EP046
Data-Driven Research in the Earth and Planetary Sciences I Posters

Monday, 14 December 2020: 04:00-20:59
Poster
Primary Convener:  Warren T Wood, US Naval Research Laboratory, Geology and Geophysics, Washington, DC, United States
Conveners:  Jens F Klump, CSIRO Earth Science Resource Engineering, Perth, Australia, Emily Law, CalTech JPL, Pasadena, CA, United States and Orhun Aydin, University of Southern California, Los Angeles, CA, United States; ESRI, Redlands, CA, United States
Primary Liaison:  Warren T Wood, Naval Research Laboratory, Stennis Space Ctr, MS, United States
Chairs:  Warren T Wood, Naval Research Laboratory, Stennis Space Ctr, MS, United States and Jens F Klump, CSIRO Earth Science Resource Engineering, Perth, Australia
OSPA Liaison:  Warren T Wood, Naval Research Laboratory, Stennis Space Ctr, MS, United States
 
Physics-aware Nonlinear Modeling and Inference from Earth Data (691597)
Jordi Cortés-Andrés, University of Valencia, Image Processing Laboratory (IPL), Burjassot, Spain, Adrian Perez-Suay, University of Valencia, Valencia, Spain and Gustau Camps-Valls, Image Processing Laboratory, Universitat de València, Paterna, Spain
 
Real-Time Detection of Strombolian Eruptions through Convolution Neural Network Identification in Infrared Images (770633)
Brian Dye, US Environmental Protection Agency, Dallas, TX, United States and Gabriele Morra, University of Louisiana at Lafayette, Department of Physics and School of Geosciences, Lafayette, LA, United States
 
Modeling Mobility Patterns Uncertainty of Twitter Feeds During an Earthquake Using Spatio-Temporal Point Process Models (670492)
Samyuktha Madhusudhan Thumala1 and Orhun Aydin1,2, (1)University of Southern California, Los Angeles, CA, United States, (2)ESRI, Redlands, CA, United States
 
Gaussianization of Earth Observation data - Invertible Transformations for Multidimensional Data Analysis (730739)
J. Emmanuel Johnson1, Maria Piles2, Valero Laparra3 and Gustau Camps-Valls1, (1)Image Processing Laboratory, Universitat de València, Paterna, Spain, (2)Universitat de València, Image Processing Laboratory, València, Spain, (3)University of Valencia, Image Processing Laboratory, Valencia, Spain
 
Modeling VIIRS Brightness Temperature for Improving Nighttime Cloud Detection (741528)
Srija Chakraborty1, Virginia L. Kalb1, Miguel O Roman2, Zhuosen Wang3, Eleanor C Stokes1, Ranjay Man Shrestha3, Ian L Paynter4 and Tomohiro Oda2, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)Universities Space Research Association, Columbia, MD, United States, (3)NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States, (4)University of Massachusetts Boston, Boston, MA, United States
 
Deep learning application to fast estimation of riverine surface velocity (774996)
Mojtaba Forghani1, Yizhou Qian2, Jonghyun Harry Lee3, Matthew Farthing4, Ty Hesser5, Peter K Kitanidis6 and Eric F Darve1, (1)Stanford University, Mechanical Engineering, Stanford, CA, United States, (2)Stanford University, Institute for Computational and Mathematical Engineering, Stanford, CA, United States, (3)University of Hawai‘i at Mānoa, Civil and Environmental Engineering, Honolulu, HI, United States, (4)US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, Vicksburg, MS, United States, (5)U.S. Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, Vicksburg, MS, United States, (6)Stanford University, Department of Civil and Environmental Engineering, Stanford, CA, United States
 
Drill Cuttings Properties Prediction Using Deep Learning (721259)
Leyla Ismailova1, Sergey Safonov1, Egor Tirikov1, Mokhles Mezghani2, Mustafa Al Ibrahim2 and Musleh Al Najrani2, (1)Aramco Research Center – Moscow, Aramco Innovations LLC, Moscow, Russia, (2)Saudi Aramco, Dhahran, Saudi Arabia
See more of: Earth and Planetary Surface Processes
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