GeoPython 2022

Abouzar Ramezani

“Parking Recommendation Service Using RS & GIS”


Abraham Coiman

“Mapping VIIRS Active Fires in South America”


Adithya Krishnan

“Build and deploy a geospatial web-application”


Adrian Meyer

“Applied Semantic Segmentation for Large Scale Aerial Imagery”


Anand S

“Predicting urban heat islands in Calgary”


Anita Graser

“MovingPandas: general purpose visual movement data analytics”


Anmol Krishan Sachdeva

“Track and Curtail Carbon Footprint of your Python Code with CodeCarbon”


Artash Nath

“The Silence of Global Oceans: Acoustic Impact of the COVID-19 Lockdowns”


Barend Köbben

“Teaching GeoPython in a Geo-information Master Programme”


Bjarke Møholt

“Large-scale geospatial and temporal dataset”


bonny mcclain

“Formulating geospatial data questions to answer big problems”


Brendan Collins

“Who Said Wrangling Geospatial Data at Scale was Easy?”


Carlos Alberto Gómez Gonzalez

“DL4DS - A python library for empirical downscaling and super-resolution of Earth Science data”


Carlos Brandt

“Cloud for Mars: python tools to planetary data access through EOSC”


Charles Stern

“[WORKSHOP CANCELLED] Pangeo Forge: Crowdsourcing Open Data in the Cloud”


David Schurman

“Quantifying agricultural soil carbon stocks at continent scale using a modern Python big data and ML framework”


Dimo Dimov

“Similarity Metrics from Vegetation Index Time Series”


Donjeta Runjeva

“Large-scale geospatial and temporal dataset”


Fabian Schindler

“pygeofilter: geospatial filtering made easy”


Felipe Gonzalez

“Finding inequality in public transport mobility patterns for the Metropolitan Region of Buenos Aires”


Giboreau

“Appling Python in Petroleum System Modeling.”


Gregory Wallace

“Display Your Map on a Website Using Geopandas , Folium , Django , and Heroku”


James Gaboardi

“Likeness: a Python toolkit for connecting the social fabric of place to human dynamics”


Joe Tuccillo

“Likeness: a Python toolkit for connecting the social fabric of place to human dynamics”


Johannes Uhl

“A python-based pipeline for large-scale land cover information extraction from cloud-based historical topographic map collections”


Jonas Meyer

“Accurate visual localization exploiting street-level imagery”


Joris Van den Bossche

“Scaling up vector analysis with Dask-GeoPandas” | “State of GeoPandas ecosystem”


Julia Maddalena

“Quantifying agricultural soil carbon stocks at continent scale using a modern Python big data and ML framework”


Krista Mar

“Mapping a COVID-19 Testing Needs Index”


Luis Lopez

“ITS_LIVE: Simplifying access to global glaciological big data”


Martin Christen

“Applied Semantic Segmentation for Large Scale Aerial Imagery”


Martin Fleischmann

“Learning from the “cool kids”: how academic research can benefit from becoming more like open-source” | “Scaling up vector analysis with Dask-GeoPandas” | “State of GeoPandas ecosystem”


Maxim Danilov

“Geographic web applications on Django framework”


Maxime Liquet

“Easily build interactive and static maps with hvPlot”


Michal Gutowski

“Python static type checking with mypy”


Miki Lombardi

“A recap view on the crowdsourced map for checking supermarket wait times worldwide in 2020”


Moslem Darvishi

“Parking Recommendation Service Using RS & GIS”


Nicola Guglielmi

“Road risk analysis with Google Cloud serverless tools”


Raphael Quast

“EOmaps - Interactive maps in python”


Rémi Braun

“EOReader - Remote-sensing opensource python library for optical and SAR sensors”


Ryan Abernathey

“[WORKSHOP CANCELLED] Pangeo Forge: Crowdsourcing Open Data in the Cloud”


Sanskar

“Robyn: An async web framework written in Rust”


Sebastián Anapolsky

“Finding inequality in public transport mobility patterns for the Metropolitan Region of Buenos Aires”


Shai Sussman

“Population Demographic Tracking and Estimation Tool: A Simulation-Dashboard for Urban Redevelopments.”


Stark, Hans-Jörg Prof.

“Improving GNSS position quality with machine learning approaches”


Stephan Nebiker

“Accurate visual localization exploiting street-level imagery”


Sumedh Ghatage

“Predicting urban heat islands in Calgary”


Sylvia Schmitz

“Explorative Analysis and Visualization of High-dimensional Remote Sensing Data Using UMAP”


Szymon

“The Deconvolution of the Aggregated Data into the Fine-Scale Blocks with Pyinterpolate”


Thomas Gölles

“pointcloudset - Efficient analysis of large datasets of point clouds recorded over time”


Trey Stafford

“QGreenland: automated QGIS data package creation for Greenland”


Victoria Adesoba

“Who Said Wrangling Geospatial Data at Scale was Easy?”