TU4.R1.3
MONITORING LONG-TERM SEASNOAL DEGRADATION IN WESTERN AUSTRALIAN WETLANDS USING REMOTE SENSING AND DEEP LEARNING
Fawziah Almutairi, Ashraf Dewan, Todd Robinson, Curtin University
Session:
TU4.R1: Wetland Mapping and Monitoring Using Remote Sensing Oral
Track:
Community Contributed Themes
Location:
Morgan
Presentation Time:
Tuesday, 11 August, 16:45 - 17:00
Session Co-Chairs:
Genyun Sun, China University of Petroleum (East China) and Huiying Li, Qingdao University of Technology and Wenjiao Shi, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
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; Jesus Rueda-Becerril, Jesse Anderson, TealWaters; Anthony Ortiz, Allen Kim, Microsoft; Dan Miller, Meghan Halabisky, TealWaters
TU4.R1.2: Region Consistent Hypergraph-Regularised Learning for Coastal Wetland Hyperspectral Mapping under Noisy Annotations
Derrick Effah, Griffith University; Ali Zia, LaTrobe University; Mohammad Awrangjeb, Yongsheng Gao, Griffith University; ,
TU4.R1.3: MONITORING LONG-TERM SEASNOAL DEGRADATION IN WESTERN AUSTRALIAN WETLANDS USING REMOTE SENSING AND DEEP LEARNING
Fawziah Almutairi, Ashraf Dewan, Todd Robinson, Curtin University
TU4.R1.4: MONITORING SURFACE DISPLACEMENT OF A BOREAL PEATLAND USING INSAR SBAS TIME-SERIES TECHNIQUE
Haodong Zhang, Takashi Machimura, The university of osaka
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; Yujin Zhao, Institute of Botany, Chinese Academy of Sciences; Ping Zhao, Long Ren, Ying Fu, Shijie Yang, Aerospace Information Research Institute, Chinese Academy of Sciences
Resources
No resources available.