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:20240101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20251008T100000 DTEND;TZID=Asia/Dubai:20251008T110000 DTSTAMP:20260611T193453 CREATED:20251001T095023Z LAST-MODIFIED:20251008T090536Z UID:6292-1759917600-1759921200@www.esgrs.ae SUMMARY:Geospatial Innovation in Action: Mobile Mapping\, AI\, and Digital Twins for Adaptive Decision Support DESCRIPTION:Recent advances in mobile mapping systems have been driven by rapid improvements in sensor technology and platform integration\, enabling the efficient capture of high-resolution\, multi-modal geospatial data at unprecedented spatial and temporal scales. Coupled with developments in artificial intelligence and data analytics tools\, these systems now facilitate automated feature extraction\, pattern recognition\, and predictive modeling from vast and complex geospatial datasets. As a result\, there has been an explosion of potential applications across sectors seeking to leverage location-based intelligence\, from natural resource management to infrastructure monitoring. \nThese technological trajectories converge in the creation of multi-resolution digital twins—virtual replicas of the physical environment that integrate heterogeneous geospatial data streams into coherent\, scalable models. Digital twins provide a dynamic\, data-rich foundation for decision support\, enabling stakeholders to simulate scenarios\, evaluate trade-offs\, and optimize interventions. In digital forestry\, they can enhance forest inventory precision\, wildfire risk modeling\, and ecosystem monitoring. For transportation asset management\, digital twins offer continuous assessment of roadway and bridge conditions\, improving maintenance planning and safety outcomes. In urban development\, they guide sustainable planning\, optimize land use\, and evaluate the impacts of growth in real time. Along shorelines\, digital twins enable fine-grained monitoring of erosion\, flooding risks\, and ecosystem health\, supporting climate resilience strategies. \nTogether\, the integration of mobile mapping innovations\, AI-driven analytics\, and digital twin frameworks heralds a new era of data-driven decision-making\, where spatial intelligence informs more adaptive\, efficient\, and sustainable management of natural and built environments. \n\nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Prof. Ayman F. HabibProfessor of Civil Engineering at Purdue UniversityAyman Habib is the Thomas A. Page Professor at the Lyles School of Civil Engineering at Purdue University. He is the Co-Director of the Civil Engineering Center for Applications of UAS for a Sustainable Environment (CE-CAUSE). He is also the Associate Director of Purdue University’s Joint Transportation Research Program (JTRP) and Institute of Digital Forestry (iDiF). He received the M.Sc. and Ph.D. degrees in photogrammetry from The Ohio State University\, Columbus\, OH\, USA\, in 1993 and 1994\, respectively. His research interests include the fields of terrestrial and aerial mobile mapping systems using photogrammetric and LiDAR remote sensing modalities\, UAV-based 3D mapping\, and integration of multi-modal\, multi-platform\, and multi-temporal remote sensing data for applications in transportation\, infrastructure monitoring\, environmental protection\, precision agriculture\, digital forestry\, resource management\, and archeology. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/geospatial-innovation-in-action-mobile-mapping-ai-and-digital-twins-for-adaptive-decision-support/ LOCATION:Virtual CATEGORIES:2025,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2025/10/earth-3537401_1280.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20251028T100000 DTEND;TZID=Asia/Dubai:20251028T110000 DTSTAMP:20260611T193453 CREATED:20251009T041237Z LAST-MODIFIED:20251028T075454Z UID:6303-1761645600-1761649200@www.esgrs.ae SUMMARY:Hydro-geodesy of the Arabian Peninsula DESCRIPTION:Hydro-geodesy is an interdisciplinary scientific discipline that employs geodetic methodologies\, primarily satellite-based techniques\, to investigate the dynamics of water movement and the resultant land surface oscillations. The Arabian Peninsula is classified as a water-scarce region\, characterized by limited precipitation\, elevated evaporation rates\, and excessive groundwater extraction. Additionally\, it is surrounded by oceanic bodies that exhibit both seasonal fluctuations and long-term secular trends. These hydrological motions induce variations in stress on the Earth’s crust\, potentially leading to both short-term seasonal movements and long-term subsidence. Our recent research findings indicate that winter atmospheric loading also contributes significantly to the seasonal crustal movements. Such crustal deformations can pose significant challenges to the sustainability of human settlements and infrastructure. In the context of climate change\, increasing water demand\, and sea level rise scenarios\, a comprehensive understanding of hydro-geodesy within the Arabian Peninsula becomes crucial. Such knowledge is instrumental in addressing regional hydrological and infra-structural issues and in fostering sustainable development trajectories. In my talk\, I will present our research results based on Gravity Recovery and Climate Experiment (GRACE) and its Follow-On\, Global Navigation Satellite System (GNSS)\, Non-Tidal Atmospheric Loading (NTAL)\, and satellite altimetry datasets\, and discuss the groundwater decline rates\, sea level variability\, and the associated crustal movement in the Arabian Peninsula Region. \n\nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Dr. Muhammad UsmanAssistant Professor at Zayed UniversityDr. Muhammad Usman completed his MS and PhD at Hokkaido University (Japan) with the Japanese Government’s MEXT Scholarship. He also has two years of postdoc research experience at the King Abdullah University of Science and Technology (KAUST)\, Saudi Arabia. He won the Outstanding Student Presentation Award (OSPA) at the Japan Geoscience Union-American Geophysical Union (JpGU-AUG) joint meeting of 2017 in Makuhari Messe\, Chiba\, Japan. He won first prize in the “Student Paper Contest” at the Annual Technical Conference (ATC) 2011\, which was organized by the Pakistan Association of Petroleum Geoscientists (PAPG). He studies the water cycle\, ocean dynamics\, geodetic hazards\, geomorphology\, climate change\, and different physical parameters of the environment using remote sensing data and field surveys. He mainly uses Synthetic Aperture Radar (SAR)\, Global Navigation Satellite System (GNSS)\, Gravity Recovery and Climate Experiment (GRACE) Satellite\, Satellite Altimetry\, and various climatic data; Python\, MATLAB\, and Generic Mapping Tool (GMT) products. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/hydro-geodesy-of-the-arabian-peninsula/ LOCATION:Virtual CATEGORIES:2025,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2025/10/ground_water.jpg END:VEVENT END:VCALENDAR