In this hands-on course, learn how to use Python to work with OGC Web Services such as WMS, WFS, and WCS. You’ll discover how to retrieve, analyze, and visualize geographic data using popular Python libraries such as OWSLib, GeoPandas, and Folium
Python
In this hands-on course, learn how to use Python to work with OGC Web Services such as WMS, WFS, and WCS. You’ll discover how to retrieve, analyze, and visualize geographic data using popular Python libraries such as OWSLib, GeoPandas, and Folium
In a world where spatial data is becoming increasingly important, OGC Web Services (such as WMS, WFS, and WCS) form the backbone of modern geodata exchange. These open standards, developed by the Open Geospatial Consortium (OGC), enable geographic information to be shared in a standardized way between systems, organizations, and applications. Combined with Python, a powerful and accessible programming language, this creates a unique platform for automating, analyzing, and visualizing spatial data.
The integration of Python and OGC Web Services allows you to access, edit, and visualize geographic data directly from online sources. With libraries such as OWSLib, GeoPandas, and Folium, you can retrieve WMS maps, download and process WFS data, and build interactive map applications. This makes the combination of Python and OGC Web Services ideal for GIS professionals, data analysts, and developers who want to implement automated workflows and data-driven solutions.
The Python and OGC Web Services course at Geo-ICT offers a hands-on learning experience where you’ll learn to work with the most important web standards for geographic data. Whether you want to understand how web services work, use data from OGC sources in your Python scripts, or develop your own automated applications—this course is the perfect starting point.
Please note! Basic Python knowledge is required for this course.
In the geospatial domain, OGC Web Services are indispensable for making geodata accessible. They serve as the link between data sources and applications, enabling spatial information to be shared and analyzed worldwide. Python enhances these capabilities by adding the power of automation and data analysis.
OGC Web Services:
Python:
Together, OGC Web Services and Python offer a flexible, open, and scalable environment for modern geodata analysis.
1. Understanding OGC Standards:
Learn exactly what WMS, WFS, and WCS do, and how they are used within GIS systems and web applications.
2. Connecting to Web Services:
Use Python and the OWSLib library to retrieve data from public and private OGC services.
3. Data analysis and processing:
Discover how to read, filter, and analyze geographic data using GeoPandas and Shapely.
4. Visualization of geodata:
Create interactive maps with Folium or plot static visualizations with Matplotlib.
5. Automating workflows:
Learn how to automate recurring tasks such as data updates and map generation using Python scripts.
This course combines theory with many practical exercises, so you’ll immediately learn how to effectively use web services in your own GIS or data analysis projects.
The course at Geo-ICT was developed by specialists with years of experience in both GIS and software development. The training offers:
Whether you work as a GIS specialist, data engineer, or developer, this course will help you work smarter and more efficiently with geographic data using open web standards.
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Contact usDuring the Python and OGC Web Services course day, you’ll take a step-by-step approach to accessing, processing, and visualizing geographic data via the web. The day begins with a brief introduction to OGC standards—you’ll learn what WMS, WFS, and WCS are, how they work, and why they’re so important in modern GIS systems.
Then you’ll dive into Python. You’ll learn how to connect to a WMS or WFS server using the OWSLib library and how to retrieve data. You’ll practice fetching map layers, viewing metadata, and downloading specific geographic objects.
In the second part of the day, you’ll learn how to further process this data. Using GeoPandas and Shapely, you’ll analyze vector files, filter features based on attributes, and perform simple spatial operations. You’ll then use Folium to create interactive maps, making your results immediately visually clear.
The course day concludes with a practical exercise in which you apply everything you’ve learned in a small workflow: from retrieving data via a WFS to displaying the results in an interactive web map. By the end of the day, you’ll not only understand how OGC Web Services work, but also have the practical skills to use them with Python in your own projects.
Do you have questions about the course content? Or are you unsure whether the course aligns with your learning goals or preferences? Would you prefer an in-house or private course? We’d be happy to help.
You will learn how to use Python to connect to OGC Web Services (such as WMS, WFS, and WCS), and how to retrieve, analyze, and visualize geographic data using libraries like OWSLib, GeoPandas, and Folium.
OGC Web Services enable the standardized exchange of geographic data between different systems. They form the foundation of many modern geoportals and applications, making collaboration and data sharing easier.
After completing the course, you will be able to work independently with online geoservices, automate data processing using Python scripts, and create interactive maps. You will gain insight into both the technical workings and the practical applications of web services.
The course is designed for GIS specialists, data analysts, and geoinformatics professionals who work with open geodata and want to use their Python skills to utilize and automate web services.
