MOP.PR: Monitoring Natural Disaster: Floods and Landslides

Session Type: Poster
Time: Monday, July 27, 17:20 - 19:00
Location: Poster Area R
Session Chair: Marco Chini, Lippmann
 
MOP.PR.1: SPECKLE REDUCTION APPROACH FOR DETECTING FLOOD INUNDATION AREA BY USING ALOS PALSAR
         A. Besse Rimba; Yamaguchi University
         Fusanori Miura; Yamaguchi University
         Martiwi Setiawati; Yamaguchi University
         Abd. Rahman As-Syakur; Udayana University
         Abu Bakar Sambah; Yamaguchi University
 
MOP.PR.2: DEVELOPMENT OF LARGE SCALE FLOODING DETECTION METHOD BY INTEGRATING HISTORICAL GLOBAL RECORD USING AMSR-E/AMSR2 WITH PALSAR
         Xi Li; The University of Tokyo
         Wataru Takeuchi; The University of Tokyo
 
MOP.PR.3: KFDA-BASED CROPLAND INUNDATION CHANGE DETECTION WITH AN AUTOMATIC METHOD FOR TRAINING SAMPLE EXTRACTION
         Shuchen Chen; Beijing Normal University
         Xiufang Zhu; Beijing Normal University
         Yaozhong Pan; Beijing Normal University
         Yizhan Li; Beijing Normal University
         Guanyuan Shuai; Beijing Normal University
         Xianfeng Liu; Beijing Normal University
         Muyi Li; Beijing Normal University
 
MOP.PR.4: JOINT USE OF X- AND C-BAND SAR IMAGES FOR FLOOD MONITORING: THE 2014 PO RIVER BASIN CASE STUDY
         Giorgio Boni; CIMA Research Foundation
         Nazzareno Pierdicca; Sapienza University of Rome
         Luca Pulvirenti; CIMA Research Foundation
         Giuseppe Squicciarino; CIMA Research Foundation
         Laura Candela; Agenzia Spaziale Italiana (ASI)
 
MOP.PR.5: USER ORIENTED MULTIDISCIPLINARY APPROACH TO FLOOD MAPPING: THE EXPERIENCE OF THE ITALIAN CIVIL PROTECTION SYSTEM
         Giorgio Boni; CIMA Research Foundation
         Luca Pulvirenti; CIMA Research Foundation
         Francesco Silvestro; CIMA Research Foundation
         Giuseppe Squicciarino; CIMA Research Foundation
         Paola Pagliara; Italian Civil Protection Department
         Roberta Onori; Italian Civil Protection Department
         Chiara Proietti; Italian Civil Protection Department
         Laura Candela; Agenzia Spaziale Italiana (ASI)
         Anna Rita Pisani; Agenzia Spaziale Italiana (ASI)
         Simona Zoffoli; Agenzia Spaziale Italiana (ASI)
 
MOP.PR.6: USING BIG GEOSPATIAL DATA FOR FAST FLOOD DETECTION: DEVELOPMENTS FROM THE IQMULUS PROJECT
         Daniel Kristof; FÖMI - Institute of Geodesy, Cartography and Remote Sensing
         Roberto Giachetta; Eötvös Loránd University (ELTE)
         Angela Olasz; FÖMI - Institute of Geodesy, Cartography and Remote Sensing
         Marta Belenyesi; FÖMI - Institute of Geodesy, Cartography and Remote Sensing
         Binh Nguyen Thai; FÖMI - Institute of Geodesy, Cartography and Remote Sensing
         Melinda Harsanyi; FÖMI - Institute of Geodesy, Cartography and Remote Sensing
 
MOP.PR.7: MICRO-UAV BASED REMOTE SENSING METHOD FOR MONITORING LANDSLIDES IN THREE GORGES RESERVOIR, CHINA
         Haifeng Huang; China Three Gorges University
         Yiming Lv; China Three Gorges University
         Xiaofei Du; China Three Gorges University
         Haiyu Lin; China Three Gorges University
         Shang Jiang; China Three Gorges University
         Jinjin Long; China Three Gorges University
 
MOP.PR.8: SPATIAL AND CORRELATION ANALYSIS OF LANDSLIDES TRIGGERED BY THE LUDDIAN EARTHQUAKE
         Xiaoxuan Li; National Earthquake Infrastructure Service
         Weiping Lian; National Earthquake Infrastructure Service
         Haijian Ma; National Earthquake Infrastructure Service
         Deyong Hu; Capital Normal University
 
MOP.PR.9: ASSESSMENT OF SUPERVISED METHODS FOR MAPPING RAINFALL INDUCED LANDSLIDES IN VHR IMAGES
         Sandra Heleno; Instituto Superior Técnico, University of Lisbon
         Margarida Silveira; Instituto Superior Técnico, University of Lisbon
         Magda Matias; Instituto Superior Técnico, University of Lisbon
         Pedro Pina; Instituto Superior Técnico, University of Lisbon