Conference Agenda

Classification of Intertidal Flat Surfaces by Means of Deep Learning

Di Zhang, Martin Gade

University of Hamburg, Germany

Oceanic Eddy Detection from SAR Imagery Based on Deep Learning Network

Nannan Zi^1,2,3, Xiao-Ming Li^1,2, Martin Gade⁴

1: Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; 2: International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China; 3: University of Chinese Academy of Sciences, Beijing 100049, China; 4: University of Hamburg, Institut für Meereskunde, Bundesstr. 53, 20146 Hamburg, Germany

A Neural Network for the Detection of Water Lines

Simon Schäfers, Martin Gade

Universität Hamburg, Germany

A SAR-based Parametric Model for Tropical Cyclone Tangential Wind Speed Estimation

Sheng Wang^1,2, Xiaofeng Yang¹, Marcos Portabella³, Ka-Veng Yuen²

1: Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China; 2: University of Macau, Macau, China; 3: Barcelona Expert Centre (BEC), Institute of Marine Sciences (ICM-CSIC), Barcelona, Spain

Inversion of the Scattering Model to Estimate Oil Slick Parameters Based on ANN

Tingyu Meng¹, Ferdinando Nunziata², Andrea Buono², Xiaofeng Yang¹

1: Aerospace Information Research Institute, Chinese Academy of Sciences, China; 2: Dipartimento di Ingegneria, University of Naples - Parthenope, Italy

Numerical Study on Polarimetric SAR Imaging Response to Ocean Current

Yanlei Du, Xiaofeng Yang

Aerospace Information Research Institute, Chinese Academy of Sciences, China, People's Republic of

A Sensitivity Analysis Of CNNs To Wind-Generated Patters On X-Band Cosmo-SkyMed SAR Scenes

Anna Verlanti, Ferdinando Nunziata

Università degli Studi di Napoli "Parthenope", Italy

A Green Tide Extraction Model Based On Texture Features And Data Distribution

Yuan Guo, Le Gao, Xiaofeng Li

Institute of Oceanology, Chinese Academy of Sciences, China, People's Republic of

Risk Analysis in Coastal and Cultural Heritage Areas Using SAR and AI-Based Change Detection Methodologies: The Case Study Of Venice Lagoon

Pietro Mastro, Antonio Pepe

Institute for Electromagnetic Sensing of the Environment (IREA), Italian National Research Council (CNR), Italy

Disaster Risk Reduction Capacity Assessment with TOPSIS and Machine Learning and Analysis of Regional Disaster Characteristics of Shanghai

Qing Zhao^1,2,3, Zhengjie Li^1,2,3, Chengfang Yao^1,2,3, Jingjing Wang^1,2,3, Lei Zhou^1,2,3

1: Key Laboratory of Geographical Information Science, Ministry of Education, East China Normal University, Shanghai, 200062; 2: School of Geographic Sciences, East China Normal University, Shanghai, 200241, China; 3: Key Laboratory of Spatial-Temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China

Information Extraction and Quantifying Migration of Saltmarsh Vegetation in Chongming Dongtan Wetland by Integrating Multi-source Remote Sensing Data and Phenological Characteristics during 2017-2022

Lei Zhou^1,2,3, Qing Zhao^1,2,3

1: Key Laboratory of Geographical Information Science, East China Normal University, Shanghai 200062, China; 2: Key Laboratory of Geographical Information Science, East China Normal University, Shanghai 200062, China; 3: Key Laboratory of Spatial-Temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China

DSPANet: A Deeply Supervised Pseudo-siamese Attention-guided Network for Building Change Detection with Intensity and Coherence Information of SAR Images

Peng Chen^1,2,3, Qing Zhao^1,2,3

1: Key Laboratory of Geographical Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China; 2: School of Geographic Sciences, East China Normal University, Shanghai 200241, China; 3: Key Laboratory of Spatial-Temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China

Construction and Application of Comprehensive Risk Assessment Model for Disaster-bearing Bodies in Mega-city Based on Multiple Natural Disaster Scenarios

JingJing Wang^1,2,3, Qing Zhao^1,2,3

1: Key Laboratory of Geographical Information Science, East China Normal University, Shanghai 200062, China; 2: School of Geographic Sciences, East China Normal University, Shanghai, 200241, China; 3: Key Laboratory of Spatial-Temporal Big Data Analysis and Application of Natural Resources in Megacities, Ministry of Natural Resources, Shanghai 200241, China

Estimating Ocean Surface Radial Current Velocities during Hurricane Maria from Synthetic Aperture Radar Doppler Measurements

Shengren Fan¹, Biao Zhang¹, Vladimir Kudryavtsev², William Perrie³

1: Nanjing University of Information Science and Technology, China, People's Republic of; 2: Russian State Hydrometeorological University, St. Petersburg, Russia; 3: Fisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, Canada

Direct Ocean Surface Velocity Measurements From Space In Tropical Cyclones

Huimin Li¹, Alexis Mouche², Biao Zhang¹, Jingsong Yang³, Yijun He¹, Bertrand Chapron²

1: NUIST, China, People's Republic of; 2: LOPS, Ifremer, France; 3: State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, China, People's Republic of

Deep Learning-Based Model for Reconstructing Inner-Core High Winds in Tropical Cyclones Using Satellite Remote Sensing

Xiaohui Li¹, Jingsong Yang¹, Guoqi Han², Xinhai Han³, Peng Chen¹, Gang Zheng¹, Lin Ren¹, Lizhang Zhou¹, Romain Husson⁴, Alexis Mouche⁵, Bertrand Chapron⁵

1: State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China; 2: Fisheries and Oceans Canada, Institute of Ocean Sciences, Sidney, BC, Canada, V8L 4B2, Canada; 3: School of Oceanography, Shanghai Jiao Tong University, Shanghai 200240, China; 4: Collecte Localisation Satellites, F-31520 Brest, France; 5: Laboratoire d’Oceanographie Physique et Spatiale, Institut français de recherche pour l'exploitation de la mer, F-31520 Brest, France

Quality Assessment Of CFOSAT SCAT Wind Products Using In Situ Measurements From Buoys And Research Vessels

He Wang¹, Jingsong Yang², Jianhua Zhu¹, Bing Han¹, Bertrand Chapron³

1: National Ocean Technology Center, China, People's Republic of; 2: State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography; 3: Ifremer

Accurate Mean Wave Period from SWIM Instrument On-Board CFOSAT

Haoyu Jiang

China University of Geosciences, People's Republic of China

Study on Wet Tropospheric Correction of HY-2C Altimeter based on Multi-source Data

Jie Sun^1,2, Jungang Yang¹, Wei Cui¹

1: First Institute of Oceanography, MNR, China; 2: Shandong University of Science and Technology，China

Analysis of Seasonal Variations of Internal Tides in the Luzon Strait by Multi-satellite Altimetry Data

Yanjun Chen^1,2, Jungang Yang¹, Wei Cui¹

1: First Institute of Oceangraphy,MNR, China; 2: China University of Petroleum (East China) ，China

Retrieval of the Wide Swath Significant Wave Height from HY-2C Scatterometer based on Deep Learning

Fengjia Sun, Jungang Yang, Wei Cui

First Institute of Oceanography, MNR, China

The Vertical Temperature and Salinity Structure of Eddies in the Global Ocean

Wei Cui, Jungang Yang

First Institute of Oceanography, Ministry of Natural Resources (MNR), China, People's Republic of

High Resolution Ocean Wave Characteristics From ICESat-2 Following The CRYO2ICE Realignment

Bjarke Nilsson, Ole Baltazar Andersen

Technical University of Denmark, National Space Institute, Denmark

Generation of Type A and Type B Internal Waves in the South China Sea Studied with Satellite SAR Images

Ruyin Lyu, Kan Zeng

Ocean University of China, China, People's Republic of

Application Of MCC Internal Wave Theory To Internal Solitary Wave Amplitude Inversion Based On Euler Numerical Model

Qingyu Long, Hengyu Li, Kan Zeng

Ocean University of China, China, People's Republic of

The Maximum Wave Height Acquisition from CFOSAT SWIM Based on Machine Learning

Jiuke Wang¹, Aouf Lotfi²

1: National Marine Environmental Forecasting Center, China, People's Republic of; 2: Meteo France, France

Water colour from Sentinel-2 MSI data for monitoring large rivers: Yangtze and Danubes

Shenglei Wang¹, Xuezhu Jiang¹, Evangelos Spyrakos², Junsheng Li¹, Andrew Tyler²

1: Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; 2: Environmental Sciences, University of Stirling, Stirling FK9 4LA, United Kingdom

Characterising and Monitoring Phytoplankton Properties from Satellite Data

Conor Ross McGlinchey¹, Jesus Torres Palenzuela², Luis Gonzalez Vilas², Mortimer Werther³, Adriana Constantinescu⁴, Adrian Stanica⁴, Dalin Jiang¹, Andrew Tyler¹, Shenglei Wang⁵, Junsheng Li⁵, Yolanda Pazos⁶, Evangelos Spyrakos¹

1: University of Stirling, United Kingdom; 2: University of Vigo, Spain; 3: Swiss Federal Institute of Aquatic Science and Technology, Switzerland; 4: GeoEcoMar, Romania; 5: Aerospace Information Research Institute Chinese Academy of Sciences, China; 6: INTECMAR, Spain

Remote Sensing of Changing Coastal Marine Environments – A Midterm Report

Martin Gade¹, Merete Badger², Krystallia Dimitriadou², Xiaoming Li³, Abdalmenem Owda², Sebastian Peters¹, Simon Schäfers¹, Di Zhang¹

1: Universität Hamburg, Germany; 2: Technical University of Denmark, Denmark; 3: Aerospace Research Information Institute, Chinese Academy of Sciences, China

Monitoring Harsh Coastal Environments and Ocean Surveillance Using Radar Remote Sensing

Ferdinando Nunziata¹, Xiaofeng Yang²

1: Universita' di Napoli Parthenope, Italy; 2: State Key Laboratory of remote Sensing, ScienceChinese Academy of Science, Beijing

Innovative User-relevant Satellite Products for Coastal and Transitional Waters

Junsheng Li¹, Evangelos Spyrakos², Shenglei Wang¹, Conor McGlinchey², Yicheng Lu³, Jesus Torres Palenzuela⁴, Shaojie Sun⁵, Luis Gonzalez Vilas⁴, Adriana Constantinescu⁶, Adrian Stanica⁶, Mortimer Werther⁷, Dalin Jiang², Andrew Tyler²

1: Aerospace Information Research Institute, Chinese Academy of Sciences, China; 2: Earth observation Group, University of Stirling, UK; 3: Nanjing University, Najing, China; 4: Remote Sensing and GIS research group, Department of Applied Physics, Universityof Vigo, Spain; 5: Sun Yat-sen University, Zhuhai, China; 6: National Institute for Research and Development of Marine Geology and Geoecology, Romania; 7: Swiss Federal Institute of Aquatic Science and Technology, Switzerland

Remote Sensing Methodologies and Applications Explored within the Dragon V GREENISH Project

Antonio Pepe¹, Fabiana Calò¹, Pietro Mastro¹, Francesco Falabella¹, Qing Zhao²

1: National Research Council of Italy (CNR), Italy; 2: Key Laboratory of Geographical Information Science, Ministry of Education, East China Normal University, Shanghai 200062, China

Some Progresses of Synergistic Monitoring of Ocean Dynamic Environment from Multi-Sensors

Jingsong Yang¹, He Wang², Huimin Li³, Xiaohui Li¹, Lin Ren¹, Romain Husson⁴, Bertrand Chapron⁵

1: Second Institute of Oceanography, MNR, Hangzhou, China; 2: National Ocean Technology Center, MNR, Tianjin, China; 3: Nanjing University of Information Science and Technology, Nanjing, China; 4: Collecte Localisation Satellites, Brest, France; 5: Laboratoire d’Océanographie Physique et Spatiale (LOPS), IFREMER, Brest, France

Polar Low Detection and Tracking from Multi-Temporal Synthetic Aperture Radar and Radiometer Observations

Biao Zhang¹, William Perrie², Alexis Mouche³

1: Nanjing University of Information Science and Technology, China, People's Republic of; 2: Fisheries and Oceans Canada, Bedford Institute of Oceanography; 3: IFREMER, Université Brest, CNRS, IRD, Laboratoire d'Océanographie Physique et Spatiale

Study on Coastal Waveform Retracking and Range Correction Reprocessing of HY-2B Altimeter

Jungang Yang¹, Ole Baltazar Andersen², Zhiheng Hong¹, Yongjun Jia³, Wei Cui¹, Chenqing Fan¹, Shengjun Zhang⁴

1: First Institute of Oceanography, MNR, Qingdao, China; 2: Technical University of Denmark, Lyngby, Denmark; 3: National Satellite Ocean Application Service, MNR, Beijing, China; 4: School of Resources and Civil Engineering, Northeastern University, Shenyang, China

C-band of Radar Signatures of Convective Rain: a Case Study Using Sentinel-1 Multi-polarization SAR Images of the South China Sea

Werner R. Alpers¹, Wai Kong², Kan Zeng³, Pak Wai Chan²

1: University of Hamburg, Germany; 2: Hong Kong Observatory, Honv Kon; 3: Ocean university of China, Qngdao, China

Remote Sensing Monitoring of Coastal Waters and Polar Regions Using CFOSAT, HY Series and Sentinel series Satellite Data

Jianqiang Liu^1,2, Jing Ding^1,2, Yingcheng Lu³, Ying Xu^1,2, Daniele Hauser⁴, Dunwang Lu^1,2, Ziyi Suo³, Jun Tang³, Tao Zeng^1,2, Chao Liang^1,2, Xiuzhong Li⁵

1: National Satellite Ocean Application Service, China, People's Republic of; 2: Key Laboratory of Space Ocean Remote Sensing and Application, MNR; 3: Nanjing University, Nanjing, China; 4: CNRS/LATMOS, Guyancourt, France; 5: Nanjing University of Information Science & Technology, Nanjing, China

On The Upgrade of Wide Swath Significant Wave Height of HY2B-2C-2D and Directional Wave Spectra From Sentinel-1 and CFOSAT : Focus on Extreme Wave Conditions

Lotfi Aouf¹, Jiuke Wang², Danièle Hauser³

1: Météo France, CNRM, France; 2: NMEFC; 3: LATMOS/IPSL