Posters SSS12.1/GI1.11/GM2.14
|
SSS12.1/GI1.11/GM2.14 Learning from spatial data: unveiling the geo-environment through quantitative approaches (co-organized) |
| Convener: Sebastiano Trevisani | Co-Conveners: Igor Bogunovic , Marco Cavalli , Stefano Crema , Jean Golay , Paulo Pereira , Aldina Piedade , Giordano Teza |
|
Posters
/ Attendance Mon, 09 Apr, 17:30–19:00
|
|
Attendance Time: Monday, 9 April 2018, 17:30–19:00 Hall X3 |
|
|
X3.253
|
EGU2018-13856
IDmining: An R Package for Mining Large Datasets with the Morisita Estimator of Intrinsic Dimension Jean Golay, Mohamed Laib, and Mikhail Kanevski |
|
X3.254
|
EGU2018-7553
About the information content of spatial data – Improving the performance of boosted regression trees by using the differential evolution algorithm for parameter tuning Anika Gebauer and Mareike Ließ |
|
X3.255
|
EGU2018-4671
Deep Learning for Remote Sensing Scene Classification: A Simple and High-Performance Architecture Mohamed Laib, Jean Golay, Fabian Guignard, and Mikhail Kanevski |
|
X3.256
|
EGU2018-14564
Modelling-mapping slope deposits depth and uncertainty assessment by means of machine learning approaches Emanuele Trefolini, Leonardo Disperati, Vincenzo Vacca, Enrico D’Addario, Elisa Mammoliti, Michele Papasidero, and Federico Viti |
|
X3.257
|
EGU2018-13891
Review of parameters used in the detection of selected land form from ALS data Magdalena Pieniak |
|
X3.258
|
EGU2018-15495
Geomorphometric approach for a preliminary debris-flow characterization at the regional scale Marco Cavalli, Stefano Crema, Sebastiano Trevisani, and Lorenzo Marchi |
|
X3.259
|
EGU2018-4033
| presentation
Exploring Prediction Uncertainty of Spatial Data in Geostatistical and Machine Learning Approaches: A Simulation Case Study Jens Klump and Francky Fouedjio |
|
X3.260
|
EGU2018-12046
Geostatistical mapping of the shallow seismic impedance contrast in Venice (Italy) Sebastiano Trevisani and Jacopo Boaga |
|
X3.261
|
EGU2018-4528
Mapping soil physical and chemical parameters in a farmland catchment: implications for soil budgets at field and hillslope scales Manuel López-Vicente and Sara Álvarez |
|
X3.262
|
EGU2018-1142
Using regional pedological map to compare the European soil organic carbon data from LUCAS with legacy data Calogero Schillaci, Alessia Perego, Sergio Saia, Martino Bellieni, Stefano Brenna, and Marco Acutis |
|
X3.263
|
EGU2018-11797
Spatial distribution of total nitrogen and pH in karst field Livno (Bosnia and Herzegovina) Igor Bogunović, Paulo Pereira, Radica Ćorić, and Stjepan Husnjak |