Christoph Rieke
chrieke
Geospatial Data Scientist
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Python
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Top Repositories
π°οΈ List of satellite image training datasets with annotations for computer vision and deep learning
πΌοΈ Create beautiful maps from OpenStreetMap data in a streamlit webapp
:globe_with_meridians: List & Map of 700+ companies for geospatial jobs (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)
π± Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis
πΎ Streamlit Component for rendering kepler.gl maps
πΊοΈ List of GeoJSON invalid geometry issues with example files
Repositories
41No description provided.
π°οΈ List of satellite image training datasets with annotations for computer vision and deep learning
:globe_with_meridians: List & Map of 700+ companies for geospatial jobs (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)
π± Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis
πΌοΈ Create beautiful maps from OpenStreetMap data in a streamlit webapp
πΊοΈ List of GeoJSON invalid geometry issues with example files
π οΈ Validate GeoJSON and automatically fix invalid geometries
π§ Iceberg locations on S3, weekly updated via AWS lambda
π A mkdocs plugin that excludes selected chapters from the docs search index.
πΎ Streamlit Component for rendering kepler.gl maps
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
my webpage
No description provided.
Python implementation of some simple algorithms for pansharpening remote sensing images
Personal website
No description provided.
Google Earth Engine side projects and tutorial scripts
βConvenience functions for geospatial & cv
Python Package for Airborne RGB machine learning
:earth_americas: Python SDK for UP42, the geospatial marketplace and developer platform.
Satellite Stereo Pipeline
This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on Aerial Lidar".
Serverless Streamlit
GeoJSON utilities that will make your life easier.
An automated insulin delivery app template for iOS, built on LoopKit
Specifying a conda environment with `environment.yml`
π΄ββ οΈ Streamlit app that generates pirate treasure maps.
π Query the Google Calendar API & visualize meeting habits & interactions
π A comparison of multiple geocoders - streamlit webapp.