International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TU1.O-18: Hazards Monitoring and Assessment Using Multi-Source Observations and Big Data Mining: Methodologies and Case Studies
Tue, 13 Jul, 08:30 - 10:00 (UTC)
Tue, 13 Jul, 10:30 - 12:00 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 16:30 - 18:00 China Standard Time (UTC +8)
Tue, 13 Jul, 04:30 - 06:00 Eastern Standard Time (UTC -4)
Session Co-Chairs: Tao Guo, PIESAT Information Technology Co., Ltd. and Christian Tøttrup, DHI GARS
Session Manager: Diego Bueso
Track: Invited Sessions

TU1.O-18.1: UNDERSTANDING THE SUBSIDENCE HAZARD WITH MULTI-SOURCE DATA AND ML MODELS – A CASE STUDY IN YANGTZE RIVER DELTA OF CHINA

Panpan Tang, Nanhu Laboratory, China; Yuxiang Wang, Xia Lei, PIESAT Information Technology Co., Ltd, China; Peng Gou, Nanhu Laboratory, China

TU1.O-18.3: MULTI-MISSION REMOTE SENSING OBSERVATIONS FOR OPTIMIZING HYDROLOGICAL HAZARD PREDICTIONS

Cecile Kittel, Daniel Druce, DHI-GRAS, Denmark; Karina Nielsen, Peter Bauer-Gottwein, Technical University of Denmark, Denmark; Christian Tøttrup, DHI-GRAS, Denmark

TU1.O-18.4: QUANTITATIVE, NEAR REAL-TIME MAPPING OF BUSHFIRES THROUGH INTEGRATION OF OPTICAL AND SAR REMOTE SENSING TECHNIQUES

Linlin Ge, UNSW, Australia; Yufei Wang, Piesat Information Technology, Australia; Qi Zhang, Zheyuan Du, Chang Liu, Yifei Dong, Tony Sleigh, UNSW, Australia; Tao Guo, Xia Lei, Zhewen Ma, Piesat Information Technology, Australia

TU1.O-18.5: Glacial lake outburst floods and glacial lake monitoring in the Himalaya based on remote sensing observations

Yong Nie, Muchu Lesi, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, China; Jida Wang, Department of Geography and Geospatial Sciences, Kansas State University, United States; Wen Wang, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, China

TU1.O-18.6: DOWNSCALING OF SATELLITE SOIL MOISTURE PRODUCTS AND ITS APPLICATIONS IN DROUGHT MONITORING

Jicheng Liu, Yuan Zhou, Laboratory of Environmental Model & Data Optima (EMDO), United States