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DTSTART;TZID=Asia/Dubai:20251008T100000
DTEND;TZID=Asia/Dubai:20251008T110000
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CREATED:20251001T095023Z
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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
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