MO2.R9.10

CHARACTERIZATION OF ALPINE SNOWPACKS USING A LOW COMPLEXITY PORTABLE MIMO RADAR SYSTEM

Lekhmissi Harkati, Ray Abdo, Stephane Avrillon, Laurent Ferro-Famil, IETR/University of Rennes 1, France; Isabelle Gouttevin, Yannick Deliot, Hugo Merzisen, Pascal Salze, Franck Delbert, Philipe Lapalus, Yves Lejeune, Erwan Le Gac, Hervé Bellot, Xavier Ravana, Fatima Karbou, Météo-France/CNRS, France

Session:
RS of Snow and Frozen Ground

Track:
Cryosphere

Presentation Time:
Mon, 28 Sep, 16:00-16:10 (UTC)
Tue, 29 Sep, 00:00-00:10 China Standard Time (UTC +8)
Mon, 28 Sep, 18:00-18:10 Central Europe Summer Time (UTC +2)
Mon, 28 Sep, 09:00-09:10 Pacific Daylight Time (UTC -7)

Session Co-Chairs:
Jiancheng Shi, State Key Laboratory for Remote Sensing Science and Lingmei Jiang, Beijing Normal University
Session Managers:
Cecilia Verónica Campos Cerón and Durga Nanda Yadav

Presentation

Discussion

Resources

Session

MO2.R9.1: SNOW SIZE DISTRIBUTION AND AGGREGATION MODELING BASED ON THE BICONTINUOUS MODEL
Jiyue Zhu, Leung Tsang, Haoran Shen, University of Michigan, United States; Xiaolan Xu, NASA Jet Propulsion Laboratory, United States
MO2.R9.2: SNOW GRAIN SIZE ESTIMATES FROM AIRBORNE KA-BAND RADAR MEASUREMENTS
Jilu Li, Bruno Camps-Raga, Fernando Rodriguez-Morales, Daniel Gomez-Garcia, John Paden, Carl Leuschen, University of Kansas, United States
MO2.R9.3: VALIDATION OF THE COMBINED ACTIVE AND PASSIVE MICROWAVE SNOW RETRIEVAL ALGORITHM USING ESA SNOWSAR APPLIED TO CANADA AND US
Dohyuk Kang, University of Maryland, United States; Jiyue Zhu, University of Michigan, United States; Edward Kim, NASA Goddard Space Flight Center, United States; Leung Tsang, University of Michigan, United States
MO2.R9.4: MULTI-FREQUENCY SAR IMAGES FOR SWE RETRIEVAL IN ALPINE AREAS THROUGH MACHINE LEARNING APPROACHES
Simone Pettinato, Simonetta Paloscia, Emanuele Santi, Enrico Palchetti, CNR-IFAC, Italy; Ludovica De Gregorio, Claudia Notarnicola, Giovanni Cuozzo, Carlo Marin, EURAC, Italy; Francesca Cigna, Deodato Tapete, ASI-Agenzia Spaziale Italiana, Italy
MO2.R9.5: AIRBORNE DUAL-BAND MICROWAVE RADAR SYSTEM FOR SNOW THICKNESS MEASUREMENT
Drew Taylor, Stephen Yan, Charles O'Neill, Prasad Gogineni, Sevgi Gurbuz, Barbaros Aslan, Jordan Larson, Deepak Elluru, Shriniwas Kolpuke, Linfeng Li, Farin Mahjabeen, Josh Nunn, Mahbubur Rahman, Omid Reyhani, Christopher D. Simpson, Ryan Thomas, Shashank Wattal, Jonathan Blake, Carter Boyle, John Glidden, MacKenzie Higgs, University of Alabama, United States
MO2.R9.6: ASSESSING THE PERFORMANCES OF FY-3D/MWRI AND DMSP SSMIS IN GLOBSNOW-2 ASSIMILATION SYSTEM FOR SWE ESTIMATION
Jianwei Yang, Lingmei Jiang, Beijing Normal University, China; Kari Luojus, Juha Lemmetyinen, Matias Takala, Finnish Meteorological Institute, Finland
MO2.R9.7: DIAGNOSTIC ANALYSIS OF A DATA ASSIMILATION FRAMEWORK FOR IMPROVING SNOW MASS ESTIMATION IN COMPLEX TERRAIN
Jawairia Ahmad, Barton Forman, University of Maryland, United States
MO2.R9.8: THE VALIDATION OF SNOW COVER PRODUCT OVER HIGH MOUNTAIN ASIA
Xu Su, Lingmei Jiang, Gongxue Wang, Jian Wang, Beijing Normal University, China
MO2.R9.9: OBSERVING SYSTEM SIMULATION EXPERIMENT FOR REMOTE SENSING OF SNOW AT P-BAND
Xiaolan Xu, Rashmi Shah, Simon Yueh, NASA Jet Propulsion Laboratory, United States; Steve Margulis, University of California, Los Angeles, United States
MO2.R9.10: CHARACTERIZATION OF ALPINE SNOWPACKS USING A LOW COMPLEXITY PORTABLE MIMO RADAR SYSTEM
Lekhmissi Harkati, Ray Abdo, Stephane Avrillon, Laurent Ferro-Famil, IETR/University of Rennes 1, France; Isabelle Gouttevin, Yannick Deliot, Hugo Merzisen, Pascal Salze, Franck Delbert, Philipe Lapalus, Yves Lejeune, Erwan Le Gac, Hervé Bellot, Xavier Ravana, Fatima Karbou, Météo-France/CNRS, France
MO2.R9.11: ESTIMATING EFFECTIVE SNOW GRAIN SIZE USING NORMALIZED CHANNEL RATIOS OF MODIS 0.86 AND 1.64 MICRON BANDS
Gang Hong, Science Systems and Applications, Inc., United States; William Smith Jr., NASA Langley Research Center, United States; Sunny Sun-Mack, Patrick Minnis, Yan Chen, Science Systems and Applications, Inc., United States
MO2.R9.12: SNOW RADAR LAYER TRACKING USING ITERATIVE NEURAL NETWORK APPROACH
Oluwanisola Ibikunle, CReSIS / University of Kansas, United States; John Paden, Center for Remote Sensing Ice Sheet, United States; Maryam Rahnemoonfar, University of Maryland, Baltimore County, Maryland, United States; David Crandall, Indiana University School of Informatics, United States; Masoud Yari, Texas A&M University-Corpus Christi, United States