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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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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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