BEGIN:VCALENDAR VERSION:2.0 PRODID:-//ESGRS - ECPv6.16.4.1//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:ESGRS X-ORIGINAL-URL:https://www.esgrs.ae X-WR-CALDESC:Events for ESGRS REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Asia/Dubai BEGIN:STANDARD TZOFFSETFROM:+0400 TZOFFSETTO:+0400 TZNAME:+04 DTSTART:20200101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Asia/Dubai: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 ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/07/13.jpg 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 ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2023/07/14.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 ATTACH;FMTTYPE=image/png:https://www.esgrs.ae/wp-content/uploads/2023/07/islamabad-fire-1.png END:VEVENT END:VCALENDAR