IN011
End-to-End Machine Learning for Earth Science: Tools, Frameworks, and Practical Applications II eLightning

Tuesday, 8 December 2020: 19:00-20:00
Virtual
Primary Convener:  Aaron S Kaulfus, University of Alabama in Huntsville, Huntsville, AL, United States
Conveners:  Iksha Gurung, University of Alabama in Huntsville, Huntsville, AL, United States and Zhuangfang Yi, Development Seed, Washington DC, DC, United States
Primary Liaison:  Aaron S Kaulfus, University of Alabama in Huntsville, Huntsville, AL, United States
Chairs:  Aaron S Kaulfus1, Iksha Gurung1 and Zhuangfang Yi2, (1)University of Alabama in Huntsville, Huntsville, AL, United States(2)Development Seed, Washington DC, DC, United States
OSPA Liaison:  Aaron S Kaulfus, University of Alabama in Huntsville, Huntsville, AL, United States
19:00
IN011-01
SeasonalBench: A statistical seasonal forecasting benchmark (742936)
Maximilian cody Evans1, Ankur Mahesh2, Ali Ahmadalipour2, Stephan c Rasp3 and Edgar Rojas4, (1)ClimateAi, San Francisco, United States, (2)ClimateAI, San Francisco, CA, United States, (3)ClimateAI, SAN Francisco, CA, United States, (4)ClimateAI, San Francisco, United States
19:03
IN011-02
Geoweaver: Connecting Dots for Artificial Intelligence in Geoscience (665357)
Ziheng Sun, George Mason University Fairfax, Center for Spatial Information Science and Systems, Fairfax, VA, United States, Liping Di, George Mason University, Fairfax, VA, United States, Jason Tullis, University of Arkansas, Fayetteville, AR, United States, Annie Bryant Burgess, University of Southern California, Computer Science, Los Angeles, CA, United States and Andrew Magill, Texas Advanced Computing Center, Austin, TX, United States
19:06
IN011-03
Hyperclass: A Framework for Graph-Based Semi-Supervised Classification of Hyperspectral Imagery (669763)
Thomas Patrick Maxwell and Mark Carroll, NASA Goddard Space Flight Center, Greenbelt, MD, United States
19:09
IN011-04
Deep Learning Algorithms to Detect and Remove Sun Glint from High-Resolution Aerial Imagery (718350)
Anna Giles1, James Edward Davies2, Keven Ren2 and Brendan Kelaher3, (1)Southern Cross Univerisity, Lismore, NSW, Australia, (2)University of Melbourne, Parkville, Australia, (3)Southern Cross Univerisity, Lismore, Australia
19:12
IN011-05
Automated Contrail Detection on Terra MODIS Imagery (705634)
Ankur Shah1, Hassan Muhammad1, Iksha Gurung1, Manil Maskey1 and Rahul Ramachandran2, (1)University of Alabama in Huntsville, Huntsville, AL, United States, (2)NASA Marshall Space Flight Center, Huntsville, AL, United States
19:15
IN011-06
Application of machine-learning methods for estimating growth of boreal forest in the Mackenzie River Valley (732630)
Jian Li1,2, Christopher S R Neigh3, Joseph O Sexton4 and Mark Carroll2, (1)ASRC Federal InuTeq, Beltsville, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD, United States, (4)terraPulse, Inc., Gaithersburg, MD, United States
19:18
IN011-07
A surrogate modeling strategy to learn ecosystem control points (706684)
Karl Bernard Bernard Schaettle1, Elijah Hoffman2, Nicola Falco3, Baptiste Dafflon3, Craig Ulrich4, Karina Nugent4, Jay McEntire5, Haruko M Wainwright3 and James Bentley Brown3,6, (1)University of California Berkeley, Departments of Chemistry, Bioengineering, Chemical and Biomolecular Engineering, Berkeley, CA, United States, (2)Lawrence Berkeley National Laboratory, Berkeley, United States, (3)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (4)Lawrence Berkeley National Laboratory, Earth and Environmental Sciences, Berkeley, CA, United States, (5)ARVA Intelligence, Salt Lake City, UT, United States, (6)University of California Berkeley, Berkeley, CA, United States
19:21
IN011-08
Crop Stage Estimation: A Multi-Satellite Historical Model and a Scalable Neural Network Forecaster (682854)
Nicholas Padmanabhan1, Ankur Mahesh1, Arjun Sripathy2, Adi Sujithkumar2, Austin Sun2, Charlie Snell2, McClain Thiel2 and Maximilian Cody Evans1, (1)ClimateAI, San Francisco, CA, United States, (2)Machine Learning at Berkeley, Berkeley, CA, United States
19:24
IN011-09
Remote sensing & Statistical learning approach to Harmful Algal Bloom Forecasting Using MODIS Ocean colour parameters (702127)
Moein Izadi1, Mohamed Sultan1, Racha Elkadiri2, Mohammad Amin Ghannadi3, Zahir Nikraftar4 and Foad Namjoo5, (1)Western Michigan University, Department of Geological and Environmental Sciences, Kalamazoo, MI, United States, (2)Middle Tennessee State University, Murfreesboro, TN, United States, (3)Arak University of Technology, Department of Surveying Engineering, Arak, Iran, (4)University of Tehran, Surveying and Geospatial Engineering, Tehran, Iran, (5)University of Tehran, Algorithms and Computation, Tehran, Iran
19:27
IN011-10
Global Surface Water Detection using Sentinel-1 Observations (773343)
Brookie P Guzder-Williams, World Resources Institute, San Francisco, CA, United States and Hamed Alemohammad, Radiant Earth Foundation, Washington DC, United States
19:30
IN011-11
Applying Statistical and Machine Learning Methods to the Zircon Trace Elements Dataset: Implications for Detrital Provenance Studies (740492)
Ian Szumila and Dustin Trail, University of Rochester, Earth and Environmental Sciences, Rochester, NY, United States
19:33
IN011-12
Capturing Uncertainty And Preserving Geological Realism with Attentive Neural Processes for Subsurface Property Modeling (661343)
Anatoly Aseev1,2 and Suhas Sursha2, (1)Stanford University, Geological Sciences, Palo Alto, United States, (2)Schlumberger Software Technology Innovation Center, Menlo Park, United States
19:36
IN011-13
Multi-phase Segmentation of Digital Rock Images Using Convolution Neural Network: Training Dataset Generation, Model Training and Result Visualization (667827)
Hongsheng Wang, Virginia Tech, Blacksburg, VA, United States, Dustin Crandall, National Energy Technology Laboratory Pittsburgh, Pittsburgh, PA, United States, Laura Dalton, National Energy Technology Laboratory, Morgantown, United States and Cheng Chen, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States
19:39
Discussion
See more of: Earth and Space Science Informatics
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