Workshop
AI for Earth Sciences
Surya 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
Sat 12 Dec, 6:45 a.m. PST
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
Schedule
Sat 6:00 a.m. -
|
Link to Gather.Town for Casual Conversation link | 🔗 |
Sat 6:45 a.m. - 6:55 a.m.
|
Introduction and opening remarks
(
Introduction
)
>
|
Surya Karthik Mukkavilli 🔗 |
Sat 6:55 a.m. - 6:58 a.m.
|
Sensors and Sampling
(
Session Introduction
)
>
SlidesLive Video |
Johanna Hansen 🔗 |
Sat 6:58 a.m. - 7:22 a.m.
|
Yogesh Girdhar - Enabling Vision Guided Interactive Exploration in Bandwidth Limited Environments
(
Sensing and Sampling - Session Keynote
)
>
link
SlidesLive Video |
Yogesh A Girdhar 🔗 |
Sat 7:22 a.m. - 7:35 a.m.
|
Eyes in the sky without boots on the ground: Using satellites and machine learning to monitor agriculture and food security during COVID-19
(
Sensors and Sampling - Invited Talk
)
>
link
SlidesLive Video |
Hannah Kerner 🔗 |
Sat 7:35 a.m. - 7:58 a.m.
|
Autonomous Robot Manipulation for Planetary Science: Mars Sample Return, Climbing Lava Tubes
(
Sensing and Sampling - Invited Talk
)
>
link
SlidesLive Video |
Renaud Detry 🔗 |
Sat 7:58 a.m. - 8:06 a.m.
|
DeepFish: A realistic fish‑habitat dataset to evaluate algorithms for underwater visual analysis
(
Sensors and Sampling - Invited Talk
)
>
link
SlidesLive Video |
Alzayat Saleh · Issam Hadj Laradji · David Vázquez 🔗 |
Sat 8:06 a.m. - 8:20 a.m.
|
Automatic three‐dimensional mapping for tree diameter measurements in inventory operations
(
Sensors and Sampling - Invited Talk
)
>
link
SlidesLive Video |
Jean-François Tremblay 🔗 |
Sat 8:20 a.m. - 8:55 a.m.
|
Q/A and Discussion for Sensing & Sampling Session
(
Q/A and Discussion
)
>
|
Johanna Hansen · Yogesh A Girdhar · Hannah Kerner · Renaud Detry 🔗 |
Sat 8:55 a.m. - 9:00 a.m.
|
Ecology
(
Session Introduction
)
>
SlidesLive Video |
Natasha Dudek 🔗 |
Sat 9:00 a.m. - 9:25 a.m.
|
Dan Morris
(
Keynote
)
>
link
SlidesLive Video |
Dan Morris 🔗 |
Sat 9:25 a.m. - 9:55 a.m.
|
Giulio De Leo
(
Ecology - Session Keynote
)
>
link
SlidesLive Video |
Giulio De Leo 🔗 |
Sat 9:55 a.m. - 10:05 a.m.
|
Graph Learning for Inverse Landscape Genetics
(
Regular Talk - Ecology Session
)
>
SlidesLive Video |
Prathamesh Dharangutte 🔗 |
Sat 10:05 a.m. - 10:15 a.m.
|
Segmentation of Soil Degradation Sites in Swiss Alpine Grasslands with Deep Learning
(
Regular Talk - Ecology Session
)
>
SlidesLive Video |
Maxim Samarin 🔗 |
Sat 10:15 a.m. - 10:20 a.m.
|
Novel application of Convolutional Neural Networks for the meta-modeling of large-scale spatial data
(
Lightning Talk - Ecology Session
)
>
SlidesLive Video |
Kiri Stern 🔗 |
Sat 10:20 a.m. - 10:25 a.m.
|
Understanding Climate Impacts on Vegetation with Gaussian Processes in Granger Causality
(
Lightning Talk - Ecology Session
)
>
SlidesLive Video |
Miguel Morata Dolz 🔗 |
Sat 10:25 a.m. - 10:30 a.m.
|
Interpreting the Impact of Weather on Crop Yield Using Attention
(
Lightning Talk - Ecology Session
)
>
SlidesLive Video |
Tryambak Gangopadhyay 🔗 |
Sat 10:30 a.m. - 10:55 a.m.
|
Q/A and Discussion for Ecology Session
(
Q/A and Discussion
)
>
|
Natasha Dudek · Dan Morris · Giulio De Leo 🔗 |
Sat 10:55 a.m. - 11:00 a.m.
|
Water
(
Session Introduction
)
>
|
Surya Karthik Mukkavilli 🔗 |
Sat 11:00 a.m. - 11:25 a.m.
|
Pierre Gentine
(
Water - Session Keynote
)
>
link
SlidesLive Video |
Pierre Gentine 🔗 |
Sat 11:25 a.m. - 11:40 a.m.
|
A Machine Learner's Guide to Streamflow Prediction
(
Spotlight Talk - Water Session
)
>
SlidesLive Video |
Martin Gauch 🔗 |
Sat 11:40 a.m. - 11:55 a.m.
|
A Deep Learning Architecture for Conservative Dynamical Systems: Application to Rainfall-Runoff Modeling
(
Spotlight Talk - Water Session
)
>
SlidesLive Video |
Grey Nearing 🔗 |
Sat 11:55 a.m. - 12:10 p.m.
|
Dynamic Hydrology Maps from Satellite-LiDAR Fusion
(
Spotlight Talk - Water Session
)
>
SlidesLive Video |
Gonzalo M García 🔗 |
Sat 12:10 p.m. - 12:20 p.m.
|
Efficient Reservoir Management through Deep Reinforcement Learning
(
Regular Talk - Water Session
)
>
SlidesLive Video |
Xinrun Wang 🔗 |
Sat 12:20 p.m. - 12:45 p.m.
|
Q/A and Discussion for Water Session
(
Q/A and Discussion
)
>
|
Surya Karthik Mukkavilli · Pierre Gentine · Grey Nearing 🔗 |
Sat 12:45 p.m. - 1:15 p.m.
|
Milind Tambe
(
Keynote
)
>
link
SlidesLive Video |
Milind Tambe 🔗 |
Sat 1:15 p.m. - 1:25 p.m.
|
Q/A and Discussion
(
Q/A and Discussion
)
>
|
Surya Karthik Mukkavilli · Mayur Mudigonda · Milind Tambe 🔗 |
Sat 1:25 p.m. - 1:30 p.m.
|
Atmosphere
(
Session Introduction
)
>
SlidesLive Video |
Tom Beucler 🔗 |
Sat 1:30 p.m. - 1:55 p.m.
|
Michael Pritchard
(
Atmosphere - Session Keynote
)
>
link
SlidesLive Video |
Mike Pritchard 🔗 |
Sat 1:55 p.m. - 2:20 p.m.
|
Elizabeth Barnes
(
Atmosphere - Session Keynote
)
>
link
SlidesLive Video |
Elizabeth A. Barnes 🔗 |
Sat 2:20 p.m. - 2:35 p.m.
|
Spatio-temporal segmentation and tracking of weather patterns with light-weight Neural Networks
(
Spotlight Talk - Atmosphere Session
)
>
SlidesLive Video |
Lukas Kapp-Schwoerer 🔗 |
Sat 2:35 p.m. - 2:50 p.m.
|
Leveraging Lightning with Convolutional Recurrent AutoEncoder and ROCKET for Severe Weather Detection
(
Spotlight Talk - Atmosphere Session
)
>
SlidesLive Video |
Nadia Ahmed 🔗 |
Sat 2:50 p.m. - 2:55 p.m.
|
Towards Data-Driven Physics-Informed Global Precipitation Forecasting from Satellite Imagery
(
Lightning Talk - Atmosphere Session
)
>
SlidesLive Video |
Valentina Zantedeschi · Valentina Zantedeschi 🔗 |
Sat 2:55 p.m. - 3:25 p.m.
|
Q/A and Discussion for Atmosphere Session
(
Q/A and Discussion
)
>
|
Tom Beucler · Mike Pritchard · Elizabeth A. Barnes 🔗 |
Sat 3:25 p.m. - 3:30 p.m.
|
Simulations, Physics-guided, and ML Theory
(
Session Introduction
)
>
|
Karthik Kashinath 🔗 |
Sat 3:30 p.m. - 3:55 p.m.
|
Stephan Mandt
(
Simulations, Physics-guided, and ML Theory - Session Keynote
)
>
link
SlidesLive Video |
Stephan Mandt 🔗 |
Sat 3:55 p.m. - 4:20 p.m.
|
Rose Yu
(
Simulations, Physics-guided, and ML Theory - Session Keynote
)
>
link
SlidesLive Video |
Rose Yu 🔗 |
Sat 4:20 p.m. - 4:30 p.m.
|
Generating Synthetic Multispectral Satellite Imagery from Sentinel-2
(
Regular Talk - ML Theory
)
>
SlidesLive Video |
Hamed Alemohammad 🔗 |
Sat 4:30 p.m. - 4:40 p.m.
|
Multiresolution Tensor Learning for Efficient and Interpretable Spatiotemporal Analysis
(
Regular Talk - ML Theory
)
>
SlidesLive Video |
Raechel Walker 🔗 |
Sat 4:40 p.m. - 4:50 p.m.
|
Climate-StyleGAN : Modeling Turbulent ClimateDynamics Using Style-GAN
(
Regular Talk - ML Theory
)
>
|
Rishabh Gupta 🔗 |
Sat 4:50 p.m. - 4:55 p.m.
|
Interpretable Deep Generative Spatio-Temporal Point Processes
(
Lightning Talk - ML Theory
)
>
SlidesLive Video |
Shixiang Zhu 🔗 |
Sat 4:55 p.m. - 5:00 p.m.
|
Completing physics-based model by learning hidden dynamics through data assimilation
(
Lightning Talk - ML Theory Session
)
>
SlidesLive Video |
Arthur Filoche 🔗 |
Sat 5:00 p.m. - 5:20 p.m.
|
Q/A and Discussion for ML Theory Session
(
Q/A and Discussion
)
>
|
Karthik Kashinath · Mayur Mudigonda · Stephan Mandt · Rose Yu 🔗 |
Sat 5:20 p.m. - 5:25 p.m.
|
People-Earth
(
Session Introduction
)
>
|
Mayur Mudigonda 🔗 |
Sat 5:25 p.m. - 6:00 p.m.
|
Q/A and Panel Discussion for People-Earth with Dan Kammen and Milind Tambe
(
Q/A and Panel Discussion
)
>
|
Daniel Kammen · Milind Tambe · Giulio De Leo · Mayur Mudigonda · Surya Karthik Mukkavilli 🔗 |
Sat 6:00 p.m. - 6:05 p.m.
|
Solid Earth
(
Session Introduction
)
>
|
Kelly Kochanski 🔗 |
Sat 6:05 p.m. - 6:20 p.m.
|
Soft Attention Convolutional Neural Networks for Rare Event Detection in Sequences
(
Spotlight Talk - Solid Earth Session
)
>
SlidesLive Video |
Mandar Kulkarni 🔗 |
Sat 6:20 p.m. - 6:30 p.m.
|
An End-to-End Earthquake Monitoring Method for Joint Earthquake Detection and Association using Deep Learning
(
Regular Talk - Solid Earth
)
>
SlidesLive Video |
Weiqiang Zhu 🔗 |
Sat 6:30 p.m. - 6:40 p.m.
|
Single-Station Earthquake Location Using Deep Neural Networks
(
Regular Talk - Solid Earth
)
>
SlidesLive Video |
S. Mostafa Mousavi 🔗 |
Sat 6:40 p.m. - 6:45 p.m.
|
Framework for automatic globally optimal well log correlation
(
Lightning Talk - Solid Earth Session
)
>
SlidesLive Video |
Oleh Datskiv 🔗 |
Sat 6:45 p.m. - 7:00 p.m.
|
Q/A and Discussion for Solid Earth
(
Q/A and Discussion
)
>
|
Kelly Kochanski 🔗 |
Sat 7:00 p.m. - 7:05 p.m.
|
Benchmark Datasets
(
Session Introduction
)
>
|
Karthik Kashinath 🔗 |
Sat 7:05 p.m. - 7:30 p.m.
|
Stephan Rasp
(
Benchmark Datasets - Session Keynote
)
>
link
SlidesLive Video |
Stephan Rasp 🔗 |
Sat 7:30 p.m. - 7:45 p.m.
|
RainBench: Enabling Data-Driven Precipitation Forecasting on a Global Scale
(
Spotlight Talk - Benchmark Datasets
)
>
SlidesLive Video |
Catherine Tong 🔗 |
Sat 7:45 p.m. - 8:00 p.m.
|
WildfireDB: A Spatio-Temporal Dataset Combining Wildfire Occurrence with Relevant Covariates
(
Spotlight Talk - Benchmark Datasets Session
)
>
SlidesLive Video |
Samriddhi Singla · Tina Diao 🔗 |
Sat 8:00 p.m. - 8:10 p.m.
|
LandCoverNet: A global benchmark land cover classification training dataset
(
Regular Talk - Benchmark Datasets Session
)
>
SlidesLive Video |
Hamed Alemohammad 🔗 |
Sat 8:10 p.m. - 8:20 p.m.
|
Applying Machine Learning to Crowd-sourced Data from Earthquake Detective
(
Regular Talk - Benchmark Datasets Session
)
>
SlidesLive Video |
Omkar Ranadive 🔗 |
Sat 8:20 p.m. - 8:25 p.m.
|
An Active Learning Pipeline to Detect Hurricane Washover in Post-Storm Aerial Images
(
Lightning Talk - Benchmark Datasets Session
)
>
SlidesLive Video |
Evan Goldstein 🔗 |
Sat 8:25 p.m. - 8:30 p.m.
|
Developing High Quality Training Samples for Deep Learning Based Local Climate Classification in Korea
(
Lightning Talk - Benchmark Datasets Session
)
>
SlidesLive Video |
Minho Kim 🔗 |
Sat 8:30 p.m. - 8:55 p.m.
|
Q/A and Discussion for Benchmark Datasets
(
Q/A and Discussion
)
>
|
Karthik Kashinath 🔗 |
Sat 8:55 p.m. - 9:00 p.m.
|
Workshop Closing Remarks
(
Workshop Closing Remarks
)
>
|
Surya Karthik Mukkavilli 🔗 |
Sat 8:55 p.m. - 8:55 p.m.
|
Posters
(
Posters - Break (On Demand Pre-recorded Not Livestreamed)
)
>
|
Surya Karthik Mukkavilli 🔗 |
Sat 9:00 p.m. - 9:00 p.m.
|
Bias correction of global climate model using machine learning algorithms to determine meteorological variables in different tropical climates of Indonesia
(
Poster - Atmosphere Session
)
>
SlidesLive Video |
Juan Nathaniel 🔗 |
Sat 9:00 p.m. - 9:00 p.m.
|
Optimising Placement of Pollution Sensors in Windy Environments
(
Poster - Atmosphere Session
)
>
SlidesLive Video |
Sigrid Passano Hellan 🔗 |
Sat 9:00 p.m. - 9:00 p.m.
|
Temporally Weighting Machine Learning Models for High-Impact Severe Hail Prediction
(
Poster - Atmosphere Session
)
>
SlidesLive Video |
Amanda Burke 🔗 |
Sat 9:00 p.m. - 9:00 p.m.
|
Integrating data assimilation with structurally equivariant spatial transformers: Physically consistent data-driven models for weather forecasting
(
Poster - Atmosphere Session
)
>
SlidesLive Video |
Ashesh Chattopadhyay 🔗 |
Sat 9:00 p.m. - 9:00 p.m.
|
Unsupervised Regionalization of Particle-resolved Aerosol Mixing State Indices on the Global Scale
(
Poster - Atmosphere Session
)
>
SlidesLive Video |
Zhonghua Zheng 🔗 |
Sat 9:00 p.m. - 9:00 p.m.
|
MonarchNet: Differentiating Monarch Butterflies from Those with Similar Appearances
(
Poster - Benchmark Datasets Session
)
>
SlidesLive Video |
Thomas Chen 🔗 |
Sat 9:00 p.m. - 9:00 p.m.
|
Nowcasting Solar Irradiance Over Oahu
(
Poster - Atmosphere Session
)
>
SlidesLive Video |
Peter Sadowski 🔗 |
Sat 9:00 p.m. - 9:00 p.m.
|
Semantic Segmentation of Medium-Resolution Satellite Imagery using Conditional Generative Adversarial Networks
(
Poster - ML Theory
)
>
SlidesLive Video |
Hamed Alemohammad 🔗 |
Sat 9:00 p.m. - 9:00 p.m.
|
Spectral Unmixing With Multinomial Mixture Kernel and Wasserstein Generative Adversarial Loss
(
Poster - Sensing and Sampling Session
)
>
SlidesLive Video |
Savas Ozkan 🔗 |
Sat 9:00 p.m. - 9:00 p.m.
|
Interpretability in Convolutional Neural Networks for Building Damage Classification in Satellite Imagery
(
Poster - Sensing and Sampling Session
)
>
SlidesLive Video |
Thomas Chen 🔗 |
Sat 9:00 p.m. - 9:00 p.m.
|
Towards Automated Satellite Conjunction Management with Bayesian Deep Learning
(
Poster - Sensing and Sampling Session
)
>
SlidesLive Video |
Francesco Pinto 🔗 |
Sat 9:00 p.m. - 9:00 p.m.
|
Domain Adaptive Shake-shake Residual Network for Corn Disease Recognition
(
Poster - Sensing and Sampling Session
)
>
SlidesLive Video |
Yuan Fang 🔗 |
Sat 9:00 p.m. - 9:00 p.m.
|
A Comparison of Data-Driven Models for Predicting Stream Water Temperature
(
Poster - Water Session
)
>
SlidesLive Video |
Helen Weierbach 🔗 |
Sat 9:00 p.m. - 9:00 p.m.
|
Inductive Predictions of Extreme Hydrologic Events in The Wabash River Watershed
(
Poster - Water Session
)
>
SlidesLive Video |
Nicholas Majeske 🔗 |
Sat 9:00 p.m. - 9:00 p.m.
|
Predicting Streamflow By Using BiLSTM with Attention from heterogeneous spatiotemporal remote sensing products
(
Poster - Water Session
)
>
SlidesLive Video |
Udit Bhatia - IITGN 🔗 |