NP4.1

Big Data and AI in the Earth Sciences

NP4.1

Big Data and AI in the Earth Sciences

Co-sponsored by IEEE GRSS

Convener: Peter Baumann | Co-conveners: Otoniel José Campos EscobarECSECS, Sandro Fiore, Mikhail Kanevski, Kwo-Sen Kuo

vPICO presentations

| Thu, 29 Apr, 15:30–17:00 (CEST)

vPICO presentations: Thu, 29 Apr

Chairpersons: Peter Baumann, Otoniel José Campos Escobar

EGU21-417

ECS

A new Method for Fault-Scarp Detection Using Linear Discriminant Analysis (LDA) in High-Resolution Bathymetry Data From the Alarcón Rise and Pescadero Basin, Gulf of California.

Luis Angel Vega Ramirez et al.

EGU21-501

Heterogeneous Parallel Processing Enabled Deep Learning Pattern Recognition of Seismic Big Data in Syrna and Kandelioussa | Highlight

Antonios Konstantaras et al.

EGU21-2105

Random forests in water resources

Hristos Tyralis et al.

EGU21-6697

Empirical analysis of time series using feature selection algorithms

Mikhail Kanevski

EGU21-7409

ECS

Towards AI in Array Databases | Highlight

Otoniel José Campos Escobar and Peter Baumann

EGU21-8259

ECS

LPCMCI: Causal Discovery in Time Series with Latent Confounders

Andreas Gerhardus and Jakob Runge

EGU21-8584

ECS

A Benchmark for Bivariate Causal Discovery Methods

Christoph Käding and Jakob Runge

EGU21-8844

ECS

Comparison of AI-based approaches for statistical downscaling of surface wind fields in the North Atlantic

Vadim Rezvov et al.

EGU21-12157

ECS

Deep Learning Enhances the Detection of Breeding Birds in UAV Images | Highlight

Benjamin Kellenberger et al.

EGU21-12486

ECS

The Sen2Cube.at national semantic Earth observation data cube for Austria | Highlight

Martin Sudmanns et al.

EGU21-13051

ECS

Artificial neural networks in the problem of determining the position and size of the solar disk in wide-angle photographs of the sky

Mikhail Borisov and Mikhail Krinitskiy

EGU21-14467

ECS

Supervised Machine Learning Techniques to Assess Tropical Cyclones in Bay of Bengal and Bangladesh | Highlight

Mariam Hussain and Seon Ki Park

EGU21-14470

ECS

The use of artificial neural networks in the problem of classifying cloud types in wide-angle images of the visible hemisphere of the sky.

Nikita Veremev

EGU21-14553

ECS

Crowd, Crops and Machines: How crowdsourced annotations can help towards crops classification

Alexis Guillot et al.

EGU21-15729

ECS

Spatio-Temporal Gaussianization Flows for Extreme Event Detection

Miguel-Ángel Fernández-Torres et al.

EGU21-15841

ECS

MCA-Unet: Multi-class Attention-aware U-net for Seismic Phase Picking

Wei Li et al.

EGU21-15917

ECS

Monitoring Temporal Developments from Remote Sensing Data using AI Fine-Grained Segmentation | Highlight

Samir Zamarialai et al.

EGU21-15941

ECS

Real Time Magnitude Classification of Earthquake Waveforms using Deep Learning

Megha Chakraborty et al.

EGU21-15944

ECS

Predicting climate model response to changing emissions

Laura Mansfield et al.

EGU21-16410

ECS

Integrating STARE with relational databases | Highlight

Niklas Griessbaum et al.

16:10–17:00

Meet the authors in their breakout text chats