Conference Agenda

EOF Analysis Application in Detecting Potential Pre-Earthquake Anomalies from Swarm Satellite Data

Maja Pavlovic¹, Yaxin Bi¹, Peter Nicholl¹, Xueming Zhang²

1: Ulster University, United Kingdom; 2: Institute of Earthquake Forecasting, China Earthquake Administration

An Enhanced Martingale Method for Detecting Seismic Precursors from Swarm Satellite Data

Shane Patrick Harrigan¹, Yaxin Bi¹, Mingju Huang², Guoze Zhao³

1: School of Computing, Faculty of Computing, Engineering and the Built Environment, Ulster University, Jordanstown Road, Newtownabbey, Co Antrim, UK; 2: Belfast School of Architecture and the Built Environment, Faculty of Computing, Engineering and the Built Environment, Ulster University, Jordanstown Road, Newtownabbey, Co Antrim, UK; 3: Institute of Geology, China Earthquake Administration, Beijing 100029, China

Structural Health Monitoring for Sea Crossing Bridge Integrating Time-series InSAR Analysis and Structural Principle

Xiaoqiong Qin^1,2,3,4, Chisheng Wang^1,3,4, Mingsheng Liao², Qingquan Li^1,2,3,4, Lu Zhang²

1: School of Architecture & Urban Planning, Shenzhen University; 2: State Key Laboratory of Engineering in Surveying, Mapping and Remote Sensing, Wuhan University; 3: MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area; 4: Guangdong Key Laboratory of Urban Informatics

Earthquake Electromagnetic Precursor Anomalies Detected by The CSELF Network

Bingbing Han¹, Guoze Zhao¹, Yaxin Bi², Ji Tang¹, Lifeng Wang¹, Yan Zhan¹

1: China Earthquake Administration, China, People's Republic of; 2: School of Computing, Faculty of Computing, Engineering and the Built Environment, University of Ulster, Belfast BT37 0QB, United Kingdom

3D SAR Imaging of Natural Media and Geophysical Parameter Retrieval

Mauro Mariotti d'Alessandro¹, Yanghai Yu^1,2, Xinwei Yang², Yu Bai³, Stefano Tebaldini¹, Mingsheng Liao², Wen Yang³

1: Politecnico di Milano, Italy; 2: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University; 3: School of Electronic Information, Wuhan University

Detecting And Monitoring Of Slow-moving Post-earthquake Landslide By InSAR Technology In Jiuzhaigou Area

Jiehua Cai¹, Lu Zhang¹, Mingsheng Liao¹, Jie Dong²

1: State Key Laboratory of EInformation ngineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079 China; 2: School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079 China

Impact Of Ecological Water Compensation On Urban Safety Along Yongding River (Beijing Section)

Mingliang Gao^1,2,3,4, Huili Gong^1,2,3,4, Xiaojuan Li^1,2,3, Yinghai Ke^1,3, Beibei Chen^1,2,3,4, Mi Chen^1,2, Chaofan Zhou^1,2,3,4, Min Shi^1,2,3, Mingyuan Lv^1,2

1: Capital Normal University, China, People's Republic of; 2: Key Laboratory of Land Subsidence Mechanism and Prevention, MOE, People's Republic of; 3: Beijing Laboratory of Water Resources Security, China, People's Republic of; 4: Observation and Research Station of Groundwater and Land Subsidence in Beijing-Tianjin-Hebei Plain, MNR, People's Republic of

Built-Up Area Mapping at Large-Scale using Sentinel-1 SAR Data and Deep Learning

Sebastian Hafner, Yifang Ban, Andrea Nascetti

KTH Royal Institute of Technology, Sweden

Experimental Analyses of Forest Short-Term Decorrelation for Interferometry, Tomography with Tandem SARs, and Distributed SARs

Fabrizio Lombardini¹, Claudia Zoppetti^1,2, Reza Bordbari¹

1: University of Pisa, Italy; 2: University of Siena, Italy

Identification And Monitoring Of Landslides In Mountainous Areas With Time-series InSAR: Analysis Of Landslide Detection Failure In Jichangzheng, Guizhou, China

Yian Wang¹, Jie Dong¹, Jianya Gong¹, Mingsheng Liao², Lu Zhang²

1: School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079 China; 2: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079 China

Pre- and Post- Failure Landslide Analysis Using Both Satellite and Ground Based InSAR: A Case Study of the Xinmo Landslide, China

Jie Dong, Mingsheng Liao, Lu Zhang

Wuhan University, China, People's Republic of

Monitoring Large-scale Linear Hydraulic Engineering Using Time Series Sentinel-1 Dataset——A Case Study Of The Middle Route Of China’s South-to-North Water Diversion Project

Nan Wang¹, Jie Dong², Mingsheng Liao¹, Lu Zhang¹

1: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China, People's Republic of; 2: School of Remote Sensing and Information Engineering, Wuhan University, China, People's Republic of

Fault structure and cause analysis of the 2019 Ms6.0 Changning Earthquake in Sichuan, China based on InSAR

Hua Gao¹, Mingsheng Liao¹, Wenbin Xu², Xiaoge Liu², Nan Fang²

1: Wuhan University, People's Republic of China; 2: Central South University, School of Geosciences and Info-Physics, China

The Weighted Adaptive Variable-lEngth (WAVE) Technique for InSAR Analysis in Mid-to-Low Coherent Areas

Francesco Falabella^1,2,3, Qing Zhao^4,5, Antonio Pepe²

1: University of Basilicata, School of Engineering, Potenza, Italy; 2: Institute for the Electromagnetic Sensing of the Environment (IREA), National Research Council (CNR), Napoli, Italy; 3: Institute of Methodologies for Environmental Analysis (IMAA), National Research Council (CNR), Tito Scalo, Italy; 4: Key Laboratory of Geographical Information Science, Ministry of Education, East China Normal University, Shanghai, China; 5: Joint Laboratory for Environmental Remote Sensing and Data Assimilation, East China Normal University, Shanghai, China

Optimization of the Combined C-/X- Band Time-Overlapped Ground Deformation Time-Series Derived by SBAS-DInSAR and SVD method

Jingzhao Ding^1,2,3, Qing Zhao^1,2,3, Maochuan Tang^1,2,3, Qiang Wang^1,2,3

1: Key Laboratory of Geographical Information Science, Ministry of Education, East China Normal University, Shanghai 200062, China; 2: Chongming ECO Institute, East China Normal University, Shanghai 200241, China; 3: School of Geographic Sciences, East China Normal University, Shanghai 200241, China

Unbalanced Technics to Improve the Train for ML Models to Detect Earthquake Fringes

Bruno Silva¹, Joaquim J. Sousa^2,3, Milan Lazecky⁴, António Cunha^2,3

1: Faculdade de Ciências da Universidade do Porto; 2: Engineering Department, School of Science and Technology, University of Trás-os-Montes e Alto Douro; 3: INESC Technology and Science, Porto, Portugal; 4: COMET, School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK

ML Segmentation Models to Automatically Identify Areas Affected by Earthquakes

Bruno Silva¹, Joaquim J. Sousa^2,3, Milan Lazecky^2,3, António Cunha⁴

1: Faculdade de Ciências da Universidade do Porto, Portugal; 2: Engineering Department, School of Science and Technology, University of Trás-os-Montes e Alto Douro; 3: INESC Technology and Science, Porto, Portugal; 4: COMET, School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK

Recent Activity of Changbaishan Tianchi VolcanoRevealed by Time Series InSAR and Geophysical Modeling

Jiaqi Zhang¹, Lianhuan Wei¹, Cristiano Tolomei², Guoming Liu³, Guido Ventura², Elisa Trasatti², Christian Bignami², Stefano Salvi², Tiejun Gao¹, Francesca Romana Cinti², Xianju Li⁴

1: Northeastern University, China, People's Republic of; 2: Istituto Nazionale di Geofisica e Vulcanologia, Italy; 3: Changbaishan Volcano Observatory, China, People's Republic of; 4: China University of Geosciences, China, People's Republic of

Collaborative Monitoring of Slope Displacements in Open-pit Mines with LiDAR DEM and Sentinel-1 Data

Fang Wang¹, Lianhuan Wei¹, Cristiano Tolomei², Christian Bignami², Yachun Mao¹, Shanjun Liu¹, Qiuyue Feng¹

1: Northeastern University, China, People's Republic of; 2: Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy

Remote Sensing Observations for Landslide Identification in South Tyrol, Italy and the Longnan Region, China

Peter Mayrhofer¹, Ruth Sonnenschein², Clement Atzberger¹, Giovanni Cuozzo², Stefan Steger²

1: University of Natural Resources and Life Sciences Vienna (BOKU), Austria; 2: Eurac Research, Italy

Tectonic Studies At Continental Scale From FLATSIM Automated Time Series Analysis Of Sentinel-1 InSAR Data: Case Study Of The Eastern Tibetan Plateau.

Laëtitia Lemrabet¹, Cécile Lasserre¹, Marie-Pierre Doin², Marianne Métois¹, Anne Replumaz², Philippe-Hervé Leloup¹, Jianbao Sun³, Marie-Luce Chevalier⁴

1: Université de Lyon, UCBL, ENSL, CNRS, LGL-TPE, 69622 Villeurbanne, France; 2: Université Grenoble-Alpes, CNRS, ISTerre, Grenoble, France; 3: Institute of Geology, China Earthquake Administration, Beijing, China; 4: Key Laboratory of Continental Dynamics, Institute of Geology, Chinese Academy of Geological Sciences, 26 Baiwanzhuang Rd, Beijing 100037, China

A Tool for relating Land Surface Temperature to Near-Air-Surface Air Temperature in Support of Urban Climate Studies and Smart Urbanization

Kostas Philippopoulos, Constantinos Cartalis

National and Kapodistrian University of Athens, Greece

Study on the Identification of Rice Varieties with Remote Sensing Data

Yanan Hao¹, Ruilian Li¹, Jinlong Fan²

1: China Agricultural University, China, People's Republic of; 2: NSMC, China, People's Republic of

The Feasibility Of Using Re-analysis Data As Thermal Infrared Radiometric Calibration Reference

Ya Nan Xue^1,2, Ning Wang¹, Lingling Ma¹, Xinhong Wang¹, Kun Li¹

1: Aerospace Information Research Institute, Chinese Academy of Sciences, China, People's Republic of; 2: School of Optoelectronics, University of Chinese Academy of Sciences, China, People's Republic of

Construction And Validation Of TOA Reflectance Reference Model For Stable Land Surface Target- Using Golmud Gobi Site As An Example

Peilan Song^1,2, Lingling Ma¹, Yongguang Zhao¹, Ning Wang¹, Yaokai Liu¹, Wan Li¹

1: Aerospace Information Research Institute, Chinese Academy of Sciences, China, People's Republic of; 2: School of Optoelectronics, University of Chinese Academy of Sciences, China, People's Republic of

Improved Reconstruction of Digital Terrain Models Below Tropical Forests Using Tomographic SAR Data Acquired at P Band

Mael Smessaert^2,3, Ludovic Villard², Laurent Polidori², Sandrine Daniel³, Laurent Ferro Famil¹

1: University of Rennes 1, France; 2: Cesbio, France; 3: Capgemini, France

A Covariance-based Feature Extraction Method for Temporal PolSAR

Jun Ni¹, Qiang Yin¹, Fan Zhang¹, Wen Hong²

1: Beijing University of Chemical Technology, China, People's Republic of; 2: University of Chinese Academy of Sciences

Forest Height Inversion Using X-Band Single-Pass InSAR Data Based on Multi-Level Model

Lei Zhao¹, Erxue Chen¹, Zengyuan Li¹, Wangfei Zhang², Kunpeng Xu¹

1: Institute of Forest Resources Information Techniques, Chinese Academy of Forestry; 2: Southwest Forestry University

Sequential InSAR Time Series Deformation Monitoring of Land Subsidence and Rebound in Xi'an, China

Baohang Wang, Chaoying Zhao, Qin Zhang

Chang'an University, China, People's Republic of

Mapping vertical crustal deformation over Weihe Basin, China using Sentinel-1 and ALOS-2 ScanSAR imagery

Yufen Niu¹, Feifei Qu¹, Wu Zhu¹, Qin Zhang¹, Zhong Lu², Chaoying Zhao¹, Wei Qu¹, Yaxuan Hu³

1: College of Geology Engineering and Geomatics, Chang’an University, Xi’an, 710054, China; 2: Department of Earth Sciences, Southern Methodist University, Dallas, TX, 75275, USA; 3: The Second Monitoring and Application Center, China Earthquake Administration, Xi’an 710054, China

Icebergs Recognition for Xuelong Ship Channel in Amundsen Sea Using Sentinel-1 Data

Zhenyu Liu¹, Xi Zhang²

1: South-Central Universtiy for Nationalities, China, People's Republic of; 2: First Institute of Oceanography, MNR

Impact Assessment Of Fully-Focused SAR Along-Track Resolution To Sea State Parameters

Ferran Gibert, Alba Granados, Albert Garcia-Mondéjar, Eduard Makhoul, Mònica Roca

isardSAT SL, Barcelona, Catalonia. Spain

Evaluation of merged sea-ice thickness from Cryosat-2 and Sentinel-3A Altimeters in Arctic

Meng Bao^1,2, Xi Zhang^1,2, Jun min Meng^1,2

1: First Institute of Oceanography, Ministry of Natural Resources, China, People's Republic of; 2: Ocean Telemetry Technology Innovation Center, Ministry of Natural Resources China, People's Republic of

Analysis of Coastal Wind Speed Retrieval from CYGNSS Mission Using Artificial Neural Network

Xiaohui Li^1,2, Dongkai Yang¹, Jingsong Yang², Gang Zheng², Guoqi Han³, Yang Nan⁴, Weiqiang Li⁵

1: School of Electronic and Information Engineering, Beihang University, Beijing, China; 2: State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China; 3: Fisheries and Oceans Canada, Institute of Ocean Sciences, Canada; 4: Wuhan University, Wuhan, China; 5: Institute of Space Sciences (ICE, CSIC), Spain

Is Atmospheric Correction Needed For Deep Learning Methods To Successfully Segment Phytoplankton Blooms?

Stephen Goult^1,2, Chunbo Luo², Stefan Simis¹, Shubha Sathyendranath¹, Tingwei Cui³

1: Plymouth Marine Laboratory, United Kingdom; 2: University of Exeter, United Kingdom; 3: Sun Yat-Sen University, China

A More Comprehensive Understanding of Coastal Flooding in SAR Imagery Based on Unsupervised Deep Learning

Bin Liu¹, Xiaofeng Li², Gang Zheng³

1: Shanghai Ocean University, China, People's Republic of; 2: Institute of Oceanology, Chinese Academy of Sciences, China, People's Republic of; 3: Second Institute of Oceanography, Ministry of Natural Resources, China, People's Republic of

A Sensitivity Analysis Of Sentinel-1 SAR Spectral Signatures Of Low-Backscattering Sea Areas

Valeria Corcione¹, Ferdinando Nunziata¹, Andrea Buono¹, Marcos Portabella², Maurizio Migliaccio¹

1: Università degli Studi di Napoli Parthenope, Italy; 2: The Institute of Marine Sciences, Spain

A Tropical Cyclone Tangential Wind Speed Estimation Model Based on C-Band Cross-Polarization SAR Observations

Sheng Wang^1,3, Xiaofeng Yang^1,3, Marcos Portabella²

1: State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy Sciences, Beijing 100101, China; 2: Institut de Ciencies del Mar (ICM - CSIC), Barcelona 08003, Spain; 3: Key Laboratory of Earth Observation of Hainan Province, Sanya Zhongke Remote Sensing Institute, Sanya 572029, China

Radar Backscattering Simulation of Sea Surface Oil Emulsions

Tingyu Meng^1,2, Xiaofeng Yang^1,3, Kun-Shan Chen⁴, Ferdinando Nunziata⁵, Andrea Buono⁵

1: State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China; 2: University of Chinese Academy of Sciences, Beijing, China; 3: Key Laboratory of Earth Observation of Hainan Province, Sanya Zhongke Remote Sensing Institute, Sanya, China; 4: College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, China; 5: Dipartimento di Ingegneria, University of Naples - Parthenope, Napoli, Italy

Evaluation The Performance Of WRF Using An Improved Albedo Parameterization Scheme During A Heavy Snowfall Event Over The Tibetan Plateau

Lian Liu¹, Massimo Menenti², Yaoming Ma^1,3,4, Weiqiang Ma^1,3

1: Institute of Tibetan Plateau Research, Chinese Academy of Sciences, China, People's Republic of; 2: State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100101, China; 3: CAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100101, China; 4: University of Chinese Academy of Sciences, Beijing 100049, China

Characterization And Interpretation Of Air Pollution Sources Based On SO2, NOx Emissions And HCHO Columns Over China Derived From The 2007-2018 OMI Data Set

Marina Zara, Ronald van der A, Jieying Ding

KNMI, Netherlands, The

Cloud Shadow Method for Retrieving Aerosol Optical Properties over Land

Minzheng Duan^1,2,3

1: Institute of Atmospheric Physics, China, People's Republic of; 2: College of Earth and Planetary Sciences, University of Chinese Academy of Sciences; 3: Chengdu University of Information Technology

NO_x Emissions From China In July 2019 Using TROPOMI Retrieval And The Influence On Surface NO₂ And O₃ Simulations

Qianqian Zhang

NSMC, China, People's Republic of

Volcanic SO2 retrieved from GF-5 Environmental Trace Gas Monitoring Instrument

Huanhuan Yan

NSMC, China, People's Republic of China

Evaluation of TanSat Carbon Dioxide total column measurements

Tomi Karppinen¹, Ella Kivimäki¹, Hannakaisa Lindqvist¹, Rigel Kivi¹, Hulin Chen², Johanna Tamminen¹

1: Finnish Meteorological Institute, Finland; 2: University of Groningen, The Netherlands

Airborne Wind Lidar Observations for the Validation of ESA’s Wind Mission Aeolus

Oliver Lux¹, Christian Lemmerz¹, Fabian Weiler¹, Uwe Marksteiner¹, Benjamin Witschas¹, Stephan Rahm¹, Alexander Geiß², Andreas Schäfler¹, Oliver Reitebuch¹

1: German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e.V., DLR), Institute of Atmospheric Physics, 82234 Oberpfaffenhofen, Germany; 2: Ludwig-Maximilians-University Munich, Meteorological Institute, 80333 Munich, Germany

The development of fine-resolution China Water Cover Map based on time series Sentinel imagery

Zhenguo Niu, Yang Li

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

Albedo of High Mountain Asia: a Complex Driver of Atmospheric and Land Surface Processes

Massimo Menenti^1,2, Shaoting Ren¹, Jing Zhang¹, Junru Jia¹, Lian Liu³, Francesca Pellicciotti⁴, Li Jia¹

1: State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; 2: Delft University of Technology, 2600 GA Delft, The Netherlands; 3: Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101; 4: Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland

Improving Glacier Energy Balance Model Using Sentinel-2 / MSI Data: A Case Study in Parlung No.4 Glacier In The Southeast Tibetan Plateau

Shaoting Ren^1,2,3, Achille Pierre Jouberton³, Massimo Menenti^1,4, Li Jia¹, Michael McCarthy³, Pascal Buri³, Evan Stewart Miles³, Stefan Fugger³, Francesca Pellicciotti³

1: Aerospace Information Research Institute, Chinese Academy of Sciences, China, People's Republic of; 2: University of Chinese Academy of Sciences, Beijing 100049, China; 3: Swiss Federal Research Institute WSL, 8906, Birmensdorf, Switzerland; 4: Faculty of Civil Engineering and Earth Sciences, Delft University of Technology, 2628 Delft, The Netherlands

Precipitation Phase Change Accelerates Glacier Mass Loss In The Southeastern Tibetan Plateau

Achille Pierre Jouberton¹, Thomas Edward Francis Shaw¹, Evan Miles¹, Shaoting Ren^1,2, Wei Yang^3,4, Michael McCarthy^1,5, Stefan Fugger^1,6, Amaury Dehecq⁷, Francesca Pellicciotti^1,8

1: Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), France; 2: State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; 3: Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China; 4: Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; 5: British Antarctic Survey,Natural Environment Research Council,Cambridge,UK; 6: Institute of Environmental Engineering, ETH Zurich, 8093 Zurich, Switzerland; 7: Laboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zurich, 8093, Zurich, Switzerland; 8: Department of Geography, Northumbria University, Newcastle, UK

Spatial-temporal Variability of Glacier Surface Velocity in the Parlung Zangbo Basin, Tibetan Plateau.

Jing Zhang^1,2, Li Jia¹, Massimo Menenti^1,3, Shaoting Ren^1,2

1: State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; 2: University of Chinese Academy of Sciences, Beijing 100049, China;; 3: Faculty of Civil Engineering and Earth Sciences, Delft University of Technology, 2628 CN Delft, The Netherlands

Supra-Glacial Ice Cliff Distribution in High Mountain Asia

Marin Kneib^1,2, Evan Miles¹, Pascal Buri¹, Thomas Shaw³, Francesca Pellicciotti^1,4

1: Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Birmensdorf, Switzerland; 2: Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland; 3: Advanced Mining Technology Center, Universidad de Chile, Santiago, Chile; 4: Department of Geography and Environmental Sciences, Northumbria University, UK

Detecting Seismic Anomalies from Satellite and Ground-based Network Data with Multiple Parameters

Yaxin Bi¹, Guoze Zhao², Vyron Christodoulou¹, Minjun Huang¹, Shane Harrigan¹, Bing Han², Ji Tang²

1: Ulster University, United Kingdom; 2: Institute of Geology, China Earthquake Administration

Landslide Geometry and Activity in Villa de la Independencia (Bolivia) Revealed by InSAR and Seismic Noise Measurements

Chuang Song¹, Chen Yu¹, Zhenhong Li^1,2, Veronica Pazzi³, Matteo Del Soldato³, Abel Cruz⁴, Stefano Utili¹

1: Newcastle University, United Kingdom; 2: Chang'an University, China; 3: University of Firenze, Italy; 4: Universidad Mayor de San Simon, Bolivia

Three- and Four-Dimensional Topographic Measurement and Validation

Fabio Rocca¹, Li Deren², Stefano Tebaldini¹, Mingsheng Liao², Timo Balz², Fabrizio Lombardini³, Xiaoli Ding⁴, Norbert Haala⁵, Ramon Hanssen⁶

1: Politecnico di Milano, Italy; 2: State Key Lab. of Information Eng. in Surveying, Mapping and Remote Sensing (LIESMARS) Wuhan University; 3: Università di Pisa; 4: Hong Kong Polytechnic University; 5: Universität Stuttgart; 6: TU Delft

Integrated Analysis of the Combined Risk of Ground Subsidence, Sea Level Rise, and Natural Hazards in Coastal and Delta River Regions: Outcome Results and Project Exploitation

Qing Zhao¹, Jiayi Pan², Adam Devlin², Qing Xu³, Maochuan Tang¹, Zhengjie Li¹, Virginia Zamparelli⁴, Francesco Falabella⁵, Pietro Mastro⁵, Antonio Pepe⁴

1: East China Normal University; 2: Jiangxi Normal University; 3: College of Oceanography, Hohai University, Nanjing 210098, China; 4: National Council Research of Italy, CNR-IREA, Napoli, Italy; 5: University of Basilicata, School of Engineering, Potenza, Italy

Landslide Identification, Movement Monitoring and Risk Assessment using Advanced Earth Observation Techniques

Joaquim J. Sousa^1,2, Guang Liu³, Jinghui Fan⁴, Zbigniew Perski⁵, Stefan Steger⁶, Shibiao Bai⁷, Lianhuan Wei⁸, Stefano Salvi⁹, Qun Wang¹⁰, Jienan Tu⁴, Liqiang Tong⁴, Peter Mayrhofer⁶, Ruth Sonnenschein⁶, Shanjun Liu⁸, Yachun Mao⁸, Cristiano Tolomei⁹, Christian Bignami⁹, Simone Atzori⁹, Giuseppe Pezzo⁹, Lixin Wu¹¹, Shiyong Yan¹²

1: Engineering Department, School of Science and Technology, University of Trás-os-Montes e Alto Douro, Portugal; 2: Centre for Robotics in Industry and Intelligent Systems (CRIIS), INESC Technology and Science, Porto, Portugal; 3: Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China; 4: China Aero Geophysical Survey and Remote Sensing Center for Natural Resources; 5: Carpathian Branch, Polish Geological Institute – National Research Institute, Cracow 31-560, Poland; 6: Institute for Earth Observation, Eurac Research, 39100 Bolzano, Italy; 7: College of Marine Science and Engineering, Nanjing Normal University, Nanjing, Jiangsu, China; 8: Northeastern University, Wenhua Road 3-11, Shenyang 110819, China; 9: Istituto Nazionale di Geofisica e Vulcanologia, National Earthquake Observatory, via di Vigna Murata 605, 00143 Rome, Italy; 10: China Highway Engineering Consultants Corporation, Beijing, China; 11: School of Geosciences and Info-Physics, Central South University, Changsha 410083, China; 12: MNR Key Laboratory of Land Environment and Disaster Monitoring, China University of Mining and Technology, Xuzhou, Jiangsu, China

From the Envisat Era to that of Sentinel-1 in the Analysis of Surface Deformation from InSAR : Case Studies Related to Tectonics, Hydrological and Geomorphological Processes and Human Activities on the Tibetan Plateau in China

Cécile Lasserre¹, Jianbao Sun², Marie-Pierre Doin³, Zhengkang Shen⁴, Laetitia Lemrabet¹, Simon Daout³, Tao Li²

1: LGLTPE, Université Lyon 1, CNRS, France; 2: Institute of Geology, China Earthquake Administration, Beijing, China; 3: ISTerre, Université Grenoble Alpes, CNRS, France; 4: Earth, Planetary, and Space Sciences, University of California, Los Angeles, California, USA

Using New Ocean Remote Sensing Data for Operational Applications: Results from the Dragon 4 Cooperation Project

Ferran Gibert¹, Junmin Meng²

1: isardSAT SL, Barcelona, Catalonia. Spain; 2: The First Institute of Oceanography, SOA, China

Synergistic Monitoring of Ocean Winds, Waves and Storm Surges from Multi-Sensors

Jingsong Yang¹, Lin Ren¹, He Wang², Alexis Mouche³, Xiaohui Li¹, Jianguo Liu⁴, Biao Zhang⁵, Gang Zheng¹, Guoqi Han⁶, Bertrand Chapron³

1: State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, MNR, China; 2: National Ocean Technology Center, MNR, China; 3: Institut Français de Recherche pour l’Exploitation de la Mer, France; 4: Imperial College London, UK; 5: Nanjing University of Information Science & Technology, China; 6: Fisheries and Oceans Canada, Canada

Spaceborne SAR for Ocean Wave Measurements in Global and Regional Scales

Xiaoming Li¹, Sven Jacobsen²

1: Aerospace Information Research Institution, Chinese Academy of Sciences, China, People's Republic of; 2: Maritime Safety and Security Lab Bremen, German Aerospace Center (DLR), Germany

Monitoring Dynamics of Suspended Sediment and Coastal Wetlands with High (Temporal/Spatial/Spectral) Resolution Satellite Images

Tingwei Cui^1,2,3, Shubha Sathyendranath⁴, Yi Ma⁵, Stefan Simis⁴, Guangbo Ren⁵, Jianbu Wang⁵, Stephen Goult⁴, Rongjie Liu⁵, Ping Qin⁶, Yanfang Xiao⁵, Bing Mu⁶

1: Sun Yat-Sen University (SYSU), People's Republic of China; 2: Key Laboratory of Tropical Atmosphere-Ocean System, Ministry of Education, China; 3: Southern Marine Science and Engineering Guangdong Laboratory, China; 4: Plymouth Marine Laboratory (PML), Plymouth UK; 5: First Institute of Oceanography (FIO), Ministry of Natural Resources, China; 6: Ocean University of China (OUC), China

Microwave Satellite Measurements For Coastal Area And Extreme Weather Monitoring

Ferdinando Nunziata¹, Xiaofeng Li², Armando Marino³, Weizeng Shao⁴, Marcos Portabella⁵, Xiaofeng Yang⁶

1: Università degli Studi di Napoli Parthenope, Italy; 2: Institute of Oceanography, Chinese Academy of Sciences, China; 3: Stirling University, UK; 4: Shanghai Ocean University, China; 5: The Institute of Marine Sciences, Spain; 6: State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, China

Multi-Sensor Study of Upwelling Including SAR

Werner Alpers¹, Francesco Bignami², Kan Zeng³

1: University of Hamburg, Germany; 2: Istituto di Scienze Marine, CNR, Rome, Italy; 3: Ocean University of China, Qingdao, China

EO4SmartCities: Earth Observation Based Urban Services for Smart Cities and Sustainable Urbanization

Yifang Ban¹, Chenghu Zhou², Paolo Gamba³, Peijun Du⁴, Constantinos Cartalis⁵, Huili Gong⁶, Mi Jiang⁷, Xin Huang⁸, Yinghai Ke⁶

1: KTH Royal Institute of Technology, Sweden; 2: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences; 3: University of Pavia, Italy; 4: Nanjing University, China; 5: University of Athens, Greece; 6: Capital Normal University, China; 7: Hohai University, China; 8: Wuhan University, China

Sino–EU Earth Observation Data to Support the Monitoring and Management of Agricultural Resources

Raffaele Casa², Wenjiang Huang³, Giovanni Laneve⁵, Stefano Pignatti¹, Guijun Yang⁴, Pablo Marzialetti⁵, Nada Mzid², Simone Pascucci¹, Massimo Tolomio², Deepak Upreti², Hao Yang⁴

1: CNR Institute of Methodologies for Environmental Analysis (CNR IMAA), Italy; 2: Department of Agricultural and Forestry scieNcEs (DAFNE) Università della Tuscia (IT); 3: Aerospace Information Research Institute, Chinese Academy of Sciences; 4: Beijing Research Center for Information Technology in Agriculture (China); 5: Earth Observation Satellite Images Applications Lab (EOSIAL) Università di Roma 'La Sapienza'

Crop Mapping with combined use of European and Chinese Satellite Data

Jinlong Fan¹, Pierre Defourny², Xiaoyu Zhang³, Qinghan Dong⁴, Limin Wang⁵

1: National Satellite Meteorological Center, China, People's Republic of; 2: Earth and Life Institute, Universite Catholique de Louvain, Belgium; 3: Ningixa Institute of Meteorological Sciences, China, People's Republic of; 4: Department of Remote Sensing, Flemish Institute of Technological Research, Belgium; 5: MOA Key Laboratory of Agricultural Remote Sensing, Institute of Agro-Resources and Regional Planning, Chinese Academy of Agricultural Sciences, China, People's Republic of

The Summary of Calibration and Data Quality Assurance for Quantitative Remote Sensing

Chuanrong Li¹, Philippe Goryl², Lingling Ma¹, Jieying He³, Cheng Liu⁴, Pucai Wang⁵, Ning Wang¹

1: The Aerospace Information Research Institute, Chinese Academy of Sciences, China, People's Republic of; 2: European Space Agency (ESA/ESRIN), Largo Galileo Galilei 1, 00044 Frascati (Roma), Italy; 3: National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China; 4: University of Science and Technology of China, Hefei, Anhui, 230026, China; 5: nstitute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China

Monitoring Water and Energy Cycles at Climate Scale in the Third Pole Environment (CLIMATE-TPE)

Z. {Bob} Su¹, Yaoming Yaoming Ma²

1: University of Twente, The Netherlands; 2: Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China

Air Quality Over China

Ronald van der A¹, Gerrit de Leeuw¹, Jianhui Bai², Yong Xue³, Costas Varotsos⁴, Zhengqiang Li⁵, Cheng Fan⁵, Jieying Ding¹, Ioannes Cristodoulakis⁴, Xingfeng Chen⁵, Xuewei Hou⁶, Jing Wang⁶, Kainan Zhang⁷, Ying Zhang⁵, Marina Zara¹

1: KNMI, The Netherlands; 2: IAP-CAS, China; 3: CUMT, China; 4: University of Athens, Greece; 5: AIR-CAS, China; 6: NUIST, China; 7: Chang'an University, China

Monitoring Greenhouse Gases from Space

Hartmut Boesch¹, Yi Liu², Johanna Tamminen³, Dongxu Yang², Zhaonan Cai², K. Che², Antonio Di Noia¹, Liang Feng⁴, Janne Hakkarainen³, Iolanda Ialongo³, Nikoleta Kalaitzi¹, Tomi Karppinen³, Rigel Kivi³, Ella Kivimäki³, Hannakaisa Lindqvist³, Paul Palmer⁴, Robert Parker¹, Simon Preval¹, Jing Wang², Alex Webb¹, L. Yao²

1: School of Physics and Astronomy, University of Leicester, Leicester, UK; 2: Key Laboratory of the Middle Atmosphere and Global Environmental Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China,; 3: Finnish Meteorological Institute, Helsinki and Sodankylä, Finland; 4: School of GeoSciences, University of Edinburgh, Edinburgh, UK

Validation of Wind Lidar Observations from Aeolus, Study of Long-range Transport of Aerosol and Preparation of a Future Chinese CO₂ Lidar Mission

Oliver Reitebuch¹, Songhua Wu^2,3, Weibiao Chen⁴, Christian Lemmerz¹, Oliver Lux¹, Fabian Weiler¹, Benjamin Witschas¹, Guangyao Dai², Xiaoquan Song^2,3, Bingyi Liu^2,3, Xiaochun Zhai^2,5, Jiqiao Liu⁴

1: Deutsches Zentrum f. Luft- u. Raumfahrt DLR, Institute of Atmospheric Physics, 82234 Wessling, Germany; 2: Department of Marine Technology, College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China; 3: Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, China; 4: Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China; 5: National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China

Forest Dragon 4 Final Results

Zengyuan Li¹, Christiana Schmullius², Erxue Chen¹, Laurent Ferro-Famil³, Yong Pang¹, Xin Tian¹

1: Chinese Academy of Forestry, P.R.China; 2: University Jena, Germany; 3: IETR/University of Rennes 1, France

Final Report Of Dragon 4 Project (ID:32396) :Land Degradation Surveillance Of Ddrylands In China

Zhihai Gao^1,2, Gabriel del Barrio³, Li Xiaosong⁴, Jaime Martinez-Valderrama⁵, Bin Sun^1,2, Maria Sanjuan³, Yan Ziyu^1,2, Alberto Ruiz³

1: Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China; 2: Key Laboratory of Forestry Remote Sensing and Information System, NFGA, Beijing 100094, China; 3: Estacion Experimental de Zonas Aridas, Consejo Superior de Investigaciones Científicas, La Cañada de San Urbano, Almeria 04120, Spain.; 4: Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China; 5: Instituto para la Investigación del Madio Ramón Margalef, San Vicente del Raspeig 03690, Alicante, Spain

Two Periods of Glacier Mass Balance at Central and Eastern Nyainqentanglha Derived from Multi-platform Bistatic SAR Interferometry

Li Gang¹, Hui Lin², Qinghua Ye³, Liming Jiang⁴, Andrew Hooper⁵

1: School of Geospatial Engineering and Science, Sun Yat-Sen University; 2: School of Geography and Environment, Jiangxi Normal University, China; 3: Institute of Tibetan Plateau Research, Chinese Academy of Sciences, China; 4: State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences; 5: COMET, School of Earth and Environment, University of Leeds, UK

Earth Observation to Investigate Characteristics and Changes of Glaciers and Rock Glaciers in High Mountain Asia

Tobias Bolch¹, Tandong Yao², Philipp Rastner³, Guoqing Zhang², Atanu Bhattacharya¹, Owen King¹, Yan Hu⁴, Lin Liu⁴

1: University of St Andrews, United Kingdom; 2: Institute of Tiebtan Plateau Research, Chinese Academy of Sciences, China; 3: University of Zurich, Switzerland; 4: The Chinese University of Hong Kong, Hong Kong, China

New Earth Observations tools for Water resource and quality monitoring in Yangtze wetlands and lakes

Herve Yesou¹, Hongtao Duan², Juliane Huth³, Yachang Chang⁴, Steven Loiselle⁶, Zhenguo Niu⁵, Julien Briant¹, Martin Wikelski⁴, Yeaqiao Wang⁷, Shuhua Qi⁷, Lei Cao⁸, Claudia Kuenzer³, Jean-François Cretaux⁹, Xijun Lai², Xiaoling Chen¹⁰

1: ICUBE SERTIT, Unv. Strasbourg, France; 2: NIGLAS, nanjing, Pr China; 3: Earth Obs. Center, DLR, Wessling, Germany; 4: Max Planck inst., Radolfzell, Germany; 5: Radi, Beijing, PR China; 6: CSGI, Unv Sienna, Italy; 7: PLKL, Nor. Univ. Nanchang, PR China; 8: RCEES, CSA, Biejing, PR China; 9: LEGO,? Toulouse, France; 10: LIESMARS, univ Wuhan, PR China

Calibration and Validation of Microwave Remote Sensing Data for Water Cycle Research

Jiancheng Shi¹, Yann Kerr², Dongkai Yang³, Alain Geiger⁴, Tianjie Zhao⁵, Jinmei Pan⁵, Mutian Han³, Ladina Steiner⁴, Dabin Ji⁵, Rui Li⁵, Michael Meindl⁴, Panpan Yao⁵, Yunlong Zhu³, Xuebao Hong³, Tao Chen⁵, Lu Hu⁵

1: The National Space Science Center, Chinese Academy of Sciences,Beijing, China; 2: CESBIO (CNRS/IRD/CNES/UPS), Toulouse, France; 3: School of Electronic and Information Engineering, Beihang University,Beijing, China; 4: Institute Geodesy and Photogrammetry, ETH, Zurich, Switzerland; 5: The Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

Multi – source hydrological data products to monitor High Asian River Basins and regional water security

Massimo Menenti¹, Xin Li², Li Jia³, Kun Yang⁴, Francesca Pellicciotti⁵, Marco Mancini⁶, Maria Josè Escorihuela⁷, Jiancheng Shi⁸

1: Delft University of Technology, 2600 GA Delft, The Netherlands; 2: Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China; 3: State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; 4: Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 10084, China; 5: Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland; 6: Politecnico di Milano, Milano 20133, Italy; 7: IsardSAT, Barcelona 08001, Spain; 8: National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China