Conference Agenda

Crop type mapping using Sentinel-2 data – a case study from Parvomay, Bulgaria

Ilina Boyanova Kamenova¹, Qinghan Dong², Zhu Liang³

1: Space Research and Technology Institute - Bulgarian Academy of Sciences, Bulgaria; 2: VITO - Belgium; 3: Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences

The Progress of Retrieving Crop Growth information From Multiple Source Satellite Data to Support Sustainable Agriculture

Jinlong Fan¹, Pierre Defourny²

1: National Satellite Meteorological Center, China, People's Republic of; 2: Université catholique de Louvain

Dr5 59061: Satellite Observations for Improving Irrigation Water Management (Sat4IrriWater): 2^nd year progress

Li Jia¹, Marco Mancini², Chaolei Zheng¹, Chiara Corbari², Qiting Chen¹, N Paciolla², Min Jiang¹, Yu Bai¹, Tianjie Zhao¹, Ali Bennour¹, Guangcheng Hu¹, Jing Lu¹, Massimo Menenti¹

1: Aerospace Information Research Institute, Chinese Academy of Sciences, China, People's Republic of; 2: DICA, Politecnico di Milano, Italy

Remote Sensing Estimation and Spatio-temporal Dynamic Analysis of Vegetation Carbon Sinks at Different Scales

Liang Liang¹, Carsten Montzka², Wang Shuguo¹, Wang Lijuan¹, Liu Wensong¹, Qiu Siyi¹, Wang Qianjie¹

1: Jiangsu Normal University, Xuzhou, China; 2: Forschungszentrum Jülich, Institute of Bio- and Geosciences: Agrosphere (IBG-3)

Sino-Eu Optical Data To Predict Agronomical Variables And To Monitor And Forecast Crop Pests And Diseases. Mid Term Results

Stefano Pignatti¹, Raffaele Casa², Giovanni Laneve³, Guijun Yang⁴, Hao Yang⁴, Wenjiang Huang⁵

1: Consiglio Nazionale delle Ricerche, Institute of Methodologies for Environmental Analysis (CNR, IMAA), Via del Fosso del Cavaliere, 100, 00133 Rome, Italy; 2: DAFNE, Università della Tuscia, Via San Camillo de Lellis, 01100 Viterbo, Italy; 3: Scuola di Ingegneria Aerospaziale, Sapienza Università di Roma, Rome, Italy; 4: Beijing Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; 5: Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

Earth Observation in Support of the Assessment of the Role of Urban Form and Urban Fabric on Surface Thermal Dynamics

Constantinos Cartalis¹, Gong Huili², Yinghai Ke², Ilias Agathangelidis¹, Anastasios Polydoros¹, Konstantinos Philippopoulos¹, Thalia Mavrakou¹

1: National and Kapodistrian University of Athens, Greece; 2: College of Resources, Environment and Tourism, Capital Normal University, Beijing, China

EO-AI4Urban:Earth Observation Big Data and Deep Learning for Sustainable and Resilient Cities

Yifang Ban¹, Yunming Ye², Paolo Gamba³, Kun Tan⁴, Linlin Lu⁵, Peijun Du⁶

1: KTH Royal Institute of Technology, Sweden; 2: Harbin Institute of Technology, China; 3: University of Pavia, Italy; 4: East China Normal University, China; 5: Aerospace Information Research Institute, Chinese Academy of Sciences, China; 6: Nanjing University, China

Remote Sensing Image Interpretation with Deep Learning in Open and Challenging World

Weiwei Guo¹, Zenghui Zhang², Daniela Faur³, Yin Xu², Siyuan Zhao², Chenxuan Li², Liu Dai¹

1: Tongji University, China, People's Republic of China; 2: Shanghai Jiaotong University, People's Republic of China; 3: Politehnica University of Bucharest, Romania

Big Data Intelligent Mining and Visual Analysis of Ocean Mesoscale Eddies

Fenglin Tian^1,2, Shuang Long^1,2, Shuai Wang³

1: Frontiers Science Center for Deep Ocean Multispheres and Earth System, School of Marine Technology, Ocean University of China, Qingdao China, 266100; 2: Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao China, 266237; 3: Space and Atmospheric Physics Group, Department of Physics, Imperial College London, SW7 2AZ UK

Application of Remote Sensing in Forest Phenological Monitoring and Environmental Quality Assessment

Yunsheng Wang⁵, Yan Song^1,2,3,4, Sijia Wang¹, Mariana Batista Campos⁵, Jie Sun^1,4, Eetu Puttonen⁵

1: School of Geography and Information Engineering, China University of Geosciences(Wuhan), Wuhan, China; 2: School of Public Administration, China University of Geosciences(Wuhan), Wuhan, China; 3: Key Laboratory of Geological Survey and Evaluation of Ministry of Education, China University of Geosciences(Wuhan), Wuhan, China; 4: National Engineering Research Center of Geographic Information System, China University of Geosciences(Wuhan), Wuhan, China; 5: Finnish Geospatial Research Institute, National Land Survey of Finland

Mapping Forest Parameters and Forest Damage for Sustainable Forest Management from Data Fusion of Satellite Data

Xiaoli Zhang¹, Johan Fransson², Langning Huo², Ning Zhang³, Henrik Persson², Yueting Wang¹, Eva Lindberg², Niwen Li¹, Ivan Huuva², Guoqi Chai¹, Lingting Lei¹, Long Chen¹, Xiang Jia¹, Zongqi Yao¹

1: Beijing Forestry University, China; 2: Swedish University of Agricultural Sciences, Sweden; 3: Beijing Research Center for Information Technology in Agriculture

Characterization Of Forests Using 3D Polarimetric Imaging and Time-Series Of SAR Acquisitions

Laurent Ferro-Famil^1,2, Erxue Chen³, Yue Huang^2,4, Ludovic Villard², Thuy Le Toan², Zengyuan Li³

1: ISAE-SUPAERO, University of Toulouse, France; 2: CESBIO, University of Toulouse, France; 3: The research Institute of Forest Resources Information Technique, Chinese Academy of Forestry,Beijing, China; 4: IETR, University of Toulouse, France

2^nd Year Progress of CEFO Project (China-ESA Forest Observation)

Juan Suárez⁴, Yong Pang^1,2, James Hitchcock⁴, Gerrard English⁴, Liming Du^1,2, Wen Jia^1,2, Antony Walker⁴, Jacqueline Rosette³, Zengyuan Li^1,2, Shiming Li^1,2, Tao Yu^1,2, Ming Yan^1,2

1: Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China; 2: Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China; 3: Global Environmental Modelling and Earth Observation (GEMEO), Department of Geography, Swansea University, Swansea SA2 8PP, UK; 4: Forest Research, Northern Research Station, Roslin, Midlothian EH25 9SY, Scotland, UK

High Spatial Resolution Topsoil Organic Matter Content Mapping Across Desertified Land in Northern China

Xiaosong Li¹, Alan Grainger², Zhihai Gao³, Bin Sun³

1: International Center of Big Data for Sustainable Development Goals, China, People's Republic of; 2: University of Leeds; 3: Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry

Integration of Multi-Source Remote Sensing Data to Detect and Monitoring Large and Rapid Landslides and Use of Artificial Intelligence for Cultural Heritage Preservation

Joaquim J. Sousa¹, Jinghui Fan²

1: UTAD, Portugal; 2: China Aero Geophysical Survey and Remote Sensing Center for Natural Resources

Surface Deformation Monitoring of Tectonic Motion and Anthropogenic Activities over Mainland of China by InSAR and GPS Data

Jianbao Sun¹, Zhaoyang Zhang¹, Yaxin Bi², Xuemin Zhang³, Cecile Lasserre⁴

1: Institute of Geology, China Earthquake Administration, Beijing 100029, China; 2: School of Computing, Faculty of Computing, Engineering and the Built Environment, Ulster University, Jordanstown, Newtownabbey, Co Antrim, UK; 3: Institute of Earthquake Forecasting, China Earthquake Administration, Beijing 100060, China; 4: LGL-TPE, University of Lyon, France

Comparative Study on Seismic Precursors Detected from Swarm by Deep Machine Learning-based Approaches

Yaxin Bi, Xuemin Zhang, Jianbao Sun, Mingjun Huang, Cecile Lasserre

Ulster University, United Kingdom

Earth Observation for Landslide Early Warning System

Roberto Tomás¹, Qiming Zeng², Juan Manuel Lopez-Sanchez³, Chaoying Zhao⁴, Zhenhong Li⁴, Xioajie Liu^1,4, María Inés Navarro-Hernández¹, Liuru Hu^1,5,6, Jiayin Luo³, Esteban Díaz¹, William T. Szeibert¹, José Luis Pastor¹, Adrián Riquelme¹, Miguel Cano¹

1: Departamento de Ingeniería Civil, University of Alicante, Alicante, Spain; 2: Institute of Remote Sensing and Geographic Information System, School of Earth and Space Science, Peking University, Beijing, China; 3: Departamento de Física, ingeniería de Sistemas y Teoría de a Señal. University of Alicante, Alicante, Spain; 4: College of Geological Engineering and Geomatics, Chang'an University, Xi'an, China; 5: Land Satellite Remote Sensing Application Center (LASAC), Ministry of Natural Resources of P.R. China, Beijing, China; 6: The First Topographic Surveying Brigade of Ministry of Natural Resources of the People's Republic of China, Xi'an, China

Collaborative Monitoring Of Different Hazards And Environmental Impact Due To Heavy Industrial Activity And Natural Phenomena With Multi-source Remote Sensing Data

Lianhuan Wei¹, Meng Ao¹, Shanjun Liu¹, Cristiano Tolomei², Christian Bignami², Stefano Salvi², Elisa Trasatti², Guido Ventura²

1: Northeastern University, Shenyang, China; 2: INGV, Rome, Italy

Exploiting Satellite SAR for Archaeological Prospection and Heritage Site Protection: Current Achievements from the Dragon-5 SARchaeology Project

Francesca Cigna¹, Timo Balz², Deodato Tapete³, Gino Caspari⁴, Bihong Fu⁵, Michele Abballe¹, Haonan Jiang²

1: National Research Council - Institute of Atmospheric Sciences and Climate (CNR-ISAC), Italy; 2: State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, China; 3: Italian Space Agency (ASI), Italy; 4: Department of Archaeology, University of Sydney, Australia; 5: Aerospace Information Research Institute, Chinese Academy of Sciences (AIR-CAS), China