Get data layer names from WFS service URL - Case Study Template to be reused for any new FAIR2Adapt Case Study

Introduction¶

The WFS (Web Feature Service) from the Urban Data Portal provides access to geospatial vector data—such as flood zones, land use, and industrial facilities—allowing users to query, download, and integrate these datasets into applications and analyses directly via standardized web protocols.

Purpose¶

This code connects to the WFS service from the Saarland Urban Data Portal and retrieves the list of available typeName values (i.e. data layers), which are needed to query specific datasets such as flood zones or industrial facilities.

Requirements¶

Start installing and importing the necessary libraries

Install Python Packages¶

pip install owslib pyproj

Import Python Packages¶

from owslib.wfs import WebFeatureService

Input data required¶

Set input parameters for WFS request¶

wfs_url: str = (
    "https://geoportal.saarland.de/arcgis/services/Internet/Hochwasser_WFS/MapServer/WFSServer?&request=GetCapabilities&VERSION=1.1.0&SERVICE=WFS"
)

Get the different data layers (typename)¶

try:
    # Connect to WFS service
    wfs = WebFeatureService(wfs_url)

    # List all typeName values
    print("Available typeName values:")
    for typename in wfs.contents:
        print(typename)

except Exception as e:
    print(f"Error: {e}")

Case Study Template

Get data from the Hamburg Urban Data Portal using WFS