TH3.R13.3

MULTI-PATH FUSION: A HIERARCHICAL MACHINE LEARNING APPROACH FOR COMBINING DIVERSE DATA SETS FOR A FOREST MONITORING NEW OBSERVING SYSTEM

James MacKinnon, David Harding, Mark Moussa, Matthew Brandt, NASA Goddard Space Flight Center, United States; Paul Montesano, ADNET Systems, Inc., United States; Mark Carroll, NASA Goddard Space Flight Center, United States; Randolph Wynne, Valerie Thomas, Virginia Tech, United States; Fred Huemmrich, University of Maryland Baltimore County, United States; Jon Ranson, NASA Goddard Space Flight Center, United States
Session:
TH3.R13: Modern Approaches to Multi-Dimensional Data Fusion Oral
Track:
Community-Contributed Sessions
Location:
Room 105
Presentation Time:
Thu, 20 Jul, 13:24 - 13:36 Pacific Time (UTC -8)
Session Chair:
Johanna Garcia Cardona, University of Southern California
Session Manager:
Rahisha Thottolil
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Discussion
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Session TH3.R13
TH3.R13.1: FOREST5DPLUS: AN OPEN BENCHMARK DATA SET FOR THE ESTIMATION OF FOREST PARAMETERS FROM SENTINEL-1 AND -2 TIME SERIES WITH MACHINE LEARNING METHODS
Sarah Hauser, Andreas Schmitt, Hochschule München University of Applied Sciences, Germany
TH3.R13.2: MULTIMODAL SELF-SUPERVISED LEARNING FOR SEMANTIC ANALYSIS OF POLSAR IMAGERY
Yanxin Dong, TU Berlin, Germany; Ronny Hänsch, German Aerospace Center, Germany
TH3.R13.3: MULTI-PATH FUSION: A HIERARCHICAL MACHINE LEARNING APPROACH FOR COMBINING DIVERSE DATA SETS FOR A FOREST MONITORING NEW OBSERVING SYSTEM
James MacKinnon, David Harding, Mark Moussa, Matthew Brandt, NASA Goddard Space Flight Center, United States; Paul Montesano, ADNET Systems, Inc., United States; Mark Carroll, NASA Goddard Space Flight Center, United States; Randolph Wynne, Valerie Thomas, Virginia Tech, United States; Fred Huemmrich, University of Maryland Baltimore County, United States; Jon Ranson, NASA Goddard Space Flight Center, United States
TH3.R13.4: GRAPH SPARSIFICATION FOR GCN TOWARDS OPTIMAL CROP YIELD PREDICTIONS
Saghar Bagheri, Gene Cheung, York University, Canada; Tim Eadie, Growers Edge, United States
TH3.R13.5: GSP-METHOD FOR IMPROVING SOIL MOISTURE ESTIMATIONS WITH EVAPOTRANSPIRATION DATA: A CASE STUDY FOR HURRICANE ELSA
Johanna Garcia-Cardona, University of Southern California, United States; Wen-Yang Lu, Novamite Corporation, United States; Antonio Ortega, University of Southern California, United States; Nereida Rodriguez-Alvarez, Joan F Munoz-Martin, Jet Propulsion Laboratory/California Institute of Technology, United States
Resources
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