Chaos Computer Club - archive feed

The WFS 3 specification introduces a number of significant changes in the protocol compared to older versions, to mention just a few: * Small core with basic functionality, extra functionality provided by extensions * OpenAPI/RESTful based * GeoJSON first, while still allowing serving data in GML * No mandate to publish schemas for data Come to this presentation to have a quick introduction to this new protocol version, get updates on its implementation in GeoServer, and get a hint of how the protocol is going to evolve in the future, also based on the June 2019 London OGC API hackaton. None about this event: https://talks.2019.foss4g.org/bucharest/talk/HPCD8D/

Over the last several years, Element 84 has been centrally involved in NASA’s transition to the cloud, supporting their Earth Observing System (EOS) and Earthdata programs representing over 20PBs of remote sensing data and preparing for an order of magnitude increase with upcoming missions. Based on this experience, and backed by a variety of great open-source software, we have created a self-service remote sensing data management platform for smaller projects and teams. Cubesatdata.com is designed to support data management following downlink of L0 data and includes end-to-end system architecture, cloud archive optimization, data pipeline processing and archives of convenience, as well as a robust user-interface for search, discovery, and visualizations. This managed service provides a lower cost of entry for academic institutions, nonprofits, and other small businesses who lack the domain expertise or the desire to support an end-to-end data management system. This talk will focus on how the Cubesatdata.com service works and what open-source software made it possible. None about this event: https://talks.2019.foss4g.org/bucharest/talk/BPV3CK/

There were no slides recorded due to a system failure. We are sorry for that! Understanding and predicting the distribution of life on Earth represent major research tasks in the face of global environmental change. These tasks often require the integration and analysis of big and diverse datasets that reflect properties of wild organisms and their abiotic environment across space. I will demonstrate the use of geospatial free and open-source technologies for exploring, analysing and predicting biodiversity patterns across the globe, focusing primarily on the geography and drivers of genetic diversity in terrestrial mammals. I will also stress the importance of data sharing in nature conservation through interactive visualisation frameworks. None about this event: https://talks.2019.foss4g.org/bucharest/talk/7BFHNF/

The last few months have been quite a ride for our good ol’ web mapping companion. What should have been a peaceful rest after a lengthy refactoring in version 5 did in fact end up being an involved rewrite of its rendering code: better **performance**, nicer **vector tiles**, smoother **WebGL**, more options and even some Mapbox goodness in there. In this talk we will take a quick tour of all the new stuff in OpenLayers and talk about the *why*s and *how*s, as well as what lies ahead of us. Love maps? We do too, come along! None about this event: https://talks.2019.foss4g.org/bucharest/talk/SLW83K/

The W3C Maps for HTML Community Group is working to define a (new) "map" HTML element that would be used to define map contents in a web page and would be directly supported and rendered by web browsers in a standardized way. All this is done by building on existing standards such as WMS, WFS and Tile Services. In addition to standardizing the encoding and access to map elements in web browsers, this encoding also aims to make the map contents more easily discoverable and indexable by search bots on the Web. This talk will start with an overview of the MapML draft specification, and then discuss the recent implementation of MapML in MapServer, GDAL and OGR. The goal of this initial implementation is to get MapML used in real life scenarios and to gather feedback from the community on the draft specification. Please come and join the discussion! None about this event: https://talks.2019.foss4g.org/bucharest/talk/9D7GAU/

GeoNode is a Web Spatial Content Management System based entirely on Open Source tools whose purpose is to promote the sharing of data and their management in a simple environment where even non-expert users of GIS technologies can view, edit, manage, and share spatial data, maps, prints and documents attached. GeoNode was initiated in 2010 by the World Bank and OpenGeo but from 2011 is entirely run by the developer community that the project has been able to attract. It claims some large organizations among its contributors such as the United Nations, the World Bank and the European Commission as well as many NGOs and private companies. GeoNode is based on a set of robust and widespread open source components as Django as a basic framework, GeoServer for geospatial data management and OGC services and OpenLayers/Leaflet as mapping application. It can also communicate with PostgreSQL for vector data management. GeoSolutions has been involved into a number of projects, ranging from local administrations to global institutions, involving GeoNode deployments, customizations and enhancements. A gallery of projects and use cases will showcase the versatility and effectiveness of GeoNode, both as a standalone application and as a ser None about this event: https://talks.2019.foss4g.org/bucharest/talk/7FSDBW/

What is the value of data? This presentation will be about value of data and why data is useless unless it is collected and used in a right way or with the knowledge on how it is collected and therefore what its limitations are. We will look at official data and Open Street Map and show some examples that visualize the mismatch between dataset. We will also show how data can be used, when it is updated correct and how we can go beyond just the nice Open Street Map as just a basemap. Then we will investigate what we can do about it and how Open Source tools play a huge role in this. It will open a discussion and hopefully a brainstorm on the way forward. None about this event: https://talks.2019.foss4g.org/bucharest/talk/VJHDPP/

A call center powered by an open GIS platform helps livestock herders in Northern Mali find pasture and water through the "Sustainable Technology Adaptation for Malian Pastoralists" (STAMP) programme. Herders can now access life-saving information by phoning call center agents, who in turn provide the outlook from Earth Observation and real-time field survey data to herders. This talk will show how the system was built, what we learned works (and doesn’t!), demonstrate the dashboard and show how to download and play with the datasets. None about this event: https://talks.2019.foss4g.org/bucharest/talk/YFSS9V/

Audio is unfortunately missing from the first 5 minutes. Taking advantage of the emergence of Open Data platforms dedicated to urban services, one can try to understand the functioning of cities. The biggest challenge is no more to get the data; but to structure it, analyze it, extract new information from it, and design clever representations in order to visualize it. This presentation will focus on a recent open source study made by Oslandia about bike-sharing systems in France. Our dev stack is largely based on Python tools, from back-end (a data pipeline designed with Luigi) to front-end (with Flask API and web application). The most important data processing steps will be detailed, and a particular attention will be paid to inherent machine learning problems, like bike stand classification, or bike availability prediction. To that matter, we target a better comprehension of urban areas, and value creation for bike-sharing system users. A live demo of the web application will end the presentation. None about this event: https://talks.2019.foss4g.org/bucharest/talk/CSCYYK/

Africa Bees was hatched at FOSS4G 2018 in Tanzania! The power of drones and the demand for more detailed mapping in Africa has boomed in many sectors such as development, construction, flood prevention, humanitarian response and environmental safe guarding. Based on open source Geonode servers and connecting QGIS clients a platform is now available for drone pilots in Africa to be empowered and be part of a community that can capture and contribute imagery, 3D mapping and elevation (DSM, DTM and Point Cloud) data for a wider community. Welcome to the hive! None about this event: https://talks.2019.foss4g.org/bucharest/talk/9FW8ZV/

To be INSPIRE compliant is a requirement implied by the European Union. From an administrative view, the desire for standardized data for aggregation is very comprehensible. Producing and delivering data that complies with these requirements comes with a great set of challenges but is key to bring any such system to success. In Switzerland the same requirements exist for standardization and aggregation. To reach this goal, a system with the name INTERLIS is developed for more than two decades already. During this time, a rich ecosystem has started to exist which builds bridges from a formal model all the way to the user interface with tools like ili2db and QGIS Model Baker. All of this built with open source tools that are accessible for anyone. This talk will give an overview over a state of the art toolchain that helps data providers to produce high quality data which can keep up with national and international data requirements. None about this event: https://talks.2019.foss4g.org/bucharest/talk/PK8VZB/

In order to increase interoperability and facilitate the reusing of geospatial data, it is proposed a methodology of publishing INSPIRE-compliant datasets as Linked Data, using the RDF format and various ontologies such as the ones derived from the ARE3NA for the Annex I themes, or GeoSPARQL from the OGC. This methodology would cover the whole process of generating the RDF triples from GML sources, setting up a triple-store to persist the information, and issuing SPARQL queries to the exposed endpoint. A working example would be presented using the Spanish CNIG endpoint, where several datasets from the Annex I are hosted. Then a series of queries joining external information from other endpoint, like DBPedia or GeoNames, would be used as a mean to demonstrate the interoperable capabilities and the potential applications to enrich spatial data, extract meaningful insights from it and use it to support information systems. None about this event: https://talks.2019.foss4g.org/bucharest/talk/8QJHCM/

I'll talk about the recent achievements and improvements of mago3D project, an open source based 'Digital Twin' platform. mago3D(http://mago3d.com) is relatively new project first released in July 2017. The ultimate goal of mago3D project is developing an open source based digital twin platform that can replicate and simulate the real world objects, processes, and phenomena on web environment. mago3D is on its way to achieve this goal now. mago3D has been used in various industry sectors including ship building, urban management, indoor data management, and national defense. In this talk I'll showcase several real projects that employed the mago3D and will talk about what I've learnt during this projects. None about this event: https://talks.2019.foss4g.org/bucharest/talk/UNWMSJ/

The OSGeo United Nations (UN) Committee promotes the development and use of open source software that meets UN needs and supports the aims of the UN. Following a meeting between the OSGeo Board of Directors and the UN GIS team at the FOSS4G conference in Seoul, Korea, in September 2015, the Committee has mainly worked on the UN Open GIS Initiative, a project "... to identify and develop an Open Source GIS bundle that meets the requirements of UN operations, taking full advantage of the expertise of mission partners including partner nations, technology contributing countries, international organisations, academia, NGOs, private sector". In 2018, the OSGeo UN Committee called for proposals for developing open geospatial educational materials as a part of its activities. There were three challenges: the first two (one of them sponsored by Boundless) are related to the UN Open GIS Initiative. The first challenge, related to UN Open GIS - Spiral 1, aims at the development of education material that teaches users how to apply the GeoSHAPE platform. GeoSHAPE is a free and open source geospatial collaborative platform created from various open source projects. The developed material provides a guide on how to create, edit and share critical data on an integrated dynamic map in near real time, view map updates by users from anywhere in the world and use GeoSHAPE exchange in connected and disconnected environments. The course is structured with content to suit novice, intermediate and advanced users. The second challenge supports UN Open GIS - Spiral 3, which provides geo-analytical solutions for the UN. The feasibility of the analytical functions developed as part of Spiral 3 were tested against an Ebola Epidemic use case. Requirements for developing suitable applications and methodologies based on actual UN operational cases were defined in 2017. Members of the UN Open GIS - Spiral 3 developed a geo-analytical library, called "Processing Toolbox", which is a plug-in for uDig, an open source desktop GIS. The training material developed in the frame of the OSGeo UN Challenge provides an introduction to the use of the algorithms for environmental analysis in the uDig Processing Toolbox, specifically those related to ecology and ecosystems identification. The training material for Spiral 3 is designed as a step-by-step tutorial, using algorithms in the uDig Processing Toolbox. While working through the tutorial, the user is familiarized with the tools covering all the available macro sections. After completing the tutorial, a user will be able to find the needed algorithms to solve a specific use case. The presentation deals with the description of the UN Open GIS Challenge and the open training materials developed under this initiative. The material is available under an open license and can therefore be reused by anybody. None about this event: https://talks.2019.foss4g.org/bucharest/talk/SGGAGJ/

<p>SMODERP2D is a runoff-soil erosion physically-based distributed episodic model used for calculation and prediction processes at agricultural areas and small watersheds. The core of the model is a raster based cell-by-cell mass balance calculation which includes the key hydrological processes, such as effective precipitation, surface runoff and stream network routing. Effective precipitation, the forcing of the runoff and erosion processes, is reduced by a surface retention and an infiltration. Surface runoff consists of two components: slower sheet and concentrated rapid rill flow. Stream network routing is performed line-by-line in user predefined polyline layer. SMODERP is a long-term running project driven by the Department of Landscape Water Conservation at the Czech Technical University in Prague. At the beginning SMODERP has been developed as a surface runoff simulated by profile model (1D). Later the model has been redesigned using spatially distributed method. This version is named SMODERP2D. Ongoing development (https://github.com/storm-fsv-cvut/smoderp2d) is focused on obtaining parameters of the hydrological models, incorporating new infiltration and flow routing routines, and conceptualization of a rill flow and rill development. The model belongs to a family of so called GIS-based hydrological models utilizing capabilities of GIS software for geodata processing. Importantly, the SMODERP2D project is currently entering the open source world. Originally the model could be run only in proprietary Esri ArcGIS platform. A new version of the model presented by this contribution adds support for two key open source GIS platforms, GRASS GIS and QGIS. A newly developed GRASS module and QGIS plugin significantly increases accessibility of the SMODERP2D model for research purposes and also for engineering practice. Middle scale distributed hydrological models often encounter with a high computation costs and long model runtime. Long runtime is caused by high resolution input data which is easily available nowadays. The project also includes an experimental version of the SMODERP2D model enabling the parallelization of computations. This parallelization is done using TensorFlow, and its goal is to decrease the time needed for its run. It is supported by both CPU and GPU. Parallelization of computations is an important step towards providing SMODERP2D web processing services in order to allow quick and easy integration to highly specialized platforms such as Atlas Ltd. None</p> about this event: https://talks.2019.foss4g.org/bucharest/talk/BCVBMK/

Mapillary SDKs enable any developer to easily build apps with functionality for geotagged image capture, Mapillary authentication, and uploading to Mapillary. In this session, we will explore the SDKs, demo some Mapillary apps that are built on the SDKs, and look at how these apps are being used to solve real-world challenges. None about this event: https://talks.2019.foss4g.org/bucharest/talk/3JMYHJ/

During the last decades, production of Land Cover maps (LC) at a continental and global scale has increased thanks to the progress in Earth Observation capacities, as well as due to high demand for these maps for many applications (e.g. climate change monitoring). However, the usefulness of these maps strongly depends on their accuracy. Therefore, for a fruitful LC maps exploitation, accuracy assessments (i.e. validation and inter-comparison) must antedate. Spatial analysis of the errors should then complement the accuracy assessment to provide insights into the local errors patterns which may not be outlined by traditional accuracy assessment techniques. According to this, we propose here a comprehensive analysis to target accuracy of LCs by focusing on the African continent. Two datasets, GlobeLand30 (GLC30) at and CCI Land Cover - S2 Prototype Land Cover 20m Map Of Africa (CCI Prototype Africa), at 30m and 20m resolution respectively, were considered. Inter-comparison was performed by means of traditional accuracy indexes computed from the error matrix (i.e. Overall Accuracy, Producer’s and User’s accuracy etc). Harmonization of the two maps in terms of resolution and classification nomenclature is prerequisite for inter-comparison. This was achieved by taking advantage of QGIS functionalities (e.g. resampling). Results of the accuracy assessment provide overall quality metrics for the map as well as quality indicators for each LC class. Additionally, spatial association statistics were adopted to investigate local patterns of the errors. The analysis was performed by means of GRASS and custom developed Python scripts exploiting cutting-edge data analysis libraries such as Pandas, Dask, and PySAL. By “virtual” overlaying CCI with GLC30, we computed which classes of CCI are under each pixel of GLC30, and what is the pixel fraction of a CCI class at each GLC30 pixel. Results of the overlay were stored in a vector point file whose coordinates represent centers of pixels of GLC30. If the classes of GLC30 and CCI for a point are not the same this results in an error with magnitude represented by the pixel fraction itself. Error fractions at each GLC30 pixel were analysed by means of Local Indicators of Spatial Association (LISA) to map non-random pattern in the spatial distribution of the errors as well as to assess their intensity and spatial association typology. By considering the results of accuracy assessment and LISA outputs, a comprehensive comparison of the GLC30 or CCI Prototype Africa is achieved. The results provide a guideline for detecting source of the error, which is potentially useful for future LC production (i.e. sampling design of training data). Lastly, it has been demonstrated that processing of massive datasets for accuracy assessment can be accomplished with Free and Open Source Software (FOSS). None about this event: https://talks.2019.foss4g.org/bucharest/talk/YJ8KJS/

You recently saw a picture of a big hole in space. We now propose you to visualize holes in the ground. As a science directly based on location, Geology makes intensive use of GIS softwares, not only to see boreholes. As a matter of fact, geology needs efficient tools to store, visualize and analyze large datasets of informations in 2D and 3D. We propose a set of opensource softwares based on existing GIS components (QGIS, PostGIS) to answer these problematics. This presentation will detail the different tools developed by Oslandia : - **Albion** : reconstruct 3D geological model from wells information - **CtrlCraft** : open-pit mines management and optimization - **OpenStope** : underground mine stope editor - and finally a tool to visualize stratigraphic logs and timeseries We will demo their usage and demonstrate how they allow production gains for geologists. None about this event: https://talks.2019.foss4g.org/bucharest/talk/JGHEG8/

OSM has long since established itself as the leading global street database. Interactive multi-resolution 3D-globe-streaming technology has been around for quite some time. Yet little effort has been made so far to create a global OSM-based 3D street map. In this talk we will show how OSM, vector tiles and VTS Geospatial can work together to create a global 3D street map based purely on open data and on open-source technology. The crucial steps of data provisioning, 3D map design and visual styling will be elaborated. None about this event: https://talks.2019.foss4g.org/bucharest/talk/SVGVBK/

Mapillary’s computer vision extracts point data from street-level images, with these detections being used to fix and update maps. Earlier this year, Mapillary worked with OpenStreetMap communities to turn automatic computer vision detections into better map data. This was an insightful project that showed us which detections were useful for the OpenStreetMap community and end users. It’s also an early step to create a feedback loop where humans provide input to help us improve the quality and relevance of automatically derived features. None about this event: https://talks.2019.foss4g.org/bucharest/talk/LM3CLQ/

I'll introduce the web based military geo-portal system which was implemented on top of numerous open source projects such as PostGIS, GeoServer, Cesium, mago3D, OpenGXT. This military geo-portal system provides search, layer control, satellite image retrieval, spatial/terrain analysis, reading coordinates, and map notes functionalities to the military officers through intranet. This system is basically a web based 3D GIS utilizing mago3D and can be switched to 2D. This system utilizes the OGC WPS(Web Processing Service) for the analysis on web environment. As a result of this system implementation, military officers can access the huge amount of geospatial data and analysis functions on a web environment without installing additional software. None about this event: https://talks.2019.foss4g.org/bucharest/talk/Z3VSSA/

Narok Water and Sewerage Services Company (hereinafter, called NARWASSCO) supplies water at Narok town and Ololulung'a town in Kenya. As of February 2019,we have 4,689 water connections and 74,314m3 of water consumption in Narok, also have 580 water connections and 5,736m3 of water consumption in Ololulung'a. Total length of pipeline is 144.2km in Narok and 71.7km in Ololulung'a. <br> NARWASSCO, currently uses FOSS4G to do data collection and data utilization for water supply services. For example, mapping of all water facilities in the company, and the collected data have been used to improve operations (application of new connection, leakage management, meter reading, customer care, etc.). We can say Narok water is the first water company which started to use FOSS4G in Kenya. <br> Our interesting is how water company use GIS inventory data to reduce Non-Revenue Water (NRW). NRW means physical losses(leakage) and commercial losses(meter reading error, illegal connection, etc.). We think GIS technology can contribute a lot of things for water supply services, so we would like to share our experience and get some idea from participants of FOSS4G conference. None about this event: https://talks.2019.foss4g.org/bucharest/talk/BMWTWB/

This presentation will provide the attendee with an introduction to data processing in GeoServer by means of WPS, rendering transformations and SQL views, describing real applications and how these facilities were used in them. We'll start with the basic WPS capabilities, showing how to build processing request based on existing processes and how to build new processes leveraging scripting languages, and introducing unique GeoServer integration features, showing how processing can seamlessly integrate directly in the GeoServer data sources and complement existing services. Moreover, we will show how to integrate on the fly processing in WMS requests, achieving high performance data displays without having to pre-process the data in advance, and allowing the caller to interactively choose processing parameters. While the above shows how to make GeoServer perform the work, the processing abilities of spatial databases should not be forgotten, so we will show how certain classes of processing can be achieved directly in the database. At the end the attendee will be able to easily issue WPS requests both for Vectors and Rasters to GeoServer through the WPS Demo Builder, enrich SLDs with on-the-fly rendering transformations. None about this event: https://talks.2019.foss4g.org/bucharest/talk/JKQFR8/

Geographic flow visualization (gFlowiz) is an interdisciplinary project dedicated to flows and networks in the geoweb. It is led by a team of French researchers and engineers in Geography, Cartography and Computer Science from both IFSTTAR and CNRS. gFlowiz follows the new paradigm of « visualization mapping » (MacEachren, 2004) not present in current geoweb applications. All types of flows, movements and traffic in a geographical space, at several scales, are involved (migrations, freight, transportation, etc). Required semiological, aesthetical and design elements offered by currently web-based graphic visualization libraries are also considered. Its main goal is to build a simple application combining two pillars of scientific graphical representation: flow data processing and (geo)graphical modalities visualization. A state of the art on current issues of flows and movement analysis on the geoweb has been produced through the compilation of around 70 applications in a thematic dashboard, and a 200 respondants survey on flow map usages and needs has been realized. This presentation will follow 3 axes: open source applications in the curated corpus, an analysis of the survey and a current development status of the application None about this event: https://talks.2019.foss4g.org/bucharest/talk/HBGDNS/

Ships have long been required to carry nautical charts and nautical publications to plan and display the ship's route for the intended voyage and to plot and monitor positions throughout the voyage. Today we have complex electronical navigational charts and many of them are freely distributed and are constantly updated. An electronic navigational chart or ENC (IENC for Inland waterways) is an official database created by a national hydrographic office for use with an Electronic Chart Display and Information System (ECDIS). The automatic identification system (AIS) is an automatic tracking system that uses transponders on ships and is used by vessel traffic services (VTS). Even with the advent of high accuray DGPS and AIS, RADAR will continue to be a primary aid to navigation and collision avoidance. During the presentation we will exemplify some usecases that integrate ENC, AIS and RADAR data in various software applications, both web and desktop, onboard for navigation or vessel/infrastructure for coastal monitoring systems. The presentation will cover an aids for navigation monitoring system, a vessel traffic management system and an 3D environment with real time data for validation of inland waterway signs and markings. None about this event: https://talks.2019.foss4g.org/bucharest/talk/FVU8KW/

The new Spatial Data Infrastructure of the Veneto Region (IDT-RV 2.0) has been completely redesigned to move from the older structure, based on commercial products, to state of the art FOSS4G software, providing methods to simplify data publication. Operational innovations introduced by the new infrastructure include: • Provision of tools for the interactive creation of WebGIS sites, without any code development, to be quickly shared on demand; • Complete management of the data lifecycle and related metadata, from acquisition to production, atomically monitored through a step-by-step workflow; • Creation of metadata through an interactive web editor, according to the defined normative rules, capable of supporting the user from the input of the values through template, to the final validation. Particular focus will be put on critical issues and challenges that where solved. None about this event: https://talks.2019.foss4g.org/bucharest/talk/MCKFWD/

Can you calculate the CO2 emissions for your city now or for the future? Ubigu Ltd, Tietotakomo, Gispo Ltd, Finnish Environment Institute and City of Tampere in Finland have crafted an open source climate tool during spring 2019. It was created using QGIS, PostGIS, GeoServer and Oskari map service for detecting what areas have more CO2 emissions than others taking into account also carbon sinks. The climate tool is used to do better land use planning to achieve CO2 neutral city. The base of the calculation comes from 250*250 m urban zone grid by Finnish Environment Institute where we have information about workplaces, demography and buildings. The tool utilizes also different climate parameters and combines the information to the grids. The user interface was created with QGIS and where analysis was driven with algorithms stored to PostGIS database. The tool also provides CO2 visualisation of the analysis results via GeoServer and in the end Oskari map service. In this presentation we will go through the background and demonstrate the use of the tool. None about this event: https://talks.2019.foss4g.org/bucharest/talk/B9F3TW/

Stefano Gobbi(1,2,3), Maria Giulia Cantiani(1), Duccio Rocchini(1,2), Paolo Zatelli(1), Clara Tattoni(1), Marco Ciolli(1), Nicola La Porta(2,3). 1 Università degli Studi di Trento, Dipartimento di Ingegneria Civile, Ambientale e Meccanica, Trento, Italy 2 Fondazione Edmund Mach, San Michele all’Adige (TN), Italy 3Mountfor Research center, San Michele all’Adige (TN), Italy Trentino is an Italian alpine region (about 6200 Km2) with a forest coverage exceeding 60% of its whole surface. In the past, forest landscape has changed dramatically, especially in periods of forest over-exploitation. Previous studies in some Trentino sub-regions (Val di Fassa, Paneveggio) have identified these changes and the current trend of forest growth at the expenses of open areas, such as pastures and grasslands, due to the abandonment of rural areas. This phenomenon leads to the rapid Alpine landscape change and profoundly affects the ecological features of mountain ecosystems. To be able to monitor and to take future actions about this trend it is fundamental to know in detail the historical situation of the progressive changes on the land use that occurred over Trentino. The work aims to comprehensively reconstruct the forest cover of whole Trentino at high resolution (5m x 5m pixels) using a series of maps spanning a long period, consisting in historical maps, aerial images, remote sensed information and historical archives. The datasets were archived, processed and analyzed using the Free and Open Source Software (FOSS) GIS GRASS and QGIS. Historical maps include “Atlas Tyrolensis” (dated 1770), “Theresianischer Kataster” (dated 1859) and Italian Kingdom Forest Map (IKFM) of 1936. The aerial imagery dataset includes aerial images taken in 1954, which have been orthorectified during this research, and orthophotos available for years 1973, 1994, 2000, 2006, 2010 and 2016. Remote sensed information includes Landsat and recent Lidar data, while historical archives consist mostly in Forest Management Plans available since around 1950. The versatility of the wide variety of modules supplied from the FOSS GRASS and QGIS enabled to perform a diverse set of analysis and pre-processing (e.g.:orthorectification) on a heterogeneous dataset of input images. We will focus on the different strategies and methodologies implemented in the FOSS GIS used to process the various types of geographic data, challenges for the future of the research and the fundamental role of the FOSS systems in this process. Quantifying forest change in the time-span of our dataset can be used to perform further analysis on ecosystem services, such as protection from soil erosion, and on modification of biome diversity and to create future change scenarios. None about this event: https://talks.2019.foss4g.org/bucharest/talk/DE7V79/

Developing meaningful and interactive materials for the GIS classroom is a major challenge for educators. In this talk, I present a framework for developing GIS educational resources - including interactive in-class activities and out-of-class exercises - through an open and collaborative approach. None about this event: https://talks.2019.foss4g.org/bucharest/talk/HYT3HJ/

GeoStyler is a react-based Open Source UI library for creating style editors for WebGIS applications. Cartographic styling of geodata on the web has been a recurring topic in the geoinformatics world. There are various standards - official standards as well as industry standards and project-related styling rules. However, we think that an interactive web-based software is the best solution to enable users to easily style their geodata. There are isolated solutions for some of the above mentioned standards, but no comprehensive web interface for converting styling rules into various formatshas been lacking so far. This universal web interface has been in development since mid-2018. Under the project name "GeoStyler", a web-based Open Source tool for the interactive creation of cartographic style regulations for geodata is being developed. Currently the following formats can be used: Style regulations are OGC SLD, OpenLayers Styles, QML * and Mapbox Style * (* in development). Supported geodata formats are GeoJSON, OGC WFS and Shapefiles. We want to present the current project status and show the general functionality of GeoStyler. We hope to attract the project to users and developers and to contribute to the Community. None about this event: https://talks.2019.foss4g.org/bucharest/talk/PEVW9K/

The INSPIRE Reference Validator is the tool adopted by EU Member States to validate the resources of their Spatial Data Infrastructures. It is an implementation of the ETF, an open source testing framework based on ISO and OGC standards, which performs tests organized into Executable Test Suites (ETS) using SoapUI, BaseX and TEAM Engine. The ETF can be used via either a web application or a REST API; a Docker container is also available for quick deployment. The INSPIRE Reference Validator, recently deployed on the cloud, offers many open source ETS to test data sets, metadata, View Services (WMS, WMTS), Download Services (Atom, WFS, WCS, SOS) and Discovery Services (CSW) against the interoperability requirements set by the INSPIRE Technical Guidance documents. Starting from the context of INSPIRE Action 2017.4 on Validation and conformity testing, the talk will present the latest developments of the ETS and ETF (including the governance of the software project) and describe the future plans. None about this event: https://talks.2019.foss4g.org/bucharest/talk/HJKKG8/

Land cover (LC) (and land use (LU)) maps are an essential components for regional decision-making.They inform policy-makers about the structure of their territory and frame policies including spatial and urban planning, environmental management, transport optimization, risk assessment, etc. The LC data currently available in the Walloon region in Belgium date back over a decade and an update was thus needed. The regional administration decided to launch a research project to develop a robust, automatized, scalable and reproducible method for creating these data, principally based on the available VISNIR orthoimagery at 0.25 m resolution, as well as height information derived through photogrammetry.The ultimate aim of the project is not only to provide recent (2018) maps, but also to elaborate a method that would make it easier for the region to reproduce such data at higher temporal frequency than in the past. The size of the data set (several TB) also provoked a specific focus on scalability while ease of application for a regional administration was another priority.Whereas in urban areas an object-based (OBIA) approach has been the privileged path in the last years as it allows taking into account shape information relevant for the characterization of man-made constructions, such an approach has its limits in the rural and more natural areas the structure of which does not fit as well into the OBIA paradigm, thus calling for a pixel-based approach. In addition, many of the more natural land cover classes have temporal profiles which cannot be detected in a one-date orthoimage. We therefore decided to also analyze Sentinel 1 and 2 data in order to profit from their higher spectral and temporal resolution.All methods were trained using existing regional databases. In a second step, we combined the different LC classification results by fusioning them into one high-accuracy (over 90% OA) product, using a series of different approaches ranging from rule-based to machine learning, passing by more statistical techniques such as Bayesian fusion. The research teams involved have a long tradition of working with FOSS in image analysis and the choice for a purely FOSS approach was quite obvious and clearly encouraged by the regional administration. Complementary experiences working, for one, with Orfeo Toolbox, and for the other with GRASS GIS, allowed the combination of these different software in the overall framework. This paper will present the details of the respective LC classification chains, including some improvements to the software that happened during the process. Individual LC results as well as results of the different approaches tested for fusioning the different LC products will allow to highlight the advances made, but also some difficulties encountered during the work. In a final section we will present future steps of the work, such as the passage from LC to LU based on alphanumeric databases and the use of LC landscape metrics. None about this event: https://talks.2019.foss4g.org/bucharest/talk/YWHLLK/

This is the welcome speech of Mr. Dumitru Prunariu. None about this event: https://talks.2019.foss4g.org/bucharest/talk/PCWRFQ/

Audio is broken for the first minutes, sorry. In this talk, we explain how open source platforms will enable data users to truly utilize geospatial data in Europe. Open platforms based on standards, as INSPIRE, will enable new business models, applications and markets. However, there are still challenges in building them effectively. A key component of effective INSPIRE implementation is hale studio, wetransform's open source tool for geodata harmonization. With its declarative and interactive workflow, it provides users with the ability to easily transform complex data. It has been designed from the ground-up to support specifications such as OGC GML, ALKIS, INSPIRE, and others. It has been applied to thousands of harmonisation projects. In the talk, we will highlight recent INSPIRE data harmonisation projects, such as: 1) Reference transformation project creation for 3A to INSPIRE Data 2) INSPIRE compliant data generation (Human Health and Safety, Hydrography, Transport Networks and Elevation) from WFS It will specify the general and case-specific challenges faced and how they were overcome. We will then delve into the future of hale studio, and which features will be included later based on our observations from the harmonization projects we have undertaken. None about this event: https://talks.2019.foss4g.org/bucharest/talk/PJYRMC/

The presentation is more a "behind the scenes" talk, covering topic such as: * the people behind QGIS * the infrastructure behind QGIS * quality assurance efforts * organization and charter * challenges and changes in our organization * financial situation * challenges from being a large OSGEO project None about this event: https://talks.2019.foss4g.org/bucharest/talk/FXAJPH/

In this paper, we address the course of dimensionality and scalability issues while managing vast volumes of multidimensional raster data in the renewable energy modeling process in an appropriate spatial and temporal context. Tensor representation provides a convenient way to capture inter-dependencies along multiple dimensions. In this direction, we propose a sophisticated approach of handling large-scale multi-layered spatio-temporal data, adopted for raster-based geographic information systems (GIS). Moreover, it can serve as an extension of map algebra to multiple dimensions for spatio-temporal data processing. We use the multidimensional tensor framework to model such problems and apply computational graphs for efficient execution of calculation processes. In this approach, spatio-temporal data can be represented as non-overlapping, regular tiles of 2-D raster data, stacked according to the time of data captured. As a case study, we quantify the spatio-temporal dynamics of solar irradiation calculations and 2.5-D shadow calculations for cities at very high space-time resolution using the proposed framework. For that, we chose Tensorflow, an open source software library developed by Google using data flow graphs and the tensor data structure. We provide a comprehensive performance evaluation of the proposed model against r.sun based on GRASS GIS. Benchmarking shows that the tensor-based approach outperforms r.sun by up to 60%, concerning overall execution time for high-resolution datasets and fine-grained time intervals for daily sums of solar irradiation [Wh.m-2.day-1]. Precisely, the main characteristics of the proposed framework include defining, optimizing and efficiently calculating mathematical expressions involving multi-dimensional arrays (tensors); Transparent use of GPU computing such that the same code can be run either on CPUs or GPUs; Implicit parallelism and distributed execution with high scalability offered by data-flow based implementation. Moreover, the Python implementation of the proposed model makes it GRASS GIS ‘Add-on’ compatible. None about this event: https://talks.2019.foss4g.org/bucharest/talk/PUNTKE/

Mapchete (https://github.com/ungarj/mapchete) is a tool written in Python which helps processing large amounts of geodata such as global high resolution datasets. It does so by executing a user-defined Python function on smaller chunks of data (tiles). The standard tiling schemes follow the well-known tile pyramid schemes used by WMTS which also enable mapchete to let the user easily preview process outputs using a built-in development server (Flask) hosting an OpenLayers page. By processing large areas through their much smaller tiles or metatiles, possible memory errors can be avoided. Furthermore, tiles can be processed on multiple CPU cores in parallel which speeds up the processing time. All geospatial data (i.e. raster and feature data) are internally handled and exposed to the user-defined process function either as NumPy arrays (raster) or GeoJSON-like dictionaries (features) which can easily be edited with well-known Python packages like shapely or scipy. For I/O operations mapchete makes heavy use of rasterio (https://github.com/mapbox/rasterio) and Fiona (https://github.com/Toblerity/Fiona). It can read data formats supported by these packages and can currently write outputs into WMTS-like tile directories of GeoTIF None about this event: https://talks.2019.foss4g.org/bucharest/talk/8TLYVA/

Natural Language Processing, in short, NLP is one of the most high-lightened technologies these days. What I would like to bring on FOSS4G 2019 is an experimental approach which integrates NLP with mapping system. Just for convenience, I call this approach “document-mapping”. In this approach, documents are plotted according to their similarities: in other words, similar documents are plotted within close proximity, and vice versa. This approach can be done by several NLP based algorithms. As a result of the processing, XY coordinates are attached with each document. This approach will show us lots of possibilities, converting qualitative data-sets into quantitative ones. For example, we can evaluate the impact on a specific article or an opinion not only by numeric data but also visualized map with the similarity-distance. I attached an example using twitter data-sets. Another possibility I would like to introduce is its application for regional masterplans. I am currently trying to analyze a transition of cities and achievements of the city plans by using this idea. This attempt is still on a progress, and hopefully I would like to present this result in August. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ZYLV8A/

Not all open data comes in traditional geospatial formats: for years, organizations around the world have collected photo and video logs of roads for annual surveys, but until recently these have been overlooked as a form of open data. Mapillary now hosts over 500,000km of government road imagery. We will explore how this is being used both to improve government workflows and how traffic signs, crosswalks, and other data can be added to OpenSteetMap by citizens using imagery previously seen only by a handful of government employees. None about this event: https://talks.2019.foss4g.org/bucharest/talk/LKFNAS/

With the LiDAR developments, point cloud is becoming a valuable resource to build 3D models of Digital Twins, the virtual representation of a real world physical feature (object or system). Even though 3D point cloud can be more suitable to depict the real world, it requires HPC. 3D model representations help applications to quickly handle and navigate data comparing to point cloud. However, the 3D model construction of every physical feature usually necessitates expensive time and labor resources to organize and extract the features outlines by interactive manual operations. Recently, deep learning is used to derive semantic classes necessary for 3D modeling by automated classification and segmentation. PinSout (Point-in Space-out) is a new framework to automatically generate CityGML LOD4 from raw 3D point cloud data by using PointNet. This framework extracts each object required for 3D indoor space modeling from point cloud after learning the deep model with the annotated dataset of Standford Building Parser. After the semantic segmentation, it computes the contour of an object using PCL to augment each spatial indoor model. Finally, the extracted objects are stored into 3D CityDB and provided as CityGML LOD4 data. None about this event: https://talks.2019.foss4g.org/bucharest/talk/VT9Q73/

Browser capabilities have exploded in the past years and with it the possibilities to run large applications without the need of additional software. Still when combining interaction and visualization of larger datasets the number of nodes such as with SVG becomes quite difficult to handle (limited resources). That is why we have been experimenting with solutions to make use of WebGL, mixing rendering and maintaining interaction. In order to be able to render scientific data (as read by geotiff.js) we have developed plotty (https://github.com/santilland/plotty). This tool allows us to quickly colorize and render the data using a shader, making it possible to create interactive and explorable animations. For further data analysis, such as evolution curves through time or larger and complexer plots we have been working on graphly (https://github.com/EOX-A/graphly). In this case for us it was imperative to maintain complex interactivity while using rendered images. This was achieved by combining a second canvas which keeps unique identifier colors for the objects. We would like to present our concepts and experiences of the developed tools. None about this event: https://talks.2019.foss4g.org/bucharest/talk/CDRBHF/

As the United Nations (UN) is a complex organization carrying out divers tasks in the world, most functions for an enterprise GIS are required. In order to support the requirements from the UN, the UN Open GIS Initiative was founded in 2016 with goals to provide GIS solutions for the UN based on open source software. The working group 3 of the initiative, named Spiral 3, aims to develop and deliver geo-analytic functions to the UN. In particular, a number of geo-analytic functions are developed by Spiral 3 to support field operations such as UN peace keeping operation. In this paper, we present a development use-case of geo-analytic functions for the UN, which is composed of four steps; analysis of requirements and functional specification, definition of development environment and system architecture, system development and test, and documentation of user manual and education materials. First, a comprehensive study on UN operations has been carried out, which covers the following tasks; situational awareness, security operations, military operations, protection of civilians, human rights violation investigation, epidemiological analysis, mission’s support and logistics operations, electoral support, disarmament, demobilizations and reintegration program, and humanitarian response operations. From this study, we derived 26 primitive geo-analytic functions. The users of geo-analytic functions for these tasks include mostly officers at field offices and geo-analysis experts at mission headquarters. Second, the system development environment was determined as Java using GeoTools for the compatibility and portability. The geo-analytic functions were developed as a plug-in of uDig, which is a Java-based open source desktop GIS. It means that the preparation and pre-processing of data for geo-analysis and the visualization of the analysis are supported by uDig. Third, an experiment of the developed system was performed with a scenario of Ebola virus spread. It shows that the system properly supports the field operations of Ebola virus spread. The experiment also shows the strength and weakness of the developed geo-analysis functions in comparison with commercial GIS. As the fourth step of the development, a user-manual is published via web and an education material was also developed under the OSGeo-UN Committee Educational Challenge Program. Through the use-case study presented in the paper, we would like to share the experiences and lessons about the development of geo-analytic functions, which would be used as a reference for other geo-analytic function development. None about this event: https://talks.2019.foss4g.org/bucharest/talk/PRXB9V/

A number of climate change research projects discover dependencies between dynamics of vegetation indexes and dynamics of meteorological parameters, which make possible estimation and monitoring of growing season parameters using remote sensing data. In our study, we use Normalized Difference Water Index (NDWI) that can be derived automatically from the daily satellite imagery collected by MODIS sensor. The NDWI indicates amount of liquid water in plant tissue, and then reflects change of vegetation growing conditions and particularly growing season change. To ensure monitoring of growing season parameters we elaborated an automated software complex that incorporates desktop Geographic Information System (GIS) software (QGIS was used), geospatial database and complex of computational tools. The GIS is used as an infrastructure element for operating and visualization purposes, while the database together with computational tools enable storage and multipurpose processing of meteorological and remote sensing data. The meteorological data is collected for the past period of 130 years and NDWI data for the 20 years. Developed complex is tested on the example of Republic of Komi (Northern part of European Russia) that is covered by Taiga and Tundra natural zones and impacted by different climate forming factors. Currently we describe architecture of the elaborated complex and design of data processing chains. Elaborated complex ensure automation of downloading raw remote sensing data and reprocessing it into gridded NDWI maps. In this context, it can be underlined that daily collected MODIS imagery can be discovered as big geospatial data, due to this we were needed to resolve a number of optimization tasks to implement its processing. Subsequently, NDWI data is used to produce gridded map series that reflects time and spatial dynamics of growing season characteristics. Produced data have a special significance for areas with sparse meteorological network. Keywords: GIS, Remote Sensing Data, Climate Change, Growing Season, Vegetation Indexes, MODIS, NDWI. None about this event: https://talks.2019.foss4g.org/bucharest/talk/77BJYC/

A recent fun blog post turned into an idea for synthesizing imagery training data for ML applications. In the post we presented a method for identifying sasquatch using cloud native geospatial methods and tools. This talk will describe the cloud native approach we took and the opensource tools that were used. We will then describe and demonstrate an idea to create synthetic satellite imagery training data using opensource libraries and tools. None about this event: https://talks.2019.foss4g.org/bucharest/talk/SZDFF3/

Planet with the help of GAF AG has established an adapter system that bridges the gap between Planets Advanced EO Imaging Platform and the Copernicus Space Component Data Access (CSCDA) Data Warehouse (DWH) project. For contributing to the ESA-CSDA, required interfaces to the ESA Coordinated Data Access System (CDS) and the Copernicus Service Projects (CSPs) have to be provided. We decided to implement those interfaces based on Planets Advanced EO Imaging Platform and Free and Open Source Software. In this talk we will describe the implementation phases of the project. In phase 1 we provided the workflows that are necessary for Emergency Rush Satellite Tasking, Crisis Monitoring and for Emergency Retrieval from Archive. In phase 2 we provided the HMA (Heterogeneous Mission Accessibility) interfaces for the Catalogue Service for the Web and the OSEO (Ordering Services for Earth Observation Products). Finally we will discuss the lessons learned as well as future opportunities for the development of the Planet Copernicus Contributing Mission (CCM). None about this event: https://talks.2019.foss4g.org/bucharest/talk/FU9GFZ/

# MapServer, Optimize for performance The MapServer software offers many powerful and advanced features that many users haven’t found yet. Come and learn some of the tricks to optimize configurations to achieve excellent performance in the rendering of stunning cartographic maps. Complex road shield labeling is one of the use cases that will be shared. Many of the tricks are based on advanced preprocessing of the data sources using the GDAL/OGR tools. Another subject will be around different ways to use tile indexes and how that can influence flexibility and performance. Some advanced line symbology examples will be highlighted, that are used in a larger open source development with Mapserver. Finally, we will show how to measure and even set up automatic tests to verify the results. The presenter is a frequent Mapserver user. None about this event: https://talks.2019.foss4g.org/bucharest/talk/QWB9AD/

Reusable satellite and street maps data will be presented in this talk. Powered by open data and build with open source! Learn about the MapTiler data infrastructure and the high-resolution imagery available for Europe and the US, ready for your next project. Open geospatial data is the new raw material every GIS expert can build upon. Free vectors and rasters are everywhere, but come in many flavors which often make them challenging to leverage. This talk aims at presenting an innovative approach for harmonizing open geospatial data using the MapTiler software tools, powered by open-source. Several open data use cases and processing pipelines will be presented at the global scale, from mapping the OpenStreetMap planet to color toning high volumes of open imagery. Local use cases will also be shown, including on open data released by mapping agencies, such as the Ordnance Survey or the French IGN. Emphasis will be put on creating and sharing ready to use datasets that one can easily self-host and redistribute. Description of new geodata services and cloud infrastructure will finally demonstrate how open source technology significantly adds value to open data for the benefit of all, from the community to the business perspective None about this event: https://talks.2019.foss4g.org/bucharest/talk/NSMXGV/

**G3W-SUITE** is a modular, client-server application for managing and publishing interactive **QGIS** cartographic projects of various kinds in a totally independent, simple and fast way. The application can organize cartographic contents in a hierarchic way, helping the content management in structured contexts, such as public institutions, parks, companies etc. Accessing administration, consultation of projects, editing functions and use of different modules are based on a hierarchic system of user profiling, open to editing and modulation. Its main components are the one for basis administration, **G3W-ADMIN**, and the visualization client for cartographic contents **G3W-CLIENT*. They communicate through a series of API REST which makes them totally interchangeable. **G3W-ADMIN** was developed through Python, using Django, a trustworthy, solid framework. **G3W- CLIENT** was developed using a modular approach and is based on a “reactive programming” paradigm, using Vue.Js like Javascript framework and OpenLayer3 for rendering of geographic data. G3W-SUITE and, in particular G3W-ADMIN and G3W-CLIENT modules, are released on **GitHub** with **Mozilla Public Licence 2.0** (https://github.com/g3w-suite) None about this event: https://talks.2019.foss4g.org/bucharest/talk/WTZMJN/

Mapbox GL JS is a powerful JavaScript library that uses WebGL to render interactive maps from vector tiles and other sources. Mapbox has recently added custom layers to its set of allowed layer types. The custom layer allows developers to render custom data while directly using the the WebGL render engine. We have implemented mapbox-gl custom layers for rendering 3D tiles and point cloud data. This enables the already feature rich Mapbox rendering engine to be combined with web-visualization of true geographic 3D data directly from OGC formats. An advantage of this is that you can use the mapbox navigation and base-layer rendering while at the same time complex 3D objects directly to your web browser. in a way similar to vectortiles in 2D space. In this talk we will demonstrate an implementation of a 3D Tiles viewer as a Mapbox GL JS custom layer. WebGL rendering is implemented using three.js. This addition enables you to add a 3D-tiles layer with true 3D objects on top of your existing mapbox implementation just as easy as you would be adding a vector-tile service. We will discuss some technical issues we have encountered, give examples on how you can use it and show an extensive demonstration of what you can do with it. None about this event: https://talks.2019.foss4g.org/bucharest/talk/NUXEVS/

WebAssembly is a binary runtime format designed for efficiency, speed and safety. Version 1.0, standardized in a W3C Working Group, is now supported by all major browsers. It opens up a whole new way to create performant web applications and gives new possibilities to share (geospatial!) libraries between desktop and web applications. None about this event: https://talks.2019.foss4g.org/bucharest/talk/PTUAEG/