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Conference Agenda

Overview and details of the sessions for this conference. Please select a date and a session for detailed view (with abstracts and downloads if available).

Session Overview

Session

Import to your local calendar

S.2.6: COASTAL ZONES & OCEANS

Time:

Wednesday, 26/June/2024:

11:00 - 12:30

Room: Auditorium I

58351 - GREENISH

59329 - EO & DL 4 Ocean Parameters

Presentations

11:00 - 11:45
Oral
ID: 195 / S.2.6: 1
Dragon 5 Oral Presentation
Ocean and Coastal Zones: 58351 - Global Climate Change, Sea Level Rise, Extreme Events and Local Ground Subsidence Effects in Coastal and River Delta Regions Through Novel and integrated Remote Sensing Approaches (GREENISH)

InSAR Experiments for the Analysis of Ground Changes Within the ESA DRAGON V GREENISH Initiative

Antonio Pepe¹, Fabiana Calo¹, Pietro Mastro¹, Francesco Falabella¹, Virginia Zamparelli¹, Simona Verde¹, Aldo Nasti², Ahmet Delen³, Çaglar Bayik⁴, Fusun Balik Sanli⁵, Saygin Abdikan⁶, Jingjing Wang^7,8,9,8, Peng Chen^7,8,9,8, Qing Zhao^7,8,9,8

¹Institute for Electromagnetic Sensing of the Environment (IREA), Italian National Research Council, 328, Diocleziano, 80124 Napoli, Italy;; ²Università di Napoli Federico II, Dipartimento di Ingegneria Industriale, Piazzale Tecchio, 80125 Napoli, Italy; ³Department of Geomatic Engineering, Tokat Gaziosmanpasa University, 60150 Tokat Turkey; ⁴Department of Geomatics Engineering, Zonguldak Bulent Ecevit University, 67100 Zonguldak, Turkey;; ⁵Department of Geomatic Engineering, Yildiz Technical University, 34220 Istanbul, Turkey;; ⁶Department of Geomatics Engineering, Hacettepe University, 06800 Beytepe Ankara, Turkey;; ⁷Key Laboratory of Geographical Information Science, Ministry of Education, East China Normal University, Shanghai 200062, China;; ⁸School of Geographic Sciences, East China Normal University, Shanghai 200241, China; ⁹Key Laboratory of Spatial-Temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China

195-Pepe-Antonio_Cn_version.pdf

11:45 - 12:30
Oral
ID: 220 / S.2.6: 2
Dragon 5 Oral Presentation
Ocean and Coastal Zones: 59329 - Research and Application of Deep Learning For Improvement and Assimilation of Significant Wave Height and Directional Wave Spectra From Multi-Missions

The Benefit of Artificial Intelligence on Wave Remote Sensing and Assimilation in Operational Wave Models

Lotfi Aouf¹, Jiuke Wang², Alice Dalphinet¹

¹Meteo France, CNRM, France; ²Sun Yat-Sen University

220-Aouf-Lotfi_Cn_version.pdf

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