FOSS4G SOTM Oceania 2023

The QGIS Model Designer is a powerful tool that we can use to define a workflow and run a chain of algorithms (a processing model). In this workshop we will create a processing model in the QGIS Model Designer and learn how to effectively use some of the features.

A normal session with the processing framework tools includes more than running a single algorithm. Usually several of them are run to obtain a result, and the outputs of some of those algorithms are used as input for some of the other ones. Using the QGIS Model Designer, that workflow can be put into a processing model, which will run all the necessary algorithms in a single run, thus simplifying the whole process and automating it. In this workshop we will create a processing model in the QGIS Model Designer that displays buildings affected by some event within a distance from an event location. The affected buildings are determined by: - Clicking a point on the map canvas to define an event location, - Traveling a distance along the road network from the event location, - Buffering the travel distance to intersect land parcels, - Extracting building footprints that that intersect the land parcels. **Prerequisite skills:** - Attendees should have some familiarity with QGIS **Preparation required:** - Laptop - QGIS LTR or 3.32+ installed https://www.qgis.org/en/site/ **Book your ticket here:** https://ti.to/osgeo-oceania/foss4g-sotm-oceania-2023-workshops. *A total of 25 spaces are available.*

Learn how to run a multi-tiered auto scaled Geoserver environment in a container based serverless deployment on Amazon Web Services (AWS).

This lab will introduce running GeoServer on AWS. GeoServer is an OGC compliant implementation of a number of open standards including Web Feature Service (WFS), Web Map Service (WMS), and Web Coverage Service (WCS). The workshop will walk you through the steps required to launch the Geoserver standard docker distribution and host this on AWS Fargate. AWS Fargate is a serverless, pay-as-you-go compute engine that lets you focus on building applications without managing servers. GeoServer can leverage a variety of data sources including PostgreSQL/PostGIS. PostGIS is a spatial database extender for the PostgreSQL object-relational database. With AWS support for PostgreSQL/PostGIS available in Aurora Serverless we will explore connecting GeoServer to a PostgreSQL source to illustrate a multi-tier architecture. We will explore scaling out the GeoServer web tier and including a shared file service using Elastic File Service (EFS). Audience will be Geoserver admins/users that are interested in running Geoserver on AWS in a highly available fashion with minimal server management needs. **Prerequisite skills:** - Attendees should have an AWS account and some familiarity with the AWS console. **Preparation required:** - You will need an AWS account. - Bring your laptop for this hands-on session. - Be able to log into the provided Wi-Fi **Book your ticket here:** https://ti.to/osgeo-oceania/foss4g-sotm-oceania-2023-workshops. *A total of 25 spaces are available.*

Learn how to build, customise and brand your own 3D web map with a curated set of spatial data. Your own geospatial data explorer where you can present spatial data and stories to others via easy to access share links.

The workshop will require some basic familiarity with programming, but this will be mostly limited to editing configuration files and we will help participants at any level. Participants should bring a laptop with VSCode https://code.visualstudio.com/ installed or another code editor that you are comfortable with. We will clone the Terriajs and TerriaMap git repositories to your local machine, edit the configuration, add links to your desired datasets, and get the map running locally on your machine. For advanced users, we will attempt to deploy your solution to the web as a functional web map that you can take away and use. TerriaJS https://terria.io/ is an open-source framework for web-based geospatial catalogue explorers and is the backbone of many web mapping products including NationalMap https://nationalmap.gov.au/ and Digital Twin Victoria https://vic.digitaltwin.terria.io/ . **Prerequisite skills:** - Attendees will require some basic familiarity with programming **Preparation required:** - Bring a laptop with VSCode https://code.visualstudio.com/ (or another code editor that you are comfortable with) **Book your ticket here:** https://ti.to/osgeo-oceania/foss4g-sotm-oceania-2023-workshops. *A total of 25 spaces are available.*

In this beginner-friendly workshop, participants will create a map using open source software (QGIS) and freely available open data. No prior knowledge is required. By utilising open source software and data, participants gain hands-on experience in map creation while exploring cost-effective and accessible tools.

In this workshop, participants will learn to create a map from start to finish using open source software like QGIS and freely available open data. No prior knowledge is necessary, as the workshop aims to provide a beginner-friendly environment. By utilising open source software and open data, participants will gain hands-on experience in map creation while exploring the benefits of cost-effective and accessible tools. During the workshop, students will explore techniques for generating a hillshade from a Digital Elevation Model and combining it with other map components such as imagery to enhance the overall map presentation. Additionally, we will delve into methods for visualising other map elements like data-driven symbology, rule-based labelling and completing the map, ready for print. If time permits, we will introduce QGIS Atlas Mapbooks and PyQGIS to automate the map creation. **Prerequisite skills:** - No prior knowledge is necessary **Preparation required:** - QGIS loaded onto laptop - Laptop **Book your ticket here:** https://ti.to/osgeo-oceania/foss4g-sotm-oceania-2023-workshops. *A total of 25 spaces are available.*

The aim of this workshop is to learn creating, managing, and using a spatial database hosted in PostgreSQL server. We will see how to install and connect to PostgreSQL, and then how to create users and databases, install the PostGIS extension, and load data and manage them through QGIS.

PostgreSQL is the most powerful of the open-source databases, used widely in many organisations and with a wealth of training available for free online. Still, it can be daunting to be approached without previous experience. This workshop aims to give a basic introduction of working with spatial data in a PostgreSQL database server by showing the attendants how to install a local PostgreSQL server, connect to it, create and manage users and privileges, and create a spatial database with the PostGIS extension. Then we will move to spatial data and learn how load spatial tables, assign primary and foreign keys, and manage the data both with QGIS and other open-source database management programs. During the workshop, Elisa will also share all the lessons learned in the last 5 years of working with PostgreSQL and the dos and absolutely-don'ts that the attendants need to be aware of (capital letters, anybody?). This workshop is hands-on. **Prerequisite skills:** - Attendees should be familiar with QGIS **Preparation required:** - Own laptop with enough memory and space to install and run - PostgreSQL https://www.postgresql.org/ - QGIS LTR or v3.32+ installed https://www.qgis.org/en/site/ **Book your ticket here:** https://ti.to/osgeo-oceania/foss4g-sotm-oceania-2023-workshops. *A total of 25 spaces are available.*

Managing and making available spatial resources is challenging for smaller organisations with limited resources, such as Iwi. Iwi-Cat provides an intuitive way to accomplish this. Workshop participants will gain hands-on experience implementing an opensource stack - consisting GeoNetwork, GeoServer, PostGIS and supported by QGIS with the GeoCat Bridge Plugin.

This workshop will demonstrate implementing and using an open-source stack composed of GeoNetwork supported by GeoServer and PostGIS. We will share how Iwi-Cat allows less experienced users to manage and access the geospatial resources they need to better their work. In this workshop, we will learn how to use GeoNetwork to create and manage ISO19115-3 metadata according to the latest guidance from ANZLIC/ICSM. We will also demonstrate using QGIS to populate the catalogue and GeoServer data services using the GeoCAT Bridge plugin, backed by PostGIS, to publish not only metadata, but the data itself easily. **Book your ticket here:** https://ti.to/osgeo-oceania/foss4g-sotm-oceania-2023-workshops. *A total of 25 spaces are available.*

Going beyond all the common functions that most folks use PostGIS for. Delving into advanced use cases and using PostGIS in production workloads.

PostGIS, sitting on top of Postgresql, is by most metrics, the most popular spatial database. Many videos are online about how to install and use PostGIS....many are from prior FOSS4G conferences and do a good job in getting you to understand the basics. Most of them, however, only scratch the surface when it comes to the power that can be wielded with PostGIS. This workshop seeks to explore a wide array of functions that may not be used on a regular basis or are outside the scope of common spatial queries. These include, but are not limited to: - Linear Referencing - Clustering - Using rasters - Vector Tiles There will also be an emphasis on using PostGIS in production, so there will be some usage of other software products (for example: Martin Vector tile server or pg_featureserv or pg_tileserv ). Consideration will also be given to the ecosystem around PostGIS (For example: ogr_fdw) **Book your ticket here:** https://ti.to/osgeo-oceania/foss4g-sotm-oceania-2023-workshops. *A total of 25 spaces are available.*

Introduction to using Leaflet with React, requires some programming experience and ideally some React experience. It'll demonstrate how to build a dynamic web mapping application.

The following will be covered in this workshop: - Setting up a react-leaflet project - Configuring the map - Responding to user interactions - Adding basic features to the map, like markers, lines and polygons - If there is time,we will build or demonstrate something useful, such as an interactive vacation map. **Prerequisites** Some programming knowledge. **Preparation** Attendees will need to go through the react installation guide and install Visual Code. - https://react.dev/learn/start-a-new-react-project - https://code.visualstudio.com/ They will also need to be able to run `npm start` and open the code in the IDE. **Book your ticket here:** https://ti.to/osgeo-oceania/foss4g-sotm-oceania-2023-workshops. *A total of 25 spaces are available.*

Come and join us for some cartographic fun in QGIS! We will be focusing on complex labeling and symbology.

In this workshop, a seasoned Cartographer and Core QGIS Developer will help you discover some great tricks to increase your already amazing cartographic skills. **Prerequisite skills:** - Attendees should be familiar with QGIS and using the Style panel **Preparation required:** - Laptop loaded with the QGIS v3.32+ **Book your ticket here:** https://ti.to/osgeo-oceania/foss4g-sotm-oceania-2023-workshops. *A total of 25 spaces are available.*

Learn how to use Kart to version control your spatial data with the Kart CLI and QGIS plugin.

Kart (https://www.kartproject.org) is a powerful new open-source and cross-platform version control system for geospatial vector and table data. Designed to enable collaboration and cross-vendor workflows, Kart is built on the power of Git. Working copies are common GIS files and spatial databases, so you can edit data directly in GIS software without plugins. The workshop will introduce Kart and walk through installing; creating new repositories by importing open data sets; editing and committing data changes; reviewing history; cloning & pushing datasets; using and understanding different working copy formats; exporting repository data; managing metadata, licenses, and file attachments; performing branching and merging; and collaborating with other users. To participate, no experience with Kart, Git or other version control systems is required. **Prerequisite skills:** - Basic knowledge of GIS concepts and data formats. **Preparation required:** - A Windows, macOS, or Linux computer that has QGIS installed and can install Kart is required. **Book your ticket here:** https://ti.to/osgeo-oceania/foss4g-sotm-oceania-2023-workshops. *A total of 25 spaces are available.*

The New Zealand government commitment to open geospatial data and services has helped unlocked the full potential of geospatial data and analysis, empowering innovators to create accessible services that benefit all.

The New Zealand government commitment to open geospatial data and services has helped unlocked the full potential of geospatial data and analysis, empowering innovators to create accessible services that benefit all. With open source and open data, developers and user can tackle complex issues such as urban development, climate change, resilience, Māori prosperity, and New Zealanders' wellbeing with new approaches.

Using a suite of open-source applications including Ruby on Rails and Solr we have built a geospatial discovery app. Through a standard web browser, we have made geospatial resources accessible to all users regardless of expertise with user-friendly searches through a map interface, keyword searches, and faceted browsing.

Finding and consuming relevant geospatial data has always been difficult. We have created an open-source Ruby on Rails software application for discovering geospatial content, including GIS datasets, web services, and digitized paper maps. It also provides easy download and export options for reusing geospatial resources. By harvesting open (and closed) data portals we create metadata that then can be discovered easily. Through the extensible and open frameworks metadata is easily able to be shared between individual applications.

There is a good chance AR will become a major computing platform. What kind of maps will we need and what is the role of open data in building them? This talk will explore those questions.

Use cases should drive product development, not the other way around. Maps and the products we use to consume them have the biggest impact on the world when these principles are adhered to. How many government portals have you visited where a carefully curated map is presented that hardly anyone sees let alone uses? Presenting the data to the user in an intuitive way that helps them make a decision or take action is essential. Large paper maps of the 1700s were well suited to a captain’s desk as their ships traversed the oceans. Road atlases of the 20th century helped to spur family adventures and weekend getaways as highway networks were constructed around the world. The small computers in our pockets today allow us to see when the next train will arrive and which one will get us home sooner. These examples took the technology of the day and used it to make products with significant impact on society. The mobile internet in particular changed mapping in one of the most notable ways since humans started abstracting 3D space on 2D surfaces. We’re on the cusp of another great shift in the way maps are used with many exciting use cases awaiting discovery. The technology powering this potential is Augmented Reality (AR). This talk will explore some of the use cases that AR is supporting and where it might be useful in future. We’ll look at how AR can be accessed and how the medium of access affects its utility. With these use cases in mind, we’ll assess how open tools and map data enable AR. Some of the data and tools we’ll look at include: * Geometries of pedestrian ways * Associated attributes: Incline, safety, lighting, access, surface type, accessibility features * Building entrances * 3D building data * VPS for localisation * Routing algorithms The talk will conclude with a summary of Meta’s approach to map building and how open source geospatial technology powers the maps we build for today and the years ahead.

The OGC provides standards for Geospatial data as the quality of Geospatial data is of paramount importance in today's world. The OGC Validator, or Essential Geometry Validation tool, is a cloud app offered as a SaaS that allows users to validate geospatial data files against the OGC standards.

The Essential Geometry Validation tool is a solution that runs in the cloud and allows anyone with an internet connection to upload geospatial data files for validation. It produces a report with all the defects of the uploaded data according to OGC standards. The failures can also be seen graphically on a map. It uses a very simple workflow: upload a file, click on CONTINUE and download the report. Additionally rule violations can be seen on a map within the app. The app accepts the most common file-based GIS format: - ESRI File GeoDatabase - ESRI Shapefile - GeoJSON - GeoPackage

We record the extent and shape of the beach over time to monitor coastal changes,

Reef islands and coral cays like Heron Island on the Great Barrier Reef are highly dynamic and change in shoreline horizontal and vertical positions can occur rapidly over days or slowly over years to decades. Reef island environments are severely impacted by sea level change and human activities like dredging and shoreline hardening. These impacts are likely to be exacerbated in a future of higher sea levels and changing wave climates. Despite this there are very few studies that have examined shoreline and volumetric change of low-lying reef islands over time. Measuring the horizontal position and three-dimensional volume of low-lying reef islands at high spatial resolution (< 1 m) and precision over several seasons and years will provide a better understanding of the processes driving shoreline change and coastal erosion and accretion. In June 2023, we collected field data on Heron Island to characterise the intertidal zone and beach area using drones, laser scanners, and GNSS. The results from this study will help inform shoreline monitoring, management strategies and mitigation measures, facilitate greater accuracy in modelling future island states, and help ensure sustainability of the island. The overall aim is to protect the important ecosystem reef islands provide and to offer insights into tropical island change that will be relevant globally and throughout the entire Great Barrier Reef.

A presentation on the new Toitū Te Whenua Land Information New Zealand (LINZ) LiDAR QC command line application that has been developed using open-source software and libraries, including Python, GDAL, PDAL, and LASTools.

The command line application was developed to improve LiDAR data quality checking (QC) processes, as part of the National Elevation Program. The aim has been to simplify and optimise processing the LiDAR data for region scale datasets, so our analysts can be more efficient in their QC work. This presentation will go into the workflow and libraries used in the first command on the application, check-dataset. This tool collects metadata from each point cloud and raster file in a dataset, runs a series of checks on the information based on LINZ specifications, and outputs the results in a geopackage for a comprehensive review by our location data analysts.

One strength of FOSS4G is the ability to support open standards, yet the standards process is a mystery to many. Two experts discuss recent developments in ISO and OGC standards and how one longstanding OSGeo project plans to implement these improvements.

This talk, presented by two people with decades of experience developing and implementing open standards and open-source software, will illustrate the symbiotic relationship between open standards and open source software. The first presenter is an OGC chair of both the recently launched GeoDCAT standards working group and the Metadata and Catalogues domain working group, as well as a member of the recently launched ISO TC 211 work to develop the technical review of 19115-4, a JSON encoding of 19115-1. The second presenter founded the OSGeo GeoNetwork opensource project and will discuss recent developments in GeoNetwork to implement these standards to benefit users.

Whanganui District Council utilized the Whitebox Hydrological Modelling Tools in QGIS to create Overland Flow Paths and Ground Depression Areas from our 2021 LiDAR datasets. The talk will also describe how we style the layers in QGIS and an analysis use case for the datasets produced.

Hydrological modelling can be performed in QGIS using WhiteboxTools, which is a powerful open-source geospatial data analysis and processing platform. WhiteboxTools provides a set of hydrological analysis tools that can be used for modeling stream networks, watersheds, flow accumulation, and other hydrological variables. For Whanganui District Council, Overland flow paths are a common way of representing the predicted path of stormwater as it flows over the topography and we use depression areas to map the potential extent of stormwater ponding if the stormwater network is full or failure occurs within the network. By combining Whitebox Tools with QGIS, Whanganui District Council was able to perform in-house complex hydrological modeling tasks using open-source software, which helped save time and money while improving the accuracy and reliability of our analysis.

This talk will share about the works of Open Mapping Hub Asia-Pacific to support Anticipatory Action and Disaster Preparedness in the Asia-Pacific Region

Using OpenStreetMap, QGIS and InaSAFE to provide information and analysis regarding the Anticipatory Action and Disaster Preparedness, Open Mapping Hub Asia-Pacific have supported some organizations partners and involve OSM Local community as part of their collaboration to participate on the disaster risk reduction effort. This talk will share some of the examples on how the Free and Open Source GIS Tools can really beneficial not only to provide the better information and analysis but also build local capacity on the disaster context.

Broad overview of development and implementation for a disaster mapping tool after cyclone Gabrielle. Presentation covers inception, deployment considerations, tools, implementation, and live results.

This presentation is a high level description of the methodology, development stack, and implementation of the project. The project demonstrates the use of open source geospatial tools for each step of the project.

This talk will demonstrate how Manaaki Whenua – Landcare Reseach has been using the H3 Discrete Global Grid System (DGGS) to perform land-use mapping according to an established land-use classification system.

We have been using the [H3 DGGS](https://h3geo.org/) with various OS GIS tools and standards (GDAL/OGR, PostgreSQL/PostGIS, GeoParquet, Dask, GeoPandas) to efficiently compute high-resolution land-use maps of parts of New Zealand against a variety of classification systems, most recently the [Australian Land Use and Management Classification Version 8](https://www.agriculture.gov.au/abares/aclump/land-use/alum-classification) (ALUM). You will learn about our automated workflow, which can efficiently combine a large number of raster and vector datasets through the use of a DGGS. You will get an introduction to DGGS, which we think is best thought about as a third-way between the vector and raster data models. You will see how a DGGS approach to geospatial computation lends itself well to parallel computation, because of the nested hierarchical nature of DGGS cells—which is a compelling advantage over existing methods that work within either the raster or vector data models.

The Airspace Risk Modelling System combines open-source geospatial technologies and data science techniques to assess risk of mid-air collisions in Australian airspace under various conditions.

This presentation will provide an overview of the Airspace Risk Modelling System (ARMS), which was developed by the Australian Civil Aviation Safety Authority (CASA) in coordination with IT company MTP Services. ARMS provides the ability for airspace safety experts to profile the risk of mid-air collisions in a volume of airspace over a time period of interest. Users are provided with a numerical analysis of risk, as well as map visualisations which can help them understand how risk is distributed geospatially in the airspace. Various modifying factors can also be simulated to observe their impact on the risk picture. The purpose of this analysis is to inform decision making regarding changes to airspace. This talk will include: - Background on the project. - Quick overview of the components of the solution. - Discussion of how ARMS leverages open-source Python libraries to perform geospatial analysis. - Some examples of how we’ve applied data science models to geospatial data to generate meaningful comparative analysis. - Challenges we’ve faced as a result of needing to deal with billions of data points with limited resources, and how we addressed these hurdles. - Future direction of the project, including plans to further incorporate open-source geospatial technologies.

This presentation showcases collaborative efforts between the Vanuatu Meteorology and Geo-Hazards Department (VMGD) and NIWA to enhance climate services in Vanuatu. The project includes spatial mapping of historical climate data and the development of operational climate maps to support weather and climate resilience in Vanuatu.

The Vanuatu Meteorology and Geo-Hazards Department (VMGD) is working to develop new procedures and capability to enhance operational climate monitoring, reporting and services to build weather and climate resilience in Vanuatu. In collaboration with NIWA, VMGD has undertaken a project to create spatial maps of historical climate data in Vanuatu and develop operational climate anomaly maps from recently observed rainfall and air temperature data. This project aims to strengthen the capability of the VMGD climate staff to interpret and generate maps based on rainfall and air temperature observations. The outcomes of this project include the creation of an atlas of maps of the past climate for Vanuatu. Within this atlas, monthly and seasonal maps illustrate the historical long-term average rainfall and air temperature for Vanuatu, specifically highlighting the different phases of the El Niño-Southern Oscillation (ENSO). Moreover, a suite of operational climate maps has been generated, describing temperature and rainfall patterns for the past 30, 60, 90, 180 and 360 days in Vanuatu. To ensure accessibility, these map products have been integrated into NIWA's Climate Data for the Environment Services Client (CliDEsc) system installed in Vanuatu, facilitating easy availability for VMGD staff. Python open-source geospatial technology has been used extensively in this project including the use of gdal, geopandas, xarray, scipy, cartopy and rasterio.

The geospatial cross section of history / politics and news media (journalism)

The geospatial cross section of history / politics and news media (journalism)

This talk presents five "spreadsheet smells", indicators that a spreadsheet is getting out of control, and identifies a few possible solutions for each.

In the world of software development, a “code smell” is an obvious indicator that often corresponds to a deeper problem in a system. Code smells are not bugs, but can reveal a codebase that is fragile or may be difficult to maintain in the long term. With a little bit of practice code smells are generally easy to spot, but understanding how to fix smelly code can take a lot of knowledge and experience. Spreadsheets can be an incredibly powerful tool for quickly testing concepts, analysing data and visualising outputs, but their ubiquity and apparent ease of use often means they get taken beyond their point of efficiency. This talk presents five “spreadsheet smells” often seen in the wild, gives you the tools to quickly identify when things might be getting out of control and presents a few possible solutions for each.

Everyone knows about OpenStreetMap, but not everyone knows what is the OpenStreetMap Foundation.

Everyone knows about OpenStreetMap, but not everyone knows what is the OpenStreetMap Foundation. In this session, we will talk about - who we are, - what we do, - how you can join and grow the OpenStreetMap Foundation, Working Groups and initiatives, and - how we can take action for the future of OSM.

OpenStreetMap is a platform that remains open and accessible, allowing individuals to use, edit, and actively participate in its development. You're invited to join us for a conversation with our local OpenStreetMap leaders, as they explore the delicate balance between structured approaches and the organic nature of grassroots mapping.

Our panellists will sit down and discuss OSM and Oceania. More details to come. This panel will be facilitated by Ed Neerhut.

The things that can be most bewildering when you first start using QGIS!

From fixing font scaling issues to missing menu items, we have got a list of those things we have found the community has most issues with when starting to use QGIS.

What's new with LINZ Basemaps, the open data national basemap service for New Zealand built on free and open source software.

Toitū Te Whenua Land Information New Zealand provides free, ready-to-use, authoritative Basemap services for your maps and apps. This lightning talk will go through the latest updates and future direction for our services and how to get the best from them with open source software.

PNG Road Transport Information Management System (PNGRoTIMS) is a system that can manage geospatial, technical, and contractual information regarding roads in PNG. The initiative is by International Labour Organization under the European Union Funded Support to Rural Entrepreneurship, Investment and Trade Project (EU-STREIT) in Sepik Region, PNG.

The four components - Desktop application, Web interface, Web mapping and mobile application (Android). PNGRoTIMS is developed based on following approaches: 1. Complete Open-Source System Design requiring no proprietary software, 2. Centralized Database using PostgreSQL/PostGIS which is an enterprise grade open-source database widely used, 3. QGIS for Desktop GIS to manipulate the GIS data and processing of GPS data, 4. Geo-Server Based Web Mapping system using PostgreSQL data of road layers and other static background layers, 5. Automatic Updating Desktop Software using "Click Once" technology, 6. Android based mobile system for mapping and inventory. The architecture of PNGRoTIMS has been designed using the layered architectural pattern. A two-dimensional layering approach has been used to structure the software firstly by responsibility and secondly for reuse. The Data Layer persists PNG RoTIMS data into a PostgreSQL with PostGIS database. The structure of the PNG RuTIMS Database is based on the data storage requirements implied in various requirements of the system including road information system, road planning etc. The database contains multiple schemas with the data in each schema. The PostGIS Database provides support for storage and manipulation. The entire system is grouped into menus based on their similarity of functions. The following table provides the summary of the menus and the sub-sequent section provides details of each of the menus and the sub-menus. • ADMIN: Allows users to login, select Province/District and Fiscal year, create/ Delete new user, change password, view users, login, logout and Exit • ROAD NETWORK: Manages the Road Network, Inventory, Inventory Reports, Road Condition, Traffic and Utilities. • PLANNING: Outputs maintenance needs (unconstrained budget), under Constrained budget scenario; Prioritize roads using multi-criteria approach which are Access to socio-economic centres, Population served by the road, Traffic, Connectivity to Federal & Province, Agriculture Potentiality, Road Class Category. • ARMP: Annual Road Maintenance Program, This Module Registers and Produce Summary Reports of Maintenance categories of Routine, Periodic, Spot, Bridge Repairs. It also includes Upgrading and Rehabilitation/ Re-Construction plans. • CONTRACT MANAGEMENT: Management of Contracts including registering of contracts, contract details, Physical Progress, Financial Progress and various progress reports. • MAP: Online External Map and Edit GIS Map. • HELP: About the system

TerriaJS, the open source 3D web map solution, has just implemented support for Cloud Optimised Geotiffs. See how we have implemented COGs, in 2D and 3D mode, and see what you can do with them in TerriaJS!

To date, Terria maps have accessed raster datasets from WMS servers or ESRI MapServers. With the new implementation, maps can point directly to a tiff file in cloud storage. Advanced functionality made possible by our COG implementation will be briefly demonstrated, including client side reclassification of rasters. We will also outline our roadmap for feature development, including ideas for client side analytical capability. TerriaJS is an open-source framework for web-based geospatial catalogue explorers, available at https://github.com/TerriaJS/terriajs. Terria is used for Australia’s [NationalMap](https://nationalmap.gov.au/), as well as multiple [state-wide Digital Twins](https://vic.digitaltwin.terria.io/).

Come and learn the news about OsGeo Oceania grants from one of the Grant Committee most enthusiastic member. The grants are open to all community members and have already been used across the Pacific to help organising events and activities in the open source spatial field.

A 5 minutes summary about what is the Grant Program, what types of grants you can apply for, and how they can and have been used to help the Pacific open source community.

In this talk I will provide a brief introduction to GeoNode - what it is and how it works - and speak about our experience setting up a customised GeoNode for UNDP Papua New Guinea.

In this talk I will provide a brief introduction to GeoNode - what it is and how it works - and speak about our experience setting up a customised GeoNode for UNDP Papua New Guinea.

In the Pacific Islands region, where there are over 30,000 islands vulnerable to invasion and isolated, geospatial data and remote sensing are suitable tools to detect, manage and monitor prolific invasive species that are causing environmental and socio-economic impact.

In this talk we highlight the utilisation of geospatial data to undertake niche similarity/equivalency test to fill in knowledge gaps to better understand the behaviour of invasives such as the African Tulip. We also highlight and provide an update on the progress on the detection techniques using available data to map the African Tulip, these include textural-based analysis using machine learning algorithms and spectral-based techniques focused on species phenology. We also highlight existing challenges and opportunities for RS for invasive species management in the Pacific Islands region.

Building and progressing a mapping community in the Pacific, what is the role of unseen bias?

"Drawing inspiration from Edafe Onerhime's insightful talk, we aim to expand the conversation and deepen our understanding of how our assumptions shape the OSM ecosystem, the mapping communities in the Pacific and examples of current practices. The term ""building=yes and other defaults"" pertains to the data we add as features in OSM as well as the various contributors who map these features and/or share the same characteristics. Our communities, projects, and guidelines often reflect a limited set of characteristics, therefore introducing limitations and biases into the data. This is particularly important across a region of more than 30,000 islands, exhibiting variances in socio-economic, political and cultural statuses and differing practices of ‘community’. This talk will explore these default aspects and common assumptions using the the OSM ecosystem, as a primary example. It is not meant to assign blame or induce guilt but to encourage awareness & inclusive discussions within a safe space. The talk is aimed to understand (and take action) on how our unseen biases affect data and the progression of the mapping community including OSM. Strategies for addressing biases, enhancing data quality, and cultivating a more inclusive and equitable community, will also be addressed."

The world is in a constant state of change, growing increasingly diverse. **What** is essential for establishing collaborative contributions with the community and forming partnerships that yield benefits for a wide range of individuals? Explore how TomTom is committed to **build the smartest, most useful map of our world.**

In the face of an increasingly diverse and complex world, an inclusive proactive mapping approach is imperative to stay current and relevant. ​ ​ **It takes the world to map the world.** ​ ​ TomTom has embraced a transformative journey to realize this vision. Since 2021, our focus has been on active participation in various OSM Engagement Activities and Events, fostering at all levels collaboration and contributing to the improvement of the OSM map. Our endeavors aim to unlock benefits for everyone in the future, evident already in areas such as data and tool sharing, humanitarian mapping, as well as recruiting and training newcomers to navigate the world of OSM. ​ ​ During our upcoming session, we will deep dive into how our **Community & Partnerships** engagement with the OSM Community spans the global landscape, with a particular focus on the regions of **Asia** and **Oceania.​**

A presentation on creating aesthetic visualisations using open-source elevation data, software, and tools.

The title plays on the phrase "Digital Elevation Models", creating realistic and diorama-like visualizations using real-world elevation data. During this presentation, the speaker will explore different approaches to producing authentic and artistic visualizations using open-source LiDAR data and open-source tools, exhibited on elevationaotearoa.co.nz and under their personal brand. They will show a selection of their visualizations, with the goal of illustrating the high quality of these datasets and demonstrating the potential they hold for various applications for New Zealand.

How to make your map readers lifes easy by removing the clutter and mental burden from your designs.

People love to throw everything including the kitchen sink onto their maps. This talk will look at why this leads to a mental burden, making the map harder to read and putting some readers off entirely. What alternatives there are, how this links to other concepts such as visual hierarchy and layout, the history of thinking about clutter with Tufte and Cairo, and how to keep your viewer foremost in your mind. I have seen one too many maps where they have thought great symbology was the goal and not helping their readers, this talk will help pull this back and give the listeners a really good view to take with their map creation. This talk will be more focused on cartography theory rather than practice with open source tools, however it willl give examples using qgis.

The presentation documents recent fieldwork in the Pacific using GoPro Max 360 cameras to collect transportation and associated attributes such as power poles and related utility infrastructure for an ABD-funded project.

The Author traveled to Nauru and Thursday Island to undertake fieldwork. As time in-country was limited it was decided to use GoPro Max 360 cameras mounted on a vehicle to capture features. The GoPro has an inbuilt GPS and can capture 360 panoramic images and video. Every road and many private roads were driven and data was captured. Video data was first processed using the batch processing tool in the GoPro desktop app, and then uploaded to both Mapillary and Google Streetview. Mapillary uses computer vision to automatically extract map data from images and we can then export to QGIS. We also use the Mapillary JOSM plugin to update Open Street Map.

A look at Whanganui District Councils GIS Stack implemented with FOSS4G solutions. For Whanganui District Council, implementing an FOSS4G GIS stack provides a cost-effective alternative to proprietary GIS software, as well as greater flexibility and control over the entire GIS system.

A GIS stack is a collection of software and tools used in Geographic Information System (GIS) applications to store, manage, manipulate, analyze, and display geospatial data. The stack typically includes several components, each with its own purpose and functionality, that work together to provide a complete GIS solution. The new FOSS4G GIS Stack has benefited Council greatly through; significant recurring cost savings, greater functionality, new functionality driven by community, improved service levels and no loss of Integration with other Council systems.

How Toitū Te Whenua Land Information New Zealand received, processed, and published high resolution satellite and aerial imagery using cloud-based processing pipelines with Argo Workflows, Kubernetes and GDAL as part of the Cyclone Gabrielle emergency response.

An exploration of the value of cloud-based imagery processing and how this has been implemented by Toitū Te Whenua Land Information New Zealand, using the emergency response to Cyclone Gabrielle as a case study. We will cover an overview of LINZ's imagery processing pipelines built with open source software such as GDAL, and the infrastructure which supports these using Argo Workflows and Kubernetes. The case study of Cyclone Gabrielle will highlight the benefits of this approach, as well as the unique challenges we faced processing satellite and aerial imagery data to contribute to the emergency response.

Presenting a project using ARCO formats (Zarr and GeoParquet) to manage varied data from different organisations

This presentation describes the use of Analysis Ready Cloud Optimised (ARCO) formats for efficiently managing spatial data from different sources with varying formats, structures, and sizes. The techniques presented here were developed in the context of building a fit-for-purpose Data Management System for the Great Barrier Reef as part of the Australian Government’s Reef 2050 Integrated Monitoring and Reporting Program (RIMReP). For this project, there was the need to assimilate several datasets managed independently by different organisations, and to make them available with a common structure while trying to optimise for efficiency in the most common patterns of accessing the data. The presentation will focus on our design of two main general structures for raster and tabular data, based on Zarr and GeoParquet respectively, and discuss how these structures were designed to optimise access to the data while maintaining a consistent framework. We will provide case-by-case examples of how these structures were tweaked according to the needs of each particular dataset, as well as our plans for the future and our experience of what did and didn't work, as a way of sharing knowledge about the use of ARCO formats for efficiently managing spatial data.

NGIS, an Australian spatial consultant company, embraces open source software for efficient and affordable GIS solutions. They recognize its maturity and value as an attractive alternative to proprietary software, while maintaining high-quality standards.

NGIS, an Australian spatial consultant company, understands the importance of open source software in their operations and for their clients. They recognize that proprietary GIS software is not always necessary, as there are cost-effective alternatives available. Moreover, open source software has significantly matured over the past few years, making it an attractive alternative. By embracing open source solutions, NGIS aims to provide their clients with efficient and affordable options while maintaining high-quality standards. This approach allows them to leverage the advancements in open source technology and offer innovative solutions to their clients. In our presentation, we will showcase case studies that highlight how NGIS effectively works with Open Source tools as well as how it provides and implements Open Source solutions for its clients.

Updated stack and methodology for transforming zoom based QGIS projects into pre-rendered raster tiles for the web. Presentation uses a real world use case study (SWA Flood Mapping Project), introduces rasterio for multi-core processing, and the incorporates coverages to reduce tile cache sizes.

In 2022, I presented on a project to transform zoom based QGIS projects into COG tiles, demonstrating a proof of concept for the replacement for the TileMill to MbTile stack. In 2023, I’ve updated the stack and method to develop more practical outputs in the form of raster tiles making the method viable to a wider audience . The updated presentation introduces a real world use case (SWA Flood Mapping Project), introduction of rasterio for multi-core processing, and the incorporation of coverages to reduce tile cache sizes. In addition, we will be opening up the Github repository for public access and comment. The presentation covers: Concept Stack Example Live Website Summary Github Links

The abstract emphasizes the challenges faced by local communities in accessing and utilizing national-level spatial information. It introduces Free and Open Source GIS as an alternative approach that eliminates the barriers associated with proprietary software, enabling cost-effective access to GIS tools and data.

The project "Bridging the Gap from National to Local Communities using Free and Open Source GIS" aims to address the challenges faced by local communities in accessing and utilizing national-level spatial data effectively. It proposes the use of Free and Open Source Geographic Information Systems (GIS) as a solution to empower local communities and bridge the gap between national and local spatial information.

To all Python fans who want to make interactive, Leaflet-powered map apps without writing much JavaScript, there is a way. I'll describe it using Dash and Dash Leaflet, two excellent open source Python libraries. Real examples included.

To all Python fans who want to make interactive, Leaflet-powered map apps without writing much JavaScript, there is a way. I'll describe it using Dash and Dash Leaflet, two excellent open source Python libraries. Real examples included.

With rapid growth in the company, New Zealand Carbon Farming needed a new approach to its GIS system. Using a combination of QGIS, Qserver, Lizmap, QField and PostGIS, is implementing a more user accessible GIS system for it's office and field based staff.

New Zealand Carbon Farming operates within a complex and changing regulatory environment, managing over 100,000 ha of forest land and having sequestered 25+ million tonnes of C02 to date. With a growing team, the existing ways of doing maps and data wasn't scalable so a new approach was needed. This talk outlines our journey to update our systems and approach with OpenSource GIS at the core.

Several open source tools are enabling the shift to cloud-native geospatial Machine Learning workflows. Stream data from STAC APIs, generate Machine Learning ready chips on-the-fly and train models for different downstream tasks! Find out about advances in the Pangeo ML community towards scalable GPU-native workflows.

An overview of open source Python packages in the Pangeo (big data geoscience) Machine Learning community will be presented. On read/write, [kvikIO](https://github.com/rapidsai/kvikio) allows low-latency data transfers from Zarr archives via NVIDIA GPU Direct Storage. With tensors loaded in xarray data structures, [xbatcher](https://github.com/xarray-contrib/xbatcher) enables efficient slicing of arrays in an iterative fashion. To connect the pieces, [zen3geo](https://github.com/weiji14/zen3geo) acts as the glue between geospatial libraries - from reading [STAC](https://stacspec.org) items and rasterizing vector geometries to stacking multi-resolution datasets for custom data pipelines. Learn more as the Pangeo community develops tutorials at [Project Pythia](https://cookbooks.projectpythia.org), and join in to hear about the challenges and ideas on scaling machine learning in the geosciences with the [Pangeo ML Working Group](https://pangeo.io/meeting-notes.html#working-group-meetings).

In this talk we'll cover the latest developments for Kart, the geospatial version control system built on Git. We've been busy over the last year, fixing bugs, adding features and improving performance.

Kart (https://kartproject.org) is an open source version control system built on Git, enabling you to work more efficiently and collaborate better. Kart allows you to quickly and easily manage history, branches, data schemas, and synchronisation for large & small datasets between different working copy formats, operating systems, and software ecosystems. In this talk we'll cover the challenges and improvements that have been made over the last year, and show off Kart's new superpower: Raster data handling!

A practical account of cloud-optimized data formats such as Zarr and Parquet, the challenges we at the Australian Ocean Data Network have faced in their adoption, and questions that remain over the use of these cloud native formats.

The Australian Ocean Data Network (AODN) is an interoperable online network of marine observation data and services. The AODN contains data observed by the Integrated Marine Observing System (IMOS) program and partner organisations from across Australia. All data are shared under an open license and published using open source geospatial software through a platform that has been running on Amazon Web Services for eight years. The wide variety of types of marine data that we host means that we cannot rely on a single strategy or tool to store and provide data. Additionally, there has been recent work around the globe to establish new cloud native ways of storing, accessing and analysing large volumes of data. The AODN has recently undertaken reviews into cloud-native data formats such as GeoParquet, Zarr, TileDB and Kerchunk. In one case we found we could complete a workload 1900 times faster using cloud-native formats than with our legacy solution. This talk will cover the modern cloud-native formats we have been exploring, our assessment of them and the challenges we have faced, as well as highlighting some questions that remain over the use of these cloud native formats. We’re planning the next generation of the AODN so that we can continue to meet the current needs of our user community and position ourselves for the future.

Synthetic images can expedite machine learning building and training process. Obtaining real images that contain specific features is hard. In this talk we see how to generate synthetic satellite images by fine-tuning stable diffusion.

We have all seen how Machine Learning can be effectively used to build systems that can identify objects in a satellite image. However, obtaining images for trainings these systems is hard. In this talk, I will show you how to fine-tune stable diffusion to generate synthetic satellite images. I will show you a demo of generating satellite images containing highways by fine-tuning stable diffusion using dreambooth.

Where AI meets geospatial: The possibilities are endless to derive powerful insights for Orbica's partners.

The rapid growth of earth observation imagery from satellites, drones, aerial platforms, and UAVs has revolutionized the fields of Geographic Information Systems (GIS) and artificial intelligence (AI). Orbica has been at the forefront of research and development, harnessing this imagery to develop advanced AI solutions for detecting diverse vegetations & species using different sources such as satellite, aerial, and high-resolution drone imagery. This cost-effective tool offers extensive applications, including identifying informal settlements, mitigating wildfire fuel risks, supporting urban planning, assessing tree proximity to powerlines, detecting environmental changes, aiding disaster response efforts, and facilitating humanitarian mapping initiatives. Powered by state-of-the-art deep learning techniques such as convolutional neural networks (CNN) and transformers, the tool seamlessly integrates core geographic principles to accurately identify various vegetation types and species, including Native/Exotic forests, Shelterbelts, and Wilding conifers such as Pine radiata, Douglas fir, and Contorta. Geoprocessing techniques utilizing popular open-source libraries like GDAL, Shapley, Opendatacube, Xarray, Postgres, and others are employed to further enhance the AI models' feature classification capabilities. The generated features are conveniently served as an API/Tile service, enabling effortless integration into mapping applications and diverse geospatial workflows. Continuous feedback loops ensure ongoing improvements in dataset accuracy and precision, resulting in a progressively refined dataset over time. This research presents the evolution of AI-based tree/vegetation detection models, showcasing their remarkable ability to leverage diverse imagery sources and open-source technologies to effectively address a wide range of environmental and socio-economic challenges.

An overview of the technology required to get satellite imagery into the hands of the people who need them

Take a journey through the insane chain of technology required to get satellite imagery into the hands of the people who need them, featuring humorous units of measurement to help contextualize the scale of engineering and scientific advancements that make it possible. But technology alone isn't enough to change the world, what is really needed is innovative man-machine interfaces to make the data accessible.

An open discussion about OSGeo Oceania, who we area, what we've done and where we're going.

OSGeo Oceania was founded in 2019 on the back of the success of our first conference in Melbourne. Since that time we’ve run two in-person conferences and two in-pandemic events, we’ve supported dozens of micro grants across the region and we continue to sustain a financially viable organisation that supports our open geospatial community here in Oceania. This talk will go over our history, define our purpose and what our goals are, discuss our present situation in terms of what’s working and what’s not and will outline some ideas for the future of OSGeo Oceania. It will aim to be a discussion, and an open forum for input, questions and comment.

The existence of Free and Open Source Geospatial Software relies on its Community. Yet, the challenge persists: how can we accomplish this when our lives are filled with constant busyness? Join us to hear insights from our Community Leaders about initiating and nurturing a vibrant and active community.

Come together to focus our collective intelligence on making our Community better. We expect a lively exchange between our panelists and our audience. We will have Slido set up for you to submit your questions anonymously or you can ask from the floor, just signal to one of our volunteers to bring the mic to you. Afterwards, stay for the entertainment of the all-in lightning talks! Facilitator: Eli Puccioni

Real life is boring. This lightening talk is all about things that aren't real. Bots that make maps, toosl for generatively creating fake maps, and map making tools for table-top gaming fans.

Real life is boring. This lightening talk is all about things that aren't real. Bots that make maps, toosl for generatively creating fake maps, and map making tools for table-top gaming fans.

Do you or the organisations you support find producing useful, standards-compliant metadata challenging? While many places exist to publish metadata for your resources, modern, easy-to-use tools for creating metadata are hard to find. We propose providing an OSGeo based managed service to ease metadata creation.

OpenWork is proposing a managed service to take the complexity and overhead out of the metadata creation process. This proposal stems from work that OpenWork has provided the ICSM Metadata Working Group creating the web-based ANZMetLive V2 hosted by Geoscience Australia and the ANZLIC ISO19115-1 Best Practice guide. OpenWork proposes to offer an extended version of the GeoNetwork based ANZMetLive V2 in a managed environment to ease the creation and validation of metadata to be used in the catalogue of one's choice. Each account would provide a customised environment for users to create metadata that fits their organisation's requirements.

A new building data import began in April 2021. This talk will be a status update

In April 2021 a LINZ New Zealand building outlines dataset was added to ESRI's OSM import tools known as MapWithAI and RapID. This NZ dataset is reportedly the most successfully imported via these platforms, thanks to huge efforts from the community validating and adding the buildings. The goal of this import was to allow contributors to use New Zealand Buildings Outline data to continue to expand to the coverage of buildings across the country, using data from LINZ which has near-total coverage of the country. https://wiki.openstreetmap.org/wiki/Import/New_Zealand_Buildings

Submitting issues gets them fixed, really it does - we will take you through how to submit them and how they get fixed.

What you need to know to submit an issue for QGIS. How to set it up, what to include, and how to understand the process.

A lightning look at implementing MapStore, aided by a custom recipe built using a Juypter notebook in MS Visual Studio Code (with PowerShell and Juypter extensions).

Whanganui Maps is our public portal for viewing interactive geospatial Maps, Dashboards and GeoStories relating to the Whanganui District in New Zealand. The solution is based on the MapStore project. Implementation of MapStore is aided by a custom recipe built using a Juypter notebook in MS Visual Studio Code (with PowerShell and Juypter extensions). The notebook allows us to add notes about each implementation step and helps ensure the process is very repeatable.

The presentation is a light introduction to Terraform using a real world geospatial case study as an example.

Quick example of Terraform Use case for geospatial

This talk explores nature-based solutions for climate-induced flooding in Devonport, Auckland where spatial analysis of Auckland Council's flooding data, coastal projections and stormwater assets using QGIS guides optimal NbS locations. The findings aid in implementing NbS, enhancing resilience, sustainable development, and protecting residents and ecosystems in Devonport.

#Flooding #Devonport #NbS

Orisi's involvement in the PCRAFII has seen the implementation of Open Source tools, including Kobo Toolbox and QGIS.

Orisi's involvement in the PCRAFII has seen the implementation of Open Source tools, including Kobo Toolbox and QGIS throughout the project areas of focus including Samoa, Solomon Islands, the Kingdom of Tonga, Republic of Vanuatu, and the Cook Islands. In his keynote, he will expand on the challenges, successes and opportunities this project has presented.

Geographical data access and use in/for french Polynesia is made easier with the new SDI, which aims at facilitating the use and sharing of geographical data. On top of that it raises a question : how to represent our environment made of 118 island spread in a large territory?

The presentation will demo the new spatial data information platform of 'Opua agency (urbanism agency), for its partners (institutionals) and large public. Seen as a common good, based on opensource infrastructure geonode, with mviewer on top of that, this platform helps data sharing, and data representation as long as based on geographical frame of reference. On top of that, we will present our ongoing research on data representation on a specific territory made of 118 islands in 5 archipelagos.

This talk will describe how FOSS4G and open data enable urban analytics - analyses to better understand our cities. Examples include walkability, public transport accessibility and analysis of urban form and function.

Open source tools and open data are the backbone of urban analytics - from wellbeing-related analyses like walkability and public transport accessibility to analysis of urban form and function. This talk will go through several case studies, for cities in New Zealand as well as around the world, highlighting urban insights as well as the amazing work of open source developers (in R and Python), open data mappers and curious citizens. Analyses will be introduced from simple to complex and each example will end with advice for budding urbanists on how they can build their skills in urban analytics and use it to understand the cities they are passionate about.

The UNDP Natural Resource Management Hub (NRM Hub) is an online platform housing a range of support tools designed to help policymakers, civil society organizations and other stakeholders make informed decisions on natural resources and sustainable livelihoods in Papua New Guinea (PNG).

Our theme is 'What gets mapped gets managed'. Papua New Guiena is a country rich with biodiversity and natural resources - most of which go unrecognized or under-utilized, by leveraging open-source technology, our objective is to enable local communities to record and report environmental and livelihood changes, this in turn allows policy makers and stakeholders to better monitor and understand the situation on the ground, enabling them to make better decisions regarding Papua New Guineas biodiversity and natural resources. Our tools can be found at lukimgather.org and png-geoportal.org (A geonode instance)

This “problem solving 101” presentation outlines, with practical examples and tips, how to break crazy-hard technical problems down into achievable pieces then link those parts together to build an effective solution.

In technical domains we are often presented with extremely complex problems involving lots of competing elements and no clear way forward. This “problem solving 101” presentation outlines, with practical examples and tips, how to break crazy-hard technical problems down into achievable pieces then link those parts together to build an effective solution.

The Digital Earth Pacific project will support the development of an operational Earth observation infrastructure that enables people to make improved decisions.

Digital Earth Pacific (DEP) is a transformative project aimed at developing an operational Earth observation infrastructure for the Pacific. With a focus on empowering Pacific communities, DEP strives to simplify access to Earth and Marine observation data and deliver new data products that cater to specific regional needs. This presentation provides an overview of the motivations, objectives, and methodologies of DEP, highlighting its user-centric approach and the potential impact on informed decision-making and sustainable development in the Pacific. By democratising access to data and building upon advancements in technology, DEP aims to enhance accessibility and streamline data retrieval processes. Through a co-design process involving stakeholders from various sectors, DEP ensures that the infrastructure and data products align with the specific requirements and challenges faced by the Pacific region. Ultimately, DEP seeks to empower Pacific communities to harness the power of Earth observation data, driving resilience and informed decision-making.

QGIS is packed full of incredible features! We'll run through a few of our favourites, including highlights from the last few releases, and take a look at what's about to be unleashed in QGIS 3.34.

QGIS is packed full of incredible features! You can work with this software for years, and still discover new, weird, and wonderful tricks on a regular basis. Every new release contains a raft of enhancements and whole new areas of functionality. In this talk, we'll run through a few of our favourite features in QGIS, including highlights from the last few releases, and take a look at what's about to be unleashed in QGIS 3.34. With an eye on the future, we'll talk about how you can contribute to QGIS, and what the future might hold for this community-driven open source project.

MapSafe offers a complete approach for sovereign data owners to safeguard sensitive geospatial data through by obfuscating, encrypting, and notarising it. These functions run client-side in the browse meaning geospatial data never leaves the computer unprotected, presenting a completely trustless mechanism for sharing data.

Sensitive geographic data are invaluable assets for the people to whom they belong and their disclosure should be decided by the sovereign data owner (SDO). Due to several high-profile data breaches and business models that commercialize user data, the need for new approaches to geoprivacy and data sovereignty has grown. We propose MapSafe, a client web application that first obfuscates datasets using donut masking or hexagonal binning, separately, and thereafter implements a multi-level encryption scheme that permits SDOs to share the final encrypted volume containing the geospatial information when they choose and at a level of detail which they are comfortable. The authenticity verification of the volume is facilitated by storing the hash value corresponding to the encrypted volume immutably on the Blockchain as a public record. Our approach places geoprivacy under data guardians'’ control, and its integration capabilities promote its adoption in existing and future geospatial web systems.

Learn how to build a customised data collection app using QGIS

Are you still taking walking around with a clipboard and paper to collect site data? Or have you hacked together a way of data collection using forms or spreadsheets on a tablet? Fear not, because those days will soon be behind you. In this talk, I'll walk through how to set up a QGIS project to be able to be configured into a data collection app using either [QField](https://docs.qfield.org/) or [Mergin Maps](https://merginmaps.com/). Both of these tools have paid options which help to sync data from multiple users or can be used offline for free. I'll explain several key steps to set this up, including: 1. Initialising datasets to be populated during data collection 1. Defining attributes for data collection, including options such as dropdown's for values, compulsory values, or automated fields 1. Syncing data that has been collected 1. Producing outputs If you came to the Auckland meet up in 2022, you saw a 5 minute version of this presentation, but this time I'll walk through the whole process!

Does the management and sharing of information present challenges for your organisation? Iwi-Cat provides an intuitive way to organise and use your data collections. Learn how Te Tauihu Iwi are implementing a FOSS4G stack to support cultural and Taiao use cases.

This presentation will demonstrate the use of an open-source geospatial stack to support the needs of Iwi. The issue at hand focused on the difficulty in managing and leveraging information available to the best effect. The solution consists of a stack of software with GeoNetwork opensource at its core with PostGIS and Geoserver in a Tomcat container in Nginx on a Debian based Catalyst Cloud server. QGIS and GeoCAT bridge augment the input of resources. This solution provides a reliable way to manage and utilise cultural and environmental data held by the Iwi and data such as consents and sea level rise information that may impact Iwi cultural and economic resources.

How I made an open source geospatial business dream a reality.

Have you ever dreamed of running a business based entirely around open source geospatial? It's been my dream too, and over the last decade I've been on a journey to make it a reality. I'd love to share my story with you! While this won't be a step by step guide to making your own open source consultancy, I'm hoping that by honestly sharing my experiences I'll help others in their journeys. I'll be breaking down what's worked so far for me (and what hasn't!), and where I see opportunities for others to grow their own businesses.

Interested in discovering how to earn a livelihood through FOSS4G? Join our panel discussion, where we'll explore a spectrum of companies, from small-scale to larger enterprises, that create open-source products, along with their clientele who benefit from them.

Our panelists will provide an insight into running a business or earning a living in the FOSS4G space. This panel will facilitated by Alex Leith. Come to the session armed with your questions.

The Annual General Meeting for OSGeo Oceania, everyone is welcome to attend.

The Annual General Meeting for OSGeo Oceania

Come along and jump into a current mapathon campaign whether it's your first or your a seasoned mapper.

Hosted by the team at [OpenMappingHub Asia Pacific](https://www.hotosm.org/hubs/open-mapping-hub-asia-pacific), this day is an opportunity to jump into mapping a current campaign. Come along regardless of your experience. If you have never joined in one of these, this is a great opportunity to learn how it is done by those in the know!

Product Development session to work through the FOSS4G community needs for an Story Map product.

We are looking for ways to streamline creating Story Maps in FOSS4G with current products or to design an outline for a new product or plugin. This is currently an area lacking in FOSS4G and whilst there are some products out there, they mostly require payment or have limited functionality. If we can come out of this with our requirements, we could then understand the resource requirements and build a crowdfunding exercise. Our Goals - What elements do we require? The base would include media, text, and map. However, perhaps we want to be able to view it 3d or create some dashboard like features. - What should their behaviour be? Think about what is currently out there - what do you like, what is missing & etc. We want to progress further than a map and an information box side-by-side. - What should the base platform be? Think here about the resources for continual maintenance, accessibility, logic, ease of use. What currently offers this, could we approach them to build up their product with our requirements? Would be be able to roll what is available out there into the QGIS platform to allow for ongoing technical support? > Please contact emma@north-road.com with any of your ideas.