling\, and artificial intelligence to develop Digital Coastal Twins for coastal hazard assessment\, climate adaptation\, and resilience.   \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://esgrs.ae/wevent/advancing-coastal-hazard-monitoring-modelling-and-resilience-assessment-from-space/ LOCATION:Virtual CATEGORIES:2026,Webinars ATTACH;FMTTYPE=image/jpeg:https://esgrs.ae/wp-content/uploads/2026/09/arealndsat.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20261007T100000 DTEND;TZID=Asia/Dubai:20261007T110000 DTSTAMP:20261013T063545Z CREATED:20260921T092306Z LAST-MODIFIED:20261013T063545Z UID:6618-1791367200-1791370800@esgrs.ae SUMMARY:From Polaris to Precision GNSS and LEO Navigation Satellites: The Evolution of Positioning for a Connected World DESCRIPTION:An engaging webinar exploring humanity’s journey in navigation—from using Polaris\, the North Star\, as a timeless guide to today’s Global Navigation Satellite Systems (GNSS) and the emerging role of Low Earth Orbit (LEO) navigation satellites. \nWith more than 120 operational navigation satellites transmitting diverse multi-frequency signals from several global and regional constellations\, GNSS has become a fundamental technology for precise positioning\, navigation\, timing\, and Earth observation. This webinar will introduce the principles of modern GNSS positioning and highlight recent advances in real-time precise orbit and clock estimation\, atmospheric-delay modelling and prediction\, and high-accuracy positioning services. \nParticipants will also discover how GNSS is transforming scientific research and practical applications\, including terrestrial reference-frame maintenance\, monitoring plate tectonics and crustal deformation\, precise low-Earth-orbit determination\, ionospheric activity monitoring\, GNSS meteorology\, GNSS seismology\, and innovative GNSS remote sensing using reflected signals (GNSS-R). \nWhether you are a student\, researcher\, surveyor\, GIS professional\, or remote-sensing enthusiast\, this webinar will provide a clear and inspiring view of how satellite navigation is shaping a more accurately mapped\, monitored\, and connected world. \n\nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Dr. Mohamed FreeshahAssistant Professor at United Arab Emirates UniversityDr. Freeshah received a B.Eng. in Surveying Engineering from Benha University\, Egypt\, in 2010\, and an MSc in Geodesy and Surveying from the same university in 2016. He earned his PhD from LIESMARS\, Wuhan University\, China\, in 2021\, followed by a Postdoctoral Fellowship at the School of Geodesy and Geomatics\, Wuhan University. Since 2024\, he has been an Assistant Professor at United Arab Emirates University (UAEU). His research focuses on interdisciplinary Earth system science. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://esgrs.ae/wevent/from-polaris-to-precision-gnss-and-leo-navigation-satellites-the-evolution-of-positioning-for-a-connected-world/ LOCATION:Virtual CATEGORIES:2026,Webinars ATTACH;FMTTYPE=image/jpeg:https://esgrs.ae/wp-content/uploads/2026/09/netglobesunplanet.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20261022T110000 DTEND;TZID=Asia/Dubai:20261022T120000 DTSTAMP:20261022T102101Z CREATED:20261015T103357Z LAST-MODIFIED:20261022T102101Z UID:6709-1792666800-1792670400@esgrs.ae SUMMARY:Drone mapping: at the crossroad of remote sensing\, artificial intelligence and big data analytic DESCRIPTION:The technological development of sensors and electronic devices in the last decade has allowed the acquisition of higher-resolution and larger datasets with drone platforms in several applications. Despite the initial challenges in handling larger amounts of data\, this has paved the way for developing more advanced data processing techniques and delivering higher-quality and (near) real-time information to end-users. \nIn this presentation\, some of these solutions will be presented\, showing how the integration of different domains\, such as remote sensing\, artificial intelligence and big data analytics\, has led to efficient products in several contexts. Urban monitoring\, road and infrastructure inspection\, indoor mapping and patrolling for search and rescue are some of the applications that will be considered. It will also be presented how the combination of edge and remote processing\, or the integration of “hand-crafted” and deep learning techniques\, can often be the solution to deliver more efficient and fit-for-purpose solutions. \n\nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Prof. Francesco NexFull Professor in Real-time Geospatial AI at University of TwenteProf. Francesco Nex is currently a Full Professor in the Geoinformatics Department at the University of Twente\, holding the chair of real-time Geospatial AI. Francesco Nex received his master degree in Environmental Engineering (2006) and his PhD degree (2010) from the TU Turin (Italy). From 2011 to 2015 he was with the 3DOM unit of FBK (Italy) working as Marie-Curie Post-Doc in the CIEM Project from 2011 to 2014 and then as Researcher. In 2015\, Francesco moved to the University of Twente\, before as Assistant Professor and later as Associate Professor at the faculty of Geo-Information Science and Earth Observation (ITC). His research focuses on the development of innovative solutions fusing elements from photogrammetry\, deep learning and adjacent domains such as robotics to innovation in the GeoSpatial domain. His aim is to integrate geometric and semantic information with other data sources\, creating transferable solutions for real-world applications in disaster management\, infrastructure monitoring\, and precision farming. He was involved in several European and national research projects dealing with the use of UAV data for remote sensing applications. He coordinated the UAV centre of the University of Twente. He was the Chairman of the ICWG II/Ia (Autonomous sensing systems and their applications) of the ISPRS (International Society of Photogrammetry and Remote Sensing) from 2016 to 2026\, and he was PI of several different ISPRS scientific and education initiatives. He chaired more than 20 conferences and workshops\, and he is Associate Editor of the ISPRS Journal\, Remote Sensing and Drones. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://esgrs.ae/wevent/drone-mapping-at-the-crossroad-of-remote-sensing-artificial-intelligence-and-big-data-analytic/ LOCATION:Virtual CATEGORIES:2026,Webinars ATTACH;FMTTYPE=image/jpeg:https://esgrs.ae/wp-content/uploads/2026/10/unp-drone-image-green.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20261028T110000 DTEND;TZID=Asia/Dubai:20261028T120000 DTSTAMP:20261013T070239Z CREATED:20261013T070239Z LAST-MODIFIED:20261013T070239Z UID:6700-1793185200-1793188800@esgrs.ae SUMMARY:AI-Driven Time-Series InSAR for Ground Deformation and Geohazard Monitoring DESCRIPTION:This webinar presents an AI-driven approach to time-series Interferometric Synthetic Aperture Radar (InSAR) for monitoring and understanding Earth surface deformation and supporting geohazard assessment. It will provide an overview of the principles of InSAR and multi-temporal analysis\, including the extraction and interpretation of deformation patterns from satellite radar observations over time. \nThe webinar will explore how Artificial Intelligence and Machine Learning can be integrated with InSAR time-series techniques to improve the detection\, characterization\, classification\, and prioritization of deformation signals and anomalous areas. Particular attention will be given to AI-based approaches for identifying persistent and emerging deformation hotspots\, distinguishing significant deformation patterns from noise and measurement uncertainties\, and transforming large-scale satellite observations into actionable information. \nPractical examples will be presented to demonstrate the potential of combining Sentinel-1 SAR data\, time-series InSAR processing\, and AI techniques for monitoring phenomena such as land subsidence\, ground instability\, landslides\, and other geohazard-related deformation processes. The webinar will also discuss challenges related to temporal variability\, atmospheric effects\, spatial and temporal resolution\, data quality\, and the generalization of AI models across different geographic and environmental conditions. \nFinally\, the webinar will highlight the potential of AI-driven InSAR as a scalable Earth Observation framework for continuous deformation monitoring\, early detection of abnormal surface movements\, geohazard assessment\, and the development of intelligent early-warning and decision-support systems. \n\nRegister Now\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Dr. Hind Zeyada Abdel Hamid EbrahimAI & Satellite Remote Sensing Research Scientist at National Authority for Remote Sensing and Space Sciences (NARSS)Dr. Hind Zeyada Abdel Hamid Ebrahim is an AI and Satellite Remote Sensing Research Scientist at the National Authority for Remote Sensing and Space Sciences (NARSS)\, Egypt. She holds a PhD in Computer and Systems Engineering\, with a specialization in Artificial Intelligence and SAR Remote Sensing. Her research focuses on AI-driven Earth Observation\, Synthetic Aperture Radar (SAR)\, time-series InSAR\, Earth surface deformation monitoring\, and geohazard assessment. She has extensive experience in developing deep learning and AI approaches for satellite imagery analysis\, including SAR-based oil spill detection and monitoring\, as well as Sentinel-2-based water body mapping and monitoring. Her research also covers environmental monitoring\, land cover analysis\, and the development of intelligent Earth Observation solutions. She is actively involved in academic teaching\, scientific research\, and the supervision of AI and remote sensing projects. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://esgrs.ae/wevent/ai-driven-time-series-insar-for-ground-deformation-and-geohazard-monitoring/ LOCATION:Virtual CATEGORIES:2026,Webinars ATTACH;FMTTYPE=image/jpeg:https://esgrs.ae/wp-content/uploads/2026/10/dwk-earth.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20261109T090000 DTEND;TZID=Asia/Dubai:20261109T153000 DTSTAMP:20260928T052651Z CREATED:20260928T051822Z LAST-MODIFIED:20260928T052651Z UID:6679-1794214800-1794238200@esgrs.ae SUMMARY:Exploring the World Through ArcGIS: Imagery\, GeoAI\, and Reality Mapping DESCRIPTION:Discover how imagery can become a powerful source of insight with ArcGIS. \nIn this workshop\, you’ll explore how to access\, manage\, visualize\, and analyze a wide range of imagery\, including satellite\, aerial\, drone\, elevation\, and raster data. You’ll see how ArcGIS brings these different imagery sources together and turns them into useful information for mapping\, monitoring\, analysis\, and decision making. You’ll also explore advanced imagery analysis\, GeoAI\, and Reality Mapping\, and learn how imagery can be transformed into accurate 2D and 3D products. Through hands on exercises\, you’ll put these capabilities into practice by managing imagery in ArcGIS Pro and applying an imagery analysis workflow to identify change and extract meaningful information from real world data. URL:https://esgrs.ae/wevent/exploring-the-world-through-arcgis-imagery-geoai-and-reality-mapping/ LOCATION:Mohammed Bin Rashid Space Centre CATEGORIES:Workshops ATTACH;FMTTYPE=image/jpeg:https://esgrs.ae/wp-content/uploads/2026/09/sat-img-area-green.jpg END:VEVENT END:VCALENDAR