2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

My IGARSS 2020 Schedule

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Session Detail

Session Title TH1.R4: Wetlands and Inland Waters I
Presentation Mode Virtual
Session Time Thu, 01 Oct, 12:00 - 14:00 UTC
Thu, 01 Oct, 20:00 - 22:00 China Standard Time (UTC +8)
Thu, 01 Oct, 14:00 - 16:00 Central Europe Time (UTC +2)
Thu, 01 Oct, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
Session ChairsSantosh Panda, University of Alaska Fairbanks and Min Xu, University of Alabama
TH1.R4.1: MAPPING OF SHALLOW-WATER SITES TO AID NAVIGATION ON THE COLVILLE RIVER, NORTH SLOPE OF ALASKA
         Santosh Panda; University of Alaska Fairbanks
         Cole Payne; University of Alabama at Huntsville
         Christopher Smith; University of Alaska Fairbanks
         Anupma Prakash; University of Alaska Fairbanks
         Todd Brinkman; University of Alaska Fairbanks
TH1.R4.2: INSAR COHERENCE FOR MONITORING GROUNDWATER TABLE FLUCTUATIONS IN NORTHERN PEATLANDS
         Tauri Tampuu; University of Tartu
         Jaan Praks; Aalto University
         Ain Kull; University of Tartu
TH1.R4.3: SPLIT-WINDOW BASED FLOOD MAPPING WITH L-BAND ALOS-2 SAR IMAGES: A CASE OF KERALA FLOOD EVENT IN 2018
         Venkata Sai Krishna Vanama; Indian Institute of Technology Bombay
         Sanjay Shitole; Usha Mittal Institute of Technology, SNDT Women's University
         Unmesh Khati; NASA Jet Propulsion Laboratory, California Institute of Technology
         Y. S. Rao; Indian Institute of Technology Bombay
TH1.R4.4: AUTOMATIC EXTRACTION OF FLOOD COVERAGE BASED ON DYNAMIC SURFACE WATER EXTENT AND SAR DATA
         Shujie Chen; Wuhan University
         Wenli Huang; Wuhan University
         Yumin Chen; Wuhan University
TH1.R4.5: METHODOLOGY FOR MAPPING FLOOD EXTENT ON ESTONIAN FLOODPLAINS
         Liis Sipelgas; Tallinn University of Technology
         Age Aavaste; Tallinn University of Technology
         Rivo Uiboupin; Tallinn University of Technology
         Sander Rikka; Tallinn University of Technology
TH1.R4.6: RELIABILITY EVALUATION OF WETLAND SAMPLES BASED ON HISTORICAL THEMATIC MAPS
         Xin Yan; University of Chinese Academy of Sciences
         Zhenguo Niu; Chinese Academy of Sciences
         Yang Li; University of Chinese Academy of Sciences
         Qianqian Han; University of Chinese Academy of Sciences
         Haiying Zhang; Chinese Academy of Sciences
TH1.R4.7: MULTI-PREDICTOR ENSEMBLE MODEL FOR RIVER TURBIDITY ASSESSMENT USING LANDSAT 8 IMAGERY AT A REGIONAL SCALE
         Min Xu; University of Alabama
         Hongxing Liu; University of Alabama
         Yang Liu; University of Alabama
TH1.R4.8: WATER BODY EXTRACTION USING GF-3 POLSAR DATA -- A CASE STUDY IN POYANG LAKE
         Guozhuang Shen; RADI, CAS
         Wenxue Fu; RADI, CAS
TH1.R4.9: MANGROVE MAPPING WITH THE FREEMAN-DURDEN POLARIMETRIC DECOMPOSITION AND INSAR COHERENCE FROM ALOS-2
         Tien-Hao Liao; California Institute of Technology
         Marc Simard; NASA Jet Propulsion Laboratory
         Charlie Marshak; NASA Jet Propulsion Laboratory
         Michael Denbina; NASA Jet Propulsion Laboratory
         Nathan Thomas; Earth System Science Interdisciplinary Center, UMD/NASA GSFC
TH1.R4.10: WATER BALANCE STUDY OF MANCHAR LAKE (SINDH, PAKISTAN) USING LANDSAT AND SENTINEL 3A
         Ramsha Muzaffer; Institute of Space Technology
         Arjumand Zaidi; Mehran University of Engineering and Technology
         Saad ul Haque; Institute of Space Technology
TH1.R4.11: VALIDATION OF SENTINEL 3A ALTIMETRY DATA FOR RIVER LEVEL MONITORING AT TWO LOCATIONS ALONG THE LOWER INDUS RIVER
         Arjumand Zaidi; Mehran University of Engineering and Technology, Pakistan
         Stefano Vignudelli; CNR – Consiglio Nazionale delle Ricerche
         Ramsha Muzzafer; Institute of Space Technology
         Vengus Panhwar; Mehran University of Engineering and Technology
         Sumaira Zafar; Institute of Space Technology
         Saad Haque; Institute of Space Technology
TH1.R4.12: DRAINAGE CANAL DETECTION USING MACHINE LEARNING ALGORITHM IN TROPICAL PEATLANDS
         Haemi Park; Japan Aerospace Exploration Agency
         Daiki Shimizu; University of Tokyo
         Wataru Takeuchi; University of Tokyo