Pierre Cothereau
Pierre Cothereau holds a master’s degree in environmental sciences from ETH Zurich, with a focus on forest and landscape management. He has extensive experience in public administration, having worked as a GIS and forest planning specialist for the cantonal authorities of Solothurn and Fribourg in Switzerland. He is currently employed as a geo-IT specialist at Grün Stadt Zürich. In a twist of fate fitting for this QGIS conference, he was awarded the ESRI Young Scholar Award in 2016 for developing a LiDAR classification tool. He is now successfully applying his expertise in the field of vector-based, mobile field mapping with QField.
Session
The City of Zurich is currently conducting a new round of its Habitat Type Mapping (Biotoptypenkartierung – BTK), a long-term monitoring program that assesses the ecological quality of habitats across the city. The survey provides an essential foundation for biodiversity conservation and urban planning and supports the city's goal of increasing the proportion of ecologically valuable habitats in urban areas to 15% by 2040.
This presentation introduces the migration of the mapping workflow from ArcMap to a modern solution based on QGIS, QField and QFieldCloud, developed in close collaboration with OPENGIS.ch.
The session will present the complete workflow, from project preparation in QGIS to field mapping with QField and cloud synchronization through QFieldCloud. It will discuss the technical challenges encountered during the migration, including improving the editing workflow, reducing topological errors, and enabling efficient collaboration between field and office teams.
The presentation will also show how the workflow has been extended with automated quality control. Using FME Form & Flow together with the QFieldCloud REST API, newly synchronized data are validated every night, demonstrating how QGIS-based solutions can integrate seamlessly with existing enterprise systems.
The session aims to provide practical insights for organizations planning similar migrations or developing efficient, scalable workflows for large-scale field data collection.