GeoPython 2021

Abouzar Ramezani

“Spatial analysis of Covid-19 relation with weather parameters”


Alexander Held

“Interpolating Elevation Data inside Tunnel and Bridge Networks”


Alexander Kmoch

“30 Maps in 30 days with Python”


ANASTASAKIS Konstantinos

“Geopythonic processing of massive high resolution Copernicus Sentinel data streams on cloud infrastructure”


Anita Graser

“Exploratory Movement Data Analysis”


Anmol Krishan Sachdeva

“Understanding Qiskit: Quantum by Quantum”


Argyrios Kyrgiazos

“How to Use Spatial Data to Identify CPG Demand Hotspots”


Arjumand Younus

“Improved Crop Yield Prediction through Spatio-Temporal Analysis of Agricultural Data”


Artash Nath

“How I Used Python and Big Data to Measure Seismic Silences during the COVID19 Lockdown?”


Aurelio Vivas

“The Open Data Cube (ODC): a very intuitive tool to store, manage and analyse satellite images data”


César Ariel Pérez Mercado

“Spatial SQL? ...can you say that in Python, please?”


Christian Stade-Schuldt

“Mapquadlib - A Python library that supports multi-level tiled representations of the map of the earth.”


David Montero Loaiza

“eemont: A Python Package that extends Google Earth Engine”


Dimitris Politikos

“Predicting dissolved oxygen in a lagoon using interpretable machine learning”


Guido Lemoine

“Geopythonic processing of massive high resolution Copernicus Sentinel data streams on cloud infrastructure”


izzul

“Curie Point Depth Mapping using PyCurious from Aeromagnetic Data”


Joan Campanyà i Llovet

“Mapping, Monitoring and Forecasting Groundwater Floods in Ireland”


Jyotika Singh

“Audio Signal Processing for Feature Building and Machine Learning”


Kel Markert

“Interactive mapping and analysis of geospatial big data using geemap and Google Earth Engine”


krishna lodha

“Geospatial analysis using python 101”


Kristiaan Joseph

“3D Geological Modelling using GemPy”


Marc Compte

“Building custom web administrators for geographic data driven websites with Django”


Martha Morrissey

“ML-Enabler: Enabling Rapid Machine Learning Inference of School Mapping in Asia, Africa and South America”


Martin Christen

“Creating 3D Terrain Models of Switzerland using Open Data”


Megan Luisa White

“Cal ToxTrack: A Web GIS for Pollution Mapping in California”


Miguel Alvarez

“Predicting Traffic Accident Hotspots with Spatial Data Science”


Miroslav Šedivý

“Should We Return to Python 2?”


Nataraj Dasgupta

“[TALK CANCELLED] Estimating the economic impact of COVID-19 using real-time images from space”


Norman Barker

“Universal geospatial data storage with TileDB: No more file formats”


Paolo Melchiorre

“Maps with Django”


Peter Fogh

“Crop yield prognosis using ML and EO data”


Qiusheng Wu

“Interactive mapping and analysis of geospatial big data using geemap and Google Earth Engine”


Sebastian Foertsch

“The Bavarian Open Data Cube”


Sebastian M. Ernst

“On the role of packaging in GIS, or: How to drive computer clusters and GPUs from within desktop GUI applications for non-technical users”


stefano bagli

“SaferPLACES platform: a GeoPython-based climate service addressing urban flooding hazard and risk.”


Steven Hill

“The Bavarian Open Data Cube”


Szymon Moliński

“Pyinterpolate - Python package for spatial interpolation and deconvolution of areal data”


Thomas Chen

“Deep learning-based remote sensing for disaster relief with Python”


Topi Tjukanov

“30 Maps in 30 days with Python”


Ujaval Gandhi

“Travel Time Prediction for Urban Travel using Uber Movement and OpenStreetMap”


Vinícius Cruvinel Rêgo

“Bins! An easy path to make them using Fast API, PostGIS and JavaScript”


Vishnu Prasad J S

“Travel Time Prediction for Urban Travel using Uber Movement and OpenStreetMap”


Ye Hong

“Trackintel: An open-source python library for human mobility modeling and analysis”


Yehuda Horn

“The power of "Where" - Location data in Moovit”


Zoltan Siki

“Python in QGIS”