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DTSTART;TZID=Asia/Dubai:20250129T100000
DTEND;TZID=Asia/Dubai:20250129T110000
DTSTAMP:20260611T133338
CREATED:20250121T094916Z
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SUMMARY:Advances in Remote Sensing and Artificial Intelligence in Marine and Coastal Studies
DESCRIPTION:This webinar will reveal the significance of applications for advances in remote sensing and artificial intelligence in marine and coastal studies. The webinar will demonstrate programming integration with the RS and AI disciplines\, including cloud computing (GEE)\, generative ML models\, open-source libraries\, and more elements. The speaker will present high-level illustrations of real-world instances from their profession. The webinar will emphasize that AI has the potential to transform the methods by which we gather\, analyze\, and interpret data from vast and intricate oceans.  AI oceanography has shown its efficacy in addressing many maritime challenges\, including monitoring marine ecosystems and environmental conditions\, as well as forecasting ocean currents and meteorological patterns. Simultaneously\, driven by the ongoing advancement of remote sensing technologies in recent decades\, ocean observation has transitioned into the big data age. Many ocean satellites outfitted with extensive sensors have been launched to observe oceans from both large and high-resolution perspectives. \nIntegrating AI with remote sensing has unleashed significant potential in addressing remote sensing retrieval\, feature and pattern identification\, and reconstruction challenges. Aggregated data may discern the fundamental principles of concealed connection\, enhancing our understanding of the oceans and facilitating more efficient conservation and management initiatives. Combining these with other ocean data\, like numerical models and reanalysis\, might dramatically reduce current oceanography problems. This would create a new data-driven paradigm in ocean remote sensing. \nThis webinar’s primary objective is to provide a scientific forum to discuss the latest AI application developments in ocean remote sensing. \n\n  \nVIEW RECORDING\n\n\n    \n    \n    \n\n                \n        \n            \n\n                \n                                \n                    \n                        \n                            \n                                \n                                Dr. Ismail MondalFaculty at Dept. of Marine Science\, University of CalcuttaDr. Ismail Mondal is a Faculty in the Dept. of Marine Science\, University of Calcutta\, Kolkata-700019\, India. He is a Remote Sensing and GIS specialist who has experience in environmental modeling in different applications\, i.e.\, Climate Change in UN Sustainable Gol’s in Sea Level Rise in Marine Physical\, Biological\, and Chemical Modelling (Storm Surge and Coastal Vulnerability)\, SLAMM\, Forest Ecology\, Carbon Sequestration (Blue Carbon) of Biomass estimation\, Aerosol Dynamic and Air Quality\, Agriculture\, Soil\, Coastal and Estuarine modeling using Remote Sensing and GIS techniques. Moreover\, He has an excellent working knowledge of tools like Remote Sensing\, Digital Image Processing\, Geographical Information Systems\, Spatial data analysis\, Programming Language\, and statistical analysis (Google Earth Engine\, Matlab\, Python\, etc.). \n\n                            \n                        \n                    \n\n                    \n                        \n            \n\n        \n                \n        \n            No Results Found
URL:https://www.esgrs.ae/event/advances-in-remote-sensing-and-artificial-intelligence-in-marine-and-coastal-studies/
LOCATION:Virtual
CATEGORIES:2025,Webinars
ATTACH;FMTTYPE=image/jpeg:https://www.esgrs.ae/wp-content/uploads/2025/01/bodyofwaterimageinsideocean.jpg
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