GeoPython 2023
Adonai Vera
“Illuminating the Underground with Artificial Intelligence.”
Alessio Ciullo
“CLIMADA: a python package for physical climate risk analysis”
Andrii Rodionov
“Real-time Stream Processing without Migraines”
Anmol Krishan Sachdeva
“Code-Centric Infrastructure as Code (IaC) using Pulumi with Python”
Ari Jeannin
Arno Röder
“Developing an AI assisted collaborative mapping tool for disaster management”
Ben Jones
“Beyond Boredom: A Layered Approach To Automating Borehole Analysis”
Benoît Bovy
“Spherely: Geometric features on the sphere”
Chahan Kropf
“CLIMADA: a python package for physical climate risk analysis”
Daniel Scheffler
Ditmar Visser
“Using Python based GeoAI to Enhance topographic mapping in the Dutch National Mapping Agency”
Edzer Pebesma
“R Spatial and GeoPython, a happy marriage”
Ege Cetintas
“MapScale: a Python-based technology for automated conversion of drawings to indoor maps”
Fawaz Ghali
“Real-time Stream Processing without Migraines”
Felipe Gonzalez
“Urbantrips: an opensource library to analyze public transit smart card data”
Ganesh N. Sivalingam
“FastAPI and Tile38: Ultra fast retrieval of geospatial data”
Hans-Jörg Stark
“Automated Isozones computation with OpenRouteService and Python”
Itzá Alejandra Hernández Sequeira
“Semi supervised classification for aerial imagery”
John Sandall
“Beyond Boredom: A Layered Approach To Automating Borehole Analysis”
Joris Van den Bossche
“Shapely 2.0” | “Writing an efficient code for GeoPandas and Shapely in 2023”
Josep Sitjar
“UNIGIS Girona, an MSc for geospatial data scientists”
Lassi Lehto
“Power of Python in Geodata Integration”
Lisah Khadiala Ligono
“Revolutionizing Demography with AI’s Deep Learning: Using Python to Estimate Population Dynamics”
Lukas Schmid
“Introduction to depth-based stable diffusion for Blender using Dream Textures” | “Timebased visualization of costs, surface-level and volume geometry”
Martin Christen
“Opening Session Day 1” | “Geospatial Data Processing in Python” | “Conference Closing”
Martin Fleischmann
“Vector data cubes as a bridge between raster and vector worlds” | “Writing an efficient code for GeoPandas and Shapely in 2023” | “R Spatial and GeoPython, a happy marriage”
Mathieu Gravey
“How to use JavaScript Google Earth Engine in Python”
Mattijn van Hoek
“Engaging geovisualisations with Vega-Altair”
Matt Travis
“A guide on using OSMnx and geopandas to extract and manipulate OpenStreetMap data”
Melih Peker
“MapScale: a Python-based technology for automated conversion of drawings to indoor maps”
Mikolaj Czerkawski
“Deep Internal Learning for Satellite Image Synthesis” | “Generating Clouds in Satellite Images with SatelliteCloudGenerator ☁️”
Milad Mahour
“Automatic sill height detection from Mobile Mapping point clouds data”
Peter Brouwer
“Using Python based GeoAI to Enhance topographic mapping in the Dutch National Mapping Agency”
Raphael Quast
“Visualize, analyze and compare geographical datasets with EOmaps.”
Sjoerd Braaksma
“Automatic sill height detection from Mobile Mapping point clouds data”
Sophia Yang
“HoloViz: Visualization and Interactive Dashboards in Python”
Stefan Bussemaker
“Using Python based GeoAI to Enhance topographic mapping in the Dutch National Mapping Agency”
Sven Schmitz-Leuffen
“Automated weeding of railway tracks”
Tobias Augspurger
“Open Source in Environmental Sustainability”
Yoni Nachmany
“Generating Elevation Data from Stereo Pairs of Satellite Imagery”