TU1.T11: Local and Regional Applications of Integrated In-situ and Remote Sensing Data III

Session Type: Oral
Time: Tuesday, July 23, 08:20 - 10:00
Location: Room 105
Session Chairs: Miriam Baltuck, CSIRO and Karen Moe, National Aeronautics and Space Administration
 
[View Video] TU1.T11.1: TOWARDS A SENSOR WEB ARCHITECTURE FOR DISASTER MANAGEMENT: INSIGHTS FROM THE NAMIBIA FLOOD PILOT
         Stuart Frye; Stinger Ghaffarian Technologies, Inc.
         Karen Moe; NASA
         Dan Mandl; NASA
         Matt Handy; NASA
         George Percivall; The Open Geospatial Consortium
         John Evans; Global Science & Technology, Inc.
 
[View Video] TU1.T11.2: INTEGRATING REMOTE SENSING AND SUPER-LOW FREQUENCY ELECTROMAGNETIC TECHNOLOGY IN EXPLORATION OF BURIED FAULTS
         Li Chen; Institute of Remote Sensing and Geographic Information System, Peking University
         Qiming Qin; Institute of Remote Sensing and Geographic Information System, Peking University
         Yanbing Bai; Institute of Remote Sensing and Geographic Information System, Peking University
         Nan Wang; Institute of Remote Sensing and Geographic Information System, Peking University
         Jun Wang; Institute of Remote Sensing and Geographic Information System, Peking University
         Chao Chen; Institute of Remote Sensing and Geographic Information System, Peking University
 
[View Video] TU1.T11.3: SENSOR WEB APPROACH TO FLOOD MONITORING AND RISK ASSESSMENT
         Nataliia Kussul; Space Research Institute NASU-SSAU
         Sergii Skakun; Space Research Institute NASU-SSAU
         Andrii Shelestov; Space Research Institute NASU-SSAU
         Olga Kussul; National Technical University of Ukraine “Kyiv Polytechnic Institute”
 
[View Video] TU1.T11.4: THE QUANTITATIVE PREDICTION OF COALBED METHANE GAS CONTENT BASED ON SUPER-LOW FREQUENCY ELECTROMAGNETIC TECHNOLOGY
         Yanbing Bai; Peking University
         Qiming Qin; Peking University
         Li Chen; Peking University
         Nan Wang; Peking University
         Jianhua Wang; Peking University
         Chao Chen; Peking University
 
[View Video] TU1.T11.5: A NOVEL HIERARCHICAL METHOD FOR CHANGE DETECTION IN MULTITEMPORAL HYPERSPECTRAL IMAGES
         Sicong Liu; University of Trento
         Lorenzo Bruzzone; University of Trento
         Francesca Bovolo; University of Trento
         Peijun Du; Nanjing University