Crime in New York City (with Tableau dashboard)

Movement trajectory classes and functions built on top of GeoPandas

Library with some less common or extended spatial functions

Python toolbox to process large vector files faster.

This initiative leverages cutting-edge machine learning technique such as Mask R-CNN to automate the identification of buildings in satellite images after disasters. Employing high-resolution Maxar imagery, our models efficiently and accurately pinpoint affected structures, enhancing the speed and effectiveness of emergency responses.

Web application to display the current prices of the gasoline in italian stations.

A Python implementation of observer-based audibility modelling methods

A Python library for fast, interactive geospatial vector data visualization in Jupyter.

M.bovis WGS surveillance tool.

Maps of Sweden in GeoParquet

Global Ecosystem Dynamics Investigation (GEDI) L2A/L2B -> GeoParquet & GeoDataFrame/Xarray

Python package to build, run and visualize MODFLOW 6 groundwater models in the Netherlands.

Thematic mapping technique with Swiss geodata. Python port of a mapping project originally created by Timo Grossenbacher and Benja Zehr.

Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.

Data engineering project for processing whale data from the OBIS api (https://api.obis.org/v3)

Analysis of georeferenced rasters and vectors

A Python package for merging GTFS data with OSM street network in NetworkX, facilitating time-dependent analysis of transport networks.

Geospatial is a comprehensive collection of Python-based tools designed for seamless automation and efficient processing of geospatial data

Python Jupyter notebooks for exploratory reading and visualization (RV) of various geospatial data products and file formats

Machine learning for pre and post-harvest crop stages in Ukraine via satellite Imagery