BEGIN:VCALENDAR VERSION:2.0 PRODID:-//ESGRS - ECPv6.16.5.1//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:20260423T170000 DTEND;TZID=Asia/Dubai:20260423T180000 DTSTAMP:20260423T153522Z 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:20260505T123004Z 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:20260515T040221Z 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:20260603T115739Z 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 BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20260629T100000 DTEND;TZID=Asia/Dubai:20260629T110000 DTSTAMP:20260629T112108Z CREATED:20260624T154324Z LAST-MODIFIED:20260629T112108Z UID:6476-1782727200-1782730800@www.esgrs.ae SUMMARY:Beyond the Fringe: Pushing the Boundaries of Precision in Earth Observation DESCRIPTION:This webinar explores the frontiers of Synthetic Aperture Radar (SAR) Earth observation\, moving beyond conventional InSAR to advanced techniques that redefine measurement precision. We know that multi-stack PSInSAR reveals millimeter-scale urban subsidence and structural instability\, but it is less well known that SAR coherence analysis enables rapid change detection\, for example in conflict and disaster zones. The session further introduces SAR geodesy for centimeter-to-decimeter absolute positioning without ground control points\, showcasing the path for  enabling GCP-free mapping. This talk bridges interferometric phase analysis with precise geodetic positioning and reveals how modern SAR is transforming from a displacement tool into a comprehensive geodetic observation system. \n\nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Prof. Timo BalzVice-Director of the International Academy of GeoInformation at Wuhan UniversityTimo Balz was born in Stuttgart\, Germany. He received the Diploma degree (Dipl.-Geogr.) in geography and the Doctoral degree (Dr.-Ing.) in aerospace engineering and geodesy from the University Stuttgart\, Stuttgart\, in 2001 and 2007\, respectively. From fall 2001 to the end of 2007\, he was a Research Assistant with the Institute for Photogrammetry\, University Stuttgart. Between 2004 and 2005\, he was a Visiting Scholar with Wuhan University\, Wuhan\, China. From 2008-2010\, he was a Postdoctoral Research Fellow with the State Key Laboratory of Information Engineering in Surveying\, Mapping and Remote Sensing (LIESMARS)\, Wuhan University. From 2010-2015\, he was an Associate Professor for Radar Remote Sensing with LIESMARS. Since 2015\, he has been a Full Professor with LIESMARS. Since 2021\, he has been Vice-Director of the International Academy of GeoInformation\, Wuhan University. He serves as Associate Editor for the IEEE Geoscience and Remote Sensing Magazine and MDPI’s Remote Sensing. He is a member of the editorial board of Geo-Spatial Information Science and the Journal of Digital Earth. He is Chair of an ISPRS Commission I Working Group on SAR from 2016-2022 and again from 2022-2026. He has authored and co-authored more than 150 scientific articles in journals\, books\, and conference proceedings. Timo Balz’s research interests include surface motion estimation with SAR\, data visualization\, SAR geodesy\, and SAR-optical fusion. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/beyond-the-fringe-pushing-the-boundaries-of-precision-in-earth-observation/ LOCATION:Virtual CATEGORIES:2026,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2026/06/EOImageSatellite.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20260707T100000 DTEND;TZID=Asia/Dubai:20260707T110000 DTSTAMP:20260707T100331Z CREATED:20260702T102922Z LAST-MODIFIED:20260707T100331Z UID:6489-1783418400-1783422000@www.esgrs.ae SUMMARY:Climate Change and Dust Monitoring from Space: Advancing Earth Observation for Resilience in Arid and Semi-Arid Regions DESCRIPTION:Arid and semi-arid regions are among the most vulnerable environments to climate change\, land degradation\, water stress\, heat extremes\, and atmospheric dust. This webinar will explore how satellite Earth observations\, remote sensing\, GIS\, climate modeling\, and data science can be used to monitor climate-related hazards and support evidence-based decision-making. Special attention will be given to dust dynamics\, air quality\, desertification\, land surface changes\, coastal and marine vulnerability\, and the broader impacts of climate change across the MENA region. \nDrawing on regional and international examples\, including applications from Egypt\, the Arabian Peninsula\, and the Mediterranean region\, the presentation will highlight how space-based observations can improve our understanding of interconnected Earth system processes and support climate resilience\, sustainable development\, and adaptation planning. The webinar will also discuss the growing role of artificial intelligence\, geospatial analytics\, and integrated risk assessment in transforming satellite data into actionable knowledge for governments\, researchers\, and environmental decision-makers. \n\nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Prof. Hesham El-AskaryDirector Earth Systems Science and Data Solutions Lab at Chapman UniversityProf. Hesham M. El-Askary is a Professor of Earth Systems Science and Remote Sensing at Chapman University and Director of the Earth Systems Science and Data Solutions Lab. He is also the former Vice President for Special Projects and Space Missions at the Egyptian Space Agency. Currently\, he serves as an Advisor to the Director General of ICESCO\, a consultant and science lead for the UN International Organization for Migration\, and a consultant/advisor with UNESCO on open science and capacity-building initiatives. Prof. El-Askary is an internationally recognized Earth systems scientist with more than two decades of experience in remote sensing\, Earth Observation\, GIS\, climate change impacts\, environmental modeling\, natural hazards\, and data-driven solutions for sustainable development. He currently contributes to the Intergovernmental Panel on Climate Change Seventh Assessment Report cycle\, with a focus on climate change impacts\, adaptation\, vulnerability\, risk\, exposure\, and Mediterranean-region climate challenges. This builds on his earlier IPCC contribution to the Desertification chapter of the IPCC Special Report on Climate Change and Land. His research focuses on the use of satellite Earth observations\, geospatial analytics\, artificial intelligence\, and environmental modeling to understand complex interactions among the atmosphere\, land\, water\, coastal\, marine\, and human systems. His work has addressed sea-level rise\, land degradation\, desertification\, drought\, flash floods\, air quality\, dust storms\, coral reefs\, mangroves\, renewable energy\, water resources\, biodiversity\, and climate resilience across Egypt\, the MENA region\, and other vulnerable regions. Prof. El-Askary has led and contributed to major projects funded by NASA\, NSF\, USDA\, the European Union\, Horizon 2020\, and regional institutions. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/climate-change-and-dust-monitoring-from-space-advancing-earth-observation-for-resilience-in-arid-and-semi-arid-regions/ LOCATION:Virtual CATEGORIES:2026,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2026/07/climatec-cc.jpg END:VEVENT END:VCALENDAR