GeoPython2019

Dmitry Karpov

»Spatial data in real-time apps with Python«


PJ Hagerty

»The Pony Express and How Technology Moves Fast«


Andrew Carter

»Spotting Sharks with the TensorFlow Object Detection API« | »Messaging with Satellites from Anywhere on the Planet«


Aragats

»Digital Farming: Fertilise Variably Based on Satellite Data«


Knut Hühne

»Wikidata - a new source for geospatial data«


Freja Hunt

»Automating the definition and optimization of census sampling areas«


Dietrich Schröder

»Simulation and Visualization of Gully Erosion – a Work-in-Progress Report«


Clemens Rudert

»pyramid_georest«


Régis Longchamp

»Introduction to Spatial Data Processing using FME and Python«


Adrian Meyer

»Using Tensorflow for Infrared UAV-based Wildlife Detection« | »Machine Learning for Land Use / Land Cover Statistics of Switzerland« | »Deep Learning using Airborne Imagery«


Balázs Dukai

»Working with 3D city models in Python«


Marvin Bensch

»Analyzing geospatial data using GeoPandas«


Shreya Khurana

»Bayesian modeling with spatial data using PyMC3«


Rachel Keay

»Coastline mapping with python, satellite imagery and computer vision.«


Kristiaan Joseph

»Python in a Geologist’s Backpack«


Chenfu Wang

»Geomapping with Pyecharts(Echarts.js)«


Reimar Bauer

»The Mission Support System«


Tom Kralidis

»GeoHealthCheck: QoS Monitor for Geospatial Web Services«


Rok Mihevc

»Terrain segmentation with label bootstrapping for lidar datasets, case of doline detection«


Mike Müller

»Modeling of Subsurface Flow and Transport with Dynamic Boundary Conditions«


Giulia Carella

»Site planning with Geopandas and CARTO«


Ture Friese

»Building a bus rapid transport system simulator with SimPy and GeoPandas«


Jiří Kadlec

»Open source web-based tool for quality control of large spatial datasets«


Luis Calisto

»Scientific Geo-Computing using Python. How we teach it at ITC«


Just van den Broecke

»GeoHealthCheck: QoS Monitor for Geospatial Web Services«


Joseph Kaelin

»Getting Data out of CAD and into Python«


Miroslav Šedivý

»A Day Has Only 24±1 Hours« | »Python from “Hello World” to “Fit for GeoPython” in 180 Minutes«


Serhii Hulko

»Accelerating distances calculations using GPU«


Andrew Smith

»PyViz for Mapping Global Shipping«


Martin Pike

»Getting Data out of CAD and into Python«


Anmol Krishan Sachdeva

»Understanding and Implementing Generative Adversarial Networks (GANs): One of the BIGGEST Breakthroughs in the Deep Learning Revolution«


Marco Bernasocchi

»PyQGIS the comfortable way - tricks to efficiently work with Python and QGIS«


Martin Christen

»Closing Session & Raffle« | »Opening / Annoucements«


André Zehnder

»Geodata Processing and Webservices with Python and Azure«


Martin Renou

»ipyleaflet - A Jupyter-Leaflet bridge enabling interactive maps in Jupyter«


Michael Zwick

»Automated and reproducible object creation from swisstopo 3D geo data for a VR app with Python and FME«


Sylvain Corlay

»ipyleaflet - A Jupyter-Leaflet bridge enabling interactive maps in Jupyter«


Matteo Nastasi

»HyBridge: an open-source framework for QGIS desktop - Web Application interoperability.«


Hans-Jörg Stark

»Sporty Python« | »Python and QGIS - a powerful and lovely partnership« | »Raspberry Pi & Camera«


Paolo Tormene

»The Integrated Risk Modelling Toolkit: a QGIS plugin driving the OpenQuake Engine«


Stanis Trendelenburg

»Using Python to build a scalable realtime information system for a railway service«


Joris Van den Bossche

»Introduction to geospatial data analysis with GeoPandas and the PyData stack«


Germán Carrillo

»Python as an integrator of technologies to support modernization of land administration in Colombia«


Michael Gfeller

»Building a bus rapid transport system simulator with SimPy and GeoPandas«


Daniel Rettenmund

»Deep Learning using Airborne Imagery«


Vinícius Cruvinel Rêgo

»Geoprocessing for Agricultural Analysis using Python: Case study of the Baixio do Irecê Irrigation Perimeter«


Ilja Rasin

»Building a Secure and Transparent ML Pipeline Using Open Source Technologies« | »Detect and Remediate Bias in Machines Learning Datasets and Models«


Ram Rachum

»PySnooper - Never use print for debugging again«


Denis Jordan

»Deep Learning using Airborne Imagery«


Matej Aleksandrov

»Bridging Earth Observation data and Machine Learning in Python«


Matic Lubej

»How to structure EO data for ML workflows«