Posters IE4.1/NP4.3/AS5.13/CL5.18/ESSI2.3/GD10.6/HS3.7/NH11.14/SM7.03
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Attendance Time: Monday, 9 April 2018, 17:30–19:00 Hall X3 Chairperson: Sandro Fiore, Peter Baumann, Kuo Kwo-sen, Nicolas Younan, Mikhail Kanevski |
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X3.44
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EGU2018-1902
Large-scale assessment of random forests for data-driven hydrological modelling at monthly scale Georgia Papacharalampous and Hristos Tyralis |
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X3.45
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EGU2018-1901
Univariate time series forecasting properties of random forests Hristos Tyralis and Georgia Papacharalampous |
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X3.46
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EGU2018-2162
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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“Big” Data vs. “Small” data – A Scale Puzzle for Scientists and a Scale Dilemma for Decision Makers (withdrawn) Zamir Libohova, Phillip Owens, Cathy Seybold, Skye Wills, Dylan Beaudette, and David Lindbo |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Research on applying Multiple LSTM Network on WRF models for sea surface wind prediction (withdrawn) Guosong Wang, Yulong Liu, Hui Wang, and Min Hou |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Digital Heihe River System (withdrawn after no-show) Wu Adan and Guo Jianwen |
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X3.50
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EGU2018-4177
Landslide Occurrence Factor Analysis with Multi-Resolution data set Derived from LiDAR in Southern Taiwan Yu-Wen Chen and Teng-To Yu |
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X3.51
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EGU2018-4405
Analysis of high dimensional environmental data using local fractality concept and machine learning Mikhail Kanevski and Mohamed Laib |
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X3.52
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EGU2018-5328
XDC Project: Dealing with extremely large and heterogeneous datasets Fernando Aguilar Gómez and Jesús Marco |
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X3.53
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EGU2018-5767
Binary Classification of Remote Sensing Images Using a CNN-based Learning Yu-Ching Lin, Wei-Chun Wang, and Ming-Da Tsai |
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X3.54
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EGU2018-5919
UAV image classification of a riverine landscape by using machine learning techniques Hitoshi Miyamoto, Akito Momose, and Shuji Iwami |
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X3.55
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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 |
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X3.57
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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 |
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X3.58
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EGU2018-6929
GemPy: Model based machine learning in implicit geological modelling Miguel de la Varga, Alexander Schaaf, and Florian Wellmann |
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X3.59
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EGU2018-10983
Bias correction in geolocated crowdsourced data from Strava using Machine Learning based linear models Avipsa Roy and Trisalyn Nelson |
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X3.60
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EGU2018-12402
FastGAPP 2.0 – A MATLAB-based program supports geoscientists interpreting data Florian Riefstahl |
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X3.61
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EGU2018-13667
Classifying ocean profiles with machine learning algorithms Kimmo Tikka, Antti Westerlund, Pekka Alenius, and Laura Tuomi |
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X3.62
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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 |
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X3.65
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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 |
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X3.67
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EGU2018-17365
Event detection in ambient seismic noise by means of robust outlier detection Matthias Steiner, Wolfgang Straka, and Adrian Flores-Orozco |
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X3.68
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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 |
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X3.69
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EGU2018-18036
Artificial neural networks for total cloud cover estimation and solar disk state detection using all sky images Mikhail Krinitskiy |
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X3.70
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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 |
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X3.71
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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 |
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X3.72
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EGU2018-9700
Big Geospatial Data - OGC white paper and plans Marie-Francoise Voidrot-Martinez, George Percivall, and Luis Bermudez |
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X3.73
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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 |
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X3.74
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EGU2018-1120
Automatic Multiple-Expert Quality Assessment for Batch Processed Martian DTMs Alfiah Rizky Diana Putri, Panagiotis Sidiropoulos, Yu Tao, and Jan-Peter Muller |
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X3.75
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EGU2018-9956
Geospatial Big Data for decision making: the view from the bottom Eric Lindquist |