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://www.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:20261022T110000 DTEND;TZID=Asia/Dubai:20261022T120000 DTSTAMP:20261015T103357Z CREATED:20261015T103357Z LAST-MODIFIED:20261015T103357Z UID:6709-1792666800-1792670400@www.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\nRegister Now\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://www.esgrs.ae/event/drone-mapping-at-the-crossroad-of-remote-sensing-artificial-intelligence-and-big-data-analytic/ LOCATION:Virtual CATEGORIES:2026,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.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@www.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://www.esgrs.ae/event/ai-driven-time-series-insar-for-ground-deformation-and-geohazard-monitoring/ LOCATION:Virtual CATEGORIES:2026,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.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@www.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://www.esgrs.ae/event/exploring-the-world-through-arcgis-imagery-geoai-and-reality-mapping/ LOCATION:Mohammed Bin Rashid Space Centre CATEGORIES:Workshops ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2026/09/sat-img-area-green.jpg END:VEVENT END:VCALENDAR