Python Machine Learning Conference & GeoPython 2020

Fatemehalsadat Afsahhosseini

»Understanding GIS fundamentals and perform remote sensing data analysis using Python 3.7«


Michael Turner

»3D Ground Modelling in the Civil Engineering Industry: An Open-Source Workflow«


Francesco Bartoli

»pygeoapi: an OSGeo community project implementing OGC API standards«


Achmad Fauzi Bagus FIrmansyah

»Using Google Earth Engine Python API and XGBoost for Built-up classification«


Hans-Jörg Stark

»Teaching Geodataprocessing with Python«


Nikolai Janakiev

»Scalable Geospatial Data Science with Python and Open Source Projects«


Daniel García Díaz

»Complete Python package to monitor water quality using remote sensing«


Shubham Sharma

»Microwave Image Processing: Exploring SAR images from Foundations to Frontiers through Python«


Shivashis Padhi

»End-to-end processing of satellite imagery data with Python«


Ashita Prasad

»Applied Machine Learning in Python using scikit-learn, mlxtend and pandas«


Ankit Mahato

»Democratizing Machine Learning Model Development«


Niccolo Dejito

»Getting Started with Google Earth Engine for Python«


Martí Bosch

»A reusable computational workflow to assess urban heat islands in Python«


Dimitris Politikos

»Deep Learning for automating fish age from otolith images«


Panagiotis Kountouris

»Visualizing the sea ice of tomorrow - Converting Sentinel-1 radar images into high resolution forecast«


Ms Stella Mutai

»Analysis of burnt scar using optical and radar satellite data«


Sara Ortega van Vloten

»Statistical prediction of Monthly Sea Level«


Marc Compte

»Teaching GeoPython remotely at UNIGIS Girona«


César Ariel Pérez Mercado

»Performing Exploratory Spatial Data Analysis on Bolivia's 2019 election data«


Martin Fleischmann

»On the morphological composition of cities and how to measure it«


Lucas van der Meer

»A semantic querying system for Earth observation imagery«


Joris Van den Bossche

»Shapely 2.0: an improved foundation for GeoPandas and the Python geospatial ecosystem«


Sayantan Das

»Using Attention Mechanisms in Hyperspectral Band Selection«


Max Gardner

»Gaps in the Grid: The Promises, Pitfalls, and Resurgence of Discrete Global Grids in Modern Geospatial Analysis«


Dinu Gherman

»XYZ, a now Python-friendly geospatial data management service«


Florian Krebs

»Stream cross-section data from high resolution elevation data (crossections v0.1)«


Just van den Broecke

»pygeoapi: an OSGeo community project implementing OGC API standards«


Magnus Heitzler

»Deep Learning for Cartographic Terrain Shading«


Ingrid Fausk

»Satellite Orbits in Python«


Laurent Picard

»Building smarter solutions with no expertise in machine learning«


Wojciech Dudzik

»How to become painter with ML and iOS → Kunster app«


Alba Ricondo

»Hybrid Downscaling of Swells in Small Islands«


Fernando J. Mendez

»TESLA-kit: An open-source python-based library for coastal risk assessment in a changing climate«


Shubham Goel

»Hurricane Damage Estimation using Siamese Networks«


Stefanie Lumnitz

»Creating open collaboration in the cloud with ESA's BIOMASS Multi-Mission Analysis and Algorithm Platform (MAAP)«


Ozan Tunçbilek

»Geo data Visualisation of Twitter Users in Istanbul«


Adrian Meyer

»Detecting and Analyzing Solar Panels in Switzerland using Aerial Imagery«


Omkar Mestry

»Turfpy a new way to do spatial analysis in Python«


Danilo de Lima

»Vision Computer with FME ETL«


Josep Sitjar

»Analyzing COVID-19 using Python and remote sensing images«


sangarshanan

»Interactive Mapmaking with Python«


Vinícius Cruvinel Rêgo

»What about make it easier? An introduction about building WebMaps with Django and ArcGIS API for Python«


Miroslav Šedivý

»Python, Let's Go Home. Quickly.«


Martin Christen

»Opening Session Day 2« | »Deep Learning for Augmented Reality«