GeoPython 2022
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Registration Opens
Opening Session
Large-scale geospatial and temporal dataset
(Donjeta Runjeva, Bjarke Møholt)
A python-based pipeline for large-scale land cover information extraction from cloud-based historical topographic map collections
(Johannes Uhl)
Coffee Break
Display Your Map on a Website Using Geopandas , Folium , Django , and Heroku
(Gregory Wallace)
EOmaps - Interactive maps in python
(Raphael Quast)
Cloud for Mars: python tools to planetary data access through EOSC
(Carlos Brandt)
Lunch Break
A recap view on the crowdsourced map for checking supermarket wait times worldwide in 2020
(Miki Lombardi)
ITS_LIVE: Simplifying access to global glaciological big data
(Luis Lopez)
Improving GNSS position quality with machine learning approaches
(Stark, Hans-Jörg Prof.)
Coffee Break
Parking Recommendation Service Using RS & GIS
(Moslem Darvishi, Abouzar Ramezani)
Quantifying agricultural soil carbon stocks at continent scale using a modern Python big data and ML framework
(Julia Maddalena, David Schurman)
Coffee Break
Python static type checking with mypy
(Michal Gutowski)
DL4DS - A python library for empirical downscaling and super-resolution of Earth Science data
(Carlos Alberto Gómez Gonzalez)
Explorative Analysis and Visualization of High-dimensional Remote Sensing Data Using UMAP
(Sylvia Schmitz)
Lunch Break
QGreenland: automated QGIS data package creation for Greenland
(Trey Stafford)
Easily build interactive and static maps with hvPlot
(Maxime Liquet)
Coffee Break
Teaching GeoPython in a Geo-information Master Programme
(Barend Köbben)
Mapping VIIRS Active Fires in South America
(Abraham Coiman)
Track and Curtail Carbon Footprint of your Python Code with CodeCarbon
(Anmol Krishan Sachdeva)
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08:00
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Registration Opens
Opening Session
State of GeoPandas ecosystem
(Martin Fleischmann, Joris Van den Bossche)
pointcloudset - Efficient analysis of large datasets of point clouds recorded over time
(Thomas Gölles)
Coffee Break
MovingPandas: general purpose visual movement data analytics
(Anita Graser)
Accurate visual localization exploiting street-level imagery
(Stephan Nebiker, Jonas Meyer)
Learning from the “cool kids”: how academic research can benefit from becoming more like open-source
(Martin Fleischmann)
Lunch Break
Similarity Metrics from Vegetation Index Time Series
(Dimo Dimov)
Road risk analysis with Google Cloud serverless tools
(Nicola Guglielmi)
EOReader - Remote-sensing opensource python library for optical and SAR sensors
(Rémi Braun)
Coffee Break
Population Demographic Tracking and Estimation Tool: A Simulation-Dashboard for Urban Redevelopments.
(Shai Sussman)
Robyn: An async web framework written in Rust
(Sanskar)
Formulating geospatial data questions to answer big problems
(bonny mcclain)
Coffee Break
Mapping a COVID-19 Testing Needs Index
(Krista Mar)
pygeofilter: geospatial filtering made easy
(Fabian Schindler)
Lunch Break
The Silence of Global Oceans: Acoustic Impact of the COVID-19 Lockdowns
(Artash Nath)
Who Said Wrangling Geospatial Data at Scale was Easy?
(Victoria Adesoba, Brendan Collins)
Appling Python in Petroleum System Modeling.
(Giboreau)
Coffee Break
Finding inequality in public transport mobility patterns for the Metropolitan Region of Buenos Aires
(Felipe Gonzalez, Sebastián Anapolsky)
Likeness: a Python toolkit for connecting the social fabric of place to human dynamics
(James Gaboardi, Joe Tuccillo)
Predicting urban heat islands in Calgary
(Sumedh Ghatage, Anand S)
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