BEGIN:VCALENDAR VERSION:2.0 PRODID:-//ESGRS - ECPv6.16.5.1//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH 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:20220101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20250430T090000 DTEND;TZID=Asia/Dubai:20250430T100000 DTSTAMP:20250430T092321Z CREATED:20250328T070328Z LAST-MODIFIED:20250430T092321Z UID:5572-1746003600-1746007200@www.esgrs.ae SUMMARY:Leveraging AI and Remote Sensing (Optical\, Radar\, LiDAR\, and UAV) to Address Environmental and Ecosystem Challenges DESCRIPTION:This webinar will present a decade of pioneering research from Salehi-Geolab\, culminating in over 70 journal publications and nearly 100 presentations at esteemed international conferences. The focus of the webinar is to explore the integration of machine learning and computer vision techniques with remote sensing data\, aiming to enhance our understanding of ecosystem dynamics influenced by human activity and climate change across urban\, state\, and national scales. \nWe will showcase our advancements in monitoring key ecosystems such as wetlands\, forests\, inland waters\, and urban forestry\, utilizing cutting-edge machine learning methodologies and big data analytics. Key highlights will include our national wetland classification initiative in Canada\, utilizing SAR and multispectral imagery\, alongside forest height and aboveground biomass estimation for the northeastern United States through space-borne LiDAR\, SAR\, and optical data\, integrated with deep learning models. Additionally\, we will present our innovative work in water quality monitoring\, leveraging data from UAVs\, field sensors\, and satellites. The webinar will also feature our deep learning framework for the automatic 3D modeling of individual trees in urban and forest environments\, which includes the detection and parameter estimation (e.g.\, volume\, crown area\, height\, and biomass) using UAV LiDAR and photogrammetry. \nThrough this session\, we aim to provide insights into the transformative potential of advanced remote sensing technologies and machine learning in environmental monitoring and management. \n\nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Dr. Bahram SalehiAssociate Professor of Remote Sensing Engineering and Graduate Students Coordinator at State University of New York College of Environmental Science and ForestryDr. Bahram Salehi is Associate Professor of Remote Sensing Engineering and graduate student’s coordinator at the State University of New York College of Environmental Science and Forestry (ESF). He holds a PhD in Geomatics Engineering – Remote Sensing from the University of New Brunswick\, Canada (2012). With over 20 years of academic and industrial experience\, Dr. Salehi is a globally recognized expert in remote sensing\, specializing in artificial intelligence (AI) and machine learning for processing multispectral\, radar\, lidar\, and UAV data to monitor environmental changes at regional and national levels. He is internationally recognized for his pioneering work in remote sensing of wetlands\, including the development of high-resolution nationwide wetland inventory of Canada (2022). His current research focuses on ecosystem and environmental changes\, particularly in forests biomass\, urban trees\, and water quality\, leveraging AI and multisensor remote sensing technologies. Dr. Salehi has co-authored more than 70 peer-reviewed journal publications\, with over 6\,400 citations and an h-index of 37 as of March 2025. He has mentored\, as the principal advisor\, 15 graduate students\, including 10 PhD and 4 MS students and a postdoctoral fellow\, and has extensive teaching experience in Geomatics Engineering and Remote Sensing across universities in Canada and the U.S. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/leveraging-ai-and-remote-sensing-optical-radar-lidar-and-uav-to-address-environmental-and-ecosystem-challenges/ LOCATION:Virtual CATEGORIES:2025,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2025/03/earthwaterimage.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20250423T100000 DTEND;TZID=Asia/Dubai:20250423T110000 DTSTAMP:20250428T054331Z CREATED:20250402T110820Z LAST-MODIFIED:20250428T054331Z UID:5575-1745402400-1745406000@www.esgrs.ae SUMMARY:Research at the intersection of satellite-based InSAR – geotechnical engineering and ML DESCRIPTION:The webinar will focus on Dr. Maral’s research at the intersection of Earth Observation (satellite InSAR)\, machine learning\, and geotechnical engineering for monitoring critical infrastructure like tailings dams. Additionally\, it will explore cutting-edge EO and ML research in other applications such as agriculture and sustainable finance. \nDr. Maral is a researcher at the Department of Engineering Science\, University of Oxford. Her research is on using EO/ML for infrastructure monitoring\, and have received an award in the category for Data Science and AI at COP28 from the Prototypes for humanity\, an Industrial Fellowship from the UK’s 1851 Royal Commission and a Keeley Senior Scholar of Wadham College\, University of Oxford. She is also a senior EO consultant the Satellite Applications Catapult for the last 8 years\, previously Remote Sensing Analyst at Airbus Defense and Space. Maral is alos the co-chair for the Technology Exploration Interest Group of Committee on Earth Observation Satellites\, which is the main international coordination body for civic space. \n\nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Dr. Maral BayaraaResearcher at University of OxfordCurrently DPhil researcher at the Department of Engineering Science\, University of Oxford. My research is on using EO/ML for infrastructure monitoring\, and have received an award in the category for Data Science and AI at COP28 from the Prototypes for humanity\, an Industrial Fellowship from the UK’s 1851 Royal Commission and a Keeley Senior Scholar of Wadham College\, University of Oxford. I am also a senior EO consultant the Satellite Applications Catapult for the last 7 years\, previously Remote Sensing Analyst at Airbus Defence and Space. I am also the co-chair for the Technology Exploration Interest Group of Committee on Earth Observation Satellites\, which is the main international coordination body for civic space. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/research-at-the-intersection-of-satellite-based-insar-geotechnical-engineering-and-ml/ LOCATION:Virtual CATEGORIES:2025,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2025/04/jumeirah.jpg END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250409 DTEND;VALUE=DATE:20250410 DTSTAMP:20250225T112156Z CREATED:20250224T081146Z LAST-MODIFIED:20250225T112156Z UID:5483-1744156800-1744243199@www.esgrs.ae SUMMARY:Student and Young Professionals Event - GeoSpatial Week 2025 DESCRIPTION: URL:https://www.esgrs.ae/event/student-and-young-professionals-event-geospatial-week-2025/ CATEGORIES:Conferences ATTACH;FMTTYPE=image/png:https://www.esgrs.ae/wp-content/uploads/2025/02/esgrslogowhiteback-e1740482509442.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250406 DTEND;VALUE=DATE:20250412 DTSTAMP:20240502T064349Z CREATED:20240124T101834Z LAST-MODIFIED:20240502T064349Z UID:3458-1743897600-1744415999@www.esgrs.ae SUMMARY:ISPRS Geo-Spatial Week 2025 (GSW 2025) DESCRIPTION: URL:https://www.esgrs.ae/event/isprs-geo-spatial-week-2025-gsw-2025/ CATEGORIES:Conferences ATTACH;FMTTYPE=image/png:https://www.esgrs.ae/wp-content/uploads/2023/08/GSWlogo.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20250326T100000 DTEND;TZID=Asia/Dubai:20250326T110000 DTSTAMP:20250327T085218Z CREATED:20250311T072958Z LAST-MODIFIED:20250327T085218Z UID:5548-1742983200-1742986800@www.esgrs.ae SUMMARY:Geographic Information Systems (GIS) and Remote Sensing for Renewable Energy Applications DESCRIPTION:This webinar explores the application of Geographic Information Systems (GIS) and Remote Sensing in the field of renewable energy. The session will begin with an introduction to GIS and Remote Sensing\, highlighting their importance in renewable energy planning\, development\, and management.\nThe presentation will cover key applications\, including:\nSolar Energy Applications – Resource assessment\, site selection\, and solar potential mapping.\nWind Energy Applications – Wind resource analysis\, optimal site identification\, and integration with GIS tools.\nHydropower and Marine Energy – Hydrological mapping\, tidal and wave energy assessment\, and remote sensing applications for water resource management.\nBiomass and Bioenergy – Land-use analysis\, biomass resource mapping\, and sustainability evaluation.\nAdditionally\, the webinar will discuss:\nGIS and Remote Sensing for Climate Change and Environmental Monitoring – Tracking environmental changes\, assessing renewable energy impacts\, and supporting sustainability initiatives.\nSmart Grids and Energy Planning – Enhancing grid optimization\, demand forecasting\, and strategic energy infrastructure development through GIS integration.\nThe session will also feature case studies and real-world applications\, showcasing successful implementations of GIS and Remote Sensing in renewable energy projects.\nFinally\, the webinar will conclude with an exploration of future trends and challenges\, highlighting emerging technologies\, data integration advancements\, and the evolving role of GIS and Remote Sensing in shaping a sustainable energy future.\n \nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Prof. Abdul Ghani OlabiDirector of Sustainable Energy & Power Systems Research Centre at University of SharjahProf. Abdul Ghani Olabi serves as the Director of the Sustainable Energy and Power Systems Research Centre at the University of Sharjah\, UAE. He holds both an M.Eng. and a Ph.D. from Dublin City University\, Ireland\, and has held academic and research positions at prestigious institutions\, including the National Research Council of Italy\, the FIAT Research Centre in Italy\, Dublin City University\, and the Institute of Engineering and Energy Technologies at the University of the West of Scotland (UWS). Prof. Olabi is the founder of two renowned international conferences: the International Conference on Sustainable Energy and Environmental Protection (SEEP) and the International Conference on Materials Science and Smart Materials (MSSM). In addition to his contributions to academia\, he plays a pivotal role in academic publishing\, serving as Editor-in-Chief of the Encyclopedia of the Renewable Energy (Elsevier)\, the Encyclopedia of Green Materials (Elsevier)\, and the Encyclopedia of Smart Materials (Elsevier). He is also the Editor of the Reference Module in Materials Science and Engineering (Elsevier). Prof. Olabi and his team have made significant contributions to renewable energy and energy storage systems through innovative research projects. They have been granted numerous patents in areas such as hydrogen production\, advanced PEM fuel cells\, and the development of innovative supercapacitors and batteries. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/geographic-information-systems-gis-and-remote-sensing-for-renewable-energy-applications/ LOCATION:Virtual CATEGORIES:2025,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2025/03/areawithwaterandland-e1741678273932.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20250305T100000 DTEND;TZID=Asia/Dubai:20250305T110000 DTSTAMP:20250306T060219Z CREATED:20250303T074318Z LAST-MODIFIED:20250306T060219Z UID:5530-1741168800-1741172400@www.esgrs.ae SUMMARY:Drones: Innovating Air Pollution and Climate Research DESCRIPTION:Drones are transforming air pollution and climate research by providing real-time\, high-resolution data from inaccessible areas and providing vertical information within the atmospheric boundary layer. Using remote sensing technology with sensors such as aerosol spectrometers\, LiDAR\, and gas analyzers\, they measure pollutants\, greenhouse gases\, and atmospheric conditions. Their flexibility\, cost-effectiveness\, and ability to operate in hazardous environments make them invaluable for monitoring air quality\, improving climate models\, and informing policy. \n\n  \nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Dr. Ajit AhlawatAssistant Professor at Delft University of Technology - NetherlandsDr. Ajit is currently working as an Assistant Professor in the Department of Geoscience and Remote Sensing under the Faculty of Civil Engineering at Delft University of Technology (TU Delft)\, The Netherlands. He completed his Ph.D. from CSIR-National Physical Laboratory\, India in the field of aerosol instrumentation in 2019. He then worked as a scientist at Leibniz Institute for Tropospheric Research (TROPOS)\, Germany for almost 6 years\, where he contributed to the advancement of air pollution monitoring through ground-based and drone-based field campaigns. He has coordinated several projects on air pollution monitoring and atmospheric aerosol research. He has published 30 research papers in various prestigious international journals. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/drones-innovating-air-pollution-and-climate-research/ LOCATION:Virtual CATEGORIES:2025,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2025/03/areimageofcitywater.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20250227T090000 DTEND;TZID=Asia/Dubai:20250227T150000 DTSTAMP:20250203T111325Z CREATED:20250203T111325Z LAST-MODIFIED:20250203T111325Z UID:5445-1740646800-1740668400@www.esgrs.ae SUMMARY:Exploring Satellite Imagery: A GIS Analytics Workshop DESCRIPTION: URL:https://www.esgrs.ae/event/exploring-satellite-imagery-a-gis-analytics-workshop/ CATEGORIES:Workshops ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2025/02/workshoppromoimg.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20250226T100000 DTEND;TZID=Asia/Dubai:20250226T110000 DTSTAMP:20250226T083042Z CREATED:20250224T105210Z LAST-MODIFIED:20250226T083042Z UID:5490-1740564000-1740567600@www.esgrs.ae SUMMARY:Turning Earth Observations to Natural Language Dialogues DESCRIPTION:This talk covers the integration of recent GenAI technologies (Large Language Models) for earth observation and climate data. We will cover models developed by MBZUAI and its collaborators in recent years for improved analysis of GeoSpatial data using natural language conversations. These models can process multisensory inputs i.e.\, RGB\, SAR\, Mult-spectral and Temporal sequences and allow additional capabilities such as visual grounding and change detection. The talk will also cover applications of these models to specific use cases\, e.g.\, damage assessment due to extreme weather events and tracking urban heat-island phenomena. \n\n  \nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Dr. Salman KhanAssociate Professor at Mohamed Bin Zayed University of Artificial IntelligenceDr. Salman Khan is an Associate Professor at Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI) and an honorary faculty member at the Australian National University (ANU). He works on multimodal learning algorithms for various applications\, with a specific focus on earth observation and climate science. He has been a recipient of several prestigious scholarships\, including Fulbright and IPRS\, and served as a program committee member for several premier conferences where he has won multiple outstanding reviewer awards. He was the guest editor for IEEE TPAMI\, MDPI Remote Sensing and acts as area chair for premier AI conferences such as NeurIPS\, CVPR\, ICML and ICCV. He\, alongside his collaborators and students\, won the best paper award in ICPRAM 2020\, best paper honorable mention at ACCV 2024 and top ranks in CVPR-NTIRE 2019 and 2021 challenges on image enhancement. He has published over 100+ technical papers in top AI journals and conferences. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/turning-earth-observations-to-natural-language-dialogues/ LOCATION:Virtual CATEGORIES:2025,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2025/02/earthground.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20250212T110000 DTEND;TZID=Asia/Dubai:20250212T120000 DTSTAMP:20250212T104436Z CREATED:20250130T110500Z LAST-MODIFIED:20250212T104436Z UID:5403-1739358000-1739361600@www.esgrs.ae SUMMARY:Contemporary RS/GIS Skills Needed to Accommodate the Changing Geospatial Technologies DESCRIPTION:This webinar focuses on the evolving geospatial landscape\, aiming to equip GIS researchers and practitioners with essential skills to adapt effectively. By providing a guiding framework\, that will help participants confidently navigate advancements\, embrace innovation\, and stay on course in the dynamic fields of geoinformatics. \n\n  \nVIEW RECORDING\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Dr. Anwarelsadat Eltayeb ElmahalSenior RS/GIS Lecturer at University of KhartoumHe is a Sudanese specialist and a senior lecturer in remote sensing\, GIS\, data science\, and their applications in geoscience. With approximately +10 years of expertise in the academic field\, teaching a variety of graduate and undergraduate courses. These courses covered subjects such as remote sensing and GIS applications in hydrology\, hydrogeomorphology\, web-GIS\, satellite digital image processing\, geostatistics\, spatial databases\, spatial cloud computing\, and research methodologies. With +15 years’ experience in UN and international organizations\, such as UNICEF\, FAO\, and the European Commission\, as a specialist in information management and GIS and backed by a solid geoscience\, data science\, and visualization experience. Member of the British Society for Geomorphology and active participant in the society’s annual meetings in the UK. With strong knowledge and interest in spatial cloud computing\, land use\, land cover change\, and environmental risk mapping using Google Earth Engine with native [JavaScript\, Python] and non-native [RGEE] APIs. With many publications in the field that could be accessed through his Google Scholar profile. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/contemporary-rs-gis-skills-needed-to-accommodate-the-changing-geospatial-technologies/ LOCATION:Virtual CATEGORIES:2025,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2025/01/terrianandmountains.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20250129T100000 DTEND;TZID=Asia/Dubai:20250129T110000 DTSTAMP:20250130T102532Z CREATED:20250121T094916Z LAST-MODIFIED:20250130T102532Z UID:5395-1738144800-1738148400@www.esgrs.ae SUMMARY:Advances in Remote Sensing and Artificial Intelligence in Marine and Coastal Studies DESCRIPTION:This webinar will reveal the significance of applications for advances in remote sensing and artificial intelligence in marine and coastal studies. The webinar will demonstrate programming integration with the RS and AI disciplines\, including cloud computing (GEE)\, generative ML models\, open-source libraries\, and more elements. The speaker will present high-level illustrations of real-world instances from their profession. The webinar will emphasize that AI has the potential to transform the methods by which we gather\, analyze\, and interpret data from vast and intricate oceans. AI oceanography has shown its efficacy in addressing many maritime challenges\, including monitoring marine ecosystems and environmental conditions\, as well as forecasting ocean currents and meteorological patterns. Simultaneously\, driven by the ongoing advancement of remote sensing technologies in recent decades\, ocean observation has transitioned into the big data age. Many ocean satellites outfitted with extensive sensors have been launched to observe oceans from both large and high-resolution perspectives. \nIntegrating AI with remote sensing has unleashed significant potential in addressing remote sensing retrieval\, feature and pattern identification\, and reconstruction challenges. Aggregated data may discern the fundamental principles of concealed connection\, enhancing our understanding of the oceans and facilitating more efficient conservation and management initiatives. Combining these with other ocean data\, like numerical models and reanalysis\, might dramatically reduce current oceanography problems. This would create a new data-driven paradigm in ocean remote sensing. \nThis webinar’s primary objective is to provide a scientific forum to discuss the latest AI application developments in ocean remote sensing. \n\n  \nVIEW RECORDING\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Dr. Ismail MondalFaculty at Dept. of Marine Science\, University of CalcuttaDr. Ismail Mondal is a Faculty in the Dept. of Marine Science\, University of Calcutta\, Kolkata-700019\, India. He is a Remote Sensing and GIS specialist who has experience in environmental modeling in different applications\, i.e.\, Climate Change in UN Sustainable Gol’s in Sea Level Rise in Marine Physical\, Biological\, and Chemical Modelling (Storm Surge and Coastal Vulnerability)\, SLAMM\, Forest Ecology\, Carbon Sequestration (Blue Carbon) of Biomass estimation\, Aerosol Dynamic and Air Quality\, Agriculture\, Soil\, Coastal and Estuarine modeling using Remote Sensing and GIS techniques. Moreover\, He has an excellent working knowledge of tools like Remote Sensing\, Digital Image Processing\, Geographical Information Systems\, Spatial data analysis\, Programming Language\, and statistical analysis (Google Earth Engine\, Matlab\, Python\, etc.). \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/advances-in-remote-sensing-and-artificial-intelligence-in-marine-and-coastal-studies/ LOCATION:Virtual CATEGORIES:2025,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2025/01/bodyofwaterimageinsideocean.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20250121T100000 DTEND;TZID=Asia/Dubai:20250121T110000 DTSTAMP:20250121T093444Z CREATED:20250113T110533Z LAST-MODIFIED:20250121T093444Z UID:5380-1737453600-1737457200@www.esgrs.ae SUMMARY:The Role of GNSS Satellites in Natural Hazards Monitoring  DESCRIPTION:Global Navigation Satellite System has emerged as more beneficial in monitoring the Earth’s atmosphere for natural hazards and space weather events around the globe with high-resolution datasets from ground and space-based measurements. Besides PNT solutions\, it is nowadays used for natural hazards monitoring namely\, earthquakes\, tsunamis\, typhoons\, volcanoes\, Solar storms\, etc. After the inclusion of more satellite constellations from different countries\, accuracy and precision improved significantly. It is also used as in-situ observables for other remote sensing satellites at different altitudes over the Earth. \n\n  \nVIEW RECORDING\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Dr. Munawar ShahProfessor at Institute of Space TechnologyDr. Munawar Shah is a Professor at the Institute of Space Technology\, Islamabad\, Pakistan. He held postdocs from KMITL\, Chumphon Thailand\, and Tongji University\, China. He got his PhD in Geodesy from Shanghai Astronomical Observatory in 2017.  He has published more than 100 peer-reviewed papers with more than 1500 citations in reputed journals and participated in several conferences for paper presentations at national and international levels. He successfully did the convenership of the EGU and Vice Chair of IAG-GGOS-FWG-JSG1 with an excellent young researcher award from COSPAR for publishing a paper in Advances in Space Research. Besides this\, he is a reviewer of Scientific Reports\, JGR\, GJI\, AISR\, Remote Sensing\, etc. He has successfully supervised more than 30 Master’s students and 10 more students are currently working under his supervision. He is also the editor of Discover Geoscience and other special issues.  \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/the-role-of-gnss-satellites-in-natural-hazards-monitoring/ LOCATION:Virtual CATEGORIES:2025,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2025/01/GNSS-Satellites-in-Natural-Hazards-Monitoring.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20241114T100000 DTEND;TZID=Asia/Dubai:20241114T110000 DTSTAMP:20241115T060553Z CREATED:20241112T033255Z LAST-MODIFIED:20241115T060553Z UID:5333-1731578400-1731582000@www.esgrs.ae SUMMARY:Rapid Flood Inundation Mapping and Flood Shelter Suitability Analysis in Bangladesh DESCRIPTION:Floods are frequent natural hazards that produce an unusual water overflow that submerges a large area\, affecting the frontline communities\, their livelihood\, environmental vulnerability\, and increasing social and economic consequences. In the past few decades\, average flood frequency\, intensity\, and duration have increased\, seriously impacting low-lying countries. Knowing the areas inundated by floods is essential to mitigate the effects of the disaster. With timely flood information and early warnings\, agencies and organisations involved in disaster management can speed up emergency response for relief and rescue measures. Rapid flood maps provide crucial inputs for assessing the extent of inundation areas and flood severity. In this masterclass\, we will demonstrate a reproducible and automated method based on Google Earth Engine (GEE) to generate rapid flood magnitude data nationally. The seminar will enable the timely production of GIS and remote sensing data layers\, along with the procedure of identifying suitable locations for flood shelters\, enhancing disaster preparedness in Bangladesh. \n\n  \nVIEW RECORDING\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Mr. Kabir UddinGIS and Remote Sensing Specialist at International Centre for Integrated Mountain DevelopmentMr. Kabir Uddin has eighteen years of professional experience at the International Centre for Integrated Mountain Development (ICIMOD)\, Nepal\, leading GIS and Remote Sensing environmental management. As a GIS and Remote Sensing Specialist at ICIMOD\, he supervises and coordinates various aspects of GIS and remote sensing work. He is experienced in preparing a wide range of training manuals on mapping land cover\, glaciers\, flood hazards\, and the suitability of flood shelters. He also conducts professional training in the Hindu Kush-Himalayan (HKH) countries. Mr. Kabir analyses optical and radar remote sensing data during flood disaster events for rapid flood inundation mapping and damage assessment systems. He works as a land cover thematic lead for SERVIR-HKH (a USAID-NASA Partnership)\, Land Cover and Ecosystem Services at ICIMOD to build the Regional Land Cover Monitoring System in close collaboration with various national and international organisations to generate consistent land cover maps on an annual basis. In addition\, Mr. Kabir regularly publishes articles in peer-reviewed journals. Before joining ICIMOD\, he worked as a GIS Expert at the Local Government Engineering Department (LGED)\, Bangladesh. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/rapid-flood-inundation-mapping-and-flood-shelter-suitability-analysis-in-bangladesh/ LOCATION:Virtual CATEGORIES:2024,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2024/11/WaterBodyImage.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20241107T110000 DTEND;TZID=Asia/Dubai:20241107T120000 DTSTAMP:20241107T104912Z CREATED:20241104T052458Z LAST-MODIFIED:20241107T104912Z UID:5320-1730977200-1730980800@www.esgrs.ae SUMMARY:Soil Moisture Mapping Using L-band Microwave Radiometry and GNSS-R\, and Disaggregation Algorithms for High Resolution Applications DESCRIPTION:Soil moisture is a critical parameter influencing various environmental processes\, agricultural productivity\, and hydrological modeling. Traditional methods of soil moisture measurement often suffer from limitations in spatial resolution and temporal frequency. In this talk\, these challenges will be addressed by leveraging the unique capabilities ofmicrowave radiometry and GNSS-R from space. \nThe talk begins with an overview of L-band microwave radiometry\, which captures thermal emissions from the soil\, and GNSS-R\, a remote sensing technique that utilizes signals from global navigation satellites to infer soil moisture content based on reflected signals from the earth’s surface. Some of these instruments (ground-based to spaceborne) developed at the Universitat Politècnica de Catalunya-BarcelonaTech (Spain) are presented. \nThen\, the application of disaggregation algorithms is described. These algorithms play a pivotal role in enhancing the spatial resolution of soil moisture estimates derived from coarser resolution satellite data. By means of machine learning techniques and high-resolution auxiliary datasets\, the algorithms effectively downscale the soil moisture information\, enabling a more precise mapping of the soil conditions across diverse landscapes. \nThese findings show the potential for operational applications in agriculture\, where timely and precise soil moisture information can inform irrigation practices and crop management strategies\, and in climate and environmental monitoring where enhanced soil moisture data can support better predictions of drought conditions and flood risks. In a future\, these high-resolution soil moisture maps could be routinely utilized in decision-making processes\, ultimately contributing to better water management and improved resilience against climate change. \n\n  \nVIEW RECORDING\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Prof. Adriano CampsProfessor at CommSensLab-UPC\, Dept. of Signal Theory and Communications\, Universitat Politècnica de Catalunya\, SpainProf. Adriano Camps joined the Dept. of Signal Theory and Communications\, Universitat Politècnica de Catalunya (UPC)\, as an Assistant Professor in 1993\, Associate Professor in 1997\, and Full Professor since 2007. In 1999\, he was on sabbatical leave at the Microwave Remote Sensing Lab.\, of the Univ. of Massachusetts\, Amherst. Since September 2022 he has been an ASPIRE Visiting International Professor at the UAE University\, Al Ain\, Abu Dhabi. His research interests are focused on: 1) microwave remote sensing\, with special emphasis on microwave radiometry by aperture synthesis (Ph.D. Thesis about the MIRAS instrument\, which became the single payload of ESA’s SMOS mission)\, 2) remote sensing using signals of opportunity (GNSS-R)\, 3) radio frequency interference detection and mitigation\, 4) ionospheric propagation\, and 5) nanosatellites as a tool to test innovative remote sensors. His publication record includes over 284 papers in peer-reviewed journals\, 12 book chapters\, and the book Emery and Camps\, “Introduction to Satellite Remote Sensing. Atmosphere\, Ocean\, Land and Cryosphere Applications\,” Elsevier\, 2017 (860 pages)\, and more than 558 conference presentations. According to Google Scholar/Scopus\, his h-index is 64/52\, and his publications have received more than 16.869/11.758 citations. According to the October 2023 Stanford ranking\, he is among the top 2% of researchers. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/soil-moisture-mapping-using-l-band-microwave-radiometry-and-gnss-r-and-disaggregation-algorithms-for-high-resolution-applications/ LOCATION:Virtual CATEGORIES:2024,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2024/11/Soil-Moisture-Mapping.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20240816T093000 DTEND;TZID=Asia/Dubai:20241127T143000 DTSTAMP:20240815T110905Z CREATED:20240815T101954Z LAST-MODIFIED:20240815T110905Z UID:5304-1723800600-1732717800@www.esgrs.ae SUMMARY:ESGRS Challenge - Sustainability Edition DESCRIPTION: URL:https://www.esgrs.ae/event/esgrs-challenge-sustainability-edition/ CATEGORIES:Competitions ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2024/08/esgrs-sustainabilitybanner.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20240810T100000 DTEND;TZID=Asia/Dubai:20240811T150000 DTSTAMP:20240711T113346Z CREATED:20240711T100606Z LAST-MODIFIED:20240711T113346Z UID:5119-1723284000-1723388400@www.esgrs.ae SUMMARY:Deep Learning Camp 2024: Ship Detection using SAR Geospatial Data DESCRIPTION: URL:https://www.esgrs.ae/event/deep-learning-camp-2024-ship-detection-using-sar-geospatial-data/ CATEGORIES:Deep Learning Camp ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2024/07/ShipDetectionSar.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20240717T100000 DTEND;TZID=Asia/Dubai:20240717T110000 DTSTAMP:20240718T034522Z CREATED:20240709T064740Z LAST-MODIFIED:20240718T034522Z UID:5029-1721210400-1721214000@www.esgrs.ae SUMMARY:Building a Loss and Damage Atlas Driven by Satellite Data for Climate Resilience DESCRIPTION:In efforts to bolster resilience against the impacts of climate change\, the UAE Space Agency\, in partnership with Planet Labs\, has launched a project to construct an innovative loss and damage atlas driven by satellite data. The project aims to extend technology and expertise to developing countries\, helping them tackle the loss and damage resulting from climate change and facilitate the establishment of early-warning systems. \nThrough this webinar\, you will learn more about the UAE Space Agency’s vision to support transformative initiatives and projects aimed at combating climate change. Project participants will present their developed case studies on the Maldives. This will be followed by a presentation from Planet Labs\, showcasing their platform and analytics. Finally\, attendees will have the opportunity to participate in the project\, leveraging Planet’s imagery and analytical models. \n\n  \nVIEW RECORDING\n \nREGISTER FOR LOSS AND DAMAGE ATLAS FOR CLIMATE RESILIENCE PROJECT\n\n\n \n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Mr. Adel YousefiDeveloper and Researcher at FarminDeveloper and researcher with expertise in advanced technologies\, AI\, and software development. Focused on creating innovative solutions and enhancing system efficiency. \n\n \n \n \n\n \n \n \n \n \n \n \n Mrs. Soma MukherjeeGIS-Software Developer at BayanatSoma has experience in the geospatial domain for a span of 15 years\, working with different reputed entities both within UAE as well as outside of UAE. During her work tenure \,she has been involved in the complete lifecycle of development of the GIS applications\, project management and business acquisition activities. During the development phase of the Geospatial Analytics Platform (GIQ) \, she was assigned as the Project Manager. \n\n \n \n \n\n \n \n \n \n \n \n \n Luisa TeixeiraStrategic Programs Manager at Planet LabsLuisa Teixeira is a Program Manager\, currently leading Planet’s contribution to several strategic Programs such as the UAE Space Agency Loss and Damage Atlas and the NICFI Satellite Data Program. Luisa has over 10 years of experience working with stakeholders from government\, business and civil society to support them in making the best possible use of data and digital tools\, with a focus on climate action and biodiversity conservation. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/building-a-loss-and-damage-atlas-driven-by-satellite-data-for-climate-resilience/ LOCATION:Virtual CATEGORIES:2024,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2024/07/usgs-Q0qk5EgyH30-unsplash-e1720507581583.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20240703T100000 DTEND;TZID=Asia/Dubai:20240704T143000 DTSTAMP:20240522T062522Z CREATED:20240522T062506Z LAST-MODIFIED:20240522T062522Z UID:4764-1720000800-1720103400@www.esgrs.ae SUMMARY:Advanced Raster Analytics and AI Algorithms for GIS & Remote Sensing Hands-on Workshop DESCRIPTION: URL:https://www.esgrs.ae/event/advanced-raster-analytics-and-ai-algorithms-for-gis-remote-sensing-hands-on-workshop/ CATEGORIES:Workshops ATTACH;FMTTYPE=image/webp:https://www.esgrs.ae/wp-content/uploads/2024/05/landcoverimage.webp END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20240612T100000 DTEND;TZID=Asia/Dubai:20240612T110000 DTSTAMP:20240612T090339Z CREATED:20240606T073849Z LAST-MODIFIED:20240612T090339Z UID:4497-1718186400-1718190000@www.esgrs.ae SUMMARY:Coral Reef Early Warning System for Small Island Developing States (SIDS) DESCRIPTION:Small Island Developing States (SIDS) face significant challenges from natural disasters\, climate change\, and limited resources\, particularly the degradation of coral reefs due to rising sea temperatures. To combat this\, 4EI has developed a Coral Reef Early Warning System for the Maldives\, utilising remote sensing and community engagement to monitor water quality and coral cover. The system establishes a baseline assessment of coral reefs\, tracks changes over time\, and identifies early warning indicators of threats like coral bleaching. Outputs include monthly reports with updated reef maps and bleaching risk alerts. This system enhances climate resilience\, supports marine ecosystems\, boosts tourism\, and protects coastlines\, while fostering community involvement in conservation efforts.\n  \nVIEW RECORDING\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n MR. JAVIER GARCIA LOPEZGeneral Manager at 4 Earth IntelligenceJavier is an experienced Project Manager with over a decade of experience in Remote Sensing. He adeptly handles both small and large-scale international projects\, specialising in Remote Sensing\, photogrammetry\, and cartography. Javier has significantly contributed to the growth of remote sensing production and has developed new land products for emerging markets. His involvement in research and development focuses on improving methodologies\, workflows\, and software to enhance processes and workforce planning. Javier’s expertise spans various environmental and geospatial projects\, and he is also skilled in capacity building and conducting workshops. His diverse skills and commitment to environmental stewardship make him a valuable asset in geospatial and environmental sciences. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/coral-reef-early-warning-system-for-small-island-developing-states-sids/ LOCATION:Virtual CATEGORIES:2024,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2024/06/coralreef.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20240522T100000 DTEND;TZID=Asia/Dubai:20240522T110000 DTSTAMP:20240522T091740Z CREATED:20240423T095416Z LAST-MODIFIED:20240522T091740Z UID:4470-1716372000-1716375600@www.esgrs.ae SUMMARY:Remote Sensing to Understand Crop Health for Precision Agriculture DESCRIPTION:Join us for a comprehensive webinar on leveraging remote sensing technologies to enhance crop health monitoring and management in precision agriculture. Precision agriculture is a farming management concept that utilizes technology to optimize crop yields and reduce waste. In this webinar\, we will delve into the core concepts of precision agriculture and explore how remote sensing plays a crucial role in this field. Discover how to use the ENVI CropScience analysis tool for precise monitoring and analysis of crop health indicators\, such as vegetation health. Learn about the significance of hyperspectral data in precision agriculture and how to analyze plot-level hyperspectral drone images for enhanced crop health assessment. Gain insights into calculating vegetation indices\, such as NDVI (Normalized Difference Vegetation Index) and EVI (Enhanced Vegetation Index)\, using hyperspectral data for accurate crop health monitoring. This webinar is ideal for professionals and researchers in the fields of agriculture\, remote sensing\, and environmental science who are interested in advancing their knowledge of precision agriculture and remote sensing applications in crop health monitoring. Don’t miss this opportunity to deepen your understanding of precision agriculture and remote sensing technologies. Join us to unlock the potential of remote sensing in revolutionizing crop health management for a sustainable future.\n  \nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n DR. SURYA DEB CHAKRABORTYSENIOR ANALYSTDr. Surya Deb Chakraborty is part of ESRI India and works as a senior analyst. Before joining ESRI India\, he worked in many organizations like ICRISAT (International Crops Research Institute for the Semi-Arid Tropics) under the UN\, the National Remote Sensing Center (NRSC\, ISRO)\, MNCFC (Mahalanobis National Crop Forecast Centre)\, Regional Remote Sensing Center (ISRO) and IISC-ISRO space technology cell. He completed his PhD in geo-engineering from the National Remote Sensing Centre (NRSC\, ISRO) at Andhra University and his M.Tech from the Indian Institute of Remote Sensing (IIRS\, ISRO). He also completed his M.Sc. in geography from CSJM University Kanpur and a diploma in RS and GIS from Jadavpur University. In 2015\, he received a Young Scientist fellowship award from KIT\, Germany. His area of interest is urban anthropogenic heat flux estimation\, watershed management\, and agriculture applications using optical and microwave data. He primarily handles advanced remote sensing data processing\, such as thermal\, hyperspectral\, LiDAR\, and microwave. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/remote-sensing-to-understand-crop-health-for-precision-agriculture/ LOCATION:Virtual CATEGORIES:2024,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2024/04/ewfca.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20240430T100000 DTEND;TZID=Asia/Dubai:20240430T143000 DTSTAMP:20240328T075050Z CREATED:20240328T075050Z LAST-MODIFIED:20240328T075050Z UID:4440-1714471200-1714487400@www.esgrs.ae SUMMARY:Introduction to Python for Satellite Imagery Processing DESCRIPTION: URL:https://www.esgrs.ae/event/introduction-to-python-for-satellite-imagery-processing/ CATEGORIES:Workshops ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2024/03/introtopythonworkshop.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20240420T093000 DTEND;TZID=Asia/Dubai:20240420T173000 DTSTAMP:20240327T062054Z CREATED:20240327T061657Z LAST-MODIFIED:20240327T062054Z UID:4384-1713605400-1713634200@www.esgrs.ae SUMMARY:AI-City Quest Hackathon DESCRIPTION: URL:https://www.esgrs.ae/event/ai-city-quest-hackathon/ CATEGORIES:Competitions ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2024/03/AI-City-Quest-2024-1.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20240320T100000 DTEND;TZID=Asia/Dubai:20240320T110000 DTSTAMP:20240514T075525Z CREATED:20240312T023307Z LAST-MODIFIED:20240514T075525Z UID:4300-1710928800-1710932400@www.esgrs.ae SUMMARY:Navigating Sea Level Change: Harnessing GIS Techniques and Game Engines for Modeling and Analysis DESCRIPTION:This webinar will offer insights on the power of GIS combined with game engines to foresee the impact of sea level rise on a city. A prototype developed with Unity will be presented to address this challenge.\n \nView Recording\n\n\n \n \n \n \n\n \n \n \n\n \n \n \n \n \n \n PROF. KHAULA ALKAABIAssociate ProfessorDr. Khaula Alkaabi is Associate Professor at Geography & Urban Sustainability Department\, UAEU. She holds a BA degree from UAEU; a MA & a PhD in Geography from UNCG\, USA; & Public Sector Innovation Diploma\, University of Cambridge\, UK. Her research interests: transportation\, land use planning\, spatial analysis\, GIS\, drone applications\, economic geography\, smart cities\, entrepreneurship\, & innovation. She served as Chair of Geography Department 2013- 2017\, & Chief Innovation Officer 2015-2022. \n\n \n \n \n\n \n \n \n \n \n \n \n DR. JUSTINE SARRAUJustine Sarrau holds a Bachelor’s degree in Geography\, Urban Planning\, and Environment from Université Toulouse Jean Jaurès\, Toulouse\, France\, followed by a Master’s degree in Earth Observation and Geomatics from UNISTRA\, Strasbourg\, France. Currently pursuing a PhD in GIS (Geographic Information Systems) at UAEU. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/navigating-sea-level-change-harnessing-gis-techniques-and-game-engines-for-modeling-and-analysis/ LOCATION:Virtual CATEGORIES:2024,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2024/03/thumbnail_screenshot_scene_game-1.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20240221T100000 DTEND;TZID=Asia/Dubai:20240221T110000 DTSTAMP:20240514T074821Z CREATED:20240206T104525Z LAST-MODIFIED:20240514T074821Z UID:3956-1708509600-1708513200@www.esgrs.ae SUMMARY:Leveraging Earth Observation Technology for Sustainable Development: A Case Study in Bahrain DESCRIPTION:This webinar will shed light on the pioneering efforts of the National Space Science Agency Laboratory (NSSA) in seamlessly integrating EO technologies to conduct impactful studies that contribute significantly to both local and global objectives\, guiding a more sustainable and prosperous future for Bahrain.\n \nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n MS. AYSHA YUSUF ALMAHMEEDSPACE DATA ANALYSTAysha AlMahmeed is a space data analyst at the National Space Science Agency of Bahrain. She holds a bachelor’s degree in civil engineering from the University of Bahrain. As a member of NSSA’s lab\, Almahmeed contributes to analyzing and evaluating earth observation data and creating analytical studies that serve to achieve the SDGs’ and Bahrain’s Economic Vision 2030. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/leveraging-earth-observation-technology-for-sustainable-development-a-case-study-in-bahrain/ LOCATION:Virtual CATEGORIES:2024,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2024/02/NSSAImageOfProjects.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20240221T090000 DTEND;TZID=Asia/Dubai:20240222T150000 DTSTAMP:20240313T024259Z CREATED:20240304T083828Z LAST-MODIFIED:20240313T024259Z UID:4236-1708506000-1708614000@www.esgrs.ae SUMMARY:3rd Annual Digital Transformation Hackathon - Zayed University​ DESCRIPTION: URL:https://www.esgrs.ae/event/3rd-annual-digital-transformation-hackathon-zayed-university/ LOCATION:CTI NextGen Center\, Zayed University Dubai Campus CATEGORIES:Competitions ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2024/03/thumbnail_Challenge-Slide-2.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20240207T100000 DTEND;TZID=Asia/Dubai:20240207T110000 DTSTAMP:20240514T074444Z CREATED:20240131T083109Z LAST-MODIFIED:20240514T074444Z UID:3903-1707300000-1707303600@www.esgrs.ae SUMMARY:The Significance of Programming for Geospatial Professionals with Real Life Examples DESCRIPTION:This webinar will unveil the power of programming skills for geospatial professionals. The webinar will reveal how programming blends the geospatial discipline with cloud computing\, generative AI models\, chat bots\, open-source libraries\, and more. Real world examples from the speaker’s profession will be illustrated at a high level. One example was at NASA\, developing an in-house application for analyzing aerosol data\, generated by the CALIPSO Satellite. Another example is the development of a web application integrated with a generative AI model to answer geospatial questions in basic English. Other examples of automated geoparsing (detecting place names from text)\, geospatial APIs creation\, and geodata pipeline engineering will be discussed as well.\n \nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n DR. AHMAD ABURIZAIZASENIOR GIS SOLUTIONS ENGINEER @ JLLAhmad is currently a senior GIS Regional Lead & Solutions Engineer at JLL. He holds three US degrees: a B.S. in Computer Science\, a masters in Geographic Information Science\, and a PhD in Geoinformation Sciences. He has a profound expertise in geospatial technologies\, programming\, data security\, data engineering\, data visualization\, academic teaching\, and corporate training. He is continuously learning new skills related to cloud computing\, data science\, and business intelligence. His professional experience varies between academia\, government\, and private sectors including NASA and Mapbox. Throughout his profession\, he developed several geospatial applications by leveraging open-source libraries\, spatial databases\, cloud services\, and generative AI models. One of the greatest achievements was the development of version 2.0 for a NASA’s in-house application named VOCAL\, using Python to analyze aerosol data collected by NASA’s CALIPSO satellite. In other roles\, he built geospatial data pipelines programmatically to serve complicated ETL processes. Furthermore\, he created numerous APIs serving geospatial data for the US government. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/the-significance-of-programming-for-geospatial-professionals-with-real-life-examples/ LOCATION:Virtual CATEGORIES:2024,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2024/01/ahmadposterwebinar-1.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20231121T093000 DTEND;TZID=Asia/Dubai:20231121T130000 DTSTAMP:20240207T111836Z CREATED:20231121T101235Z LAST-MODIFIED:20240207T111836Z UID:3455-1700559000-1700571600@www.esgrs.ae SUMMARY:Deep Learning Camp 2023 Exploring Buildings Change Detection through Deep Learning & Remote Sensing DESCRIPTION: URL:https://www.esgrs.ae/event/deep-learning-camp-exploring-buildings-change-detection-through-deep-learning-remote-sensing/ CATEGORIES:Deep Learning Camp ATTACH;FMTTYPE=image/png:https://www.esgrs.ae/wp-content/uploads/2023/09/deep-learning-camp-out-1.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20231025T100000 DTEND;TZID=Asia/Dubai:20231025T110000 DTSTAMP:20240514T074028Z CREATED:20231025T094734Z LAST-MODIFIED:20240514T074028Z UID:3450-1698228000-1698231600@www.esgrs.ae SUMMARY:Elevating Urban Insight: Building Change Detection with KhalifaSat and Deep Learning DESCRIPTION:In the ever-evolving landscape of Earth observation and remote sensing\, the task of building change detection holds paramount importance. Monitoring shifts in urban development\, infrastructure alterations\, and environmental changes is pivotal for understanding and managing our dynamic world. KhalifaSat\, an advanced Earth observation satellite\, plays a pivotal role in providing high-resolution satellite imagery that empowers these change detection efforts. Deep learning techniques have emerged as a transformative force\, automating the once-manual process and enhancing the accuracy and efficiency of building change detections. In this webinar\, we’ll provide a detailed exploration of building a change detection model specifically tailored for detecting changes in buildings\, using deep learning in conjunction with KhalifaSat images. The webinar will demonstrate the entire process\, from dataset collection and image preprocessing to custom dataset labeling\, model training\, and the rigorous testing and evaluation of model results. This comprehensive showcase will offer attendees valuable insights into the practical application of this transformative technology for building change detection.\n \nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n ENG. JAWAHER ALGHFELISOFTWARE ENGINEER\, MBRSC LAB\, UNIVERSITY OF DUBAIEng. Jawaher AlGhfeli\, a software engineer at the University of Dubai’s MBRSC lab\, holds a bachelor’s degree (Hons.) in computer engineering with a minor in artificial intelligence from the United Arab Emirates University. Her dedication to the technology field has been acknowledged through the prestigious UAE University Chancellor Innovation Award\, reflecting her remarkable contributions to the field. She is currently engaged in remote sensing image processing and the development of AI tools\, furthering her contributions to technology and Earth observation applications. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/elevating-urban-insight-building-change-detection-with-khalifasat-and-deep-learning/ LOCATION:Virtual CATEGORIES:2023,Webinars ATTACH;FMTTYPE=image/png:https://www.esgrs.ae/wp-content/uploads/2023/10/Capture.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20231003T100000 DTEND;TZID=Asia/Dubai:20231003T120000 DTSTAMP:20240125T060318Z CREATED:20231003T101627Z LAST-MODIFIED:20240125T060318Z UID:3453-1696327200-1696334400@www.esgrs.ae SUMMARY:MBRSC’s Palm Trees Detection Workshop DESCRIPTION: URL:https://www.esgrs.ae/event/mbrscs-palm-trees-detection-workshop/ CATEGORIES:Workshops ATTACH;FMTTYPE=image/png:https://www.esgrs.ae/wp-content/uploads/2023/09/Screenshot-2023-07-19-144833.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20230927T000000 DTEND;TZID=Asia/Dubai:20231110T000000 DTSTAMP:20240125T060333Z CREATED:20230927T100922Z LAST-MODIFIED:20240125T060333Z UID:3451-1695772800-1699574400@www.esgrs.ae SUMMARY:ESGRS Challenge – Earth Observation Edition DESCRIPTION: URL:https://www.esgrs.ae/event/esgrs-challenge-earth-observation-edition/ CATEGORIES:Competitions ATTACH;FMTTYPE=image/png:https://www.esgrs.ae/wp-content/uploads/2023/09/2-Copy-3-1-1-e1706091085417.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20230913T100000 DTEND;TZID=Asia/Dubai:20230913T110000 DTSTAMP:20240514T073539Z CREATED:20230913T094744Z LAST-MODIFIED:20240514T073539Z UID:3452-1694599200-1694602800@www.esgrs.ae SUMMARY:Deep Learning Techniques for Large-Scale Date Palm Tree Mapping from Multiscale Remotely Sensed Data DESCRIPTION:The reliable and efficient large-scale mapping of date palm trees from remotely sensed data is crucial for developing palm tree inventories\, continuous monitoring\, vulnerability assessments\, and long-term management of the dating industry. Given the increasing availability of very-high spatial resolution (VHSR) images with limited spectral information\, the high intra-class variance of date palm trees\, the variations in the spatial resolutions of the data\, and the differences in image contexts and backgrounds\, accurate large-scale mapping of date palm trees from multiscale and multidate VHSR images can be challenging. This webinar aims to shed light on these challenges and provide state-of-the-art solutions using advanced deep learning techniques. Specifically\, attendees will gain a comprehensive understanding of how state-of-the-art semantic and instance segmentation methods can substantially enhance the accuracy and reliability of mapping from multiscale remote sensing datasets.\n \nView Recording\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n ENG. MOHAMED BARAKATRESEARCHER AND GIS LAB ENGINEER - UNIVERSITY OF SHARJAHMohamed Barakat obtained his bachelor’s in Surveying Engineering from the Sudan University of Sciences and Technology in 2010 and later completed his master’s in Remote Sensing and GIS from University Putra Malaysia (UPM) in 2015. Mohamed serves as an RS and GIS Lab Engineer at the University of Sharjah’s Research Institute of Sciences and Engineering. Additionally\, he is working towards his Ph.D. in Remote Sensing from the Faculty of Engineering at UPM\, Malaysia. His research interests focus on harnessing the power of remote sensing technologies and state-of-the-art ML techniques in various Earth-related applications (i.e.\, vegetation and urban mapping\, environmental monitoring\, and other applications). Mohamed has published more than 25 peer-reviewed articles in the domains of remote sensing and GIS. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/deep-learning-techniques-for-large-scale-date-palm-tree-mapping-from-multiscale-remotely-sensed-data/ CATEGORIES:2023,Webinars ATTACH;FMTTYPE=image/png:https://www.esgrs.ae/wp-content/uploads/2023/09/deeplearningpalmdate.png END:VEVENT END:VCALENDAR