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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TU2.MM-17.6

Feasibility of Estimating Snow Emissivity via Assimilation of Multifrequency Passive Microwave Data

Sayed M. Bateni, University of Hawaii at Manoa, United States; Mahdi Navari, University of Maryland and NASA, United States; Sujay Kumar, National Aeronautics and Space Administration (NASA), United States; Essam Heggy, University of Southern California and California Institute of Technology, United States
Session:
Seasonal Snow I
Track:
Cryosphere
Presentation Time:
Tue, 13 Jul, 11:25-11:30 (UTC)
Tue, 13 Jul, 13:25-13:30 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 19:25-19:30 China Standard Time (UTC +8)
Tue, 13 Jul, 07:25-07:30 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Fraser King, University of Waterloo and Lingmei Jiang, Beijing Normal University
Session Manager:
Vaibhav Rajan
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Session TU2.MM-17
TU2.MM-17.1: A LOW-COST PORTABLE AUTOMATIC SYSTEM FOR SNOW SURFACE ROUGHNESS MEASUREMENTS BASED ON DIGITAL PHOTOGRAPHY.
Riccardo Barella, Eurac Research / Politecnico di Milano, Italy; Carlo Marin, Callegari Mattia, Eurac Research, Italy; Marco Gianinetto, Politecnico di Milano / CNR, Italy; Thomas Moranduzzo, ColomboSky S.r.l., Italy; Claudia Notarnicola, Eurac Research, Italy
TU2.MM-17.2: Estimating cloud-free Fractional snow cover from Himawari-8, FY-4A and MODIS observation
Fangbo Pan, Lingmei Jiang, Beijing Normal University, China; Gongxue Wang, Information Engineering University, China; Xu Su, Xiaonan Zhou, Beijing Normal University, China
TU2.MM-17.3: ESTIMATION AND VALIDATION THE FRACTIONAL SNOW COVER FROM SENTINEL-2 MSI OVER THE TIBET PLATEAU
Xu Su, Lingmei Jiang, Beijing Normal University, China; Gongxue Wang, Information Engineering University, China
TU2.MM-17.4: Evaluation of gridded Snow Water Equivalent products using CloudSat-CPR snowfall estimates
Fraser King, Christopher Fletcher, University of Waterloo, Canada
TU2.MM-17.5: PREDICTION OF SNOW DEPTH BASED ON MULTI-SOURCE DATA AND MACHINE LEARNING ALGORITHMS
Dejing Qiao, College of Surveying and Geo-Informatics, North China University of Water Resources and Electric Power, China; Zhen Li, Ping Zhang, Jianmin Zhou, Shuang Liang, Aerospace Information Reasearch Institute, Chinese Academy of Sciences, China
TU2.MM-17.6: Feasibility of Estimating Snow Emissivity via Assimilation of Multifrequency Passive Microwave Data
Sayed M. Bateni, University of Hawaii at Manoa, United States; Mahdi Navari, University of Maryland and NASA, United States; Sujay Kumar, National Aeronautics and Space Administration (NASA), United States; Essam Heggy, University of Southern California and California Institute of Technology, United States
TU2.MM-17.7: Spatial and temporal variability of wet snow in the French mountains using a color-space based segmentation technique on Sentinel-1 SAR images
Fatima Karbou, CNRM/CEN, France; Philippe Durand, CNES, France; Isabelle Gouttevin, CNRM/CEN, France
TU2.MM-17.8: COMBINED USE OF OPTICAL AND SAR DATA FOR THERMOKARST TERRAIN: A CASE STDUY IN CENTRAL YAKUTIA
Yoon Taek Jung, Yeji Lee, Minhwa Kim, Sang-Eun Park, Sejong University, Korea (South)
TU2.MM-17.9: EVALUATION AND COMPARISON OF SNOW REFLECTANCE MODELS
Gongxue Wang, Information Engineering University, China; Lingmei Jiang, Beijing Normal University, China; Yongsheng Zhang, Information Engineering University, China
TU2.MM-17.10: THE RELATIONSHIP OF SAMPLING DISTRIBUTION AND BRDF IN DIFFERENT WAVELENGTH FOR SNOW SURFACE
Jing Guo, Ziti Jiao, Xiaoning Zhang, Lei Cui, Siyang Yin, Rui Xie, Sijie Li, Zidong Zhu, Yidong Tong, Beijing Normal University, China

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