Open in app

Sign in

Write

Sign in

Christoph Rieke
Christoph Rieke

713 Followers

Home

About

Pinned

Essential geospatial Python libraries

This is a quick overview of essential Python libraries for working with geospatial data. What I think might be valuable for newcomers in this field is some insight on how these libraries interact and are connected. Shapely and Geopandas When dealing with geometry data, there is just no alternative to the functionality of…

Data Science

3 min read

Essential geospatial Python libraries
Essential geospatial Python libraries
Data Science

3 min read


Aug 22

Start your Geospatial Career

This article shares some guidance and resources for starting a career in the geospatial field. The focus is on learning about jobs & companies, building your profile, finding role models & going to conferences. I also want to share some personal experience to make it clear that no one has…

Geospatial

8 min read

Start your geospatial career
Start your geospatial career
Geospatial

8 min read


Aug 29, 2022

Querying calendar events via the Google Calendar API

Do you want to pull all meetings & events from your or any shared Google calendar via the Google calendar API in Python? This blogpost provides step-for-step instructions on how to setup authentication, request calendar events and handle the pagination token. For the full code, check the calendar-insights repository. Setup Google Calendar API First…

Google

4 min read

Querying calendar events via the Google Calendar API
Querying calendar events via the Google Calendar API
Google

4 min read


Aug 1, 2021

Thermal imaging with satellites

Recent funding rounds of startups focused on thermal remote sensing made me much more curious about this field. Here is a quick introduction to thermal imaging, applications and thermal satellite startups. Thermal imaging We have all seen some examples of on the ground thermal imaging, e.g. to inspect building insulation or a…

Thermal

3 min read

Thermal imaging with satellites
Thermal imaging with satellites
Thermal

3 min read


Nov 17, 2020

The best MkDocs plugins and customizations

MkDocs, the powerful and easy-to-use documentation framework, gets even better when using its community developed plugins. This article shows some of the best customization options and plugins for e.g. diagrams, code reference, notebook integration, macros, pdf generation etc. mkdocs-material & pymarkdown extensions Lets start with some general mkdocs features before exploring the plugins. For…

Mkdocs

4 min read

The best MkDocs plugins and customizations
The best MkDocs plugins and customizations
Mkdocs

4 min read


Aug 22, 2020

Documenting a Python package with mkdocs-material

This article shows how to create a Python package documentation with code reference via mkdocs-material. This documentation framework is beautiful out of the box, powerful but simple to configure and customise, and it uses Markdown! It offers a great alternative to the popular Sphinx docs. There are a lot of…

Documentation

4 min read

Documenting a Python package via mkdocs-material
Documenting a Python package via mkdocs-material
Documentation

4 min read


Published in

UP42

·Jan 14, 2020

Air Pollution—Using Sentinel-5P to Monitor the Atmosphere

An overview of Sentinel-5P and Level-2 & Level-3 processing explained — Air pollution rapidly increases the risk of environmental health problems, affecting society in all parts of the developed and developing worlds. Recent findings show if you live within 50 meters of a major road, your risk of lung cancer can increase by up to 10%. …

Satellite

5 min read

Air pollution: Using Sentinel-5P to monitor the atmosphere
Air pollution: Using Sentinel-5P to monitor the atmosphere
Satellite

5 min read


Jan 3, 2020

Tutorial: UAV landcover classification with fastai & Google Colab

This tutorial lets you train a land cover classification model with high-resolution Dronedeploy UAV imagery using fastai and Google Colab. No requirements, in-browser, with a GPU. Dronedeploy recently released the “DroneDeploy Machine Learning Segmentation” dataset and baseline model. The dataset consists of super crisp 10cm resolution UAV images for 51…

Drones

5 min read

Tutorial: UAV land cover classification with fastai & Google Colab
Tutorial: UAV land cover classification with fastai & Google Colab
Drones

5 min read


Apr 15, 2019

Howto: Install Python for geospatial applications

This Howto gives step for step instructions on setting up a Python 3 environment on Windows with gdal, rasterio, geopandas and other essential geospatial libraries. Installing Python 3.7 with Anaconda for Windows Uninstall any remaining Python Anaconda installations via Start > “Apps & features”. Download the Python 3.7 - 64-Bit Graphical Installer from the Anaconda website. Install…

Python

4 min read

Howto: Install Python for geospatial applications
Howto: Install Python for geospatial applications
Python

4 min read


Aug 12, 2018

Jupyter Tips and Tricks

Just a couple of JupyterLab & Notebook features that I didn’t know a year ago but am now using a lot. Cell execution history As long as your Kernel is active, the code of each executed cell is stored in this input history list. …

Debugging

3 min read

Jupyter Tips and Tricks
Jupyter Tips and Tricks
Debugging

3 min read

Christoph Rieke

Christoph Rieke

713 Followers

geo. space. tech. geopolitics.

Following
  • Sik-Ho Tsang

    Sik-Ho Tsang

  • Planet

    Planet

  • Google Earth

    Google Earth

  • IMPACT Unofficial

    IMPACT Unofficial

  • Mark Johnson

    Mark Johnson

See all (214)

Help

Status

About

Careers

Blog

Privacy

Terms

Text to speech

Teams