MOP2.PG: Change Detection Applications

Session Type: Poster
Time: Monday, July 24, 15:20 - 16:20
Location: Exhibit Hall B/C: Poster Area G
Session Chairs: Daniele Marinelli, University of Trento and Sicong Liu, Tongji University
 
 [Overview Presentation] MOP2.PG.1: LARGE FLOOD MAPPING USING SYNCRO WATER INDEX COUPLING WITH HYDRO DATA AND TIME SERIES MODIS IMAGES
         Young-joo Kwak; PWRI
         Jonggeol Park; TUIS
         Yoichi Iwami; PWRI
 
MOP2.PG.2: CHANGE DETECTION OF MARINE RECLAMATION USING MULTISPECTRAL IMAGES VIA PATCH-BASED RECURRENT NEURAL NETWORK
         Jie Geng; Dalian University of Technology
         Jianchao Fan; National Marine Environmental Monitoring Center
         Hongyu Wang; Dalian University of Technology
         Xiaorui Ma; Dalian University of Technology
 
MOP2.PG.3: ASSESSING SNOW EXTENT VARIATIONS OF ILLIMANI MOUNTAIN WITH LANDSAT NDSI
         Jorge Antonio Silva Centeno; Federal University of Paraná – UFPR
         Edson Aparecido Mitishita; Federal University of Paraná – UFPR
         Regina Tiemy Kishi; Federal University of Paraná – UFPR
 
MOP2.PG.4: HIERARCHICAL CHANGE DETECTION FRAMEWORK FOR BIOMASS MONITORING
         Zexi Chen; North Carolina State University
         Bharathkumar Ramachandra; North Carolina State University
         Ranga Vatsavai; North Carolina State University
 
MOP2.PG.5: CHANGE DETECTION ASSESSMENT IN A TROPICAL FOREST USING MULTISPECTRAL AND HYPERSPECTRAL IMAGES
         Ernesto Reyes; University of Puerto Rico
         Rita Jakelyn Abad; University of Puerto Rico
         Julio Diaz; University of Puerto Rico
         Vidya Manian; University of Puerto Rico
 
MOP2.PG.6: SEMI-ANALYTICAL APPROACH COMBINED& NEURAL NETWORK TECHNOLOGY MODEL CHLOROPHYLL-A CONCENTRATION BY REMOTE SENSING
         Dacheng Wang; Chinese Academy of Sciences
         Xiaojing Yao; Chinese Academy of Sciences, Beijing
         Shaolong Cui; Chinese Academy of Sciences
         Chi Tianhe; Chinese Academy of Sciences
         Lin Peng; Chinese Academy of Sciences