International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

FR2.MM-1: A Variety of Promising Coastal and Oceanic Applications
Fri, 16 Jul, 11:00 - 12:10 (UTC)
Fri, 16 Jul, 13:00 - 14:10 Central Europe Summer Time (UTC +2)
Fri, 16 Jul, 19:00 - 20:10 China Standard Time (UTC +8)
Fri, 16 Jul, 07:00 - 08:10 Eastern Daylight Time (UTC -4)
Session Co-Chairs: Mariano Bresciani, CNR and Liesbeth De Keukelaere , VITO
Session Manager: Yogender
Track: Oceans

FR2.MM-1.1: COMBINED USE OF OPTICAL AND SAR IMAGES FOR MAPPING COASTAL EROSION RISK

Mariano Bresciani, Nicola Ghirardi, Gianfranco Fornaro, Virginia Zamparelli, Francesca De Santi, Giacomo De Carolis, CNR, Italy; Deodato Tapete, Italian Space Agency (ASI), Italy; Monica Palandri, e-GEOS S.p.A., Italy; Claudia Giardino, CNR, Italy

FR2.MM-1.2: SUPPORTING ATLANTIC CITIES AND PORTS THROUGH EARTH OBSERVATION

Nina Sofia Wyniawskyj, Deimos Space UK Ltd., United Kingdom; Pedro Ribeiro, CoLAB +ATLANTIC, Portugal; Stefano Ferretti, European Space Agency (ESA), Italy; David Petit, Deimos Space UK Ltd., United Kingdom; Nuno Grosso, Deimos Engenharia, Portugal; Pritimoy Podder, Deimos Space UK Ltd., United Kingdom; Sara Aparicio, Solenix for European Space Agency, Italy

FR2.MM-1.3: MAPPING THE SPATIO-TEMPORAL CHANGES IN MANGROVE VEGETATION ALONG THANE CREEK, INDIA

Nitish Zurmure, Suraj Sawant, Mahesh Shindikar, College of Engineering Pune, India; Nikhil Lele, Space Application Centre, India

FR2.MM-1.4: QUANTITATIVE EVALUATION OF ALGAE DETECTION BASED ON DEEP NEURAL NETWORK MULTI-SOURCE DATA FUSION

Le Gao, Xiaofeng Li, Yuan Guo, Jifeng Qi, Bin Zhang, Institute of Oceanography, Chinese Academy of Sciences, China

FR2.MM-1.5: SEPARATION OF WIND-SEA AND SWELL WAVE HEIGHTS USING ALTIMETER DATA

Zheng Yang, China University of Geosciences, China; Lili Song, National Marine Data and Information Service, China; Lin Mu, Shenzhen University, China; Haoyu Jiang, China University of Geosciences, China

FR2.MM-1.6: COMPARATIVE ANALYSIS OF THE SEMI-EMPIRICAL PHYSICAL MODELS FOR SHALLOW WATER DEPTH INVERSION IN BEIBU GULF

Jiasheng Xu, Guoqing Zhou, Qiaobo Cao, Sikai Su, Zhou Tian, Weiguang Liu, Haocheng Hu, Xiang Zhou, Guilin University of Technology, China

FR2.MM-1.8: A DEEP LEARNING MODEL FOR EDDY TRACKING BASED ON MULTI-SOURCE REMOTE SENSING IMAGERY

Qian Liu, Yingjie Liu, Xiaofeng Li, Institute of Oceanology, Chinese Academy of Sciences, China