Tag: en_gb

Throughout the week, in workshops, presentations, and project showcases, a consistent theme emerged: QField is not just “the mobile companion to QGIS,” it is production infrastructure for complete field-to-cloud-to-desktop workflows.

It was incredible to see how present QField was throughout FOSS4G 2025 in Auckland. With around 20 presentations and workshops featuring QField, the conference showcased a wide range of real-world, production-grade use cases across many sectors.

What stood out was not just the number of talks, but how consistently QField was presented as a trusted, operational tool rather than an experiment.

The QField Ecosystem in Practice

QGIS Desktop for project design, analysis, and quality assurance QField for field capture, with offline-first capabilities when connectivity is limited QFieldCloud for real-time synchronization, team coordination, and project management Plugins and APIs for integration into broader organizational systems

This ecosystem approach transforms field data collection from an isolated task into an integrated workflow. It’s the difference between “collecting points” and “running a programme.”

QField Day: A Community Deep Dive

Early in the conference, QField Day brought together practitioners, developers, and decision-makers for a focused exploration of the platform’s capabilities. The day emphasized practical implementation—what’s possible now, and what organizations are already achieving in production environments.

Workshops

Complete Lifecycle Management

The QField & QFieldCloud workshop covered the full data collection cycle: project setup in QGIS Desktop, field deployment with QField, synchronization through QFieldCloud, and integration back into desktop workflows for analysis and quality control. Participants worked through the entire pipeline, from initial design to final deliverables.

Field-to-Analysis Integration

One workshop demonstrated the speed of modern field-to-cloud-to-analysis workflows by using Auckland itself as a live laboratory. Participants collected ground truth data with QField, then fed it directly into machine learning workflows running in Digital Earth Pacific’s Jupyter environment.

Plugin Development

For developers, the plugin authoring workshop signaled platform maturity. QField’s plugin framework—built on QML and JavaScript—enables organizations to extend core functionality for specific operational requirements. Custom forms, specialized integrations, and domain-specific interfaces can be developed to address the edge cases that real field programmes encounter.

Operational Workflows: Digital Earth Pacific

• QField participatory mapping integration into Digital Earth Pacific demonstrated the technical workflow connecting field data collection to analysis infrastructure, using Digital Earth Pacific’s open data cube and Jupyter tooling.
• Identifying Forest Invasive Species in Fiji and Tonga Using Machine Learning showed this workflow in action. Field teams collect confirmed invasive species locations using QField, then train detection models using time-series satellite data, iterating with domain experts and local partners to refine results.

Production Deployments

Conservation Operations

Zero Invasive Predators showed QField and QFieldCloud integrated into operational fieldwork for predator eradication programmes across New Zealand. Planning happens in QGIS, capture in QField, and coordination through QFieldCloud—enabling systematic management of conservation campaigns across remote terrain.

Government-Scale Implementation

Finland’s National Land Survey presented their use of QField as part of national topographic data production infrastructure, deployed alongside QGIS and PostGIS. This represents enterprise validation: a national mapping agency selecting QField for production topographic surveying.

Precision Agriculture

Smart vineyards with QGIS & QField demonstrated advanced symbology, map themes, and structured capture workflows supporting precision agriculture operations—showing that the platform handles the level of detail and complexity that professional workflows require.

Developer Infrastructure and Sustainability

• QFieldCloud API — programmatic integration for organizations with existing systems, enabling automation, custom integrations, and connection to enterprise infrastructure
• Who Pays Your Bills? — a transparent discussion of sustainable open-source business models
• [Re]discover QField[Cloud] — platform maturity often manifests as steady capability growth driven by real field workflows

Context: Open Tools for Public Good

• Mapping the World, Empowering People: QField’s Vision in Practice connected QField’s technical capabilities to public-good outcomes
• Open-source road infrastructure management and digital twin direction demonstrated that open standards and open tooling are increasingly part of serious infrastructure conversations

Looking Forward

FOSS4G 2025 Auckland was all about the conversations, and our small booth quickly became a popular meeting point — the QField caps were gone within half a day. We demonstrated the tight integration of Happy Mini Q GNSS with QField, showing how sub-centimeter positioning can be used seamlessly in real field workflows. The booth also featured EGENIOUSS, an EU project where QField complements GNSS with visual localisation for accurate positioning in challenging environments like urban canyons.

Thank you to everyone who shared your workflows, challenges, and stories — whether in presentations, workshops, or over coffee. These conversations remind us that we’re building tools for real people doing important work, and that’s what keeps this community moving forward together.

Just in time for the end of 2025, QField 4.0 is now available in a virtual store near you. This release brings significant improvements and marks an important usability milestone, worthy of a new major version. It’s truly never been easier to get started with QField—whether you’re a seasoned GIS professional or new to spatial data collection.

Main highlights

One of the most significant feature additions in this new version is right there on the welcome screen: a simple wizard for creating new projects. The wizard guides users through a set of questions covering the desired basemap style and actions such as note taking and position tracking. These projects can be published directly on QFieldCloud, so users can upload images, notes, and tracks that are accessible through web browsers or QGIS using QFieldSync.

The project creation framework also unlocked another feature we’re proud of: on-the-fly conversion of imported projects to cloud projects. The ability to upgrade pre-existing projects to cloud projects means that users can push spatial data and attachments residing on their devices to QFieldCloud and instantly collaborate with coworkers.

On the QFieldCloud front, we’ve done significant code refactoring to make synchronization and attachment uploads even more reliable. Users now see a progress bar showing attachment upload status.

The cloud projects list also lets users push changes and sync projects without opening them first. Indicator badges show whether you have pending local changes or if updates are available from the cloud.

A leaner, clearer, and more focused user interface

Early on in this development cycle, our ninjas decided to make a significant leap forward with QField’s UX focusing on making the user interface leaner when possible, clearer when needed, and more focused throughout. 

QField now has a vastly more readable feature form when viewing feature attributes. We’ve also made the interface more consistent by updating all editor widgets to use Qt’s Material style, so comboboxes, text fields, and other elements now have a unified look.

We’ve also simplified the user experience around positioning. The map canvas now has a single positioning button at the bottom right. Click the location marker overlay to reveal a new pie menu with quick access to positioning features: start tracking sessions, copy position to clipboard, show the positioning panel, lock the coordinate cursor to position, lock the map canvas to position, and add bookmarks at your position.

Now when users set accuracy thresholds, tracking sessions and averaged positioning will automatically filter out “bad accuracy” readings.

QField also animates transitions when jumping to your GNSS position, features, or coordinates, making navigation feel smoother and more intuitive.

Wait, there’s more

Beyond these major improvements, QField 4.0 includes tons of new features:

• Multilingual projects – a feature we added to QGIS several years ago – are now supported in QField
• When connected to the internet, QField now displays online legend graphics for WMS and Esri map services, providing crucial context for field users
• Additional feature form widgets are now supported, including the spacer widget and color editor widget, further improving interoperability with QGIS

A complete list of changes is available in the QField release notes on GitHub.

A new release cycle focused on water bodies

With the QField 4.X series, we’re introducing a new naming theme focused on water bodies.

Oceans, rivers, lakes, wetlands, and coastal waters are fundamental to life on Earth. They provide drinking water, support ecosystems and agriculture, regulate climate, and sustain communities worldwide. Yet these vital resources are increasingly under pressure from pollution, overuse, and climate change.

At OPENGIS.ch, we believe that better spatial data leads to better decisions. By making field data collection easier and more accessible, we aim to support those working to understand, protect, and manage these fragile systems. Dedicating this release cycle to water bodies reflects our commitment to using technology responsibly and connects naturally with the United Nations Sustainable Development Goals, which we consistently strive to support through our work.

For the first release in this cycle, we chose a water body of particular significance to QField: Switzerland’s longest river entirely within the country, Aare.

As always, we hope you enjoy this new release.
Happy field mapping!

Just in time for the end of 2025, QField 4.0 is now available in a virtual store near you. This release brings significant improvements and marks an important usability milestone, worthy of a new major version. It’s truly never been easier to get started with QField - whether you’re a seasoned GIS professional or new to spatial data collection.

Main highlights

One of the most significant feature additions in this new version is right there on the welcome screen: a simple wizard for creating new projects. The wizard guides users through a set of questions covering the desired basemap style and actions such as note taking and position tracking. These projects can be published directly on QFieldCloud, so users can upload images, notes, and tracks that are accessible through web browsers or QGIS using QFieldSync.

The project creation framework also unlocked another feature we’re proud of: on-the-fly conversion of imported projects to cloud projects. The ability to upgrade pre-existing projects to cloud projects means that users can push spatial data and attachments residing on their devices to QFieldCloud and instantly collaborate with coworkers.

On the QFieldCloud front, we’ve done significant code refactoring to make synchronization and attachment uploads even more reliable. Users now see a progress bar showing attachment upload status.

The cloud projects list also lets users push changes and sync projects without opening them first. Indicator badges show whether you have pending local changes or if updates are available from the cloud.

A leaner, clearer, and more focused user interface

Early on in this development cycle, our ninjas decided to make a significant leap forward with QField’s UX focusing on making the user interface leaner when possible, clearer when needed, and more focused throughout.

QField now has a vastly more readable feature form when viewing feature attributes. We’ve also made the interface more consistent by updating all editor widgets to use Qt’s Material style, so comboboxes, text fields, and other elements now have a unified look.

We’ve also simplified the user experience around positioning. The map canvas now has a single positioning button at the bottom right. Click the location marker overlay to reveal a new pie menu with quick access to positioning features: start tracking sessions, copy position to clipboard, show the positioning panel, lock the coordinate cursor to position, lock the map canvas to position, and add bookmarks at your position.

Now when users set accuracy thresholds, tracking sessions and averaged positioning will automatically filter out “bad accuracy” readings.

QField also animates transitions when jumping to your GNSS position, features, or coordinates, making navigation feel smoother and more intuitive.

Wait, there’s more

Beyond these major improvements, QField 4.0 includes tons of new features:

• Multilingual projects - a feature we added to QGIS several years ago - are now supported in QField
• When connected to the internet, QField now displays online legend graphics for WMS and Esri map services, providing crucial context for field users
• Additional feature form widgets are now supported, including the spacer widget and color editor widget, further improving interoperability with QGIS

A complete list of changes is available in the QField release notes on GitHub.

A new release cycle focused on water bodies

With the QField 4.X series, we’re introducing a new naming theme focused on water bodies.

Oceans, rivers, lakes, wetlands, and coastal waters are fundamental to life on Earth. They provide drinking water, support ecosystems and agriculture, regulate climate, and sustain communities worldwide. Yet these vital resources are increasingly under pressure from pollution, overuse, and climate change.

At OPENGIS.ch, we believe that better spatial data leads to better decisions. By making field data collection easier and more accessible, we aim to support those working to understand, protect, and manage these fragile systems. Dedicating this release cycle to water bodies reflects our commitment to using technology responsibly and connects naturally with the United Nations Sustainable Development Goals, which we consistently strive to support through our work.

For the first release in this cycle, we chose a water body of particular significance to QField: Switzerland’s longest river entirely within the country, Aare.

As always, we hope you enjoy this new release.

Happy field mapping!

The journey continues: QgsArrowIterator is now merged! This makes it possible to iterate over QgsFeatures as Arrow batches.

This is where we are now, quoting Dewey Dunnington:

import geopandas
from nanoarrow.c_array import allocate_c_array
import qgis
from qgis.core import QgsVectorLayer

# Create a vector layer
layer = QgsVectorLayer("tests/testdata/zonalstatistics/polys.shp", "layer_name", "ogr")
schema = qgis.core.QgsArrowIterator.inferSchema(layer)

it = qgis.core.QgsArrowIterator(layer.getFeatures())
it.setSchema(schema, 1)

c_array = allocate_c_array()
schema.exportToAddress(c_array.schema._addr())
it.nextFeatures(5, c_array._addr())

print(geopandas.GeoDataFrame.from_arrow(c_array))
#> lev3_name                                           geometry
#> 0    poly_1  MULTIPOLYGON (((100.37934 -0.96049, 100.37934 ...
#> 1    poly_2  MULTIPOLYGON (((100.37944 -0.96044, 100.37955 ...
#> 2    poly_3  MULTIPOLYGON (((100.37938 -0.96049, 100.37949 ...

print(geopandas.read_file("tests/testdata/zonalstatistics/polys.shp"))
#> lev3_name                                           geometry
#> 0    poly_1  POLYGON ((100.37934 -0.96049, 100.37934 -0.960...
#> 1    poly_2  POLYGON ((100.37944 -0.96044, 100.37955 -0.960...
#> 2    poly_3  POLYGON ((100.37938 -0.96049, 100.37949 -0.960...

Further improvements are already being planned. To quote from the ticket:

“The final state after this improvement would be a compact way for Arrow Python consumers like GeoPandas to ergonomically consume a layer. Maybe:

geopandas.GeoDataFrame.from_arrow(qgis_layer_object)

Or maybe:

geopandas.GeoDataFrame.from_arrow(qgis_layer_object.getArrowStream())

Looking forward to seeing this develop further.

Credits : Bru-nO (Pixabay Content License)

Thanks to funding from the Bordeaux Metropolis, I had the chance to work on CMYK (Cyan Magenta Yellow blacK) support in QGIS. The metropolis’ goal is to remove the last barrier preventing their complete migration from ArcGIS to QGIS.

The developments are now complete and will be available in QGIS version 3.40, scheduled for release in October 2024, before becoming the next LTR in February 2025. It should be noted, however, that CMYK support will only be complete in QGIS versions built with Qt 6 (still unofficial version) for reasons explained in the article. On Windows, this version can currently only be installed using OSGeo4W (qgis-qt6-dev version).

EDIT: Actually, QGIS version built with Qt 6.8, which ships the needed modifications for CMYK PDF export, is not yet released. More information here.

What is CMYK?

You probably know RGB, which allows you to code a color on screen by choosing the amount of red, green and blue in that color. You may also use TSL or TSV.

RVB – Credits : Daniel Roberts (Pixabay Content License)

These 3 color references allow a color to be coded for a screen, while CMYK targets printers by allowing to set the exact quantity of ink that will be released during printing (hence the 4 CMYK components, one per ink cartridge).

CMYK ( here from left to right KCMY ) – Credits : Magnascan (Pixabay Content License)

The characteristics of CMYK differ greatly from RGB, it’s considered a subtractive colorimetric mode, because the ink absorbs light unlike RGB which is said to be additive, the more red, green, blue you have the closer you are to full light, white.

The intrinsically different nature of these 2 color spaces means that it is strongly advised not to convert from one to the other. The best is to choose a color in a space (CMYK for printing, RGB for rendering on screen) and stick to it.

Worse, printing the same color is different depending on the printer, ink, paper… The choice of a CMYK color has to be done in a color space, represented by a ICC profile file, provided by your printer. It is a bit like a color chart used when choosing paint.

Now you can argue about the REALLY good color of a road line – Credits : Yanis Ladjouzi (Pixabay Content License)

Developments in QGIS… and Qt

It is now possible in QGIS to:

• Enter colors in CMYK format, and in floating precision;
• Define your preferred color mode (RGB or CMYK) and your color space;
• Generate a file in PDF/X-4 format (ready for printing) embedding a color space and using CMYK colors;
• Allow the expression engine to manipulate CMYK colors without converting them to RGB;
• Manage CMYK color ramps;
• Lots of other small improvements and corrections about color management.

Selecting colors in QGIS in CMYK

The beautiful story of Open source

I took great pleasure in participating in this development because it is the result of the collaboration of many players in free software.

During a first phase of study concerning the support of CMYK in QGIS, we quickly identified that Qt, the framework used by QGIS for rendering maps, has limitations. It converts all colors to RGB when rendering maps in PDF format and its support for CMYK color spaces is incomplete.

It is therefore necessary to make it evolve. We therefore turn to our preferred partner when it comes to Qt, KDAB, and more precisely Giuseppe D’Angelo who then carries out the necessary developments.

Regarding new features, these are only available in Qt 6 (Qt 5 is end of life). This is why CMYK support is incomplete in official versions of QGIS still based on Qt 5.

QGIS.org, the association that oversees the QGIS project, decided to fund the developments on Qt. Oslandia, on the other hand would have to manage these developments and then to carry out the integration in QGIS. This integration as well as the related new features was funded by the Bordeaux metropolis.

My developments were then reviewed by other QGIS contributors. (If you want to know more about the QGIS contribution process, you can read a previous blog post about software quality in QGIS)

Finally, I wanted to give a special thanks to Jehan, developer on the GIMP project. His availability and thoroughness in our mail exchanges greatly helped me understand the technical and functional issues of CMYK, and most certainly contributed to the quality of the result.

Next

QGIS 3.40 will therefore be able to generate a PDF/X-4 file using CMYK colors. Qt, for its part, improves CMYK support, PDF writing, and color space management.

Thanks again to the Bordeaux metropolis and QGIS.org for funding these developments, and all the people involved in their realization.

We would be delighted to have feedback from users on your use cases related to color management in QGIS. Do not hesitate to write to us or comment on our posts to tell us how you use these features.

These foundations in the management of color spaces in QGIS open the door to future improvements. If you are interested in this topic and would like to contribute, please contact us at [email protected] and check out our QGIS support offer.

A hydraulic engineer by training, Nicolas Godet has been working at ISL Ingénierie for just over seven years and holds the position of hydraulic project manager (flood risk, hydraulic structure safety), deputy director of the Saint-Jean-de-Luz facility, and QGIS (and GIS in general) advisor.

He discusses the implementation of QDT and the associated methodology for deploying QGIS across ISL’s IT infrastructure.

What are the objectives of the collaboration?

Before I took charge of deploying QGIS at ISL, it was a bit of a mess: no one had the same version, the same plugins, or the same practices.
Following the switch to QGIS3, there was a desire to standardize the QGIS fleet at ISL to have the same version, the same plugin base, and preconfigured profiles.

An initial, semi-homemade solution was implemented in 2022, but it proved difficult to maintain.

At the end of 2024, with a budget allocated, we decided to seek assistance from Oslandia to professionalize our QGIS deployment so that every employee would be using the same version:

• facilitate project sharing within ISL and with our clients,
• have a common and up-to-date plugin base,
• benefit from advanced pre-configuration of user profiles.

The ultimate goal was to be able to update QGIS without disrupting all the configurations.

What challenges does this project address?

The challenge was to be able to keep up with developments in QGIS while retaining profile configurations. Having attended a few presentations (QGIS Days), I had heard about QDT. After preliminary discussions with Oslandia (and in particular with Julien Moura), we agreed to go ahead with customized training. This customized training allowed us to adapt the content to our needs.

How did the collaboration with Oslandia go?

The Oslandia teams are attentive, adapt to our needs, which are not always simple, and were able to offer us tailor-made training.

We decided to have four half-days spread out over several weeks, allowing us to cover the theory and a few examples during the half-day, then work on our own and come back to the next session with questions and ask for more in-depth coverage of certain points rather than others.
There’s not much else to add except that it went very well!

Since this training, ISL has been able to invest in QDT.