BEGIN:VCALENDAR VERSION:2.0 PRODID:-//ESGRS - ECPv6.16.4.1//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:20200101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20210601T100000 DTEND;TZID=Asia/Dubai:20210601T110000 DTSTAMP:20240513T051033Z CREATED:20210601T095518Z LAST-MODIFIED:20240513T051033Z UID:3465-1622541600-1622545200@www.esgrs.ae SUMMARY:Contribution of GIS and remote sensing technologies to an integrated coastal and marine environmental management framework DESCRIPTION:The coasts and islands that flank the United Arab Emirates (UAE)\, host an important number of benthic habitats; seagrass beds and coral reefs that should be the focus of conservation actions. Well-designed conservation and management plans require efficient monitoring systems that include mapping the extent and location of the major habitats and also understanding their status and trends over time. The coastal waters of the UAE are optically complex and heterogeneous\, thus providing a challenging environment for mapping and monitoring seagrass beds and coral reefs. This is due to the similarity in reflectance characteristics of benthic features such as seagrass\, corals and macroalgae. The mapping limitations are mainly faced by broadband multispectral sensors usually advantageous for their affordability. These challenges are taken on by providing more accurate knowledge on the UAE benthic habitats’ spatial distribution and more insights into their temporal variations. Advances in GIS\, remote sensing instrumentation\, data availability\, and processing methods are presented and discussed. Additional tools to better evaluate and monitor the conditions of the UAE’s marine environment are presented. An integrated framework for future investigations that are at the forefront of contemporary marine environment science and management issues is suggested.\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n DR. HAIFA BEN-ROMDHANEVISITING ASSISTANT PROFESSORHaïfa Ben-Romdhane is presently a visiting assistant professor to the department of Geography and Planning\, and the Environment: Dynamics of Territories and Societies programme at the Paris Sorbonne University Abu Dhabi. Dr. Ben-Romdhane received her PhD in Interdisciplinary Engineering (2016) from the Masdar Institute of Science and Technology in collaboration with Massachusetts Institute of Technology. She conducted her master’s studies at the Atmosphere and Ocean Research Institute of the University of Tokyo\, Japan\, and received her MSc degree in Aquatic Biosciences – Ecology\, Behaviour and Observation Systems (2009). Before that\, she received her BEng degree in Marine Environmental Engineering (2005) from the National Agronomic Institute of Tunisia. Before joining Sorbonne University\, she was a researcher at the Research Centre for Renewable Energy Mapping and Assessment (ReCREMA)\, Khalifa University\, Masdar Campus. Before joining Khalifa University\, she worked as a project manager\, data processing and data quality specialist at the Military Survey Department – Bayanat for Mapping and Surveying Services\, Abu Dhabi\, UAE. Her expertise falls in the fields of statistical methods and image processing with applications in the general fields of environmental data analysis\, land use\, land cover\, change detection and analysis\, time series analysis of environmental and climatic variables\, water resources monitoring\, etc. Her aspirations are to help protect the ocean and marine environments through the establishment of adaptive management plans\, highlighting the role of science to provide a basis for robust decision-making against urgent problems and long-term management outcomes. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/contribution-of-gis-and-remote-sensing-technologies-to-an-integrated-coastal-and-marine-environmental-management-framework/ CATEGORIES:2021,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/07/maritimeoge.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20210615T100000 DTEND;TZID=Asia/Dubai:20210615T110000 DTSTAMP:20240513T052427Z CREATED:20210615T092011Z LAST-MODIFIED:20240513T052427Z UID:3467-1623751200-1623754800@www.esgrs.ae SUMMARY:Earth Observation in the New Space Age DESCRIPTION:The “NewSpace” age has been a great disruptor of the earth observation industry ecosystem over the last few years\, more so in the last three years with several new startups announcing plans to develop constellations of microsatellites with the ability to provide very high spatial resolution data. This competition is significantly accelerating innovation in both hardware and software\, thereby contributing to the enhancement of the quality of data. The amount of high-resolution data is significantly increasing both from optical and radar satellites. Along with the spatial resolution\, the concept of constellations has greatly improved the temporal resolution of the data and this is expected to get better with the launch of new constellations and adding more satellites to the existing constellations such as Planet\, ICEYE\, Satellogic\, etc. In parallel to the data explosion\, the field of machine learning has gone through a significant disruption due to the improving hardware capabilities and the exponential growth of deep learning architectures. This is greatly supporting the processing of the large amount of data becoming available from the satellites. In line with these developments\, this talk explores how data and the corresponding processing architectures are expected to be handled in the future with an outlook on opportunities that can be created.\n \nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n DR. PRASHANTH MARPUTECH LEAD OF SPACE PROGRAM AT GROUP 42Dr. Prashanth Marpu is the Tech Lead of Space Program at Group 42\, Abu Dhabi\, United Arab Emirates. Prior to joining G42\, he was an Associate Professor in the Department of Electrical Engineering and Computer Science and Manager of YahSat Space Lab at Khalifa University of Science and Technology\, Abu Dhabi\, UAE. His specialization is in small satellites\, image processing\, machine learning\, remote sensing and internet of things. Before coming to the UAE\, Dr. Marpu worked as a researcher at the University of Iceland and at the University of Pavia\, Italy\, where he was a Marie Curie Fellow working on developing advanced methods for earth observation data analysis. He holds a PhD in Remote Sensing from TU Freiberg\, Germany\, and MSc in Wireless Engineering from the Technical University of Denmark. He was involved in designing and building small satellites as a project manager of four satellite programs MYSat-1\, DhabiSat\, MeznSat and Light-1 while participating as an advisor and reviewer for several other satellite programs. He has also actively contributed to the development of novel approaches for processing remote sensing data for a wide range of applications. Dr. Marpu has been a Council member of the International Society of Digital Earth since 2020 and has been part of several international committees related to Earth Observation technologies. He has contributed to more than 150 publications in various journals and conferences and has been actively involved in the space and remote sensing educational activities. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/earth-observation-in-the-new-space-age/ CATEGORIES:2021,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/07/6.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20210629T100000 DTEND;TZID=Asia/Dubai:20210629T110000 DTSTAMP:20240513T061835Z CREATED:20210629T095504Z LAST-MODIFIED:20240513T061835Z UID:3466-1624960800-1624964400@www.esgrs.ae SUMMARY:Automated Surveying Using AI & Google Maps Satellite Imagery DESCRIPTION:In this session\, InfraLytiks will present some very interesting capabilities and case studies for automation and Artificial Intelligence (AI) case studies for Satellite Data based automated surveying. The focus will be on a case study have been successfully developed and completed by InfraLytiks for engineering surveying & planning. AI has been used to automatically identify and generate shapefiles for objects of interest for surveying such as road attribute detection\, tress cover\, water body & structure types identification from Google Maps API. A live demo will also be performed to showcase the AI algorithm in actions along with additional software features. InfraLytiks is a complex data analytics and automation company based in the USA & UAE that specializes in engineering-based data analytics and development of custom software products.\n \nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n AKASH VIDYADHARANCHIEF TECHNOLOGY OFFICERFounder & CTO of InfraLytiks · 4+ years of successful company operations in USA · Experience in leading ML\, AI\, Automation & Software Development · Experience in Robotics & Drone Development & Automation · BS Aerospace Engineering · MS Aerospace Engineering · M.Eng. Systems Engineering · Iowa State University\, USA \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/automated-surveying-using-ai-google-maps-satellite-imagery/ CATEGORIES:2021,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/07/7.jpg END:VEVENT END:VCALENDAR