BEGIN:VCALENDAR VERSION:2.0 PRODID:-//ESGRS - ECPv6.16.3//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:20230101T000000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20241107T110000 DTEND;TZID=Asia/Dubai:20241107T120000 DTSTAMP:20260612T110716 CREATED:20241104T052458Z LAST-MODIFIED:20241107T104912Z UID:5320-1730977200-1730980800@www.esgrs.ae SUMMARY:Soil Moisture Mapping Using L-band Microwave Radiometry and GNSS-R\, and Disaggregation Algorithms for High Resolution Applications DESCRIPTION:Soil moisture is a critical parameter influencing various environmental processes\, agricultural productivity\, and hydrological modeling. Traditional methods of soil moisture measurement often suffer from limitations in spatial resolution and temporal frequency. In this talk\, these challenges will be addressed by leveraging the unique capabilities ofmicrowave radiometry and GNSS-R from space. \nThe talk begins with an overview of L-band microwave radiometry\, which captures thermal emissions from the soil\, and GNSS-R\, a remote sensing technique that utilizes signals from global navigation satellites to infer soil moisture content based on reflected signals from the earth’s surface. Some of these instruments (ground-based to spaceborne) developed at the Universitat Politècnica de Catalunya-BarcelonaTech (Spain) are presented. \nThen\, the application of disaggregation algorithms is described. These algorithms play a pivotal role in enhancing the spatial resolution of soil moisture estimates derived from coarser resolution satellite data. By means of machine learning techniques and high-resolution auxiliary datasets\, the algorithms effectively downscale the soil moisture information\, enabling a more precise mapping of the soil conditions across diverse landscapes. \nThese findings show the potential for operational applications in agriculture\, where timely and precise soil moisture information can inform irrigation practices and crop management strategies\, and in climate and environmental monitoring where enhanced soil moisture data can support better predictions of drought conditions and flood risks. In a future\, these high-resolution soil moisture maps could be routinely utilized in decision-making processes\, ultimately contributing to better water management and improved resilience against climate change. \n\n  \nVIEW RECORDING\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Prof. Adriano CampsProfessor at CommSensLab-UPC\, Dept. of Signal Theory and Communications\, Universitat Politècnica de Catalunya\, SpainProf. Adriano Camps joined the Dept. of Signal Theory and Communications\, Universitat Politècnica de Catalunya (UPC)\, as an Assistant Professor in 1993\, Associate Professor in 1997\, and Full Professor since 2007. In 1999\, he was on sabbatical leave at the Microwave Remote Sensing Lab.\, of the Univ. of Massachusetts\, Amherst. Since September 2022 he has been an ASPIRE Visiting International Professor at the UAE University\, Al Ain\, Abu Dhabi. His research interests are focused on: 1) microwave remote sensing\, with special emphasis on microwave radiometry by aperture synthesis (Ph.D. Thesis about the MIRAS instrument\, which became the single payload of ESA’s SMOS mission)\, 2) remote sensing using signals of opportunity (GNSS-R)\, 3) radio frequency interference detection and mitigation\, 4) ionospheric propagation\, and 5) nanosatellites as a tool to test innovative remote sensors. His publication record includes over 284 papers in peer-reviewed journals\, 12 book chapters\, and the book Emery and Camps\, “Introduction to Satellite Remote Sensing. Atmosphere\, Ocean\, Land and Cryosphere Applications\,” Elsevier\, 2017 (860 pages)\, and more than 558 conference presentations. According to Google Scholar/Scopus\, his h-index is 64/52\, and his publications have received more than 16.869/11.758 citations. According to the October 2023 Stanford ranking\, he is among the top 2% of researchers. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/soil-moisture-mapping-using-l-band-microwave-radiometry-and-gnss-r-and-disaggregation-algorithms-for-high-resolution-applications/ LOCATION:Virtual CATEGORIES:2024,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2024/11/Soil-Moisture-Mapping.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Asia/Dubai:20241114T100000 DTEND;TZID=Asia/Dubai:20241114T110000 DTSTAMP:20260612T110716 CREATED:20241112T033255Z LAST-MODIFIED:20241115T060553Z UID:5333-1731578400-1731582000@www.esgrs.ae SUMMARY:Rapid Flood Inundation Mapping and Flood Shelter Suitability Analysis in Bangladesh DESCRIPTION:Floods are frequent natural hazards that produce an unusual water overflow that submerges a large area\, affecting the frontline communities\, their livelihood\, environmental vulnerability\, and increasing social and economic consequences. In the past few decades\, average flood frequency\, intensity\, and duration have increased\, seriously impacting low-lying countries. Knowing the areas inundated by floods is essential to mitigate the effects of the disaster. With timely flood information and early warnings\, agencies and organisations involved in disaster management can speed up emergency response for relief and rescue measures. Rapid flood maps provide crucial inputs for assessing the extent of inundation areas and flood severity. In this masterclass\, we will demonstrate a reproducible and automated method based on Google Earth Engine (GEE) to generate rapid flood magnitude data nationally. The seminar will enable the timely production of GIS and remote sensing data layers\, along with the procedure of identifying suitable locations for flood shelters\, enhancing disaster preparedness in Bangladesh. \n\n  \nVIEW RECORDING\n\n\n \n \n \n\n \n \n \n\n \n \n \n \n \n \n Mr. Kabir UddinGIS and Remote Sensing Specialist at International Centre for Integrated Mountain DevelopmentMr. Kabir Uddin has eighteen years of professional experience at the International Centre for Integrated Mountain Development (ICIMOD)\, Nepal\, leading GIS and Remote Sensing environmental management. As a GIS and Remote Sensing Specialist at ICIMOD\, he supervises and coordinates various aspects of GIS and remote sensing work. He is experienced in preparing a wide range of training manuals on mapping land cover\, glaciers\, flood hazards\, and the suitability of flood shelters. He also conducts professional training in the Hindu Kush-Himalayan (HKH) countries. Mr. Kabir analyses optical and radar remote sensing data during flood disaster events for rapid flood inundation mapping and damage assessment systems. He works as a land cover thematic lead for SERVIR-HKH (a USAID-NASA Partnership)\, Land Cover and Ecosystem Services at ICIMOD to build the Regional Land Cover Monitoring System in close collaboration with various national and international organisations to generate consistent land cover maps on an annual basis. In addition\, Mr. Kabir regularly publishes articles in peer-reviewed journals. Before joining ICIMOD\, he worked as a GIS Expert at the Local Government Engineering Department (LGED)\, Bangladesh. \n\n \n \n \n\n \n \n \n\n \n \n \n No Results Found URL:https://www.esgrs.ae/event/rapid-flood-inundation-mapping-and-flood-shelter-suitability-analysis-in-bangladesh/ LOCATION:Virtual CATEGORIES:2024,Webinars ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2024/11/WaterBodyImage.jpg END:VEVENT END:VCALENDAR