TU4.R1.3
MONITORING LOMG-TERM SEASNOAL DEGRADATION IN WESTERN AUSTRALIAN WETLANDS USING REMOTE SENSING AND DEEP LEARNING
Fawziah Almutairi, Ashraf Dewan, Todd Robinson, Curtin University, Australia
Session:
TU4.R1: Wetland Mapping and Monitoring Using Remote Sensing Oral
Track:
Community Contributed Themes
Location:
TBD
Presentation Time:
Tue, 11 Aug, 16:45 - 17:00
Presentation
Discussion
Resources
No resources available.
Session TU4.R1
TU4.R1.1: TRAINING DATA SELECTION EFFECTS IN INVENTORY-BASED WETLAND MAPPING
Amrita Gupta, Tammy Glazer, Microsoft, United States; Jesus Rueda-Becerril, Jesse Anderson, TealWaters, United States; Anthony Ortiz, Allen Kim, Microsoft, United States; Dan Miller, Meghan Halabisky, TealWaters, United States
TU4.R1.2: Region Consistent Hypergraph-Regularised Learning for Coastal Wetland Hyperspectral Mapping under Noisy Annotations
Derrick Effah, Griffith University, Australia; Ali Zia, LaTrobe University, Australia; Mohammad Gao, Yongsheng Gao, Griffith University, Australia
TU4.R1.3: MONITORING LOMG-TERM SEASNOAL DEGRADATION IN WESTERN AUSTRALIAN WETLANDS USING REMOTE SENSING AND DEEP LEARNING
Fawziah Almutairi, Ashraf Dewan, Todd Robinson, Curtin University, Australia
TU4.R1.4: MONITORING SURFACE DISPLACEMENT OF A BOREAL PEATLAND USING INSAR SBAS TIME-SERIES TECHNIQUE
Haodong Zhang, Takashi Machimura, The university of osaka, Japan
TU4.R1.5: PLANT DIVERSITY ESTIMATION IN FOREST, GRASSLAND, WETLAND AND CROPLAND ECOSYSTEMS
Yuan Zeng, Zhaoju Zheng, Cong Xu, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Yujin Zhao, Institute of Botany, Chinese Academy of Sciences, China; Ping Zhao, Long Ren, Ying Fu, Shijie Yang, Aerospace Information Research Institute, Chinese Academy of Sciences, China
Contacts