International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

FR2.MM-15: Remote Sensing Applications for Soils and Soil Moisture
Fri, 16 Jul, 11:00 - 12:10 (UTC)
Fri, 16 Jul, 13:00 - 14:10 Central Europe Summer Time (UTC +2)
Fri, 16 Jul, 19:00 - 20:10 China Standard Time (UTC +8)
Fri, 16 Jul, 07:00 - 08:10 Eastern Standard Time (UTC -4)
Session Co-Chairs: Emna Ayari, Université de Carthage, Institut National Agronomique de Tunisie / Centre d'Etudes de la Biosphère (CNES/CNRS/INRAE/IRD/UPS) and Sushant Shekhar, Graphic Era Deemed University
Session Manager: Klara Dvorakova
Track: Land Applications

FR2.MM-15.1: STAND-ALONE RETRIEVALS OF SOIL MOISTURE AND VEGETATION OPACITY USING THE CYGNSS DATA

Qingyun Yan, Shuanggen Jin, Nanjing University of Information Science and Technology, China; Weimin Huang, Memorial University of Newfoundland, Canada; Yan Jia, Nanjing University of Posts and Telecommunications, China

FR2.MM-15.2: SOIL MOISTURE RETRIEVAL USING STACKED GENERALIZATION: AN ENSEMBLE MACHINE LEARNING METHOD

Yuan Cheng, Yuxia Li, University of Electronic Science and Technology of China, China; Huanping Wu, China Meteorological Administration, China; Fan Li, University of Electronic Science and Technology of China, China; Yuzhen Li, ChengDu Software Industry Development Center, China; Lei He, Chengdu University of Information Technology, China

FR2.MM-15.3: SOIL MOISTURE ESTIMATION OVER CEREAL FIELDS BASED ON SAR ALOS-2 DATA

Emna Ayari, Université de Carthage, Institut National Agronomique de Tunisie / Centre d'Etudes de la Biosphère (CNES/CNRS/INRAE/IRD/UPS), Tunisia; Zeineb Kassouk, Zohra Lili Chabaane, Université de Carthage, Institut National Agronomique de Tunisie, Tunisia; Safa Bousbih, Université de Carthage, Institut National Agronomique de Tunisie / Centre d'Etudes de la Biosphère (CNES/CNRS/INRAE/IRD/UPS), Tunisia; Nicolas Baghdadi, University of Montpellier, France; Mehrez Zribi, Centre d'Etudes Spatiales de la Biosphère (CNES/CNRS/INRAE/IRD/UPS), France

FR2.MM-15.4: SMAP VALIDATION EXPERIMENT 2019-2022 (SMAPVEX19-22): DETECTION OF SOIL MOISTURE UNDER TEMPERATE FOREST CANOPY

Andreas Colliander, Jet Propulsion Laboratory, California Institute of Technology, United States; Michael Cosh, USDA, United States; Sidharth Misra, Jet Propulsion Laboratory, California Institute of Technology, United States; Laura Bourgeau-Chavez, Michigan Tech Research Institute, United States; Vicky Kelly, Cary Institute, United States; Paul Siqueira, University of Massachusetts Amherst, United States; Alexandre Roy, University of Quebec at Trois-Rivieres, United States; Tarendra Lakhankar, NOAA Center for Earth System Sciences and Remote Sensing Technologies (CESSRST), United States; Simon Kraatz, University of Massachusetts Amherst, United States; Alexandra Konings, Stanford University, United States; Mehmet Kurum, Mississippi State University, United States; Dara Entekhabi, Massachusetts Institute of Technology, United States; Peggy O'Neill, NASA Goddard Space Flight Center, United States; Simon Yueh, Jet Propulsion Laboratory, California Institute of Technology, United States

FR2.MM-15.5: GLOBAL ESTIMATION OF SURFACE SOIL MOISTURE USING NEURAL NETWORKS TRAINED BY IN-SITU MEASUREMENTS AND PASSIVE L-BAND TELEMETRY

Alireza Mahmoodi, Nemesio Rodríguez-Fernández, Philippe Richaume, Yann Kerr, Cesbio – Centre d'Etudes Spatiales de la Biosphère, France

FR2.MM-15.6: Sensitivity of Multipath Peak Frequency of Navigation with Indian Constellation (NavIC) towards Surface Soil Moisture over Bare Land

Sushant Shekhar, Rishi Prakash, Graphic Era Deemed University, India; Dharmendra Kumar Pandey, ISRO, India; Anurag Vidyarthi, Graphic Era Deemed University, India; Shivani Tyagi, Deepak Putrevu, Arundhati Misra, ISRO, India

FR2.MM-15.7: Soil Moisture Temporal Stability Analysis In Genhe Watershed Observation Network

Xiyao Fang, Lingmei Jiang, Beijing Normal University, China

FR2.MM-15.8: Evaluating Soil Reflectance Composites generated by SCMaP using different Sentinel-2 reflectance data inputs

Uta Heiden, Pablo d'Angelo, Peter Schwind, Raquel de los Reyes, Rupert Mueller, DLR Oberpfaffenhofen, Remote Sensing Technology Institute, Germany