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: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 END:VCALENDAR