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DTSTART;TZID=Asia/Dubai:20241107T110000
DTEND;TZID=Asia/Dubai:20241107T120000
DTSTAMP:20260612T122947
CREATED:20241104T052458Z
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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
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