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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TH2.MM-23.9

FLOOD CLASSIFICATION IN A NATURAL WETLAND FOR EARLY SPRING CONDITIONS USING VARIOUS POLARIMETRIC SAR METHODS

Tomasz Berezowski, Monika Gierszewska, Tomasz Bielinski, Gdansk University of Technology, Poland
Session:
Remote Sensing Applications in Inland Waters and Wetlands I
Track:
Land Applications
Presentation Time:
Thu, 15 Jul, 11:40-11:45 (UTC)
Thu, 15 Jul, 13:40-13:45 Central Europe Summer Time (UTC +2)
Thu, 15 Jul, 19:40-19:45 China Standard Time (UTC +8)
Thu, 15 Jul, 07:40-07:45 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Daniel Odermatt, Eawag, Swiss Federal Institute of Aquatic Science and Technology and Joost Vandenabeele, Belgian Science Policy Office
Session Manager:
Areej Alwahas
Presentation
Discussion
Resources
Session TH2.MM-23
TH2.MM-23.1: APPROXIMATING LAKE ICE PHENOLOGY WITH SATELLITE SURFACE TEMPERATURE DATA
Sophia Skoglund, Cary Institute of Ecosystem Studies, United States; Abdou Rachid Bah, City University of New York, Graduate Center, United States; Hamidreza Norouzi, New York City College of Technology, United States; Kathleen Weathers, Cary Institute of Ecosystem Studies, United States; Holly Ewing, Bates College, United States; Bethel Steele, Cary Institute of Ecosystem Studies & Bates College, United States; Linda Bacon, Maine Department of Environmental Protection, United States
TH2.MM-23.2: OPTICAL CLOSURE OF REMOTE SENSING REFLECTANCE USING AUTOMATED HYPERSPECTRAL PROFILER DATA
Abolfazl Irani Rahaghi, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Switzerland; Camille Minaudo, Physics of Aquatic Systems Laboratory, Margaretha Kamprad Chair, EPFL, Switzerland; Alexander Damm, University of Zurich, Switzerland; Daniel Odermatt, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Switzerland
TH2.MM-23.3: MONITORING CHLOROPHYLL-A CONCENTRATION IN NEW JERSEY LAKES USING REMOTE SENSING AND GROUND OBSERVATIONS
Marzi Azarderakhsh, Veronica Hernandez, Jaime Mendoza, Fairleigh Dickinson University, United States
TH2.MM-23.4: RESEARCH ON SURFACE WATER MONITORING OF POYANG LAKE BASED ON REMOTE SENSING TECHNOLOGIES
Ke Liu, Yuhang Gan, Lei Du, Zhengyu Luo, Rui Zhang, Zhengbo Fu, Lina Dong, Ministry of Natural Resources of the People’s Republic of China, China
TH2.MM-23.5: ANALYZING LAKES SURFACE TEMPERATURE VARIABILITY AT THE GLOBAL SCALE
Abdou Rachid Bah, City University of New York, Graduate Center, United States; Christal Jean-Soverall, Patty Arunyavikul, Ryan Chen, Hamidreza Norouzi, Reginald Blake, New York City College of Technology, United States
TH2.MM-23.6: INVERSION EFFECT OF NITROGEN AND PHOSPHORUS IN INLAND WATER UNDER DIFFERENT APPLICATION SCENARIOS
Tianqi Li, Zheng Zhao, Yongzhi Li, Jie Chen, China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, China
TH2.MM-23.7: Monitoring Aquatic Weeds in Indian Wetlands Using Multitemporal Remote Sensing Data with Machine Learning Techniques
Vahid Akbari, Morgan Simpson, Savitri Maharaj, Armando Marino, Deepayan Bhowmik, University of Stirling, United Kingdom; Nagendra Prabhu, University of Kerala, India; Srikanth Rupavatharam, Aviraj Datta, International Crops Research Institute for the Semi-Arid Tropics, India; Adam Kleczkowski, University of Strathclyde, United Kingdom; J. Alice R. P. Sujeetha, National Institute of Plant Health Management, India
TH2.MM-23.8: BEST PRACTICES FOR OPERATIONAL WETLAND CLASSIFICATION USING BIG DATA AND RANDOM FORESTS FAMILY OF CLASSIFIERS
Amir Behnamian, Sarah Banks, Lori White, Environment Canada, Canada; Kathleen Moore, Conservation Planner/Environment Canada, Canada; Erin Roberts, Environment Canada, Canada; Koreen Millard, Assistant Professor/Carleton University, Canada; Ryan Hamilton, Environment Canada, Canada; Deepa Filatow, BC Ministry of Environment and Climate Change Strategy, Canada; Zhaohua Chen, Jon Pasher, Jason Duffe, Environment Canada, Canada
TH2.MM-23.9: FLOOD CLASSIFICATION IN A NATURAL WETLAND FOR EARLY SPRING CONDITIONS USING VARIOUS POLARIMETRIC SAR METHODS
Tomasz Berezowski, Monika Gierszewska, Tomasz Bielinski, Gdansk University of Technology, Poland

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