BEGIN:VCALENDAR VERSION:2.0 PRODID:-//ESGRS - ECPv6.16.3//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:20260409T100000 DTEND;TZID=Asia/Dubai:20260409T110000 DTSTAMP:20260612T013142 CREATED:20260303T090847Z LAST-MODIFIED:20260409T161540Z UID:6388-1775728800-1775732400@www.esgrs.ae SUMMARY:ESA’s P-band SAR mission status one year after launch DESCRIPTION:The webinar will provide an update on ESA’s P‑band SAR mission one year after launch\, highlighting its key characteristics and in‑orbit performance. It will showcase the first scientific results\, including early insights into biomass mapping and subsurface imaging. The session will also explore emerging science applications\, with a focus on geology and desert environments. \n\nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Dr. Klaus ScipalBiomass Mission Manager at European Space AgencyDr. Klaus has twenty-five years of experience in earth science\, satellite remote sensing\, and technical innovation. He earned a Master’s in geodesy and a Doctorate in technical sciences from Vienna University of Technology. His professional journey includes positions as Assistant Professor at the Vienna University of Technology\, Research Scientist at the European Centre for Medium-Range Weather Forecasts in the UK\, and Mission Scientist at the European Space Agency’s Space Research and Technology Centre in the Netherlands. Since 2020\, Dr. Klaus has served as Mission Manager for the SMOS and BIOMASS satellite missions at ESA’s Center for Earth Observation in Italy. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/esas-p-band-sar-mission-status-one-year-after-launch/ LOCATION:Virtual CATEGORIES:2026,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2026/03/photo-space-o.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20260423T170000 DTEND;TZID=Asia/Dubai:20260423T180000 DTSTAMP:20260612T013142 CREATED:20260413T061057Z LAST-MODIFIED:20260423T153522Z UID:6413-1776963600-1776967200@www.esgrs.ae SUMMARY:Open-Source GeoAI for Earth Observation: Practical Tools for AI-Driven Analysis and Visualization DESCRIPTION:The rapid expansion of Earth observation data from satellites\, aerial platforms\, and cloud-based archives has created unprecedented opportunities for large-scale environmental monitoring and analysis. At the same time\, the volume\, complexity\, and velocity of these data demand new approaches that are both scalable and accessible. This presentation focuses on open-source GeoAI tools designed specifically for Earth observation applications\, highlighting how artificial intelligence can be integrated with geospatial data science to enable efficient\, reproducible\, and transparent workflows. The talk introduces the GeoAI Python package and its ecosystem\, which support a wide range of Earth observation tasks\, including land cover classification\, object detection\, semantic segmentation\, and change detection. Through real-world examples\, participants will see how open-source tools can streamline data access\, model development\, and interactive visualization. The integration with QGIS and web-based mapping frameworks further enables seamless analysis across desktop\, cloud\, and browser environments. \n\nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Dr. Qiusheng WuAssociate Professor at University of TennesseeDr. Qiusheng Wu is an Associate Professor in the Department of Geography & Sustainability at the University of Tennessee\, Knoxville\, and an Amazon Scholar. His research focuses on open-source geospatial data science\, cloud computing\, and GeoAI for Earth observation. He is the creator and maintainer of widely used open-source Python packages\, including Geemap\, Leafmap\, SamGeo\, and GeoAI\, which enable scalable analysis and visualization of satellite and geospatial data. His work emphasizes building accessible\, reproducible tools that bridge artificial intelligence and Earth observation. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/open-source-geoai-for-earth-observation-practical-tools-for-ai-driven-analysis-and-visualization/ LOCATION:Virtual CATEGORIES:2026,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2026/04/BWImageMap.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20260505T100000 DTEND;TZID=Asia/Dubai:20260505T110000 DTSTAMP:20260612T013142 CREATED:20260430T083646Z LAST-MODIFIED:20260505T123004Z UID:6428-1777975200-1777978800@www.esgrs.ae SUMMARY:GeoAI for Environmental Management DESCRIPTION:Applications of various AI-based models for environmental management\, including deforestation monitoring\, urban tree cover change and canopy height prediction\, forest health assessment\, nature resources management\, and a brief about advanced Foundation models and LLMs. \n\nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Dr. Pulakesh DasTechnical Lead in GIS Division at Madhya Pradesh State Electronics Development CorporationDr. Pulakesh Das received his PhD degree in 2019 from the Indian Institute of Technology Kharagpur\, India. He did postdoctoral research in the School of Forest Resources at the University of Maine\, USA. Pulakesh holds a master’s degree in Remote Sensing and GIS from Vidyasagar University\, India. He has more than 13 years of experience in applying geoinformatics in environmental studies. He is currently working as a Technical Lead\, Agriculture in the GIS division at Madhya Pradesh State Electronics Development Corporation (MPSEDC)\, India. Previously\, he worked at the World Resources Institute India from December 2019 to January 2023. He taught for two years (from September 2017 to December 2019) in the Department of Remote Sensing & GIS at Vidyasagar University\, West Bengal\, India. He has authored 60 peer-reviewed research articles and book chapters. His work focuses on land use and land cover modelling\, deforestation monitoring\, forest health monitoring\, ecosystem resilience\, landscape restoration\, hydrological modelling\, agriculture practices monitoring\, crop damage assessment\, natural resources management\, and climate change impact studies. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/geoai-for-environmental-management/ LOCATION:Virtual CATEGORIES:2026,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2026/04/himgdr.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20260514T090000 DTEND;TZID=Asia/Dubai:20260514T103000 DTSTAMP:20260612T013142 CREATED:20260507T072503Z LAST-MODIFIED:20260515T040221Z UID:6445-1778749200-1778754600@www.esgrs.ae SUMMARY:Empowering the NexGen of Geospatial Intelligence Through Public-Private Partnerships DESCRIPTION:Join us for an introductory webinar highlighting the latest updates and capabilities of the GIQ platform and related UAE space ecosystem initiatives supporting academic\, startup\, and R&D entities. The session will showcase how researchers and innovation partners can leverage Earth Observation data\, AI-driven analytics\, and collaborative geospatial tools to support research\, innovation\, and operational applications across the UAE. \nThe webinar will also provide a brief overview of the UAE Space Agency programs focused on innovation\, capacity building\, and applied research. \nThis awareness-focused session is organized in response to growing interest from UAE universities\, startups\, and research teams seeking to better understand and utilize GIQ services and capabilities within their research and development activities. \n\nView Recording\n\n\n \n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Eng. Naser Al RashdiManager of the National Space Academy at UAE Space AgencyEng. Naser Al Rashdi is an Emirati executive with over 21 years of public sector experience in space\, AI\, cybersecurity\, and ICT governance and policymaking. He leads the National Space Academy\, serves on boards of trustees for government authorities\, sits on the advisory board of MBZUAI\, and is an adjunct instructor at MBRSG and PwC Academy. He has shaped more than 50 national policies and regulations\, managed major strategic projects\, and led multiple talent development programs\, as well as international collaborations and regulatory initiatives for the UAE and the wider region. \n\n \n \n \n\n \n \n \n \n \n \n \n Eng. Sultan Mohammed Al ZeidiGIQ Sponsorship Manager / UAE Space Data Center Oversight & Governance Manager at UAE Space AgencyEng. Sultan Al Zeidi is part of the Space Projects Management Section at the UAE Space Agency\, where he serves as Oversight & Governance Manager for two space projects: Arab Satellite 813 and GIQ.AE. Since January 2023\, he has served as the UAE representative to the International Disasters Charter Executive Secretariat\, bringing over a decade of experience in government-funded aerospace programs. He contributes to strategic national space initiatives with a focus on Earth Observation and space data analytics. His work spans space projects development & oversight\, and cross-sector collaboration to support the UAE’s growing space ecosystem. He has contributed to national initiatives\, including Arab Satellite 813\, the UAE-led first Arab cooperative earth observation satellite\, GIQ.AE\, an AI-powered satellite imagery platform recognized with the UAE Government Future Fit Seal\, and the Space Analytics and Solutions Program\, which drives innovation through funding\, mentorship\, and public-private partnerships. With a strong foundation in systems engineering and extensive experience in project sponsorship\, R&D governance\, and public–private partnerships\, he is dedicated to translating advanced technologies into sustainable national impact. \n\n \n \n \n\n \n \n \n \n \n \n \n Dr. Ani ShtyllaSenior Product Owner at Space42Product leader with 14+ years of experience delivering geospatial\, AI\, and Earth Observation products across private sector\, humanitarian\, and international development contexts. Currently Senior Product Owner at Space42\, leading AI-driven geospatial product strategy\, roadmap development\, and alignment between engineering\, data science\, and business teams. Skilled in translating complex technical and business needs into user-focused products\, with expertise in GeoAI\, satellite data\, product strategy\, ML Ops\, and data-driven platform development. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/empowering-the-nexgen-of-geospatial-intelligence-through-public-private-partnerships/ LOCATION:Virtual CATEGORIES:2026,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2026/05/UAEspaceWebinarESGRS_0705.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20260603T100000 DTEND;TZID=Asia/Dubai:20260603T110000 DTSTAMP:20260612T013142 CREATED:20260512T041539Z LAST-MODIFIED:20260603T115739Z UID:6454-1780480800-1780484400@www.esgrs.ae SUMMARY:Artificial Intelligence and Machine Learning for Agriculture Analytics DESCRIPTION:AI/ML plays a crucial role in agriculture analytics\, especially in geospatial crop monitoring and mapping. In your research-based talk\, machine learning models will be covered for classifying crops using multi-sensor temporal datasets such as optical and SAR data. Talk will cover various types of issues while mapping specific crops as well as monitoring at sowing/harvesting and crop-burning fields. Issues can be within crop heterogeneity\, spectral overlap\, mixed pixel problem\, minimum training data use\, etc. AI techniques improve the detection of crop phenology and growth stages using time-series satellite imagery. Transfer learning can be applied to improve crop mapping accuracy with limited ground truth data. AI supports the detection and monitoring of stubble burning using satellite-based indicators. Integration of geospatial datasets with ML enables efficient acreage estimation and crop type discrimination. Advanced analytics help in understanding spatial variability for better resource and water management. Overall\, AI/ML strengthens precision agriculture\, food security assessment\, and policy-level decision support. \n\nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Dr. Anil KumarGroup Head\, Geo-spatial Technology & Program Outreach at The Indian Space Research Organisation (ISRO)Anil Kumar is a scientist/engineer “G” and the Group Head Geo-spatial Technology and Program Outreach of Indian Institute of Remote Sensing (IIRS)\, ISRO\, Dehradun\, India. He received his BTech degree in civil engineering from IET affiliated to the University of Lucknow\, India\, and his M.E. degree as well as his PhD in soft computing from the Indian Institute of Technology\, Roorkee\, India. So far\, he has guided 13 PhD theses\, and six more are in progress. He has also guided several dissertations of MTech\, MSc\, BTech\, and postgraduate diploma courses. He always loves to work with PhD scholars\, Master’s\, and Graduate students for their research work\, and motivates them to adopt a research-oriented professional career. He received the Pisharoth Rama Pisharoty award for contributing state of the art fuzzy based algorithms for earth observation data. His current research interests are in the area of soft computing-based machine learning\, deep learning for single date and temporal multi-sensor remote sensing data for specific class identification and mapping through in-house development of the SMIC tool. He also works in the area of digital photogrammetry\, GPS/GNSS\, and LiDAR. He has written two books on ‘Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification’ & Multi-Sensor and Multi-Temporal Remote Sensing-Specific Single Class Mapping with CRC Press. Won a challenge like Kritagya DA & FW Hackathon conducted by the Ministry of Agriculture\, New Delhi\, India\, and Finalist of ‘ISRO immersion Challenge AI for Space and Geospatial conducted by NRSC-ISRO\, Hyderabad\, and IIIT Hyderabad. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/artificial-intelligence-and-machine-learning-for-argiculture-analytics/ LOCATION:Virtual CATEGORIES:2026,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2026/05/satellite-5994941920.jpg END:VEVENT END:VCALENDAR