BEGIN:VCALENDAR
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PRODID:-//ESGRS - ECPv6.16.4.1//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:20200101T000000
END:STANDARD
END:VTIMEZONE
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: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: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
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20230726T100000
DTEND;TZID=Asia/Dubai:20230726T110000
DTSTAMP:20240514T073031Z
CREATED:20230726T094754Z
LAST-MODIFIED:20240514T073031Z
UID:3459-1690365600-1690369200@www.esgrs.ae
SUMMARY:CNN-based Boundary Detector for Remote-sensing Images
DESCRIPTION:Boundary detection\, a crucial pre-processing step in remote sensing applications such as change detection\, monitoring\, urbanization\, and target detection\, aims to identify contours separating objects in images. To address the challenges posed by evolving spatial\, spectral\, and temporal resolutions of remote sensing data\, incorporating multi-features like shape\, color\, and texture has been explored. However\, this approach requires extensive training and engineering of limitless features to cope with the constant development of new imagery.This seminar introduces a supervised boundary detection scheme that eliminates the need for engineered features and manual parameter settings. The proposed framework aims to integrate complementary information from multiple spectral bands of remotely sensed images to create a composite image. This composite image enhances perception\, reinforces interpretation\, and allows self-learning and customization for detection and fusion tasks.\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                DR. ESSA BASAEEDDEPUTY HEAD OF SECURITY ANALYTICS AND FORECAST CENTER\, DUBAI POLICEDr. Essa Basaeed Deputy Head of Security Analytics and Forecast Center\, Dubai Police. He completed his B.Eng. (Hons.)\, M.Sc\, and Ph.D. in computer engineering at Khalifa University\, UAE. Essa is a recipient of many awards and recognitions such as the EmTech Innovators Under 35 Award and the m-Government Award for University Students (Government Summit 2014). Essa is also an active volunteer and was the IEEE UAE Section Chair for 2017-2018. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/cnn-based-boundary-detector-for-remote-sensing-images/
CATEGORIES:2023,Webinars
ATTACH;FMTTYPE=image/png:https://www.esgrs.ae/wp-content/uploads/2023/08/newwebinarposter.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20230510T100000
DTEND;TZID=Asia/Dubai:20230510T110000
DTSTAMP:20240514T072452Z
CREATED:20230510T094803Z
LAST-MODIFIED:20240514T072452Z
UID:3496-1683712800-1683716400@www.esgrs.ae
SUMMARY:Sharjah Electricity\, Water\, and Gas Authority – GIS Intelligence System
DESCRIPTION:In this webinar\, Sharjah Electricity\, Water and Gas Authority will show you the importance of location intelligence for utilities\, and how and why things happen that can support your business decision-making.\n \nView Recording\n\n\n    \n                \n        \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                ENG. MOIZ ELAMINGIS Specialist - SEWAGIS Specialist with 24 years of experience in GIS Applications\, Spatial Data Management GIS Projects\, and GIS administration\, holding more than 95 GIS certificates including conferences and workshops participation. \n\n                            \n                        \n                    \n\n                    \n                \n                                \n                    \n                        \n                            \n                                \n                                ENG. FATIMA ALI ASGAR ALIManager of ICT Department·SEWAEng. Fatima Ali Asghar\, Acting Manager of the ICT Department at SEWA. Graduated from the University of Sharjah with Bachelor degree in Science in Computer Engineering. I have been landed in SEWA in Y2005; working for 18 years of experience in the field of Information Technology. Being the first Emirati lady working in “SEWA IT Infrastructure” handling and managing IT infrastructure\, data center\, networks\, Telecommunications\, and physical security systems and building the foundation of IT Infrastructure and Modernize the Datacenter facility. I have got lots of certificates in different areas that improve and enhance my journey in my career life such as the Excellence Diploma Program from the American University of Sharjah\, Several ISO Standards (27001\, 9001\,18001\, 50001\, 20000) internal Auditor\, standards\, and compliance Certifications. I have attended lots of workshops and training programs in different fields such as Strategic & Operational Planning\, Leadership & Management programs\, Toastmasters Club and communications courses\, time management\, and project management. I have also attended technology seminars around the world to gain and share knowledge and experience. I am a member of several internal committees and have got lots of awards and recognitions during my career path. \n\n                            \n                        \n                    \n\n                    \n                \n                                \n                    \n                        \n                            \n                                \n                                ENG. ABDUL RASHEED KOLLETHSenior GIS Developer - SEWASenior GIS Developer with 14 years of experience in the Software field and 8 years in GIS development. Skills in developing various types of applications\, including web\, desktop\, and mobile applications. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/sharjah-electricity-water-and-gas-authority-gis-intelligence-system/
CATEGORIES:2023,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/07/34.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20230405T100000
DTEND;TZID=Asia/Dubai:20230405T110000
DTSTAMP:20240514T071109Z
CREATED:20230405T094810Z
LAST-MODIFIED:20240514T071109Z
UID:3495-1680688800-1680692400@www.esgrs.ae
SUMMARY:The National Space Science and Technology Center
DESCRIPTION:The National Space Science and Technology Center was established in November 2016\, with the objective to serve the UAE’s national space vision. One goal of the NSSTC is to participate in the national educational and research priorities in the field of space science and technology\, which will lead to sustainable economic growth\, and support the advancement of the country’s strategic sectors. This can be achieved by collaborating with the ecosystem of the government\, private and academic sectors to unlock the potential of research\, development\, and commercialization in the field. Constructing the NSSTC at UAEU contributes to differentiating the UAE university as a university of contemporary teaching approaches that include a combination of traditional courses\, and hands-on experiential learning where students engage with experienced professionals working on space-related projects. This paves the fundamental academic pathway for educating and training Emirati space researchers and engineers in a knowledge-based economy.\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                AISHA ALDAREIGIS ANALYST · UAEU - NSSTCAisha Aldarei is a GIS Analyst at the National Space Science and Technology Center. She joined the NSSTC recently and is a member of the 813 Pan Arab Earth Observation Satellite team. Aisha graduated from Geography Department at UAE University\, during her internship at NSSTC she worked on Landuse/Landcover and Marine Habitat Classification using an Object-Based classification scheme using Multispectral and SAR satellite images. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/the-national-space-science-and-technology-center/
CATEGORIES:2023,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/08/33newimage.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20230321T100000
DTEND;TZID=Asia/Dubai:20230321T110000
DTSTAMP:20240514T070419Z
CREATED:20230321T094816Z
LAST-MODIFIED:20240514T070419Z
UID:3494-1679392800-1679396400@www.esgrs.ae
SUMMARY:Geospatial Analytics Platform – Space Data Center
DESCRIPTION:The webinar will give an Introduction to The Space Data Center which aims to provide an innovative ecosystem to utilize space data and technologies to address global sustainability challenges and boost the number of companies and patents in the space industry\, the Space Data Center is part of the transformational projects announced by the UAE’s government\, aiming to realize the vision of His Highness Sheikh Mohammed bin Rashid Al Maktoum\, to focus on creating the world’s best and most active economy delivered by the UAE Space Agency. In addition\, an Introduction to the Geospatial Analytics Platform along with its Roadmap & Demo will also be provided through the webinar by Bayanat.Ai.\n \nView Recording\n\n\n    \n                \n        \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                SULTAN AL ZEIDISpace Projects Development Senior Engineer – Space Missions Department\, UAE Space AgencySultan Al Zeidi has a thorough experience in aerospace and space programs with around 11 working years in the areas of space projects development\, Integrated Modular Avionics (IMA)/Flight Control System (FCS) development for unmanned aircraft\, verification and validation (V&V) with reference to V-Model development approach\, SW-In-Loop (SIL) and Hardware-In-Loop (HIL) testing. \n\n                            \n                        \n                    \n\n                    \n                \n                                \n                    \n                        \n                            \n                                \n                                SHAUN CAMPBELLSenior SME Imagery Intelligence\, BayanatHe is an Imagery Intelligence Subject Matter Expert with experience in optical\, SAR\, GMTI and full motion video. A well-documented history of effective mission planning\, implementing new IT projects and creating new procedures to make the most out of datasets and technology\, and mentoring others in its use. \n\n                            \n                        \n                    \n\n                    \n                \n                                \n                    \n                        \n                            \n                                \n                                DR. MARKUS MUELLEREngineering & AI Manager\, BayanatI am an engineering manager with more than 20 years of professional experience in the geospatial industry. In the past\, I worked in various roles such as data scientist\, software engineer\, product manager\, program manager\, data analyst\, and researcher. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/geospatial-analytics-platform-space-data-center/
CATEGORIES:2023,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/07/32.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20230222T100000
DTEND;TZID=Asia/Dubai:20230222T110000
DTSTAMP:20240514T063829Z
CREATED:20230222T094823Z
LAST-MODIFIED:20240514T063829Z
UID:3493-1677060000-1677063600@www.esgrs.ae
SUMMARY:The Usage of Cloud Technology in GeoAnalytics
DESCRIPTION:Satellite images are one of the most influential and essential tools we have for observing the earth. They monitor different components of the earth (Air\, Vegetation\, Water\, etc). The study of these earth components has a huge influence on government decision-making\, emergency response operation\, and many more. With the dramatic increase in satellite image data volume\, using sophisticated infrastructure and resources to perform data analysis is pivotal to delivering analyzed information as soon as possible for the decision maker. Cloud technology is the current trended resource for performing satellite data analysis. The webinar will give abstract information on how cloud technology can assist the geo-analysis professions in delivering rapidly analyzed products to decision-makers.\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                OMRAN AHMED ALHAMMADISENIOR MANAGER - SPACE DATA SYSTEM SECTION @MOHAMMED BIN RASHID SPACE CENTREOmran Al Hammadi is responsible for directing and managing the design\, development\, and operation of the Emirates Mars Mission science data center. He has experience in orchestrating cloud solutions for science data processing and analysis. He has previous experience in the development of ground segment software for EO satellites that is mainly utilized during satellite operations. He was responsible for building different ground segment software that assist the satellite operation team in analyzing the telemetry received from the spacecraft. He also led the team responsible for developing solutions for EO satellite image applications and analysis that support decision-makers and different government entities in monitoring infrastructure projects\, air quality\, and landscape quality and coverage. He earned his Computer Engineering Bachelor degree from Khalifa University in 2011. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/the-usage-of-cloud-technology-in-geoanalytics/
CATEGORIES:2023,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/07/31.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20230208T100000
DTEND;TZID=Asia/Dubai:20230208T110000
DTSTAMP:20240514T062935Z
CREATED:20230208T093529Z
LAST-MODIFIED:20240514T062935Z
UID:3492-1675850400-1675854000@www.esgrs.ae
SUMMARY:Earth Observation Data to Serve Humanity
DESCRIPTION:This webinar will be an introduction to Mohammed Bin Rashid Space Centre (MBRSC). It will highlight some of the projects\, products\, and services that MBRSC works on using remote sensing data.\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                ENG. MEERA RASHID ALSHAMSIMANAGER - INNOVATION AND BUSINESS DEVELOPMENT SECTION\, REMOTE SENSING DEPT. @MOHAMMED BIN RASHID SPACE CENTRE (MBRSC)Meera AlShamsi is the manager of the Innovation and Business Development Section at the Mohammed Bin Rashid Space Centre (MBRSC). She has worked on various projects at MBRSC and has over 9 years of experience in the field of remote sensing. Meera has a B.Sc. degree in Electrical Engineering from the American University of Sharjah and an M.Sc. degree in Remote Sensing and Geographic Information Systems from the United Arab Emirates University. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/earth-observation-data-to-serve-humanity/
CATEGORIES:2023,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/07/30.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20221109T100000
DTEND;TZID=Asia/Dubai:20221109T110000
DTSTAMP:20240514T062519Z
CREATED:20221109T094837Z
LAST-MODIFIED:20240514T062519Z
UID:3491-1667988000-1667991600@www.esgrs.ae
SUMMARY:Mobile & Indoor Mapping
DESCRIPTION:Overview about the Latest Lidar and IMU used. Explain the methodology behind data capturing techniques of various indoor and outdoor environments. Overcoming the challenges of geo referencing in challenging environments. Maintaining the accuracy of the captured point to keep trajectory.\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                AHMED ALSHEHHIPRINCIPAL GIS ANALYSTAhmed is a member of the Infrastructure and Geospatial Intelligence Section at Dubai Municipality. Has a bachelor degree in GIS from UAE University. Ahmed is working with Dubai Municipality for more than 9 years. The leader of Remote Sensing & AI team who led the process of scanning all the roads in Emirate of Dubai using GeoLidar vehicle. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/mobile-indoor-mapping/
CATEGORIES:2022,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/07/29.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20220907T100000
DTEND;TZID=Asia/Dubai:20220907T110000
DTSTAMP:20240514T060633Z
CREATED:20220907T094847Z
LAST-MODIFIED:20240514T060633Z
UID:3490-1662544800-1662548400@www.esgrs.ae
SUMMARY:Multisource Remote Sensing-based Precipitation Estimation over the UAE
DESCRIPTION:Given its predominantly arid climate\, the Arabian Peninsula (AP) is considered a regional water stress hotspot\, amplified by the rising demands associated with its rapid urbanization and population growth. The scarcity of renewable water resources across the AP requires improved monitoring of available precipitation and terrestrial water storage to quantify water budget deficits and implement targeted water resource management strategies. However\, accurate and timely monitoring of precipitation remains a challenge\, particularly in arid regions such as the AP\, characterized by sparse ground-based observational networks and complex land-atmosphere dynamics. This webinar will present an overview on remote sensing-based monitoring of precipitation\, challenges and targeted solutions for improved monitoring over the UAE and the larger AP region.\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                DR. YOUSSEF WEHBEPROGRAM OFFICER – UAEREP AT NATIONAL CENTER OF METEOROLOGY (NCM)Dr. Youssef Wehbe is a Project Officer for the UAE Research Program for Rain Enhancement Science. His expertise includes water resource management\, coupled land-atmosphere modeling\, cloud microphysics\, and weather modification technology. His ongoing research addresses next-generation water resource monitoring by integrating satellite and radar remote sensing\, hydro-meteorological modeling\, and relevant applications of AI/machine learning tools. He was a crew member in a flight campaign under the NASA Airborne Science Program to gather aerosol and cloud microphysical measurements over the eastern UAE. Youssef led several studies on water resources in MENA region\, including developing machine learning-based calibrations for satellite-inferred rainfall estimates\, coupling land and atmospheric prediction models\, and mapping groundwater recharge and migration paths. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/multisource-remote-sensing-based-precipitation-estimation-over-the-uae/
CATEGORIES:2022,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/07/28.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20220824T100000
DTEND;TZID=Asia/Dubai:20220824T110000
DTSTAMP:20240514T060118Z
CREATED:20220824T094853Z
LAST-MODIFIED:20240514T060118Z
UID:3487-1661335200-1661338800@www.esgrs.ae
SUMMARY:Earth and Planetary Science Remote Sensing Projects in Zayed University
DESCRIPTION:This session will discuss in detail about the Earth\, Moon\, and Mars projects like- 1) Impact of Prosopis Juliflora on depletion of groundwater in UAE using remote sensing and GIS\, 2) Introduction to UAE’s first hyperspectral library website\, 3) Terrestrial analog studies to show the intensity to unclog the forthcoming activities for the future perspective aspects on the lunar and other planetary surfaces.\, 4) Examining the potential of liquid water on the surface of mars\, and many other interesting projects.\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                MR. MANISH SHARMAREMOTE SENSING AND ENVIRONMENT SPECIALIST AT THE COLLEGE OF NATURAL AND HEALTH SCIENCES (CNHS) AT ZAYED UNIVERSITYMr. Manish serves as a Remote Sensing and Environment Specialist at the College of Natural and Health Sciences (CNHS) at Zayed University. His research interest includes exploring mineralogy\, geology\, geomorphology\, and atmospheric parameters of Mars\, Moon\, Earth\, and other extra-terrestrial planets using Remote Sensing satellite images and Geographic Information System (GIS) tools. Previously\, He was a Research Assistant at The Hong Kong Polytechnic University (PolyU)\, working for China lunar exploration mission\, where he assisted on Chang E 5 and Chang E 4 lunar missions by delivering useful scientific outputs like regolith thickness mapping\, mineralogical mapping\, geomorphological mapping\, geological mapping\, etc. of Landing and Backup Landing sites. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/earth-and-planetary-science-remote-sensing-projects-in-zayed-university/
CATEGORIES:2022,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/07/27.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20220810T100000
DTEND;TZID=Asia/Dubai:20220810T110000
DTSTAMP:20240514T053859Z
CREATED:20220810T094858Z
LAST-MODIFIED:20240514T053859Z
UID:3489-1660125600-1660129200@www.esgrs.ae
SUMMARY:SAR Interferometry for Monitoring of Land Surface Deformations
DESCRIPTION:Remote sensing datasets and techniques have proved their capability to monitor the Earth’s surface by providing invaluable information about natural phenomena and anthropogenic activities. Radar remote sensing has a privilege over optical remote sensing by it is the independency of illumination source and weather. SAR Interferometry techniques are the most valuable tools for land surface deformations. The development of these tools has increased along with enormous SAR satellite missions launched in the last two decades\, such as Sentinel-1\, TerraSAR-X\, ALOS-1/-2\, Radarsat-1/2\, etc. SAR Interferometry techniques measure the land surface movement in millimetric resolution. These techniques have been developed in order to monitor land surface subsidence\, landslides\, earthquakes\, moving objects like cars and ships\, and sea ice drift and glacier flow.\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                DR. MUHAGIR ELKAMALIDEPARTMENT OF GEOGRAPHY & URBAN SUSTAINABILITY\, UAEUDr. Muhagir Elkamali received his Bachelor and Master degrees from the University of Khartoum in 2012 and 2016. He earned his Ph.D. degree from the United Araba Emirates Univesity in 2022. His research concentrated on the Earth surface monitoring such as urban expansion\, LULC changes\, geothermal exploration\, and land surface subsidence. He published his research in international journals such as the Science of The Total Environment (STOTEN) as well as he presented his work at international conferences including the international conference on Water Resources Management and Sustainability and EAGE Middle East Geomechanics Workshop. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/sar-interferometry-for-monitoring-of-land-surface-deformations/
CATEGORIES:2022,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/07/26.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20220727T100000
DTEND;TZID=Asia/Dubai:20220727T110000
DTSTAMP:20240514T053110Z
CREATED:20220727T094904Z
LAST-MODIFIED:20240514T053110Z
UID:3488-1658916000-1658919600@www.esgrs.ae
SUMMARY:Potential Applications of Geoinformatics in Assessing the Impacts of Climate Change
DESCRIPTION:Several countries around the world suffers from limited natural and water resources and the high rate of population increase over the last few decades\, this resulted in widening the gap between water demand and supply. Furthermore\, the impacts of climate change are anticipated to worsen this situation by jeopardizing existing water resources. Strategic vision to ensure an adequate\, safe\, and secure drinking water supply presents a challenge\, particularly for such countries\, faced with a critical supply-demand imbalance and a high risk of water quality deterioration. To provide sustainable and equitable long-term water management plans\, current and future demands\, along with available adaptation options should be assessed through community engagement.Recently\, Geoinformatics were used efficiently for several climate change studies\, this includes the use of the state-of-art technology for investigating\, monitoring\, documenting\, and understanding the impacts of climate change and its consequences. Geoinformatics is the science and the technology which develops and uses information science infrastructure to address the problems of geography\, cartography\, geosciences and related branches of science and engineering. This includes the use of earth observation satellites (EOS)\, Global Navigation Satellite Systems (GNSS)\, Geographic Information Systems (GIS)\, and other related technologies.\nIn this webinar\, the speaker will focus the shed on the current of future trend of geoinformatics and its applications in assessing the impacts of climate change.\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                PROF. NEZAR ATALLA HAMMOURIPROFESSOR OF GIS AND REMOTE SENSING DEPARTMENT OF APPLIED PHYSICS AND ASTRONOMY UNIVERSITY OF SHARJAH\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/potential-applications-of-geoinformatics-in-assessing-the-impacts-of-climate-change/
CATEGORIES:2022,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/07/25.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20220713T100000
DTEND;TZID=Asia/Dubai:20220713T110000
DTSTAMP:20240514T052400Z
CREATED:20220713T094911Z
LAST-MODIFIED:20240514T052400Z
UID:3486-1657706400-1657710000@www.esgrs.ae
SUMMARY:Remote sensing for disaster response
DESCRIPTION:Remote sensing data is an invaluable resource in providing critical insights before and after natural and human-made disasters. Prior to disasters\, “primary” remote sensing data in the forms of optical imagery and SAR data can be used measure potential various hazards (e.g. floods\, droughts) and “secondary” remote sensing data\, such as gridded population datasets\, can be used to measure exposure to such hazards. Post disaster situations\, satellite data can be used to generate rapid insights that could help guide efforts of first responders. In this talk\, in depth examples will be shared of how remote sensing data has been used both prior and post disaster situations. The focus will be on the Beirut 2020 Explosion and how a collaboration between local stakeholders and NASA JPL led to one of the most data rich disasters recorded in modern history. Key projects: SAR data was initially used to generate a damage proxy map\, a social media campaign to collect geo-located photos created a rich database used for ground truthing to further improve the assessment models\, and finally a drone mapping project using advanced photogrammetry resulted in a very high resolution 3D model and point cloud of the entire impacted area.\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                MS. MELDA SALHABCO-FOUNDER OF OPEN MAP\, LEBANONMelda is the co-founder of Open Map Lebanon and a doctoral researcher at the Centre for Advanced Spatial Analysis\, UCL\, London\, UK. Her doctoral research is focused on extracting economic insights from remote sensing datasets\, at the country and sub-country scale\, but with global coverage. Through Open Map Lebanon\, she supported disaster recovery post the Beirut 2020 explosion\, by leveraging remote sensing and crowdsourced data. Previously\, Melda was a consultant at the World Bank where she assessed global population exposed to multiple types of flood risk using satellite data. Previously\, she was a management consultant at Monitor Deloitte Middle East. Melda has a BA in Economics\, an MSc in Urban Economic Development\, and an MRes in Spatial Data Science and Visualization. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/remote-sensing-for-disaster-response/
CATEGORIES:2022,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/07/24.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20220629T100000
DTEND;TZID=Asia/Dubai:20220629T110000
DTSTAMP:20240514T051840Z
CREATED:20220629T094916Z
LAST-MODIFIED:20240514T051840Z
UID:3485-1656496800-1656500400@www.esgrs.ae
SUMMARY:Drone Surveys & Mapping: Innovation through the years and future trends
DESCRIPTION:An overview of the evolution of drone technology in the industry through the years followed by where Rabih thinks the industry and drone technology as a whole is headed. This presentation aims to provide insights on where drones started\, current industry trends\, and what to keep an eye out for in the future.\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                RABIH BOU RACHEDFOUNDER & CEO OF FEDS- DRONE POWERED SOLUTIONSRabih Bou Rached takes a vision and makes it a reality through methodical planning and execution\, he is both a pioneering entrepreneur and leader who intuitively identifies opportunities and inspires action. He leads mainly by example\, constantly striving for excellence and encourages others to do the same. He is recognized for his ability to balance grand design with financial information while making decisions. Rabih is a leader and an educator who inspires others to reach their full potential. For over 7 years\, Rabih Bou Rached has been a noteworthy leader in the Commercial Drone space. The Founder and CEO of FEDS- Drone Powered Solutions\, Rabih has guided his company from its humble beginnings in the middle east to serving over 35 countries at the global stage. Being highly knowledgeable on drone rules and regulations\, Rabih is part of the community for the betterment of these regulations. Rabih is a strong believer in the power of education and uses his knowledge to train the next generation of industry professionals on platforms like gisworx\, The Big 5\, JUIDA(Japan UAS Industrial Development Association)\, YPS(Young Professionals in Space) and many more. Rabih believes that in the near future\, drones will play a major role in our daily lives and will be as indispensable as the phone is today. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/drone-surveys-mapping-innovation-through-the-years-and-future-trends/
CATEGORIES:2022,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/07/23.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20220615T100000
DTEND;TZID=Asia/Dubai:20220615T110000
DTSTAMP:20240514T050707Z
CREATED:20220615T094922Z
LAST-MODIFIED:20240514T050707Z
UID:3484-1655287200-1655290800@www.esgrs.ae
SUMMARY:GIS and Remote Sensing for Environmental Studies/ Technologies and Challenges
DESCRIPTION:Satellite imagery is a sphere with vast data perfect for machine and deep learning. With significant earth observation and rapid advances in machine learning\, increasing prospects for innovative analysis have emerged to aid earth environmental monitoring. This presentation will overview various challenges related to environmental earth observation data capturing\, integration\, fusion\, and validation. Several examples that summarize the available satellite data sources and trends will be presented. This includes LULC mapping from the integration of SAR and optical Sentinel images; Image Segmentation Parameter Selection and Ant Colony Optimization for Date Palm Tree Detection; Digital Mapping of Groundwater Potential Zones Using Remote Sensing; Assessment of Temporal Growth of Sharjah City; Spatial-Temporal Analysis of Urban Growth and its Impact on Surface Runoff; COVID-19 Lockdown and the Impact on Mobility\, Air Quality\, and Utility Consumption; Spatial and Temporal Inversion of Land Surface Temperature in arid regions.\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                PROF. RAMI AL-RUZOUQ PROFESSOR OF GEOMATICS ENGINEERING  UNIVERSITY OF SHARJAH  DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING AT THE  COORDINATOR OF THE MASTER PROGRAM IN GIS AND REMOTE SENSINGEducation • Ph.D.: geomatics engineering from the University of Calgary in Canada\, (2004). • M.Sc.: Geodetic science from Ohio State University in the US\, (2002). • M.Sc.: Civil Engineering from Jordan University of Science and Technology\, (1996). • B.Sc.: Civil Engineering from the Jordan University of Science and Technology\, (1993). Research • Environmental Remote Sensing/GIS Applications; UAV/ Digital Photogrammetry; Land-Use Land-Cover Classification; Spatial Statistics and Analysis; Satellite Image Processing and Change Detection; Urbanization and Smart Cities. • Published more than 75 scientific journals and conference publications. • Citation more than 1000 with h-index=17. (Google Scholar). Teaching • Twenty years of teaching experience at undergraduate and postgraduate levels. Teaching and developing several graduate and undergraduate courses in Geomatics Engineering • Chair of accreditation committee (Commission for Academic Accreditation\, CAA) of the M.Sc. in GIS and Remote Sensing Program (2016-2020). contribute to the preparation of ABET application for the Civil Engineering program. Professional • Academic and administrative positions in the US\, Canada\, Jordan\, and the UAE. Member of many local and international scientific societies\, including the American Society of Photogrammetry and Remote Sensing (ASPRS)\, Mapping Sciences Institute in Australia\, Jordan Engineers Association\, and the Institution of Geospatial and Remote Sensing Malaysia. Email: ralruzouq@sharjah.ac.ae alruzouq@gmail.com \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/gis-and-remote-sensing-for-environmental-studies-technologies-and-challenges/
CATEGORIES:2022,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/07/22.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20220601T100000
DTEND;TZID=Asia/Dubai:20220601T110000
DTSTAMP:20240514T044800Z
CREATED:20220601T094928Z
LAST-MODIFIED:20240514T044800Z
UID:3483-1654077600-1654081200@www.esgrs.ae
SUMMARY:GAIAS – Geospatial Artificial Intelligence Addressable Systems. An emerging combinator for future growth
DESCRIPTION:To provide an overview of key concepts encompassing the growing field of GAIAS including machine learning\, deep learning\, data mining and spatial data science; recent applications and potential future directions in GAIAS by Falcon Robotics.\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                AHMAD ALDARWISHCEO FALCON ROBOTICSAhmad is an Engineer\, Entrepreneur\, and Inventor dedicated to building cutting-edge AI technology that delivers practical value. He started his career as an Aircraft Broker at ACS\, UK and then as a Flight Operations Engineer at Emirates Airlines\, where he successfully led parts of the digital transformation of Emirates’ Fleet\, saved millions in fuel costs and lowered carbon emissions by millions of tons. In 2018 he founded Falcon Robotics and currently serves as the CEO. His career thus far has seen him earn prestigious entrepreneurship awards\, recently recognized as CEO of the Year 2021 for UAE by CEO Review Magazine UK. Ahmad has an educational background in Aerospace Engineering from ERAU\, Florida. He is an active member of the Royal Aeronautical Society (MRAeS) and currently serves as the regional chairperson for MENA airlines at Airbus Fuel Efficiency group. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/gaias-geospatial-artificial-intelligence-addressable-systems-an-emerging-combinator-for-future-growth/
CATEGORIES:2022,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/07/21.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20220420T100000
DTEND;TZID=Asia/Dubai:20220420T110000
DTSTAMP:20240514T043331Z
CREATED:20220420T094935Z
LAST-MODIFIED:20240514T043331Z
UID:3482-1650448800-1650452400@www.esgrs.ae
SUMMARY:Remote Sensing – Data & Technology A Walk through from Past to Present
DESCRIPTION:Remote sensing is defined as the science of acquiring of information from a distance. Remote sensors collect data by detecting the energy that is reflected from Earth. These sensors can be on satellites or mounted on aircraft. Remote Sensing has a growing relevance in the modern information society. It has become a key service that is used widely in many civil applications such as agriculture\, forestry\, mining (and prospecting for many types of resources)\, map making\, research in geosciences\, urban planning\, disaster management and even land speculation. Remote sensing\, Earth observation\, related Geographical Information Systems (GIS)\, plus the interpretation and use of this type of data are today often referred to today as Geomatics. In this session let us walk through\, from the past to present on the growth & development in the Remote sensing domain from data and technology perspective.\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                MR. KANNAN JAYARAMANSR. REMOTE SENSING & GIS DATA ANALYST AT GISTECA veteran GIS professional with about 18 years of experience in GIS & Remote Sensing data and in its’s various interrelated domains. Expert in Analyze\, Design\, Development and Deployment of Desktop and Web applications (2D & 3D). Having excellent knowledge in Workflows/process design\, automation techniques of the COTS products. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/remote-sensing-data-technology-a-walk-through-from-past-to-present/
CATEGORIES:2022,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/07/20.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20220406T100000
DTEND;TZID=Asia/Dubai:20220406T110000
DTSTAMP:20240514T042603Z
CREATED:20220406T094941Z
LAST-MODIFIED:20240514T042603Z
UID:3481-1649239200-1649242800@www.esgrs.ae
SUMMARY:Recent Advances in Spectral Unmixing for Hyperspectral Imagery
DESCRIPTION:Hyperspectral imaging (HSI) systems collect image data simultaneously in hundreds of narrow\, adjacent spectral bands. Hyperspectral remote sensing is used in a wide array of applications such as agriculture\, mineralogy\, surveillance\, etc.In HSI\, the observed radiation represented from a single pixel rarely comes from a pure material. However\, the high spectral resolution of the HSI spectrometer enables the detection\, identification and classification of subpixel objects and their contribution to the measured spectra. The distinct materials associated with the surface are called endmembers\, and the fractions in which they appear in a pixel are called abundances. The unmixing problem refers to finding the number of endmembers\, their spectral signatures\, and their abundances from a given hyperspectral image.\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                DR. MOHAMMED Q. ALKHATIBASSISTANT PROFESSOR\, COLLEGE OF ENGINEERING & IT\, UNIVERSITY OF DUBAIDr. Mohammed Alkhatib earned his Bachelor in Telecommunications Engineering from Yarmouk University in 2008. He received his Masters’ and PhD degrees in Electrical and Computer Engineering from The University of Texas at El Paso in 2011 and 2018\, consecutively. In 2021\, Dr. Alkhatib joined the College of Engineering and IT (CEIT) in University of Dubai as an Assistant professor. Prior to CEIT\, he served as an instructor in the Academic Support Department in Abu Dhabi Polytechnic. Dr. Alkhatib research interests are spectral unmixing for hyperspectral images\, HSI classification\, and HSI super-resolution. He presented his research at international Journals and conference meetings including the 2019 Multidisciplinary Digital Publishing Institute (MDPI)\, Proceedings of the IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) and the Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS). \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/recent-advances-in-spectral-unmixing-for-hyperspectral-imagery/
CATEGORIES:2022,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/07/19.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20220316T100000
DTEND;TZID=Asia/Dubai:20220316T110000
DTSTAMP:20240514T035822Z
CREATED:20220316T094946Z
LAST-MODIFIED:20240514T035822Z
UID:3478-1647424800-1647428400@www.esgrs.ae
SUMMARY:Observing Earth Climate and Weather from Space
DESCRIPTION:Earth observations are nowadays key tools for a better understanding of the climate and weather patterns in different regions around the globe. In this webinar\, I will discuss the significant contribution of Earth Observations from space towards unravelling several phenomena and allow scientists to gain knowledge on how they occur and what are their characteristics and impacts.Curious to learn more about polynyas in Polar Regions\, dust storms in the tropics\, rainfall and temperature trends over the UAE\, snow and ice darkening in the Arctic and the Alps\, etc…?\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                DR. DIANA FRANCISHEAD OF THE ENVIRONMENTAL AND GEOPHYSICAL SCIENCE (ENGEOS) LAB AT KHALIFA UNIVERSITY\, UAEDr. Francis is an atmospheric scientist with a Ph.D. in Atmospheric and Environmental Sciences from Sorbonne University\, Paris. She is an internationally renowned scientist with more than 10 years in Academia and scientific research. Beside her role at Khalifa University as Head of ENGEOS lab\, she is currently the lead of the Climate Data & Modelling cluster of the UAE Climate Change Research Network of the Ministry of Climate Change and the Environment (MOCCAE) and she is the principal investigator of several projects related to Climate and Earth observations at Khalifa University. You can learn more about her team’s work by visiting ENGEOS lab webpage: https://earth.masdar.ac.ae/index.html \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/observing-earth-climate-and-weather-from-space/
CATEGORIES:2022,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/07/18.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20220302T100000
DTEND;TZID=Asia/Dubai:20220302T110000
DTSTAMP:20240514T035018Z
CREATED:20220302T095236Z
LAST-MODIFIED:20240514T035018Z
UID:3770-1646215200-1646218800@www.esgrs.ae
SUMMARY:Uncertainties of Satellite-Derived Coastal Water Quality Products
DESCRIPTION:Monitoring coastal water quality is important and the sea surface temperature is one of the key parameters of water quality. It plays a significant role in studying climate change and oceanic environmental processes. SST has always been measured with buoys and thermometers in the field and by remote sensing. The use of remotely sensed SST is significantly more common for mapping SST with a wider area and at high temporal resolution. Remotely sensed SST\, however\, may reveal uncertainties due to factors such as water depth and turbidity. This is in addition to the atmospheric effects\, such as dust\, fog\, wind\, solar angles\, and humidity. Thus\, remote sensing SST estimation is compared to the measured in-situ SST for the Arabian Gulf waters\, and the critical atmospheric and oceanic variables contributing to the errors are identified\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                DR MARYAM R. AL SHEHHIASSISTANT PROFESSOR AT CIVIL\, INFRASTRUCTURE\, AND ENVIRONMENTAL ENGINEERING AT KHALIFA UNIVERSITY\, UAEDr Maryam R. Al Shehhi is an Assistant Professor in the Department of Civil\, Infrastructure\, and Environmental Engineering at Khalifa University and a member of the Khalifa University Space Technology and Innovation Center (KUSTIC). Before joining Khalifa University\, she has worked as a postdoctoral researcher at the world leading university\, Massachusetts Institute of Technology (MIT). Dr. Al Shehhi has been working in several projects with international and local environmental agencies. One of the recent projects she works on is utilizing satellite-derived IOPs to model water quality in the Arabian Gulf. Her scientific findings have been published in more than 20 research articles in reputable journals. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/uncertainties-of-satellite-derived-coastal-water-quality-products/
CATEGORIES:2022,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2024/01/17-RKAw9m.tmp_.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20220223T100000
DTEND;TZID=Asia/Dubai:20220223T110000
DTSTAMP:20240514T034623Z
CREATED:20220223T095242Z
LAST-MODIFIED:20240514T034623Z
UID:3476-1645610400-1645614000@www.esgrs.ae
SUMMARY:The Digital Twin Project
DESCRIPTION:The GIS center at Dubai municipality aims to provide a digital twin of Dubai\, which is a digital replica of the city of Dubai in the form of two-dimensional and three-dimensional maps containing all assets\, structures and features\, starting from the macro level of the land master plans and reaching down to the micro level of building’s unit level details\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                NOORA BIN HAIDERGEOGRAPHIC INFORMATION SYSTEM CENTER\, DUBAI MUNICIPALITYNoora Bin Haider holds a Bachelor Degree in Architectural Engineering and a professional diploma in Future Government Leaders. She works at the GIS center in Dubai municipality on the Dubai BIM Roadmap project. This strategic project aims to establish a BIM road map and BIM e-Submission platform and standards for all Dubai building permitting authorities. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/the-digital-twin-project/
CATEGORIES:2022,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2024/01/16-MWeGGo.tmp_.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20211130T100000
DTEND;TZID=Asia/Dubai:20211130T110000
DTSTAMP:20240514T034146Z
CREATED:20211130T095259Z
LAST-MODIFIED:20240514T034146Z
UID:3698-1638266400-1638270000@www.esgrs.ae
SUMMARY:Spatio-temporal Forest fire monitoring using spatial-statistical and Geo-spatial analysis of factors determining forest fire in Margalla Hills\, Islamabad\, Pakistan
DESCRIPTION:The spatio-temporal changes in burnt area were identified using Landsat satellite data and modeling was used to predict the fire ignition and size distribution daily and yearly. Forest fire ignition models are effective ways to predict and classify drivers for ignition probability across broad areas. The aim was therefore to compare the predictive output and significance of predictable ignition and spatial patterns of three inflammation-distribution model types; one parametric\, a statistical model and two machine-learning algorithms: Maximum entropy (Maxent) and Random Forests (RF). We parameterized the models for Margalla Hills\, the National Park\, Islamabad\, Pakistan using 30 years of ignition\, socio-economic\, and environmental data. The best predictors of forest fire sites in all models were human population and development variables (although variable rankings were slightly differentiated)\, as well as elevation. However\, despite similar model performance and variables\, the map of ignition probabilities generated by Maxent was markedly different from those of the two other models.\nRelated Published papers: \n\nTariq\, A.; Shu\, H.; Siddiqui\, S.; Munir\, I.; Sharifi\, A.; Li\, Q.; Lu\, L. Spatio-temporal analysis of forest fire events in the Margalla Hills\, Islamabad\, Pakistan using socio-economic and environmental variable data with machine learning methods. For. Res. 2021\, 13\, 12\, doi: https://doi.org/10.1007/s11676-021-01354-4 (Journal of Forestry Research)\nTariq\, A*.; Shu\, H.; Saddiqui\, S.; Mousa\, B.G.; Munir\, I.; Nasri\, A.; Waqas\, H.; Baqa\, M.F.; Lu\, L. Forest fire Monitoring using spatial-statistical and Geo-spatial analysis of factors determining Forest fire in Margalla Hills\, Islamabad\, Pakistan. Geomatics\, Nat. Hazards Risk 2021\, 12\, 1212–1233\, doi: https://doi.org/10.1080/19475705.2021.1920477  (Geomatics\, Natural Hazards and Risks).\n\n\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                DR. AQIL TARIQKEY POSTDOCTORAL FELLOW STATE KEY LABORATORY OF INFORMATION ENGINEERING IN SURVEYING\, MAPPING AND REMOTE SENSING (LIESMARS)\, WUHAN UNIVERSITY\, WUHAN CHINA. (PHOTOGRAMMETRY\, REMOTE SENSING\, GIS\, GEOMATICS\, SPATIAL ANALYSIS AND GEOINFORMATION)Dr. Aqil Tariq was born in Rawalpindi\, Punjab\, Pakistan. Currently\, he is working as postdoctoral fellow in the State key Laboratory of Information Engineering in Surveying\, Mapping and Remote Sensing (LIESMARS)\, Wuhan University\, Wuhan China. He did one Master of Science in Geography and second Master of Science in Remote Sensing and GIS. Dr. Aqil Tariq has completed his Ph.D. (Photogrammetry and Remote sensing) within a span of three years i.e. from.2018-2021. He published 17 papers during Ph.D. tenure. He has very good scientific research writing abilities. Now\, he is author of more than twenty four (24) SCI/SSCI peer reviewed journal papers. He has abilities to conduct research individually. His research interest areas are 3D Geoinformation\, Urban analytics\, spatial analysis to examine land use/land cover\, Geospatial data science\, Agriculture monitoring\, Forest Fire\, Forest monitoring\, forest cover dynamics\, spatial statistics\, multi-criteria algorithms\, ecosystem sustainability\, hazards risk reduction\, statistical analysis and modelling using Python\, R and MATLAB. He is also working as reviewers in high SCI/SSCI impact factor Journals. He is also member of different international science communities’ i.e. ISPRS\, International Water Resources Association\, International Association of Geodesy\, Surveying & Spatial Sciences Institute (SSSI) and Emirati Society of GIS and Remote Sensing. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/spatio-temporal-forest-fire-monitoring-using-spatial-statistical-and-geo-spatial-analysis-of-factors-determining-forest-fire-in-margalla-hills-islamabad-pakistan/
CATEGORIES:2021,Webinars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20211116T100000
DTEND;TZID=Asia/Dubai:20211116T110000
DTSTAMP:20240514T033751Z
CREATED:20211116T095401Z
LAST-MODIFIED:20240514T033751Z
UID:3474-1637056800-1637060400@www.esgrs.ae
SUMMARY:Earth Observation Products and Services: From Concepts to Applications and Beyond
DESCRIPTION:The Mohammed Bin Rashid Space Centre (MBRSC) is integral to the strategic initiative put in place by the Dubai government to inspire scientific innovation\, technological advancement\, and to advance sustainable development in the United Arab Emirates. Products and services offered by the MBRSC include high-resolution earth satellite imagery\, satellite image analysis\, ground station service\, antenna hosting service\, environmental monitoring services\, and global disaster management support. It provides a vital source of instant information and reference for a variety of projects. From analysis\, forecasting and monitoring\, to managing resources and activities globally\, MBRSC products are an integral component in a range of applications\, including disaster management\, civil management\, civil engineering\, land planning\, natural resources exploration\, geographical information studies\, and environmental projects. Throughout this webinar\, you will get an insight of MBRSC vision\, mission\, projects and initiatives\, EO products and services\, etc…\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                ENG. DIENA AL-DOGOMRESEARCH ASSISTANT AT MOHAMMED BIN RASHID SPACE CENTRE (MBRSC)Diena Aldogom is a research assistant at Mohammed Bin Rashid Space Centre (MBRSC). She holds M.Sc. in Geographic Information System from Pennsylvania State University (PSU) in the US (2016). B.Sc. in Geomatics and Surveying Engineering (2008) from BAU\, Jordan. Diena Served in several academic and industrial positions related to GIS and Remote Sensing. Before joining the MBRSC lab team\, she worked at the Royal Jordanian Geographic Center and Thomson Reuters. Diena is an active researcher with many international journal and conference publications. Her research domain expands to cover spatial and statistical analysis\, GIS and Remote sensing analysis\, data management\, Environmental studies\, and hazard assessments. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/earth-observation-products-and-services-from-concepts-to-applications-and-beyond/
CATEGORIES:2021,Webinars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20211102T100000
DTEND;TZID=Asia/Dubai:20211102T110000
DTSTAMP:20240514T033252Z
CREATED:20211102T095409Z
LAST-MODIFIED:20240514T033252Z
UID:3688-1635847200-1635850800@www.esgrs.ae
SUMMARY:Exploring Land use/land cover change and Flooding Risks using Remote Sensing and GIS Techniques
DESCRIPTION:This study was conducted to investigate the spatiotemporal changes of land use/land cover (LULC) along the eastern coast of the United Arab Emirates (UAE) over a 20-year period using an integration of remote sensing and Geographic Information Systems techniques. The impact of land use change on flooding potential was also investigated through hydrologic model simulations. Landsat images of the years 1996\, 2006 and 2016 were processed and analyzed. Change detection was carried out to assess changes in the built-up areas. Furthermore\, the impact of urbanization on flooding was assessed using a hydrologic model in two major watersheds of Fujairah Emirate. It was observed that for the period 1996–2006 the vegetation and the built-up areas had increased at a rate of 11.23% and 24.56%\, respectively. For the period 2006–2016\, this expansion more than doubled in terms of the vegetation class (27.51%) and slightly increased for the built-up class (28.98%). The change detection analysis revealed that urbanization has mostly occurred along the coastal boundary. Hydrologic model simulations quantified the role of urbanization in increasing the flooding potential. The increase depends on watershed characteristics and the rate of change in urbanization and the magnitude of the rainfall event.\n \nView Recording\n\n\n    \n                \n        \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                DR. KHAULA ALKAABIChief Innovation Officer\, and an Associate Professor at the Geography and Urban Sustainability Department at UAEUDr. Khaula Alkaabi is the Chief Innovation Officer\, and an Associate Professor at the Geography and Urban Sustainability Department at the United Arab Emirates University (UAEU). She holds a BA degree (Hons) in Geography from UAEU\, a MA (Hons) and a PhD (Hons) in Geography from UNCG\, USA. Her research interests include air transportation\, land use planning\, spatial analysis\, GIS applications\, unmanned aircraft applications\, tourism\, urban development\, economic geography\, entrepreneurship and innovation\, and the surface of Mars. She has published several academic articles in various international academic journals\, as well as reviewed several government reports and academic international journal publications. \n\n                            \n                        \n                    \n\n                    \n                \n                                \n                    \n                        \n                            \n                                \n                                DR. KHALID HUSSEINDepartment of Geography and Urban Sustainability\, College of Humanities and Social Studies (CHSS)\, UAEUDr. Khalid Hussein joined the Department of Geography and Urban Sustainability\, College of Humanities and Social Studies (CHSS)\, UAEU in 2015. Prior to that Khalid taught and conducted research at the University of Colorado\, Boulder. Khalid competed his graduate and postgraduate studies at the University of Georgia Augusta\, Goettingen\, Germany\, and the University of Colorado\, Boulder\, USA. Khalid research interests are in the use of geographic information systems (GIS) and satellite and airborne remote sensing techniques\, integrated with in situ observations and modeling\, to understand how and why the Earth cover is changing\, and what those changes mean for life on Earth. Khalid research focuses on three areas. The first is the use of remote sensing techniques integrated with GIS\, and in situ data to understand how and why land cover and land use are changing; and what those changes mean for sustainability of natural resources. The second research area focuses on the understanding of the effects of climate change on the Earth’s surfaces using remotely sensed data and field measurements. Finally\, he is also interested on the application of thermal remote sensing in identifying and delineating areas of geothermal activities as a potential source of energy. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/exploring-land-use-land-cover-change-and-flooding-risks-using-remote-sensing-and-gis-techniques/
CATEGORIES:2021,Webinars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20211019T100000
DTEND;TZID=Asia/Dubai:20211019T110000
DTSTAMP:20240514T032617Z
CREATED:20211019T095415Z
LAST-MODIFIED:20240514T032617Z
UID:3472-1634637600-1634641200@www.esgrs.ae
SUMMARY:Geospatial Multicriteria Analysis for Earthquake Risk Assessment: Case Study over Fujairah\, UAE
DESCRIPTION:A clear understanding of the spatial distribution of earthquake events facilitates the prediction of seismicity and vulnerability amongst researchers in the social\, physical\, environmental\, and demographic aspects. Generally\, there are few studies on seismic risk assessment in UAE within the geographic information system (GIS) platform. Former researches and recent news events have demonstrated that the eastern part of the country experiences jolts of 3-5 magnitude\, specifically near Fujairah city and surrounding towns. This study builds on previous research on the seismic hazard that extracted the eastern part of the UAE as the most hazard-prone zone. Therefore\, this study develops an integrated analytical hierarchical process (AHP) and machine learning (ML) for risk mapping considering eight geospatial parameters- distance from shoreline\, schools\, hospitals\, roads\, residences\, streams\, confined area\, and confined area slope. Experts’ opinions and literature reviews were the basis of the AHP ranking and weighting system. To validate the AHP system\, support vector machine (SVM)\, decision tree (DT) and random forest (RF) classifiers were applied to the datasets. The datasets were split into 60:40 ratio for training and testing. Results show that SVM has the highest accuracy of 79.6% compared to DT and RF with a ‘predicted high’ precision of 87.5% attained from the model. Risk maps from both AHP and ML approaches were developed and compared. Risk analysis was categorized into 5 classes ‘very high’\, ‘high’\, ‘moderate’\, ‘low’\, and ‘very low. Both approaches modelled relatable spatial patterns as risk prone zones. AHP approach concluded 3.6% as ‘very high’ risk zone\, whereas only 0.3% of total area was identified from ML. The total area for the ‘very high’ (20 km2) and ‘high’ (114 km2) risk were estimated from ML approach.\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                SAEED AL MANSOORIHEAD OF THE APPLICATIONS DEVELOPMENT AND ANALYSIS SECTION (ADAS) AT MOHAMMED BIN RASHID SPACE CENTRE (MBRSC)Saeed Al Mansoori is the head of the Applications Development and Analysis Section (ADAS) at Mohammed Bin Rashid Space Centre (MBRSC). He has received B.Sc. degree in Communication Engineering from Khalifa University of Science\, Technology and Research (KUSTAR)\, Sharjah\, UAE in 2010 and the M.Sc. degree in Electrical Engineering from American University of Sharjah (AUS) in 2016. Saeed’s research interests are in the area of image processing (super-resolution\, watermarking\, object detection and image classification). He is the member of the international society of optics and photonics and one of the program committee in High-Performance Computing in Remote Sensing since 2012. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/geospatial-multicriteria-analysis-for-earthquake-risk-assessment-case-study-over-fujairah-uae/
CATEGORIES:2021,Webinars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20211005T100000
DTEND;TZID=Asia/Dubai:20211005T110000
DTSTAMP:20240513T093645Z
CREATED:20211005T095425Z
LAST-MODIFIED:20240513T093645Z
UID:3471-1633428000-1633431600@www.esgrs.ae
SUMMARY:Applications of Remote Sensing to Air Quality Monitoring
DESCRIPTION:Air pollution has always been considered a major problem worldwide. The formation of air pollutants depends upon the sources of their precursors whether natural or anthropogenic. The level of air pollution\, and therefore a measure of air quality\, is derived from measurement of concentrations of pollutants such as O3\, NO2 and particulate matter (PM). These measurements are usually collected at a limited number of ground-based monitoring stations and may not convey a full characterization of their spatial distribution. This presentation discusses the potential of various remote sensing systems to estimate such measurements and consider their limitations. As an example\, an approach to estimate PM10 from MODIS aerosol optical depth over Al Ain region will be detailed and its results discussed.\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                DR. NAZMI SALEOUSASSOCIATE PROFESSOR OF REMOTE SENSING AND GIS DEPARTMENT OF GEOGRAPHY AND URBAN SUSTAINABILITY\, UAEUDr. Nazmi Saleous holds a computer engineering degree (1987) and a Ph.D. in Electronics (1990) from the University of Science and Technology of Lille (France). He joined the United Arab Emirates University (UAEU) in August 2006 where he currently holds a position of Associate Professor of Remote Sensing and GIS in the Department of Geography and Urban Sustainability. He serves as the coordinator of UAEU’s Master of Science in Remote Sensing and GIS program. Dr. Saleous is involved in multiple research projects including the use of Geospatial technology in estimating carbon sequestration\, and monitoring and modeling urban growth. Prior to joining UAEU\, Dr. Saleous spent 14 years at NASA Goddard Space Flight Center where he conducted research on satellite data processing and the development of long-term remote sensing data sets for use in land and environmental applications. Dr. Saleous’ research interests are in the application of remote sensing and GIS for solving environmental and urban problems. They include remote sensing data processing\, creation of data time series\, land use and land cover change\, carbon sequestration in plantations\, desertification\, and modeling of environmental processes using geospatial technology. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/applications-of-remote-sensing-to-air-quality-monitoring/
CATEGORIES:2021,Webinars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20210921T100000
DTEND;TZID=Asia/Dubai:20210921T110000
DTSTAMP:20240513T081327Z
CREATED:20210921T095433Z
LAST-MODIFIED:20240513T081327Z
UID:3470-1632218400-1632222000@www.esgrs.ae
SUMMARY:Application of Remote Sensing and GIS to Flood and Rainwater Harvesting
DESCRIPTION:The construction of the Grand Ethiopian Renaissance Dam (GERD) will have positive and negative impacts on the people living downstream. Among possible impacts is the probability of flooding of human settlements along the Blue Nile. Reduction of water level is also a possible adverse effect on the agricultural schemes along the Blue Nile; the Gezira scheme\, one of the largest irrigation projects in the world. The objective of this study is two-fold. The first objective is to identify cities and villages near the Sennar Dam (in Sudan) that may be affected by potential fluvial (river) floods. The second objective is to select rainwater-harvesting (RWH) sites that can be used for water-supply backup while minimizing possible water-level reduction. RWH is in line with UN Global Sustainable Development Goals (UN-SDG). The use of remote-sensing techniques has enabled access to unique sources of information (satellite images and DEM) to better characterize hazards and risks\, and a GIS was used as an effective modeling and visualization tool.Keywords: Fluvial flood\, Rainwater harvesting\, Sennar Dam\, Sudan\, Remote sensing\, GIS\n \nView Recording\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                DR. MOHAMED YAGOUBDEPARTMENT OF GEOGRAPHY AND URBAN SUSTAINABILITY\, UAEUProf. Yagoub led Graduate Studies at the Department (20016-2020)\, chaired the Department between 2005 and 2007\, and directed the Master Program of Remote Sensing and GIS at the UAE University between 2002 and 2005. His scholarship is indexed in Google Scholar\, Scopus\, Web of Science\, and Research Gate. Dr. Yagoub teaches various courses related to Geoinformatics such Remote Sensing\, Geographic Information System (GIS)\, and Global Navigation Satellite Systems (GNSS). Dr. Yagoub is a referee to many organizations/journals. He participated in organization of national and international conferences and co-chaired the 5th International Conference on Earth Observation for Global Changes (EOGC)\, 2015. He received Abu Dhabi -Spatial Data Infrastructure (AD-SDI) Distinguished Award for contribution to GIS/Remote Sensing academic programs (2018). He also received the Teaching Faculty Recognition Award on August 28\, 2007 bestowed by H.H. Sheik Nahayan Mabarak Al Nahayan\, former Minister of Higher Education and Scientific Research. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/application-of-remote-sensing-and-gis-to-flood-and-rainwater-harvesting/
CATEGORIES:2021,Webinars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Dubai:20210907T100000
DTEND;TZID=Asia/Dubai:20210907T110000
DTSTAMP:20240513T073819Z
CREATED:20210907T095439Z
LAST-MODIFIED:20240513T073819Z
UID:3469-1631008800-1631012400@www.esgrs.ae
SUMMARY:Remote Sensing of Soil Salinity in the United Arab Emirates
DESCRIPTION:Soil salinity\, whether natural or human induced\, is a major geo-hazard in arid and semi-arid landscapes. In agricultural lands\, it negatively affects plant growth\, crop yields\, whereas in semi-arid and arid non-agricultural areas it affects urban structures due to subsidence\, corrosion and ground water quality\, leading to further soil erosion and land degradation. Accurately mapping soil salinity through remote sensing techniques has been an active area of research in the past few decades particularly for agricultural lands. Most of this research has focused on the utilization and development of salinity indices for properly mapping and identifying saline agricultural soils. This research develops a soil salinity index and model using Landsat 8 OLI image data from the near infra-red and shortwave infra-red spectral information with emphasis on soil salinity mapping and assessment in non-agricultural desert arid and semi-arid surfaces. The developed index when integrated into a semi-empirical model outperformed in its soil salinity mapping overall accuracy (60%) in comparison to other salinity indices (~50%). The newly developed index further outperformed other indices in its accuracy in mapping and identifying high saline soils (67%) and excessively high saline soils (90%).\n\n\n    \n                \n        \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                DR. NAEEMA AL HOSANIChair\, Department of Geography and Urban Sustainability\, UAEUDr. Naeema Alhosani\, obtained her Ph. D. (2009)\, and her M.A. (2005) in Geography “Cartography” from the University of Kansas\, USA. Currently\, she is department chair since Aug. 2017\, as well as she was an assistant dean for student affairs in CHSS from 2013-2017. She has many awards. Her research interests are: Cartography\, Maps & Mapping\, Map Conception & Development\, Map scale\, Cartographic Design\, Information Design\, Practicum in Cartography\, Problems in Production map\, Cartography and Environment\, GIS\, Remote Sensing\, and Education. Dr. Naeema has participated in many conferences (both regional and international) and research projects as well as maps publications\, besides being a member of many professional committees. Also she is affiliated to many professional associations. She has various contributions at the departmental\, College\, University and Community levels. \n\n                            \n                        \n                    \n\n                    \n                \n                                \n                    \n                        \n                            \n                                \n                                DR. ABDELGADIR ABUELGASIMAssociate Professor\, Department of Geography and Urban Sustainability\, UAEUDr. Abuelgasim received both his masters and PhD degrees from Boston University in 1996. He later joined the NASA Goddard Space Flight Center in Maryland\, USA in 1998 as a visiting scientist where he worked in a research program exploiting multi-angle remote sensing observations. In 2000 he relocated to Canada where he has been with the Canada Centre for Remote Sensing and the Canadian Space Agency as a research scientist. Dr Abuelgasim also served as the international geospatial data consultant during 2012 for the Nile Basin Initiative. Dr Abuelgasim research and teaching interests are focused on the analysis of geospatial data for information products generation\, physical and human geography and on the effects of human induced environmental and ecological changes. He is currently an associate professor of geography at UAEU. \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/remote-sensing-of-soil-salinity-in-the-united-arab-emirates/
CATEGORIES:2021,Webinars
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END:VCALENDAR