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Workshop: AI for Earth Sciences

Karthik Mukkavilli, Johanna Hansen, Natasha Dudek, Tom Beucler, Kelly Kochanski, Mayur Mudigonda, Karthik Kashinath, Amy McGovern, Paul D Miller, Chad Frischmann, Pierre Gentine, Gregory Dudek, Aaron Courville, Daniel Kammen, Vipin Kumar

2020-12-12T06:45:00-08:00 - 2020-12-12T21:00:00-08:00
Abstract: Our workshop proposal AI for Earth sciences seeks to bring cutting edge geoscientific and planetary challenges to the fore for the machine learning and deep learning communities. We seek machine learning interest from major areas encompassed by Earth sciences which include, atmospheric physics, hydrologic sciences, cryosphere science, oceanography, geology, planetary sciences, space weather, volcanism, seismology, geo-health (i.e. water, land, air pollution, environmental epidemics), biosphere, and biogeosciences. We also seek interest in AI applied to energy for renewable energy meteorology, thermodynamics and heat transfer problems. We call for papers demonstrating novel machine learning techniques in remote sensing for meteorology and geosciences, generative Earth system modeling, and transfer learning from geophysics and numerical simulations and uncertainty in Earth science learning representations. We also seek theoretical developments in interpretable machine learning in meteorology and geoscientific models, hybrid models with Earth science knowledge guided machine learning, representation learning from graphs and manifolds in spatiotemporal models and dimensionality reduction in Earth sciences. In addition, we seek Earth science applications from vision, robotics, multi-agent systems and reinforcement learning. New labelled benchmark datasets and generative visualizations of the Earth are also of particular interest. A new area of interest is in integrated assessment models and human-centered AI for Earth.

AI4Earth Areas of Interest:
- Atmospheric Science
- Hydro and Cryospheres
- Solid Earth
- Theoretical Advances
- Remote Sensing
- Energy in the Earth system
- Extreme weather & climate
- Geo-health
- Biosphere & Biogeosciences
- Planetary sciences
- Benchmark datasets
- People-Earth


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2020-12-12T06:45:00-08:00 - 2020-12-12T06:55:00-08:00
Introduction and opening remarks
Karthik Mukkavilli
2020-12-12T06:55:00-08:00 - 2020-12-12T06:58:00-08:00
Sensors and Sampling
Johanna Hansen
2020-12-12T06:58:00-08:00 - 2020-12-12T07:22:00-08:00
Yogesh Girdhar - Enabling Vision Guided Interactive Exploration in Bandwidth Limited Environments
Yogesh A Girdhar
2020-12-12T07:22:00-08:00 - 2020-12-12T07:35:00-08:00
Eyes in the sky without boots on the ground: Using satellites and machine learning to monitor agriculture and food security during COVID-19
Hannah Kerner
2020-12-12T07:35:00-08:00 - 2020-12-12T07:58:00-08:00
Autonomous Robot Manipulation for Planetary Science: Mars Sample Return, Climbing Lava Tubes
Renaud Detry
2020-12-12T07:58:00-08:00 - 2020-12-12T08:06:00-08:00
DeepFish: A realistic fish‑habitat dataset to evaluate algorithms for underwater visual analysis
Alzayat Saleh, Issam Hadj Laradji, David Vázquez
2020-12-12T08:06:00-08:00 - 2020-12-12T08:20:00-08:00
Automatic three‐dimensional mapping for tree diameter measurements in inventory operations
Jean-François Tremblay
2020-12-12T08:20:00-08:00 - 2020-12-12T08:55:00-08:00
Q/A and Discussion for Sensing & Sampling Session
Johanna Hansen, Yogesh A Girdhar, Hannah Kerner, Renaud Detry
2020-12-12T08:55:00-08:00 - 2020-12-12T09:00:00-08:00
Natasha Dudek
2020-12-12T09:00:00-08:00 - 2020-12-12T09:25:00-08:00
Dan Morris
D. Morris
2020-12-12T09:25:00-08:00 - 2020-12-12T09:55:00-08:00
Giulio De Leo
Giulio De Leo
2020-12-12T09:55:00-08:00 - 2020-12-12T10:05:00-08:00
Graph Learning for Inverse Landscape Genetics
Prathamesh Dharangutte
2020-12-12T10:05:00-08:00 - 2020-12-12T10:15:00-08:00
Segmentation of Soil Degradation Sites in Swiss Alpine Grasslands with Deep Learning
Maxim Samarin
2020-12-12T10:15:00-08:00 - 2020-12-12T10:20:00-08:00
Novel application of Convolutional Neural Networks for the meta-modeling of large-scale spatial data
Kiri A. Stern
2020-12-12T10:20:00-08:00 - 2020-12-12T10:25:00-08:00
Understanding Climate Impacts on Vegetation with Gaussian Processes in Granger Causality
Miguel Morata Dolz
2020-12-12T10:25:00-08:00 - 2020-12-12T10:30:00-08:00
Interpreting the Impact of Weather on Crop Yield Using Attention
Tryambak Gangopadhyay
2020-12-12T10:30:00-08:00 - 2020-12-12T10:55:00-08:00
Q/A and Discussion for Ecology Session
Natasha Dudek, D. Morris, Giulio De Leo
2020-12-12T10:55:00-08:00 - 2020-12-12T11:00:00-08:00
Karthik Mukkavilli
2020-12-12T11:00:00-08:00 - 2020-12-12T11:25:00-08:00
Pierre Gentine
Pierre Gentine
2020-12-12T11:25:00-08:00 - 2020-12-12T11:40:00-08:00
A Machine Learner's Guide to Streamflow Prediction
Martin Gauch
2020-12-12T11:40:00-08:00 - 2020-12-12T11:55:00-08:00
A Deep Learning Architecture for Conservative Dynamical Systems: Application to Rainfall-Runoff Modeling
Grey Nearing
2020-12-12T11:55:00-08:00 - 2020-12-12T12:10:00-08:00
Dynamic Hydrology Maps from Satellite-LiDAR Fusion
Gonzalo Mateo-García
2020-12-12T12:10:00-08:00 - 2020-12-12T12:20:00-08:00
Efficient Reservoir Management through Deep Reinforcement Learning
Xinrun Wang
2020-12-12T12:20:00-08:00 - 2020-12-12T12:45:00-08:00
Q/A and Discussion for Water Session
Karthik Mukkavilli, Pierre Gentine, Grey Nearing
2020-12-12T12:45:00-08:00 - 2020-12-12T13:15:00-08:00
Milind Tambe
Milind Tambe
2020-12-12T13:15:00-08:00 - 2020-12-12T13:25:00-08:00
Q/A and Discussion
Karthik Mukkavilli, Mayur Mudigonda, Milind Tambe
2020-12-12T13:25:00-08:00 - 2020-12-12T13:30:00-08:00
Tom Beucler
2020-12-12T13:30:00-08:00 - 2020-12-12T13:55:00-08:00
Michael Pritchard
Mike Pritchard
2020-12-12T13:55:00-08:00 - 2020-12-12T14:20:00-08:00
Elizabeth Barnes
Elizabeth A. Barnes
2020-12-12T14:20:00-08:00 - 2020-12-12T14:35:00-08:00
Spatio-temporal segmentation and tracking of weather patterns with light-weight Neural Networks
Lukas Kapp-Schwoerer
2020-12-12T14:35:00-08:00 - 2020-12-12T14:50:00-08:00
Leveraging Lightning with Convolutional Recurrent AutoEncoder and ROCKET for Severe Weather Detection
Nadia Ahmed
2020-12-12T14:50:00-08:00 - 2020-12-12T14:55:00-08:00
Towards Data-Driven Physics-Informed Global Precipitation Forecasting from Satellite Imagery
Valentina Zantedeschi, Valentina Zantedeschi
2020-12-12T14:55:00-08:00 - 2020-12-12T15:25:00-08:00
Q/A and Discussion for Atmosphere Session
Tom Beucler, Mike Pritchard, Elizabeth A. Barnes
2020-12-12T15:25:00-08:00 - 2020-12-12T15:30:00-08:00
Simulations, Physics-guided, and ML Theory
Karthik Kashinath
2020-12-12T15:30:00-08:00 - 2020-12-12T15:55:00-08:00
Stephan Mandt
Stephan Mandt
2020-12-12T15:55:00-08:00 - 2020-12-12T16:20:00-08:00
Rose Yu
Rose Yu
2020-12-12T16:20:00-08:00 - 2020-12-12T16:30:00-08:00
Generating Synthetic Multispectral Satellite Imagery from Sentinel-2
Hamed Alemohammad
2020-12-12T16:30:00-08:00 - 2020-12-12T16:40:00-08:00
Multiresolution Tensor Learning for Efficient and Interpretable Spatiotemporal Analysis
Raechel Walker
2020-12-12T16:40:00-08:00 - 2020-12-12T16:50:00-08:00
Climate-StyleGAN : Modeling Turbulent ClimateDynamics Using Style-GAN
Rishabh Gupta
2020-12-12T16:50:00-08:00 - 2020-12-12T16:55:00-08:00
Interpretable Deep Generative Spatio-Temporal Point Processes
Shixiang Zhu
2020-12-12T16:55:00-08:00 - 2020-12-12T17:00:00-08:00
Completing physics-based model by learning hidden dynamics through data assimilation
Arthur Filoche
2020-12-12T17:00:00-08:00 - 2020-12-12T17:20:00-08:00
Q/A and Discussion for ML Theory Session
Karthik Kashinath, Mayur Mudigonda, Stephan Mandt, Rose Yu
2020-12-12T17:20:00-08:00 - 2020-12-12T17:25:00-08:00
Mayur Mudigonda
2020-12-12T17:25:00-08:00 - 2020-12-12T18:00:00-08:00
Q/A and Panel Discussion for People-Earth with Dan Kammen and Milind Tambe
Mayur Mudigonda, Daniel Kammen, Milind Tambe
2020-12-12T18:00:00-08:00 - 2020-12-12T18:05:00-08:00
Solid Earth
Kelly Kochanski
2020-12-12T18:05:00-08:00 - 2020-12-12T18:20:00-08:00
Soft Attention Convolutional Neural Networks for Rare Event Detection in Sequences
Mandar Kulkarni
2020-12-12T18:20:00-08:00 - 2020-12-12T18:30:00-08:00
An End-to-End Earthquake Monitoring Method for Joint Earthquake Detection and Association using Deep Learning
Weiqiang Zhu
2020-12-12T18:30:00-08:00 - 2020-12-12T18:40:00-08:00
Single-Station Earthquake Location Using Deep Neural Networks
Charles Mousavi
2020-12-12T18:40:00-08:00 - 2020-12-12T18:45:00-08:00
Framework for automatic globally optimal well log correlation
Oleh Datskiv
2020-12-12T18:45:00-08:00 - 2020-12-12T19:00:00-08:00
Q/A and Discussion for Solid Earth
Kelly Kochanski
2020-12-12T19:00:00-08:00 - 2020-12-12T19:05:00-08:00
Benchmark Datasets
Karthik Kashinath
2020-12-12T19:05:00-08:00 - 2020-12-12T19:30:00-08:00
Stephan Rasp
Stephan Rasp
2020-12-12T19:30:00-08:00 - 2020-12-12T19:45:00-08:00
RainBench: Enabling Data-Driven Precipitation Forecasting on a Global Scale
Catherine Tong
2020-12-12T19:45:00-08:00 - 2020-12-12T20:00:00-08:00
WildfireDB: A Spatio-Temporal Dataset Combining Wildfire Occurrence with Relevant Covariates
Samriddhi Singla, Tina Diao
2020-12-12T20:00:00-08:00 - 2020-12-12T20:10:00-08:00
LandCoverNet: A global benchmark land cover classification training dataset
Hamed Alemohammad
2020-12-12T20:10:00-08:00 - 2020-12-12T20:20:00-08:00
Applying Machine Learning to Crowd-sourced Data from Earthquake Detective
Omkar Ranadive
2020-12-12T20:20:00-08:00 - 2020-12-12T20:25:00-08:00
An Active Learning Pipeline to Detect Hurricane Washover in Post-Storm Aerial Images
Evan Goldstein
2020-12-12T20:25:00-08:00 - 2020-12-12T20:30:00-08:00
Developing High Quality Training Samples for Deep Learning Based Local Climate Classification in Korea
Minho Kim
2020-12-12T20:30:00-08:00 - 2020-12-12T20:55:00-08:00
Q/A and Discussion for Benchmark Datasets
Karthik Kashinath
2020-12-12T20:55:00-08:00 - 2020-12-12T20:55:00-08:00
Karthik Mukkavilli
2020-12-12T20:55:00-08:00 - 2020-12-12T21:00:00-08:00
Workshop Closing Remarks
Karthik Mukkavilli
2020-12-12T21:00:00-08:00 - 2020-12-12T21:00:00-08:00
Predicting Streamflow By Using BiLSTM with Attention from heterogeneous spatiotemporal remote sensing products
Udit Bhatia - IITGN
2020-12-12T21:00:00-08:00 - 2020-12-12T21:00:00-08:00
Spectral Unmixing With Multinomial Mixture Kernel and Wasserstein Generative Adversarial Loss
Savas Ozkan
2020-12-12T21:00:00-08:00 - 2020-12-12T21:00:00-08:00
Unsupervised Regionalization of Particle-resolved Aerosol Mixing State Indices on the Global Scale
Zhonghua Zheng
2020-12-12T21:00:00-08:00 - 2020-12-12T21:00:00-08:00
Bias correction of global climate model using machine learning algorithms to determine meteorological variables in different tropical climates of Indonesia
Juan Nathaniel
2020-12-12T21:00:00-08:00 - 2020-12-12T21:00:00-08:00
A Comparison of Data-Driven Models for Predicting Stream Water Temperature
Helen Weierbach
2020-12-12T21:00:00-08:00 - 2020-12-12T21:00:00-08:00
MonarchNet: Differentiating Monarch Butterflies from Those with Similar Appearances
Thomas Chen
2020-12-12T21:00:00-08:00 - 2020-12-12T21:00:00-08:00
Nowcasting Solar Irradiance Over Oahu
Peter Sadowski
2020-12-12T21:00:00-08:00 - 2020-12-12T21:00:00-08:00
Integrating data assimilation with structurally equivariant spatial transformers: Physically consistent data-driven models for weather forecasting
Ashesh Chattopadhyay
2020-12-12T21:00:00-08:00 - 2020-12-12T21:00:00-08:00
Interpretability in Convolutional Neural Networks for Building Damage Classification in Satellite Imagery
Thomas Chen
2020-12-12T21:00:00-08:00 - 2020-12-12T21:00:00-08:00
Semantic Segmentation of Medium-Resolution Satellite Imagery using Conditional Generative Adversarial Networks
Hamed Alemohammad
2020-12-12T21:00:00-08:00 - 2020-12-12T21:00:00-08:00
Towards Automated Satellite Conjunction Management with Bayesian Deep Learning
Francesco Pinto
2020-12-12T21:00:00-08:00 - 2020-12-12T21:00:00-08:00
Optimising Placement of Pollution Sensors in Windy Environments
Sigrid Passano Hellan
2020-12-12T21:00:00-08:00 - 2020-12-12T21:00:00-08:00
Temporally Weighting Machine Learning Models for High-Impact Severe Hail Prediction
Amanda Burke
2020-12-12T21:00:00-08:00 - 2020-12-12T21:00:00-08:00
Inductive Predictions of Extreme Hydrologic Events in The Wabash River Watershed
Nicholas Majeske
2020-12-12T21:00:00-08:00 - 2020-12-12T21:00:00-08:00
Domain Adaptive Shake-shake Residual Network for Corn Disease Recognition
Yuan Fang