Saber Razmjooei

This workshop provides a hands-on guide to the complete field data collection workflow using QGIS and Mergin Maps. Participants will learn how to configure QGIS projects, set up background maps, smart forms, and tracking tools for offline use.

Digital Twins are becoming a standard requirement for urban planning and infrastructure, but the software landscape is still dominated by expensive, proprietary systems.

The ever-increasing volume of geospatial data presents challenges in discovery, access, and utilization. The Spatio-Temporal Asset Catalog (STAC) standard offers a standardized approach to describing and accessing spatiotemporal assets.

Mergin Maps simplifies field data collection, offering an open-source platform built on the power and familiarity of QGIS. Capture, share, and publish your geospatial data seamlessly with intuitive mobile apps and robust web tools.

QGIS 3d capabilities keep improving. In this talk, we will look at the recent changes and enhancements in QGIS to handle point clouds and elevation data. There is a new data provider (quantized mesh) and also a major enhancement to view "globe" in 3D.

Mergin Maps simplifies field data collection, offering an open-source platform built on the power and familiarity of QGIS. Capture, share, and publish your geospatial data seamlessly with intuitive mobile apps and robust web tools.

Imagine the analytical capabilities of QGIS, the popular desktop GIS software, readily accessible in your web browser. With QGIS WebAssembly, that vision becomes reality.

Since we have introduced QGIS 3D in 2017, it has gone through major improvements. In addition to new features, several new data formats have been also integrated to QGIS.

Using open source software, users will be able to collect data from their mobile devices collaboratively with other participants and bring the data back in QGIS.

Mesh Abstraction Library (MDAL) has become an integral part of QGIS over the recent years. MDAL is used in QGIS to parse meteorological and hydrological data. MDAL is an open source library and recently has joined the OSGeo family as a Community project.