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Posters IE4.1/NP4.3/AS5.13/CL5.18/ESSI2.3/GD10.6/HS3.7/NH11.14/SM7.03

IE4.1/NP4.3/AS5.13/CL5.18/ESSI2.3/GD10.6/HS3.7/NH11.14/SM7.03

Big data and machine learning in geosciences (co-organized)
Convener: Mikhail Kanevski 
Co-Conveners: Peter Baumann , Philip Brown , Reik Donner , Sandro Fiore , Kwo-Sen Kuo , Rosa Lasaponara , Morris Riedel , Karsten Steinhaeuser , Nicolas Younan 
Session details
Orals
 / Mon, 09 Apr, 10:30–12:00  / 13:30–17:00  / Room N2
Posters
 / Attendance Mon, 09 Apr, 17:30–19:00  / Hall X3
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Attendance Time: Monday, 09 Apr, 17:30–19:00
Hall X3
Chairperson: Sandro Fiore, Peter Baumann, Kuo Kwo-sen, Nicolas Younan, Mikhail Kanevski
X3.44
EGU2018-1902
Large-scale assessment of random forests for data-driven hydrological modelling at monthly scale
Georgia Papacharalampous and Hristos Tyralis

X3.45
EGU2018-1901
Univariate time series forecasting properties of random forests
Hristos Tyralis and Georgia Papacharalampous

X3.46
EGU2018-2162 | Presentation
Maps of coherence of GPS noise in the USA, 2013-2017
Alexey Lyubushin

X3.47 EGU2018-2628
“Big” Data vs. “Small” data – A Scale Puzzle for Scientists and a Scale Dilemma for Decision Makers (withdrawn)
Zamir Libohova, Phillip Owens, Cathy Seybold, Skye Wills, Dylan Beaudette, and David Lindbo

X3.48 EGU2018-2650
Research on applying Multiple LSTM Network on WRF models for sea surface wind prediction (withdrawn)
Guosong Wang, Yulong Liu, Hui Wang, and Min Hou

X3.49 EGU2018-3857
Digital Heihe River System (withdrawn after no-show)
Wu Adan and Guo Jianwen

X3.50
EGU2018-4177
Landslide Occurrence Factor Analysis with Multi-Resolution data set Derived from LiDAR in Southern Taiwan
Yu-Wen Chen and Teng-To Yu

X3.51
EGU2018-4405
Analysis of high dimensional environmental data using local fractality concept and machine learning
Mikhail Kanevski and Mohamed Laib

X3.52
EGU2018-5328
XDC Project: Dealing with extremely large and heterogeneous datasets
Fernando Aguilar Gómez and Jesús Marco

X3.53
EGU2018-5767
Binary Classification of Remote Sensing Images Using a CNN-based Learning
Yu-Ching Lin, Wei-Chun Wang, and Ming-Da Tsai

X3.54
EGU2018-5919
UAV image classification of a riverine landscape by using machine learning techniques
Hitoshi Miyamoto, Akito Momose, and Shuji Iwami

X3.55
EGU2018-6604
Convolutional Neural Network (CNN) for the ENSO prediction in a perfect model framework
Jeong-Hwan Kim and Yoo-Geun Ham

X3.56 EGU2018-10448
3D big data modeling and visualization of underground faults through information fusion of 2D underground faults’ mapping and seismic data mining (withdrawn after no-show)
Antonios Konstantaras, Theofanis Frantzeskakis, and Emmanuel Maravelakis

X3.57
EGU2018-6320
What morphology affects the air pollution in a larger scale of urban agglomeration areas? An evolving perspective from 2-D urban form to 3-D socio-economic form based on satellite imagery and machine learning
Ze Liang and Shuangcheng Li

X3.58
EGU2018-6929
GemPy: Model based machine learning in implicit geological modelling
Miguel de la Varga, Alexander Schaaf, and Florian Wellmann

X3.59
EGU2018-10983
Bias correction in geolocated crowdsourced data from Strava using Machine Learning based linear models
Avipsa Roy and Trisalyn Nelson

X3.60
EGU2018-12402
FastGAPP 2.0 – A MATLAB-based program supports geoscientists interpreting data
Florian Riefstahl

X3.61
EGU2018-13667
Classifying ocean profiles with machine learning algorithms
Kimmo Tikka, Antti Westerlund, Pekka Alenius, and Laura Tuomi

X3.62
EGU2018-14788
Big Data and Sapropel: a challenge
Ruben Amezcua Buendia, Claudia Diamantini, Domenico Potena, and Alessandra Negri

X3.63 EGU2018-16849
Can we trust machine learning for automatic early warning systems on Mt. Etna? (withdrawn)
Flavio Cannavo', Andrea Cannata, and Carmelo Cassisi

X3.64 EGU2018-16985
Commutative Jordan algebras and binary operations: a framework on environment data (withdrawn after no-show)
Francisco Carvalho, João T. Mexia, and Cristina Andrade

X3.65
EGU2018-16994
Prediction of seismic p-wave velocity using machine learning
Ines Dumke and Christian Berndt

X3.66 EGU2018-18333
DNN based Predictive modelling for determination of Material Properties (withdrawn after no-show)
Kumar Hemant Singh, Rohit Kumar Shrivastava, and Anil Kumar

X3.67
EGU2018-17365
Event detection in ambient seismic noise by means of robust outlier detection
Matthias Steiner, Wolfgang Straka, and Adrian Flores-Orozco

X3.68
EGU2018-19720
Toward Generic, Multi-Modal Object Tracking and Image Fusion using Unsupervised Deep Learning
Nicholas LaHaye, Jordan Ott, Michael J. Garay, Hesham El-Askary, and Erik Linstead

X3.69
EGU2018-18036
Artificial neural networks for total cloud cover estimation and solar disk state detection using all sky images
Mikhail Krinitskiy

X3.70
EGU2018-15594
A new adaptive identification and predicting system of sweet spots and their production potential in unconventional reservoirs
Stanislav Ursegov, Armen Zakharian, Evgenii Taraskin, and Desmond Dorhjie

X3.71
EGU2018-17808
Learning patterns from data in an unsupervised manner: A Bayesian approach for spatial and statistical pattern extraction of subsoil heterogeneity using satellite derived NDVI time series and electromagnetic induction measurements
Hui Wang, Florian Wellmann, Maximilian Kanig, Christian von Hebel, and Jan van der Kruk

X3.72
EGU2018-9700
Big Geospatial Data - OGC white paper and plans
Marie-Francoise Voidrot-Martinez, George Percivall, and Luis Bermudez

X3.73
EGU2018-8609 | Presentation
Towards an optimised environmental data compression method for structured model output
Ugur Cayoglu, Peter Braesicke, Tobias Kerzenmacher, Jörg Meyer, and Achim Streit

X3.74
EGU2018-1120
Automatic Multiple-Expert Quality Assessment for Batch Processed Martian DTMs
Alfiah Rizky Diana Putri, Panagiotis Sidiropoulos, Yu Tao, and Jan-Peter Muller

X3.75
EGU2018-9956
Geospatial Big Data for decision making: the view from the bottom
Eric Lindquist