Automatic large-scale mapping of land cover classes facilitates applications in sustainable development, agriculture, and urban planning, and is therefore a commonly studied topic in remote sensing image processing, but typical deep learning approaches use models pre-trained on everyday image datasets like ImageNet and retrain them using only three channels usually RGB , not fully leveraging the unique properties and spectral information of multispectral satellite images. The latest approach in our series of approaches, powered by new open satellite imagery datasets like BigEarthNet and machine learning libraries like fast.ai and eo-learn, explores the effect of pre-training convolutional neural networks on multispectral satellite imagery for country-scale land cover predictions on data for all of Slovenia in 2017.

Marinus of Tyre s and Mercator s are by far the most popular projections used today in the Earth Sciences. However, they expand the surface area of the Earth respectively by 50 and 200 , imposing serious overheads in data storage, and more importantly, computation costs. While an equal-area projection is the evident solution, those supported by FOSS4G are scant; a choice is not straightforward. ISRIC, the World Data Centre for Soils, creates and serves global high resolution maps of continuous estimates of soil properties and soil classes. ISRIC had until recently created its products in the millinery projection of Marinus of Tyre, but in face of ramping computation costs, it initiated a process to adopt an equal-area projection. After carefully benchmarking various candidates, the option rested on the Homolosine, a modern projection developed by J.P. Goode that is supported both by PROJ and GDAL. This address details the advantages of the Homolosine projection over other FOSS4G supported equal-area projections. It also highlights the limitations of FOSS4G in working with the Homolosine and the strategies to overcome them. https files.mastodon.social media attachments files 013 541 730 original 48ce103c58e42c90.png

LEOWorks is an educational open source software for inspecting and analyzing satellite images. It represents the main tool for demonstrating Earth Observation techniques within the European Earth Observation Web Site for Secondary Schools - EDUSPACE, belonging to the European Space Agency ESA and is developed by TERRASIGNA. Our project is a great and easy to use GIS tool that comes with features as Read and analyze SENTINEL 1 and SENTINEL 2 products Raster support for a large number of formats Importing of GPS GPX format files Displaying images in grayscale and or RGB Image enhancement techniques e.g. contrast manipulation, filtering Image registration georeferencing Performing measurements on imagery Unsupervised and supervised image classification Creating, editing, displaying and querying vector data GIS manager Animation of multi-temporal images Enriched GIS functionalities Interactive streatching Multisensor data fusion between coregistered images from different sensors Map Composer LEOWorks is an educational open source software that always is evolving based on the requests received from our community or great new ideas from it s developers.

SDI s typically have a challenge of a data publication requiring a review phase before becoming approved and accessible. It is relevant for each aspect of data publication; data, transformations, service and metadata. The review phase should be as complete as possible including INSPIRE OGC QOS validation so there will be no surprises when making the resource widely available. GeoNetwork has had a workflow module to allow users to review a record before it becoming public for a long time, however the functionality was a bit hidden and had some challenges. This summer we re landing a 5 years old feature branch in GeoNetwork to improve this aspect of the application. The workflow, if configured, is brought more upfront and a mechanism has been added to allow to work in a draft version, before the approved copy is replaced. This branch has been extensively tested by some of our users in recent years. From their experiences we ll highlight some of the additional benefits of this module. The workflow mechanism can also be used to trigger publication of datasets in external components, such as Docker or GeoServer.

The coordination of increasingly faster development of geospatial Free and Open Source Software and more longer term oriented standards presents some challenges which have been identified and taken up by key organizations of the domain. OGC and OSGeo have a long history of cooperation, since many years we work together through a Memorandum of Understanding, which amongst other aspects provides OSGeo to a certain extend access to the OGC standards development process. The cooperation is meant to bring in requirements, ideas and expertise from the OSGeo community to the OGC programs and processes and provides the OSGeo community with an insight into the current developments of open standards. The Overview presentation will provide a short insight into the OGC programs and processes and will explain the idea and development approaches for the OGC baseline. It will also talk about the results of various hackathons OGC API hackathon and Innovation Program initiatives e.g. EO Big Data Architecture that will happen in June and July. It will furthermore give an update on the Future Directions technology trends mapping of OGC and how the OSGeo community can be part of it.

The large number of sponsors, many of them very large companies, found at FOSS4G events indicates that there are significant commercial interests and opportunities associated with free and open source software FOSS technologies. This talk will describe several recurring patterns and business models for monetizing open source technologies, while also - and crucially - contributing back to FOSS communities. The talk will elaborate on the following three main models 1. Providing value added services and support to open source projects 2. Leveraging incorporating open source technologies to deliver products SaaS 3. Open sourcing your commercial technology The talk will also provide real world examples of each of these models from the perspective of a commercial business that is actively engaged in a variety of FOSS activities. The talk will also examine some new and emerging trends including open data being incorporated into commercial platforms.

pgRouting extends the PostGIS PostgreSQL geospatial database to provide shortest path search and other network analysis functionality. This presentation will show the inside and current state of the pgRouting development, from its wide range of shortest path search algorithms and other algorithms like driving distance calculation or Traveling Sales Person TSP optimization, graph contraction, flow analysis etc. Additionally we will give a brief outlook and introduction of upcoming new features on the version 3.0. We will explain how the data structure is important to get better routing results. Furthermore we will show how you can improve the quality of the search with dynamic costs and make the result look closer to the reality. You will also learn about difficulties and limitations of the library, and when pgRouting might not be not the right tool to solve your routing problem. Links to project https github.com pgrouting pgrouting

Operating in the humanitarian sector of South Sudan comes with an endless number of challenges. High personnel turnover makes it difficult to maintain servers, and VSAT-only connectivity results in dial-up performance for both city and field locations. Despite this, there is a great need to communicate detailed GIS data beyond what can be printed on paper. To fill in this gap, REACH Initiative has been developing platforms that use mobile- offline-first technologies to address these issues. This talk will focus on a specific platform REACH has been developing to allow less technical users to make their own offline maps with minimal maintenance. This map CMS pulls data from a managed GraphQL service and generates progressive web apps using a static site generator with Mapbox GL templates. Emphasis will be placed on the big picture of how these pieces connect together. This specific example will be framed in a larger discussion of how to best develop complex software for low-bandwidth environments. During over two year s worth of development in the field, it will tell the story of what different approaches were attempted, and why these failed in the humanitarian context from a performance and maintenance perspective.

In Finland, the government has decided to provide free of charge HPC resources for all universities and state research institutes for open research. For long time, these HPC resources were used mainly for chemistry, micro -biology, physics and material sciences. In recent years, we have installed a lot of GIS software and added open licensed GIS data to the HPC environment. We have installed to a Taito supercomputer FORCE, GDAL, GRASS GIS, PDAL, QGIS, SAGA GIS, SNAP, Taudem, Zonation, and Python and R with tens of spatial packages. The amount of data is currently about 10 Tb, including almost 300 different datsets mainly from Finnish governmental organizations. Besides supercluster, we also provide OpenStack-based cloud environment cPouta and OpenShift-based container cloud environment Rahti, for users who want to set up their web service or database. An important use case for these services has also been setting up training environment for university courses. The amount of users has increased with fast speed, being around 200 at the moment. More information from our help pages https research.csc.fi geocomputing .

Semantic 3D city models are one of the cornerstones of the so-called smart city applications, yet they are very difficult to manipulate edit update. While they are relatively easy to generate, their use and maintenance is limited by the available software and the cumbersome data model. Have you ever tried to write a CityGML file? And to parse one? We did, and we didn t like it. Therefore we created a developer-friendly JSON implementation of the CityGML data model. This talk will introduce CityJSON and its processing software cjio , which can be used as a CLI to chain operations, or its API can be used to generate features for machine learning.

Roads are essential in our day to day activities. In developing countries especially in Africa, the road sub-sector accounts for over 80 of the total passenger traffic and 76 of freight leaving a small proportion to water, rail and air transport. For this reason, they need to be in their best condition to increase the productivity of the region. The maintenance of the road network in Kenya is handled by five different agencies all coordinated by the government. Ideally, the process involved requires the collection of data for selection and prioritization purposes but this is rarely done due to the associated costs. This research aims at providing decision support based on real-time data from different sources including Twitter reports in addition to the data received from the different mandated agencies ensuring a data-driven decision making process. This will further offer comprehensive condition-based decision support that goes beyond the time-based nature of the current process.

A global 3D map works with data from various sources DEMs, orthomosaics, vectors or even 3D city models. The data is acquired by diverse sensors and processing techniques and varies vastly in resolution and geospatial coverage. Need for partial updates may arise as more recent or higher resolution data becomes available. Integrating all this data into a single, meaningful cartographic or VR product gives rise to the data fusion problem on an ever growing scale. VTS geospatial software stack provides a simple yet powerful way to tackle common 3D data fusion scenarios. In this talk, we will provide a hands-on demonstration.

Deep learning algorithms appear as a major breakthrough in GIS scope neural networks are able to do semantic segmentation on aerial images, so as to identify building footprints, roads, and so on. Oslandia is an opensource company studying and exploiting geospatial data, with an extensive R D activity about geospatial data science. This presentation will detail some of our Python routines in terms of geospatial data handling. We will describe our processes from raw data to prediction results. As the main step of the pipeline, machine learning techniques e.g. convolutional neural networks for image semantic segmentation with Keras produce valuable predictions. In the case of geospatial data, a postprocessing step is often necessary for displaying the results in web applications and GIS tools. A concrete illustration of our results will be provided through a light Flask application designed for demonstration purpose.

Deutsche Telekom AG DTAG revolutionises the planning process of fibre networks FTTH to increase number of connected households and industries dramatically, and shorten the time to market in general. For this goal DTAG, advanced geoprocessing algorithms including artificial intelligence AI automate the conversion of surface information into cost optimised potential trenches used in the fibre build process. The surface information is gathered by terrestrial laser scanners and photos as well as extracted through a complex analysis from aerial orthophotos. This surface information then is used in conjunction with other open data as an input for the provisioning of potential trenches needed for FTTH. The processing of these orthophotos as well as the calculation of trenches are handled by the open source actinia cloud geoprocessing engine. Actinia is a new OSGeo community project, offering a REST API to GRASS GIS. The actinia processes are scaled and implemented as a service in the Open Telekom Cloud. In this talk, we present the handling of large and complex input data in the FTTH-process. Focus is on the usage of actinia, and how actinia supports a core process of the largest German telecommunication provider.

Most popular mapping presentations today, ranging from clients to servers, show and discuss only maps in web mercator, the popular Mercator derived projection used by OSM as well as most commercial tiles providers. There is however an interesting, exciting world of map projections out there, that are still being used in a variety of context. This presentation will introduce the advancement made in GeoTools and GeoServer to handle those use cases, where users have a worldwide data set, and need to view all or part of it in multiple projections, some of which valid in a limited area, and requiring the software to perform a proper display of it on the fly, without any preparation. We ll discuss GeoTools GeoServer advanced projection handling manages to deal with these cases, wrapping data, dealing with the poles and the dateline, cutting on the fly excess data, densifying on the fly long lines as needed to ensure a smooth reprojection, for a variety of cases, ranging from seemingly innocuous datum shifts, maps having the prime meridian over the pacific, and the various tricks to properly handle stereographic, transverse mercator, Lambert conic and other limited area projections against world wide source data sets.

OGC and OSGeo have a long history of cooperation. Since many years we work together through a Memorandum of Understanding, which amongst other aspects provides OSGeo to a certain extent access to the OGC standards development process. The cooperation is meant to bring in requirements, ideas, and expertise from the OSGeo community to the OGC programs and processes and provides the OSGeo community with an insight into the current developments of open standards. OGC s Innovation Program IP provides a unique way to address real world scenarios and interoperability requirements. Via practical Technology Integration Experiments TIEs using demonstration implementations and deployments it helps to identify the necessary enhancements, gaps, and new developments in both, standards and software. This presentation gives an insight on how an OGC and OSGeo member can benefit from the active contribution in both organizations and how the IP Program can help with their projects.

Oskari http oskari.org GitHub https github.com oskariorg is a open source product for creating geoportals built on top of distributed spatial data infrastructure like INSPIRE and is currently incubating for becoming an OSGeo project. This talk is a year in review of what has happened on the technical side of the project and our experiences so far including these highlights - Migrating from jQuery to React and Grunt to Webpack - Mapbox vector tile support - WFS 3.0 support - Thematic maps with time series

In the Sahel, the survival of pastoral and transhumant communities depends directly on the access to water and pasture for their livestock. The availability of these resources is mostly influenced by the erratic rainfall conditions that characterize the Sahelian climate. To reduce the vulnerability to critical events, pastoral communities need access to reliable information on pasture, water, climate, animals concentration and disease outbreaks. As they live and move in areas with poor to no internet connection, Action Against Hunger ACF developed a system where data is collected from herders using a Telerivet SMS gateway and stored in a cloud environment. An automated script then geocodes the responses and creates a shapefile for each survey, ready to be plugged into QGIS for analysis. Currently 109 focal point nomadic herdsmen are spread over 4 Sahelian countries Mali, Burkina Faso, Senegal and Niger to collect and inform more than 18 core indicators on the pastoral situation. Cartographic data is then published on a public and open source web platform and transmitted to herders through radio broadcasts.

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PanAfGeo Pan-African Support to the EuroGeoSurveys-Organisation of African Geological Surveys EGS-OAGS Partnership is an ongoing project which supports the training of geoscientific staff from African Geological Surveys through the development of an innovative training programme. It aims to increase African-owned geological knowledge and skills, with the emphasis on cost-efficiency by using open source software. Among all trainings planned in the project under the umbrella of Geoscience Information Management work package contemporary methods and techniques were introduced in three modules Spatial Data Infrastructure, Using GIS and spatial databases and 3D Geological Modelling. Geological Survey of Slovenia with assistance of the African Minerals Geosciences Centre Tanzania, November 2017 and Geological Survey of Botswana Botswana, May 2019 organized two trainings on Spatial Data Infrastructure SDI , focused on how to make geological data interoperable and available to a wide range of stakeholders and end users. The interactive mode of learning through a systematic lecturing approach and practical exercises on computers facilitated a quick learning process in gaining new skills to use open source software.

CesiumJS is a fantastic library for 3D geospatial visualization on the web, but it can be a huge amount of work to build a full-featured application on top of it. Enter TerriaJS. It builds on top of CesiumJS - and is released under the same open-source license - while adding a responsive UI for exploring a catalog of datasets, charts and graphs, a splitter interactive comparison tool, automatic region mapping from CSV files, hooks to geoprocessing services, shareable story building, a 2D fallback based on Leaflet, and much more. In this talk we ll discover many of the advantages of using TerriaJS while exploring how we used open source and open standards to create the NSW Digital Twin Proof of Concept, a catalog and viewer of 3D datasets integrating live transport data, infrastructure above and below ground , building information models, and cadastral data. TerriaJS also underpins multiple other major projects developed by CSIRO s Data61 including Australia s nationalmap.gov.au and the Global Risk Map - built for the United Nations Principles for Sustainable Insurance Initiative. TerriaJS is widely utilised by independent map publishers with an active chat community on gitter.im and more than 450 GitHub stars.

How can interactive maps help people plan great travel experiences? Destination travel is a popular way to experience the world for millions of people. Until now, little research has been conducted to establish what this type of user might actually need in a map-centric application. Most current approaches do not emphasize the role of space and place in travel preparation to help users understand the spatial dimensions of their travel plans. In addition, most of the available trip planning systems are proprietary in nature. Our work seeks to develop an application that goes beyond providing support for simple itinerary creation. We present results from a user survey to assess key spatially-supported travel task needs and design preferences. This data helps characterize the core functional needs for a FOSS web-GIS application and accompanying user interface designed specifically for destination travelers.

Content of the European Association of Remote Sensing Companies 1. About EARSC 2. The Value in Earth Observations 3. Supporting Businesses - The Research to Business Solution 4. Open Source Initiative 5. EARSC in the Region

Korea s first- and second-generation new towns have been developed as self-sufficient cities that can accommodate about 100,000 people. However, many new town residents are commuting to a longer distance and feel uncomfortable about their last mile commuting trip. A viable option to address this issue is to introduce a shared mobility service to their last mile trip from a local transportation hub to their home. This presentation analyzes these last miles commuting trip using smart card data, navigation map subscribers travel patterns, and telecom carrier s Origin and Destination OD data on people s movement. And then author predict the converted shared mobility demand from the calculated existing last mile trip. Lastly, author propose sharing port locations for car sharing, ride sharing, electric bike and personal mobility such as kick boards, etc., based on predicted shared mobility demand. In this presentation, the author also would like to share the trial and error in the process of spatial analysis and design. Keyword Last Mile Commuting Trip, Shared Mobility, Personal Mobility, Sharing Port, Transportation Big Data

As part of the Open DFCI project Geographic Information Portal for the Defense of Forests Against Fires, the Entente Valabre for the Mediterranean forest wished to put in place a solution of offline viewing and editing geographic information. We will presents the context OpenDFCI web portal based on Lizmap, the firemen needs, the Geoppopy choice Raspberry Pi Standalone WebGIS Server, and the realisation.

OGC and OSGeo have a long history of cooperation, since many years we work together through a Memorandum of Understanding, which amongst other aspects provides OSGeo to a certain extend access to the OGC standards development process. The cooperation is meant to bring in requirements, ideas and expertise from the OSGeo community to the OGC programs and processes and provides the OSGeo community with an insight into the current developments of open standards. This presentation gives an insight into the development of xyz software PyCSW? and the implementation of the abc standard CSW? into the software. How does the standards development work in the OGC? What are the perceived benefits of participating in the Standards Program and why does it matter for open source software developers to contribute to the standards development.

QGIS Server has become a serious competitor in the realm of map engines for the web. Maps served by QGIS Server are designed in QGIS Desktop, and rendered by QGIS Server with the same rendering engine as QGIS Desktop. This makes it possible to leverage QGIS advanced styling capabilities, which, in itself, is a major advantage over its competitors. The QGIS community is serious at making QGIS Server production-grade. QGIS Server is now certified by the OGC, and CI processes have been set up for continuously assessing its OGC compliancy and performance. In production context an important aspect is the way QGIS Server is executed. There are many ways to execute QGIS Server. QGIS Server may be controlled by the Apache HTTP Server, or it may be run as an independent process in front of the NGINX HTTP Server. Some people use Docker, while others rely on more traditional systems. The way QGIS Server is executed and configured can have a major impact on the performance and robustness. After a quick introduction to QGIS Server this talk dives into the various ways of executing QGIS Server in production, discussing the pros and cons of each method. The talk is targetted to any person considering running QGIS Server in production.

Classical spatial information architectures have required a server for the dissemination of spatial information at vector and raster level. With the evolution of technologies and the empowerment of navigators, new alternatives to the dissemination of spatial information in vector and raster format have appeared. Thus, at present, it is possible to conform an architecture serverless that allows the publication of spatial information based on the following standards and technologies Vectorial information in .pbf format using the STAC and WFS3 architecture. Serverless raster information using COGs Cloud Optimised Geotiffs Rendering of large amounts of information via WebGL in the browser. This talk offers an overview of a full serverless architecture based on OpenSource technologies.

There has been an explosion of research into computer vision focused on deep learning. These significant advances in image classification, object detection and image segmentation have profound implications for foundational mapping applications. Recent open source initiatives such as SpaceNet have strived to direct more research and development towards remote sensing applications. GIS practitioners need to understand and engage the research community to help structure the application of these new techniques against geospatial problems. tt is difficult translate mission requirements to machine learning evaluation metrics, and vice versa. For example, in the computer vision community, most results are described by certain image specific metrics such as mAP, F1Score, Precision and Recall. Alternatively, a GIS practitioner may want to incorporate machine learning capabilities into their workflow, but not know what level of performance is necessary for the specific mission. We will discuss a framework for defining levels of practitioners augmentation that will allow end-user groups and machine learning researchers to better understand each other and help direct the application of these advanced algorithms against geospatial problems.

What are spatial reference systems and how to convert between them? What are various ways of creating transformation representation in Boost.Geometry and how to use them to convert between polygons on the surface of a globe and flat surface of a map? We discuss solutions to those questions highlighting some of the latest developments in Boost Geometry, the library that is currently being used to provide GIS support to MySQL. The implemented solutions allows to define transformations both in compile-time and run-time with known tradeoffs execution time vs compilation time, run-time flexibility vs compile-time error reporting, etc. Last but not least we discuss similarities and differences between Boost.Geometry and Proj4 libraries. The presentation is example driven thus emphasizing on the user perspective.

Building a geo marketing tool with open source geospatial software We want to tell about the journey we undertook to build a geo marketing platform using open source geospatial software. The platform is also powered using open data. We used Postgis, Open Layers, QGis, Geo Server and many more. We want to show how business value can be generated using open source software.

This talk will be about how to use OpenStreetMap and Wikidata in common data science questions using Python. We will go through the similarities and differences between OpenStreetMap and Wikidata, explore the structure of both data sets and go through some key figures and statistics. The goal is to provide a birds-eye perspective including a practical outlook. Some results will be presented in various ways the data sets could be utilized to fuel further data analysis.

How to compute the two closest points between two administrative units in a city and how this differs from distance computation? What happens when some points are on opposite antipodal sides of the globe? How can one create equidistant points along a trajectory modelled by line segments? We discuss solutions to those questions highlighting some of the latest developments in Boost Geometry, the library that is currently being used to provide GIS support to MySQL. The implemented algorithms are parameterized by strategies that control the accuracy-efficiency trade-off. The proposed solutions work for 3 different coordinate systems namely, cartesian, spherical and ellipsoidal each of which comes with its own advantages and limitations. Those are illustrated and supported by benchmarks. The presentation is example driven thus emphasizing on the user perspective while glancing at the algorithmic and implementation aspects of the library.

This talk highlights the issues that need to be addressed to successfully migrate from a GIS solution based on commercial products to a solution based on open-source software, in particular QGIS. What can be done? Where to start? What are the potential elements to convert? Which strategy to adopt? The talk will try to answer these questions by showing examples and lesson learned from successful Migrations. By presenting ad-hoc open source tools developed to solve specific problems and explaining how a migration can be tackled in cases where there are currently no specific tools we want to give you all the information needed to take informed decisions.

Vector rendering has been around for a while. Sending raw data and delegating the rendering to the web browser is a reality not only for privative providers but also available to modern Open Source web-mapping frameworks. Still, vector symbol definitions for thematic mapping is still a challenge. Several initiatives have tried to define their cartographic rendering rules language, but none of them has succeeded to be adopted by the broad community. At CARTO we chose to use Mapbox GL as the base technology for the map component, but we developed our WebGL library to render data on top of it to take advantage of our own server-side Maps API. Our CARTO VL and Maps API combo allows us to deliver rich visualizations with a very concise definition language also available as a pure JavaScript API that helps the web developer to define classifications, variables to use later at the web application, aggregations, animations and much more. In this talk, we are presenting the last advances on the development of our library along with a glimpse with the planned features in our roadmap and our plans to integrate it with Airship, our dashboard designing library, and CARTOframes, our python library for Data Scientists.

The present talk has the objective of describing the best practices for Metadata catalog setups, developed for the National Spatial Infrastructure of Argentina. Bringing together the notions needed to implement the 19115 ISO Standard, thinking about the processes of the geographic information in each organization but also how to do it using free and open source software.

pycsw is an OGC CSW server implementation written in Python and is an official OSGeo Project. pycsw implements clause 10 HTTP protocol binding - Catalogue Services for the Web, CSW of the OpenGIS Catalogue Service Implementation Specification, version 3.0.0 and 2.0.2. pycsw allows for the publishing and discovery of geospatial metadata, providing a standards-based metadata and catalogue component of spatial data infrastructures. The project is certified OGC Compliant, and is an OGC Reference Implementation. The project currently powers numerous high profile activities such as US data.gov geoplatform.gov, IOOS, NGDS, NOAA, US Department of State, US Department of Interior, geodata.gov.gr and WOUDC. This session starts with a status report of the pycsw project, followed by an open question answer session to give a chance to users to interact with members of the pycsw project team. This session will cover how the project PSC operates, what is the current project roadmap, what are the main features of current stable release 2.x as well as the future direction of the project towards pycsw 3.x that will implement search engine support as well as OGC CSW 4 in support of the emerging OGC API efforts.

After 35 years of of continuous development, GRASS GIS https grass.osgeo.org comes again with great improvements. Being a community-driven project, it offers geospatial analysis, earth observation, time series processing and visualization. It supports large raster files billions of cells , vector topology, and coupling with SQL databases. In our presentation we ll give an overview of the latest improvements. The algorithms for interpolation, solar radiation, water flow, and sediment transport have been parallelized. Experimental features include concave hull, vector algebra, point cloud import, DEM fusion and blending, object-based classification, Sentinel data processing, and spatio-temporal algebra. Furthermore, pest spread and urban growth modeling are now available. Importantly, Python 3 support has been added. Raster storage now benefits from new ZSTD compression. GRASS GIS supports GDAL up to v2.5 and PROJ up to v6. Easy cloud deployment is offered with ready-to-use docker images and an improved test coverage along with continuous integration. The code development will move to GitHub, including the issues and source code branches since 1987. A new, modern website is on the way, supported by a crowdfunding campaign.

Imagine having a leading-edge application that manages Transportation Networks. Every aspect is user configurable and it can deal with any type of network. You can define multiple linear referencing methods LRM that can be network-type specific or across all your network types. You can also define any type of asset or event and the users can locate or retrieve the location of these features. Although the server-side LRS engine is going strong and getting more intelligent, the same cannot be said for the UI. Which it s a thick desktop client, on underlying technology you cannot control and looks dated. This was the situation Bentley found itself in, a while back. The way we solved it, which is the subject of this presentation, was using a mixture of open and closed source components. The UI was moved to the web and the communication mechanism was re-written. Using Oracle Mapbuilder, map definition files were created and dynamically fed to MapServer to render the maps which were then displayed through an OpenLayers interface. The end result, Assetwise ALIM LRS, is a living proof of the advantages of using this best of breed approach which benefits the end user from both a commercial and technical standpoint.

vts-mapproxy is an open-source, C based, high-performance 3D geospatial data streaming server. Features include dynamic TIN generation from GDAL-supported DEMs, CesiumJS terrain provisioning, WMTS tiles with on-the-fly CS conversion etc. Though Mapproxy has been developed as part of vts-geospatial, it may be deployed on its own or even in hybrid operational architectures. In this talk, we are going to walk you through the common deployment scenarios, provide a hands-on demonstration of server configuration, and bring you up to speed with this little-known tool.

In the early ages of Computer Science, there was only Command Line Interface CLI . No mouse, no windows. But computers was already able to do more than just calculus. First of this kind -- in the early eighties -- GRASS GIS was able to manipulate, analyze and visualize geospatial data. All in CLI. But it was frightening for most users. CLI is terrifying. Then graphical interfaces arrived with windows and mouses. Computers started to be cheaper and more affordable. Almost everyone now can own and use a computer. With a graphical interface. Less scary, more accessible. And GIS followed the trend. ESRI created ArcMap, QGIS was born. Even GRASS GIS got a Graphical User Interface at some point. But isn t CLI making a come back ? Quietly ? Even in our small geospatial heaven ? Let s have a look at behind the curtain and see what CLI can offer nowadays with the Python and R datascience stacks. Let s look at CLI GIS, right in the eye By the end of the talk audience members will not be afraid of CLI anymore let s hope might want to learn a scripting language and explore console mode want to combine best of both worlds

Buenos Aires has a wide public transport network that includes more than 180 bus lines, 7 trains, 6 subway lines and 195 km of bicycle lanes that it offers to 4.5 million residents. and different alternative visitors when they travel. How I arrive How I get there is the official application developed for Capital federal for the moment that helps them move around the city in the most efficient way in public transport, automobile, bicycle, taxi or walking. It is available for Android and IOS and has more than 700,000 active users who do 1 million searches per week. It integrates real-time information on subways, trains and buses so that users know when the next transport will arrive and also the different rates to provide more transparent information and allow residents and visitors to make better decisions. The objectives for 2019 are to include predictions for all bus lines, currently only available for those who are already sensorized, to include the services of the Metropolitan Area and to open the code of the application to the community. In doing so, our goal is to promote replication in other cities, save resources, and improve it through civic collaboration, strengthen our services, make our government more transparent

Check where and how vectors OpenData as OpenStreetMap, are accurate enough compared to an aerial or satellite Imagery, with Deep Learning approach. And do it at scale, with RoboSat.pink as a Semantic Segmentation toolbox. Quality Analysis and Change Detection with low resolution imagery, and Feature Extraction on higher ones.

Mapbender is a content management system for geospatial data services and map applications. With Mapbender you can create applications without writing a single line of code. Mapbender is a flexible client for OGC services. Mapbender is based on Symfony, JQuery and OpenLayers. Mapbender is based on the frameworks Symfony, JQuery and OpenLayers. Mapbender has an administration web interface to do all the work or if you prefer YAML you can configure applications via YAML-file. Mapbender helps you to set up a repository for your OWS Services and to create individual applications for different user needs. An application can provide search modules, digitizer functionality, print more. You have access control and can provide applications for defined users and groups. This presentation will give an introduction on Mapbender and the possibilities.

The GIS market evolves at a fast rate. OpenSource GIS solutions have a much stronger maturity now than a few years back. We see a global trend with big companies modernizing their IT and their GIS solutions, seriously evaluating OpenSource GIS compared to their former proprietary softwares, and launching migration plans. OpenSource solutions often come as independant components though, sometimes making it difficult to comprehend the best way to build a full-featured and coherent stack. While we do not pretend to have the best solution for all, in this presentation we detail a proposal for a full GIS infrastructure. PostGIS and QGIS at are the core of this stack, and it covers a wide range of needs for end-users desktop, web, mobile Come and realize that yes, you too can migrate to FOSS4G

GeoEasy is a complex open source tool for land surveyors calculations. It has a quite long history, its development started in 1997, but new among the open source software. The license was changed to GPL in 2017. GeoEasy is available on Linux and Windows platforms, too. A graphical user interface GUI makes the program user friendly. Besides the basic surveying calculations it is suitable for network adjustment, local coordinate transformations. digital terrain models and regression calculations. The program supports several input electric field-books of total stations, csv, dxf and output formats csv, dxf, gpx, kml, vrml, ascii grid , so it can easily be inserted into user s work-flow and can fill the gap between the surveyor s data and GIS. GeoEasy is based on other open source projects among others PROJ, GNU GaMa, Triangle and available in five languages English, German, Czech, Russian and Hungarian . The source code is available on GitHub. The aim of the presentation is to make the user and developer community wider.

Indexed 3d Scene Layers I3S , is an Open Geospatial Consortium OGC standard for streaming massive amounts of heterogeneously distributed geospatial data for an interactive experience for web, desktop, mobile and embedded clients. I3S supports storage and transmission of very large data consisting of millions of discrete 3D objects with attributes, integrated surface meshes and point cloud data covering vast geographic areas. Ability to stream millions of triangles and billions of point cloud, regardless of platform constraints, has opened a new 3D graphics and visual computing front in the geospatial world, where there is an increasing demand for high quality 3D application. In this talk, we will describe principles and concepts for organizing geospatial data based on bounding volume hierarchy BVH , various spatial subdivision algorithms, efficient mesh representation, as well as exploring point cloud, mesh and texture compression decompression techniques, while keeping the content friendly to GPUs. We will also demonstrate various examples of the different layer types and profiles that are supported in I3S.

Colombia is facing a huge challenge to formalize land tenure in an efficient, massive and decentralized manner. The Swiss cooperation provides all different actors with a common conceptual and technical framework. On the one hand, a Colombian profile 1 of the LADM ISO 19152 was built, constituting the core of a Spatial Data Infrastructure for Land Administration IDE-AT . On the other hand, the INTERLIS language 2 guarantees interoperability for data formats and systems and is the basis of a free software ecosystem around the project QField 3 offers automatically generated forms to capture both geographic and alphanumeric data, as well as their associated documents. In the office, operators use a QGIS plugin called LADM COL Assistant 4 to migrate and structure field data into a LADM-COL database. The same tool is employed by cadastral authorities to receive, validate both topologically and logically , review and integrate the data incorporating changes into official systems. Finally, the new data is disposed in the IDE-AT to all actors of land administration. The project not only develops new software, but also contributes code to base projects such as ili2db 5 , QGIS Model Baker 6 and QGIS 7 itself.

A new era is upon us. The OGC service architecture is undergoing a clean break in an attempt to modernize geospatial API standards. REST, JSON and OpenAPI are now common terminology in emerging OGC API standards. This change will greatly lower the barrier to implementation of services, clients and associated toolkit. pygeoapi is a young and emerging project that is an early adopter of the new OGC API efforts. pygeoapi is an extensible geosaptial web API framework based in Python that already supports WFS 3.0. This presentation will provide an overview of the project, standards supported, extensibility plugin framework, real world implementations as well as future plans.

Using Open Street Mapping to map Incidence of Malaria among Vulnerable People of Luano District, central Zambia This is a Research project for the YouthMappers. This study investigates the incidence of malaria among the vulnerable people living in a remote area of Zambia. Since the area is prone to flooding, the incidence of malaria is very high. The study will use ODK a mobile based data application to collect data and QGIS to analyze the data. The study is important because the data that will be collected will be useful to the Ministry of Health and other organizations that have interest in community health and human security. The all research project is based on the open street map. This Research has 3 focusing objectives as follows a Map the incidence of malaria in Luano district using Open Street Mapping techniques. b Determining the burden of malaria epidemics in the area. c Determine the impact of the incidence of malaria on the socio-economic wellbeing of the people in the area.

When you choose a 3D rendering stack to work with your 3D city model, your best options are open-source CesiumJS, VTS Geospatial or iTowns. While it is not trivial to make a direct one-to-one comparison because each stack is built on slightly different philosophy, they all strive for the best possible performance. In this talk we will discuss the strong points of each stack and show a performance comparison between them carried out on the same data. Possibilities of interoperability and hybrid architectures will be also briefly covered.

Object detection and image segmentation have always been a big task in the field of geospatial sciences. With the growth of open satellite and aerial images, focus on this field is getting bigger and bigger. In the general computer vision field, there is one big term shaking the field in the last years - artificial neural networks. Artificial neural networks and especially their subtype called convolutional neural networks brought into the field of computer vision precisions which were just a few years ago still considered as not imaginable. We had decided to connect those two fields and test the use of artificial neural networks on satellite and aerial images. A suite of modules using convolutional neural networks was implemented into GRASS GIS.

The patterns of recent disasters in Korea such as typhoons, mountain fires and earthquakes are becoming increasingly complex and extensive. At the same time, there have been repeated problems with the government s ability of disaster response system. It is important to look at the disaster from a unified perspective in order to reduce the damage that will occur from the disaster and promote recovery. In addition, the integration of the disaster management agency s situation-specific work process and information is one of the important parts for rapid response to the situation and reduction of damages. However, as most of the information used to response with disasters is temporarily used, there is a lack of periodic updates or management systems. Therefore, the continuation and clarity of information up to the recovery stage are unclear, and no definite recovery is supported for the disaster affected areas. In this study, the implementation manual and history of the situation response to major national disasters in Korea are analyzed to identify problems in response to existing disaster situations.

Keeping geospatial web services operational is best paired with monitoring. Downtime is a key performance indicator, however so are service functionality and performance. The OGC has created a Quality of Service and Experience Domain Working Group to research and provide best practices, illustrating the importance of this topic. There are many HTTP monitoring tools that track general status and uptime. However, OGC web services often have custom reporting errors which are usually not considered. Examples include custom errors or null results based on database issues. In these cases a generic uptime checker will assume the service is functioning correctly though the response says otherwise. These issues illustrate the value of OGC-aware service monitoring and have been missing from the FOSS4G ecosystem. Until now. GeoHealthCheck GHC is an OGC web services monitoring framework. GHC is written in Python as part of the GeoPython GitHub Organization. GHC is a monitoring engine that executes health checks and a web application which reports on key performance indicators. GHC also supports a plugin framework for specific requirements. This presentation will provide an overview of GHC as well as upcoming features and future plans.

GIS systems and ICT technologies are often at odds with each other for historical reasons. GIS software has developed in niches, predominantly through monolithic and proprietary systems. The growing need to expose geodata on the web, e.g. sparked through open data policies, leaves developers with a range of options. Clients may request server-side solutions such as OGC services such as Web Map Service, Web Feature Service and the likes. These solutions require a map server. Another option for instance is a direct database query that requests relational data through PHP. Since almost all big database management systems are spatially enabled today Oracle Spatial, MS SQL Server, PostgreSQL PostGIS, MySQL there is per se no need to implement a map server at all. A third option is to use web clients native data formats such as JSON GEOJSON. This may either be requested by a REST API, a JSON-capable DB e.g. MongoDB or through flat files. Which of these options serves my purposes best? This very much depends on the advantages of each of these choices and what your infrastructure is trying to achieve.

Migrating to opensource is a No-Go, some say... No support, No warranties, No sales reps, No help, just a bunch of Garage companies... or is it, migrating to opensource is a no brainer No licenses, No costs? When evaluating a migration to opensource we should definitely consider all the points above, and while all the negative views are often used to spread FUD 1 by proprietary software vendors, seeing the absence of licensing costs as the main advantage of such a migration can and probably will lead to uninformed decisions and unexpected results. While it is true that an opensource solution has a generally much lower TCO 2 , to effectively use opensource tools in an enterprise environment, other aspects like product ownership, responsibilities and re- training need to be considered to ensure a painless move to the world of No lock-in, agile projects and technological advantage. 1 Fear, Uncertainty and Doubt 2 Total Cost of Ownership

For the last four years, the Transitional Justice Working Group s mapping project has interviewed North Korean escapees living in South Korea in an effort to determine where the victims of the regime have been killed and buried. This talk will present the mapping system we ve developed, the challenges we ve faced building it, and how many of these challenges have been partially or fully addressed using free and open source software and data FOSSD . Our first two mapping reports and a few data sets of sites suspected of containing documents can be found at https en.tjwg.org mapping-project-north-korea .

QWC2 is a responsive web mapping client optimized for publishing maps with QGIS Server. A modular architecute based on micro services running as Docker containers or WSGI modules allows scaling from basic setups up to highly customized service environments.

Oskari www.oskari.org is a multi-purpose web map platform optimized for utilizing modern spatial data infrastructures. Currently incubating to become an OSGeo project Oskari supports a wide variety of OGC services including the WFS 3.0 draft specification. However Oskari s speciality is it s support for statistical APIs and the thematic mapping tool. The thematic mapping tool in Oskari allows users to create dynamic thematic maps from online data. Different visualizations, classifications, charts and time series are supported. This talk will introduce Oskari and showcase the thematic mapping tool.

After initial deployment of Croatian SGA Geoportal, it made a great impact on the usage of GIS viewer and OGC web services in the country. After a few thoushands registered users, it s time to analyze who is using it and how much. Also, there was a need for the administrators to be able to have reported on usage, and to deal with users and groups authorization roles. We achieved this with the combination of proven solutions such as GeoServer, Geofence and custom code.

GeoRasterLayer is a plugin for Leaflet that enables users to add GeoTIFF files to their web maps. By removing the need for a tile server, GeoRasterLayer can save users a lot of effort and money, but building the plugin didn t come without its challenges. This talk walks through the algorithm for visualizing large GeoTIFF files on a web map while boosting performance. Specifically it will discuss the algorithm implemented for the Leaflet plugin, but the lessons learned can apply to any web mapping library. It will cover topics like cloud optimized geotiffs, nearest-neighbor interpolation, raster resolution, and projections.

Spatio-temporal datasets like sensor-data or floating car data can be rather overwhelming because they quickly get in the order of billions of records. In this talk I show how we made billions of floating car data entries into a workable datastream that outputs visually attractive and useful maps and graphs over a routable network. I will start by summarizing the relatively new OS clickhouse database and how this column store helps in dealing with massive temporal datasets. Next I explain how we set up the pipeline with postgres gis, pgrouting and R in order to create analysis in seconds and share some interesting results that you can get from these large trafficdatasets. The talk will be relatively code-focused mainly SQL and R but also show some ind-depth analyses of car data.

BruGIS is a cartographic tool developed by a public interest organization Urban.brussels and used for the management and planning of the territory in the Brussels Capital Region. BruGIS Data Management is a QGIS client to update spatial data published on the BruGIS platform. Implemented with Open Source technologies QGIS, GeoServer, Django, Python, etc. it provides a centralized, uniform and exclusive way to edit spatial data online. After a short overview of the architecture, we ll focus on the demo of QGIS client using 2 plugins admin and user . We ll be able to create a new user and assign him editing rights on a layer. Then edit the layer allowed, modify, validate topological and finally submit it. Lastly, we ll publish the modified and validated layer. The path of the modified table will be followed through the DB environment of BruGIS. The organization of data synchronization through the three environments production, staging, diffusion will be briefly addressed. The purpose of this demonstration is not to go into the technical details of the production flow but rather to exemplify the use of Open Source technologies within the framework of the daily management of the urban data in a public administration.

Identifying the correct location of channel heads remains a challenging aspect in hydrogeomorphic analysis. Though field mapping is a reliable method, this may become infeasible for large basins. High resolution remote sensing data provides another way to predict channel heads. Existing literatures have suggested use of digital elevation models DEM to extract channel heads by applying an area or slope-area thresholding method. However, channel initiation process is more complex and depends on other factors like topographic curvature, land use land cover etc. In this study, we have used machine learning models to extract channel heads from freely available 1 arc second SRTM DEM data for a basin in the Lesser Himalaya. We have used upstream area, local slope and local curvature as features in our models. Actual channel heads were digitized manually from high-resolution 1-2 m IKONOS imagery available on Google Earth. Decision tree model generated the best results with a F1-score of 0.45 and correctly predicted around 78 of the channel heads from the test set along with a high number of false positives. Future work will be applying this method on available high-resolution Lidar-derived DEM, with more field-mapped channel heads.

Compared to other industrialised countries Germany ranks rather low https de.statista.com infografik 3553 anteil-von-glasfaseranschluessen-in-ausgewaehlten-laendern when it comes to the availability of broadband internet via fibre. In order to change this and to cope with the needs for the new mobile standard 5G, Deutsche Telekom AG DTAG revolutionised the planning of fibre networks. The main goal is to shorten the time to market dramatically by automating processes. A brand-new world comprising lots of geodata and heavy geoprocessing is needed to substitute previous manual tasks. The newly developed SDI shall respond to criteria, such as Best of breed software Flexibility and adaptability Deployability via automated pipelines as well as scalability Sustaining a pluridisciplinary team working in an agile environment SCRUM and SAFe Security DTAG selected open source components such as geOrchestra, SHOGun and Actinia to be deployed on a docker orchestration system. A large team of open source contributors were brought together to enable the launch of this major SDI. This talk will present how FOSS4G components and teams can be effectively bundled together in order to achieve industry specific goals.

Storing and distributing large data sets is still challenging. There are issues like corrupted files, bandwidth limitations or just unreliable networks. This talk is an introduction into peer-to-peer technologies and IPFS . You will learn how these technologies can help you with the previously mentioned problems and why it is a great fit for your geodata. Such a peer-to-peer network doesn t necessarily need to be a public one, everyone can participate in, it may also be used to distribute the data between trusted parties. Currently, there is a Go and a JavaScript implementation that even runs in the Browser of IPFS available. IPFS is fully open source and licensed under the MIT Licence soon MIT Apache2 dual licence . IPFS https ipfs.io

Geopaparazzi is an application for field surveys and digital field mapping for Android devices. Its simplicity and the possibility to use on as good as any Android device makes it a trusty field companion for engineers and geologists, but also for tourists who wish to keep a geodiary and any user that needs to be aware of his position even in offline mode. In Geopaparazzi it is possible to take notes with text, pictures and sketches and place them on the map. Notes can also be complex and form based in order to standardize surveys in which many people need to be coordinated. Recently we started the development of the Geopaparazzi Survey Server GSS , a web application that allows geopaparazzi users to synchronize their projects data with a central server, together with its companion, an Android app named Geopaparazzi Survey Server Sync GSSS available on google play to synchronize the data of the Geopaparazzi projects to the server. The presentation will show the main features of Geopaparazzi, the tools available in gvSIG, the Geopaparazzi Survey Server, the Geopaparazzi Survey Server Sync and some examples of customization of the application for different use cases.

We have a well developed and respect for procurement of software and services. How does open source effect what you are shopping for? This talk introduced some of the procurement advantages, trade offs, and options to consider when introducing open source into your organization. A key theme is the additional purchasing power open source offers, additional transparency afforded, along with the responsibility and benefits available through greater control. This talk looks at what makes the perfect hotdog, including several popular options and the authors regional favourite.

From the data activism in Mexico OpenStreetMap, Geochicas, and individual , I sought to make the civil and public actors aware of the use of data, the analysis, the research of rich and varied data, the integration of data from the citizens, in particular with a Gender perspective. In Mexico, where gender-based violence is a serious obstacle in women daily life and development, and where data is poor in general to show social issues and improve policies, it s a real challenge for civil society and academics to lobby policies making through data.

ZOO-Project is a WPS Web Processing Service platform which is implemented as an Open Source project and following the OGC standards, it was released under an MIT X-11 style license and is currently in incubation at OSGeo. It provides a WPS compliant developer-friendly framework to easily create and chain WPS Web services. This presentation gives a brief overview of the platform and summarizes new capabilities and enhancement available in the new version. A brief summary of the Open Source project history with its direct link with FOSS4G will be presented. The new release comes up with a brand new R and HPC support, updated SAGA-GIS support and more other new features. The new functionalities and concepts available in the latest release will be presented and described, also highlight their interests for applications developers and users. Apart from that, various use of OSGeo software, such as GDAL, GEOS, PostGIS, pgRouting, GRASS, OTB, SAGA-GIS, as WPS services through the ZOO-Project will be presented. Then, the ongoing developments and future innovations will be explored.

Parliamentary elections were held in Finland in April 2019 and to better visualize the results, I went on a quest to generate polygons for each of the 1937 voting districts. Voting district polygons are not open data except for few major cities, but address points for buildings are open data in Finland and they also have information about which voting district each address belongs to. The talk aims to give examples and tips of how to work with bigger datasets with OSGeo tools and how to deal with errors and uncertainties in your data analysis.

Orbica and partner Catalyst developed a user-friendly web application to live stream New Zealand Transport Agency s database of 1.5 million crash records on a map so that transport planners and engineers with no SQL knowledge could build complex stacked spatial and aspatial queries with drag-and-drop, ease of use and intuitive controls. The road safety community is using CAS to output complex reports and collision diagrams to help them target and advocate for road safety improvements. The following technologies were used for CAS A React, Leaflet and plugins and PIXI.js webGl-based front-end PostGIS SQL server spatial databases PHP, SilverStripe, web socket-based layer Orbica mixed and tweaked several existing Leaflet and community plugins to create comprehensive modular components for the GIS aspects of the CAS solution. Main features included A fully edit geometry standardised component made from existing community plugins and new special features Map data visualisation heatmaps, clusters, PIXI webGL special rendering features Standalone schematic GIS data visualisation component based on dedicated 2D graphic PIXI.js system. Relevant features components might be shared with the open-source community soon.

Although always a popular format, with the recent specification of Cloud Optimized GeoTIFFs, the TIFF format has had a renaissance as a cloud enabled storage format. Traditional processing software like GDAL took advantage of that, but is not available for browsers and had to rely on server-side processing instead. The geotiff.js library provides a pure JavaScript implementation of the TIFF format and allows the efficient exploitation of large raster datasets with the full range of values and metadata. In this talk, the architecture and techniques used that makes geotiff.js access so efficient will be explained. Additionally recent additional functionalities and developments by growing community will be highlighted. The COG-explorer is a demo application to show the capabilities of geotiff.js by allowing to browse TIFF files on top of an OpenLayers map. It allows to access large TIFF files on remote sources and can combine multiple files and rendering mechanisms to generate visually impressive images. It provides advanced and efficient rendering techniques using WebGL and takes full advantage of the layout of cloud optimized GeoTIFFs and the capabilities of geotiff.js.

A lot of public organisms, from governments to global funds are investing into more and better reproductive health care services in low income countries. This means measuring availability, quality but also accessibility of key services for the target populations. In particular, taking into account the population distribution and the travel time health systems users need to reach the nearest health center is key to identify challenges to access these services. We ll show how we got from a single question How many women between 15 and 35 years old live more than one hour from maternal care to getting and answer by combining availability, quality and geographical accessibility. We now further this work by building a routine computation platform to offer the most updated data to decision makers at any time. We ll share how the modeling and computing strategy evolves in low-availability and low-quality data environments.

Data collection is an essential part of most GIS users. There are several mobile apps open source and proprietary which can be used carry out such tasks. We have extended QGIS libraries to take advantage of QT Quick framework https doc.qt.io qt-5 qtquick-index.html and introduced QGIS Quick library https github.com qgis QGIS-Enhancement-Proposals issues 109 . QGIS Quick library has become a part of the official QGIS project and it adds the possibility to create custom mobile apps. Just like plugin architecture for desktop QGIS allows great flexibility to introduce custom functionality, QGIS Quick library provides similar groundwork for mobile mapping apps. Input https github.com lutraconsulting input a free and open source mobile app has been developed, leveraging on the new QGIS Quick library.

State of deegree 2019 provides an update on our community and reviews the latest and noteworthy features of deegree webservices https www.deegree.org . Initiated in 2002 the OSGeo project deegree has developed over the last 17 years to an important building block for Spatial Data Infrastructures SDI . As the implementation of the INSPIRE Directive is fully underway it requires stable and mature software solutions based on OGC standards such as GML, WFS and WMS. One of the goals of the deegree project is to provide implementation of those standards. In this talk, after a short overview of the current status, we will focus on the recent improvements available in deegree such as GeoJSON support and our roadmap for Java 11 and OpenJDK. Finally, we will explore potential future directions for the project and show what future developments are currently planned such as the support for the OGC WFS 3.0 standard.

PyWPS is an open source, light-weight, Python based, implementation of the OGC Web Processing Service WPS standard. It provides users with a relatively seamless environment where to code geo-spatial functions and models that are readily exposed to the Internet through the WWW. Initially started in 2006, the current 4.x version takes advantage of the state-of-the-art Python infrastructure in order to provide new and useful features. The current version implements the WPS 1.0 standard entirely. The WPS 2.0.0 and it s features is currently on-hold status. PyWPS offers a straightforward WPS development framework with the increasingly popular Python language. Python offers access to a vast array of code libraries that can be easily used in the processes, in particular those for geo-spatial data manipulation, e.g. GRASS, GDAL OGR, Fiona, Shapely, etc., but also to statistics packages e.g. rpy2 for R statistics and data analysis tools e.g. pandas . PyWPS offers storage mechanisms for process inputs and outputs and spawns processes to the background for asynchronous execution requests. Talk will present features of the last 12 months of development and outline the roadmap for next versions of PyWPS.

Augmented Reality when connected persistently to the physical world through 1 1 scale 3d real-time updated digital twins allows us to create a shared programmable space or superverse that lets us paint the world with data and let our digital lives escape from the small glowing rectangles into the real world around us and experience it together. This technology has been named AR-Cloud. In October 2018 the Open AR Cloud association OARC was formed to brings people together to build an open AR-cloud ecosystem that works for everyone, everywhere on every device and every platform while respecting the right to privacy, freedom, and safety of all the users. On the 12th of February 2019 12 working groups is being formed to solve some of the hardest problems in spatial computing. The talk talks of the promise and peril of AR-cloud technology and OARC ongoing work to try and make this technology reach its potential to do good in the world. We think this is best done through open standards processes, open source, transparency and respect for the digital rights of individuals.

With the increase of sensor capabilities and popularity of unmanned aircraft systems UAS there has been an increase in the detail and types of digital elevation models DEMs that can be produced. With these improved products and their 3D characteristics, more can be derived from their analysis including the detection and location of important changes over time. The analysis between two temporally different DEMs, digital terrain models DTMs or digital simulations models DSMs can indicate important factors such as erosion, structural damage, or deforestation. The talk will discuss a project that focuses on the suitability of creating a plugin for QGIS to automate the process of performing 3D change detection with these data types. It is expected that the need for an intuitive and automated process for this type of analysis will only increase with the feasibility of DEM generation and collection with new software and UAS popularity.

Govmap - Israel s national geospatial portal. The national geospatial portal managed by the Survey of Israel, contains various governmental and public information and provides extensive applications of various aspects such as data collaboration, planning, weather, transportaion etc. Our main project these days is a migration of the geo-portal to open source technology. The talk will elaborate about these efforts and the uses being made with open source software.

As intention to facilitate faster establishment of cadastral databases, different projects were initiated to support rapid automated approach for boundary extraction from remotely sensed imagery. Such project is the EU funded its4land , developed as a joint venture between several organizations including University of Twente. Despite the current advancement of the modern segmentation algorithms, there are imperfections in the output that have to be further manually filtered out. Therefore, a QGIS plugin called BoundaryDelineation was designed and developed to support an interactive delineation of visible cadastral boundaries to speed-up the process. The plugin supports the full pipeline of loading, picking and drawing segments, and saving to a remote server the final validated output, which allows rapid reduction of the mouse clicks compared to manual delineation, which affects the overall speed of creation of cadastral entities. The presentation will consist of a general overview of the its4land project, and main focus on the usage of the BoundaryDelineation QGIS plugin as a more general-purpose assistant in boundary delineation.

All of you are OpenSource software users. While you know how the software runs, you may not know what is behind the mirror. Nowadays, most OpenSource software are written by employees of companies. There are plenty of organizational models for these companies. In this presentation we drop the mask and talk about the principles driving our own organization. As a matter of fact, we try as a company to have a strong coherency between what we do - OpenSource software - and how we do it. Transparency and asynchronicity for example are among the principles laying the basis for our day-to-day work. We are part of the Opensource community at large, and we have a very similar organization. During this talk, we explain the way we work, our motivations and and how a distributed team made of individuals joins forces to produce OpenSource software and try to have a positive impact on its environment.

After collecting data on the field, it needs to be brought back to the office for analysis, visualization and archiving. Depending on the amount of field workers involved and the complexity of your geo data infrastructure, different approaches need to be taken for an optimized workflow. In this talk, you will join Maya the beekeeper along with her friends from different organizations on their journey to collect and integrate data. From a one person biological survey office to an enterprise level asset management company with hundreds of field workers collecting in parallel, this talk will give you the basics to get started.

The GeoNetwork Opensource project has been an OSGeo project since a decade. It is a catalog application facilitating discovery of resources within any local, regional, national or global SDI. Users can register their spatial datasets, services, maps, sensors in a central catalog. Others can query the catalog to find resources via the website or directly from a GIS application, like GeoNode or QGIS. The catalog records can also be ingested by other catalogs and search engines to facilitate wider discovery. In this presentation the core developers introduce you to recent developments in the community. GeoNetwork adopted a twice-a-year lifecycle, so we ve released the 3.6 and 3.8 version which had some interesting new features like metadata workflow, history, INSPIRE metadata guidelines 2.0, DOI, user searches, json and json-ld encodings, inline validation, WFS 2 and 19115-3 2018. Currently we re in a major refactor to migrate the catalog to use ElasticSearch as a base search index for the 4.0 version.

An overview of the GNOSIS Map Tiles GMTs open specifications for tiling geospatial data developed by Ecere in conjunction with OGC Testbed 13 and 14 and the latest draft specifications can be found in OGC Engineering Report http docs.opengeospatial.org per 18-025.html GMTSpecs GMTs can contain different types of data such as vector data, satellite imagery, coverages elevation models, point clouds and either embedded or referenced 3D models e.g. using Ecere s E3D format, or another encoding such as glTF for example . GMTs are compact, ensure proper vector topology, and minimizes the time required to load onto GPU for hardware accelerated rendering.

Orfeo ToolBox OTB is already used in numerous Remote Sensing geospatial processing chains, throught its C or Python interface. OTB users can also deal with almost 100 applications through their own graphical interface or via QGIS. We would like to talk about future interfaces for OTB, especially about Python interface Conda environnement, Jupyter notebook for demos, etc. and how OTB can interact with other commonly used environments in the geospatial community.

In this talk we will discuss and show how to use the Spatially enabled DataFrame or SeDF within the Python API for ArcGIS. This data structure is built upon the Pandas package and allows users to create the same geo-spatial workflows regardless if they are an ArcGIS Esri or an Open Source shop. The talk will showcase some of the more interesting functionality such as data manipulation, visualization and performing analysis on data.

In close collaboration with UNICEF Uganda and GeoGecko, KCCA spearheaded the development of an online open source portal to provide a visual presentation of key social services available in Kampala. The tool is built on the backbone of four pillars aimed at i identifying key partners operations and the nature of their engagement in Kampala, ii mapping infrastructure points designed to deliver predetermined services e.g. schools , iii summarizing parish level specific socio-economic profiles, and ultimately iv offer insight into the lives of young Ugandan adolescent girls accessing such service in Uganda s capital city. The tool is built with Open Source tools and can therefore easily be adopted to other projects, regions and be implemented in another context. During this presentation we will i walk through the portal and explain how it is created, ii describe how it is currently used, and most importantly iii discuss how it can be improved and adapted to other sectors at scale.

Community mapping efforts in Dar Es Salaam are enabling local leaders to leverage information about the most granular level of community administration that exists in Tanzania. Originally intended to demarcate 10 households ten-cell boundaries , these shina boundaries now encompass hundreds of households in informal settlements and are already being used by one of Dar s largest hospitals to track patients origins at an unprecedented resolution.

We will discuss the implementation of a full featured WPS service built upon the Qgis processing toolbox. From this, we will show how we can use the algorithms managed from the desktop Qgis directly on a serveur backend. Will we show use case from the context of a deforestation study that uses processing models to make projection of future deforestation states. The results of the model are then used from server side to expose maps and indicators to decision makers.

Having worked with geospatial technology in the insurance industry since 2003 I had my eyes opened to open source at FOSS4G 2013 in Nottingham. I came away excited and energised by what I had seen and it planted the idea for how we could do things differently. 2 years later I quit my day job as a contract solutions architect and took a big pay cut to create Addresscloud, our aim to tackle the complex geocoding challenges faced by UK I insurers. 3 years on we have gone from strength to strength and are now a profitable, rapidly growing business with a portfolio of customers from startups to FTSE 100 companies. In this talk I will discuss our journey, challenges along the way and our lessons learned.

You are probably familiar with the terms artificial intelligence AI , machine learning ML and deep learning DL . However, do you really know how they work with GIS? In this session, we will use Python and various libraries to illustrate how artificial intelligence is used to detect deep and complex spatiotemporal patterns in data, and how to predict geospatial events of interest. This talk will cover several scenarios of applying the latest machine learning and deep learning techniques to geospatial data, including applying object detention using satellite imagery, detecting objects in videos and other workflows to incorporate these data sciences.

Ushahidi designers have been investigating what makes communities strong, resilient and what empowers them to feel like they are an integral and valued part of a whole. Building on a research led hypothesis, that more communicative and integrated communities fair better and recover faster when disasters like hurricanes, floods and terrorist attacks hit, we are building upon this statement from users We want to help people in a crisis and be helped back from our own Now the Ushahidi product design team are finding a way to foster connections between people to help each other in little ways using technology and innovative processes like Machine learning, automatic systems and digital social trust, then we believe that we can create more of these resilient communities world wide. We ll cover our recent in-depth field study in Nairobi communities and our wider community research worldwide. From Government services, Ambulance and Police to lesser known organisations like urban search and rescue USR , SARAID, Team Rubicon and The Red Cross and then on to the communities of regular people that are supported b services and organisations and how they participate in the safety and growth of their communities

Having an enormous amount of data available can be difficult to handle. At EOX among other things we create global satellite basemaps https s2maps.eu , therefore we understand that saving resources increases reliability of any tool, product or data. While working on the basemaps we found out we can derive new products for our customers multispectral cloud free mosaics https cloudless.eox.at . Usually, a user is confronted with a large number of single scenes or products with varying degrees of quality and cloud coverage. To make this first step of using EO data easier a good extraction method and data bundling becomes more and more important to make it easier to access Earth observation data without having to dig through the archives. Such dissemination options allow everyone to easily access large datasets which are reduced and prepared for instant analysis, machine learning, validation, etc. There are some guidelines which try to define analysis ready data ARD , however with no clear definition at hand. We are utilizing the experience we have gathered while working closely with our customers. These range from scientists, industry and various national agencies. Every single one of these have their own specifications and

From the 80s, while the climate changes issue starts to rise interest, due to financial constraints and the advent of satellite era, monitoring networks begin to decline 1 . Remote sensing with its capability of global monitoring put on a side the direct observation that often requires high investments at local level for installation and maintenance. Nevertheless in-situ monitoring is essential for a large number of actions that requires continuous, long-term, high-frequency, and accurate data as well as to calibrate and validate remote sensing data. With the advent of IoT in situ monitoring is getting back the necessary attention and more people, also in the field of FOSS4G, are starting to work in this field. The IstSOS development team is working since the 2009 to bring in-situ monitoring back to the golden ages fostering the interoperability and the data management best practices. Several projects are here presented to demonstrate how istSOS, IoT and openness can contribute to this goal through a number of applications in the fields of agriculture ENORASIS , water management hydromMetTI, FREEWAT, TRESA , risk mitigation SITGAP, MIARIA , health ALBIS , development and cooperation 4ONSE .

According to the recent survey that we conducted in Mukuru informal settlement here in Kenya. Total organic waste per house hold is 11.065 kg per week. Toxic waste is 1.089 kg per week. Recyclable waste is 3.5 kg per week. Total average waste per week is 15 kg the question is where does this waste go?? Over 50 of respondents claimed that there are no efforts being made to deal with waste. Again what happens to this waste?? 18.9 bury their waste placing it in drainage or undeveloped spaces. This is posing a great danger to our environment and beyond. During rainy seasons this waste is carried away blocking drainage and some gets its to the rivers and all the way to the sea. Note in Nairobi Kenya alone. We have 57 informal settlement and Kenya as a whole got 167 informal settlement. How many tonnes of garbage are produced in this areas. Which are defined as SLUMS.

With QGIS 3 and the processing module refactoring, it is easiest to add tools without the complexity of plugins. We will discuss the way to add algorithms in python to QGIS and the advantage of using processing. We will also discuss the limit and future of processing modules. As described by Victor Olaya in 2016 during the 2nd International QGIS Conference, all the QGIS tools should be algorithms.

Spatial information and its treatment has evolved from the centralization and publication of this in a single repository via standards such as WMS to the service of the information as it is to be processed by browsers via WFS. However, the WFS protocol has some shortcomings in terms of performance when it comes to the format in which to serve the information, giving way to more optimal formats for the service of vector information such as .pbf. This format allows the transmission of large amounts of information to the local browser client. This information, increasingly larger, requires the use of specific rendering libraries such as WebGL. The present work shows a state of the art of the existing WebGL libraries and a real test field on which the data have been tested, showing the results obtained and the most optimal solution. The following frameworks have been considered for the representation of large amounts of data OpenLayers Mapbox GL js Deck GL kepler.gl Resulting on the tests executed to represent large amount of data, Mapbox GL has revealed as the more flexible tools in terms of performance and capabilities.

In the past, desktop GIS were necessary to handle complex spatial business decisions. This lead to problems with data management, model updates and an increased cost to the organisation in hardware and often software maintenance. As organisations move to more cloud based solutions and provide staff with thinner client machines chrome books etc. it becomes harder for staff to manage more complex geospatial problems. The Open Geospatial Consortium OGC developed the web processing service WPS standard in 2005. It provides rules for standardizing how inputs and outputs requests and responses for geospatial processing services are made. The standard also defines how a client can request the execution of a process, and how the output from the process is handled. It defines an interface that facilitates the publishing of geospatial processes and clients discovery of and binding to those processes. This talk will present case studies of how Astun Technology has used the OGC WPS standard, as implemented by GeoServer, to allow users of web based mapping applications to carry out advanced spatial operations and allowed them to implement complex business logic without the need for specialised hardware or software.

OSGeoLive is a self-contained bootable DVD, USB thumb drive or Virtual Machine based on Lubuntu, that allows you to try a wide variety of open source geospatial software without installing anything. It is composed entirely of free software, allowing it to be freely distributed, duplicated and passed around. It provides pre-configured applications for a range of geospatial use cases, including storage, publishing, viewing, analysis and manipulation of data. It also contains sample datasets and documentation. OSGeoLive is an OSGeo project used in several workshops at FOSS4Gs around the world. OSGeoLive 13.0 will be released at the end of July 2019 ready for FOSS4G 2019. Still working on the improvements initiated for OSGeoLive 12.0, it will embedded latest stable version of a vast choice of Open Source Geospatial software. The work on the geodata science with Python and R stacks have also been continued. Documentation is also a big building area and we made a proposal to Google Season of Docs in order to get it even better. We would like to encourage people around the world to help us translate it. This presentation will reflect what we did for OSGeoLive 13.0, what choices have been made, what we plan to do for 14.0 and after.