Chaos Computer Club - archive feed

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. None about this event: https://talks.2019.foss4g.org/bucharest/talk/JKFCAF/

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. None about this event: https://talks.2019.foss4g.org/bucharest/talk/SUFNPF/

Lukas berichtet, wie aus der Idee, eine vernetze Lampe für das Camp zu bauen, nach einigen Planänderungen nun eine Chamäleon-Lampe geworden ist. Die Chamäleon-Lampe kann über einen Farbsensor Farben aus der Umgebung scannen und seine Lichtfarbe daran anpassen. Der Quellcode der Lampe findet sich unter https://git.chaotikum.org/chamaeleonidae Ein Vortrag im Rahmen der Fünf-Minuten-Termine. Die Idee ist einfach: An jedem vierten Mittwoch des Monats nutzen wir das volle Haus zum Open Space / Chaostreff und jede Person, die möchte, kann kurz vorstellen, was auch immer ihr vorschwebt. about this event: https://chaotikum.org/blog/2019/07/22/5-min-termine8/

Malte und Fabi haben für das CCCamp eine Lichtinstallation gebaut, die auf dem Camp auch mehr oder weniger gut funktioniert hat. In diesen fünf Minuten berichtet Malte aber nicht über die von künstlichem Feuerschein beleuchteten Rieseneiswürfel, sondern wie er aus den Ersatzteilen und Resten dieses Projekts und einer kaputten Ikea-Lampe spontan auf dem Camp ein interaktives buntes Licht mit integrierter Tastatur gebaut hat. Der Quellcode des Projektes findet sich hier: https://git.chaotikum.org/malte/taster-lampe Ein Vortrag im Rahmen der Fünf-Minuten-Termine. Die Idee ist einfach: An jedem vierten Mittwoch des Monats nutzen wir das volle Haus zum Open Space / Chaostreff und jede Person, die möchte, kann kurz vorstellen, was auch immer ihr vorschwebt. about this event: https://chaotikum.org/blog/2019/07/22/5-min-termine8/

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/

The GC2/Vidi platform helps you build a spatial data infrastructure quickly and easily. Powered using open source components for a scalable solution focused on freedom rather than fees. GC2/Vidi comprises two software projects: - GC2 – makes it easy to deploy PostGIS, MapServer, QGIS Server, MapCache, Elasticsearch, GDAL/OGR. And offers an easy-to-use browser application to configure the software stack. - Vidi – a modern take on browser GIS. It is the front-end client for GC2. The GC2/Vidi project is released under GPL and accepted as an OSGeo Community Project last year. The first part of the talk gives a brief overview of the platform and summarizes the capabilities it has to offer. In the second part the browser GIS named Vidi will be reviewed with emphasis on the new offline capabilities. This comprises the possibilities to use the web app and access/edit data without network, which makes Vidi well suited for field work in areas without good 3G/4G coverage. The talk will include a short demonstration and give a walkthrough of the modern browser technologies used including Service Workers, IndexedDB and StorageManager. Furthermore, the ongoing developments and future innovations will be reviewed. None about this event: https://talks.2019.foss4g.org/bucharest/talk/9TDGAW/

In GIS software development there is often a need to seamlessly integrate a simple or more complex GIS solutions into new or existing non-GIS applications. Depending on the non-GIS system, number of different integration technologies are used. From communication standpoint there is a client-side integration based on WebSocket technology, JS API or using more recent technologies like custom elements (e.g. Angular Elements). From complexity and functionality standpoint there is an option to use custom developed lightweight GIS or full featured GIS viewer/editor based on our own IGEO platform. This talk will share our experience and challenges we've ran into during the years of GIS development and integrations with other in-house or external systems. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ATYAYW/

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/

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/

The climate change and the recent extreme events occurred all over the world draw again the attention to the natural hazards both for prevention and for management aspects. In this context, environmental modelling can help in mapping hazards and risks zones and to support decision makers in building functional infrastructures with low environment impact and for a safe urban planning. In the last decades many researchers tried to extract useful information from digital data and in particular from Digital Terrain Models (DTM) with the development of ad-hoc algorithms and tools. In the meanwhile the data availability increased and high precision DTM are available almost all over the world. The algorithms contained in the HortonMachine library are the result of more than 10 years of research, development and real application of people from different research institutes and professionals working in the field of environmental engineering. The HortonMachine library contains tools for data management, data collection in the field, and environmental modelling in particular related to hillslope stability, floods, debris flow, forestry management and woody floods. None about this event: https://talks.2019.foss4g.org/bucharest/talk/DTWPFR/

# 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/

FOSS4G in education and research is key to providing students and researcher with tools for analysing spatial data avoiding vendor lock-ins and fostering a healthy freedom to test different solutions. OS tools stimulate proactiveness in students by providing a wide range of possibilities, from usage to development. This talk will show how open source tools for processing imagery and point cloud data give added value to didactics, with examples from projects at University of Padova and from Innsbruck Summer School of Alpine Research - Close Range Sensing Techniques in Alpine Terrain. None about this event: https://talks.2019.foss4g.org/bucharest/talk/F8ASXM/

SAGA (System for Automated Geoscientific Analyses) is an open source geographic information system (GIS) used for editing and analysing spatial data. It includes a large number of modules for the analysis of vector (point, line and polygon), table, grid and image data. Among others the package includes modules for geostatistics, image classification, projections, simulation of dynamic processes (hydrology, landscape development) and terrain analysis. The functionality can be accessed through a GUI, the command line or by using the C++ API. SAGA has been in development since 2001, and the centre of SAGA development is located in the Institute of Geography at the University of Hamburg, with contributions from the growing world wide community. This talk will focus on the new features that have been added since the previous LTR version (2.3.2) which is the version used in QGis processing. None about this event: https://talks.2019.foss4g.org/bucharest/talk/7RPMVM/

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/

MapServer 7.4 was released earlier this year. The main focus of this release is MapScript - MapServer’s scripting language, and we'll review the various language options available along with other changes and lesser known features from recent releases. A summary of development from the recent OSGeo codesprint in Minnesota, and the road map towards MapServer 8 will be presented. A description of MapServer [1] and a brief history of its development will be outlined, along with a summary of the project health including numbers of active contributors and mailing list users, and project steering committee changes. An overview of projects related to MapServer will be given including MapCache [2], MapServer for Windows [3], GC2 [4], mappyfile [5], and the Zoo project [6]. We'll look at how to get involved with MapServer and help with the continued success of the project at all technical levels. Finally members of the MapServer PSC (Project Steering Committee) will be present at the talk to answer questions. [1] https://mapserver.org/ [2] https://mapserver.org/mapcache/ [3] https://ms4w.com/ [4] https://www.osgeo.org/projects/gc2-vidi/ [5] https://github.com/geographika/mappyfile [6] https://www.osgeo.org/projects/zoo-project/ None about this event: https://talks.2019.foss4g.org/bucharest/talk/WKX8NS/

2018 saw the release of [Julia](https://julialang.org/) 1.0, a high-level, high-productivity programming language, with the performance of a low-level language like C. That means looping over all features or cells and applying your own functions is encouraged. The [JuliaGeo](http://juliageo.org/) organization was first started in 2015 to provide support for working with geospatial data in the Julia programming language. JuliaGeo currently provides high-level APIs with comprehensive support for OSGeo libraries like GDAL, GEOS and PROJ. In this talk, we introduce Julia and the JuliaGeo packages, showcase interactive workflows, and talk about next steps. None about this event: https://talks.2019.foss4g.org/bucharest/talk/DH8CQR/

MapMint is a comprehensive task manager for publishing web mapping applications. It is a robust open source geospatial platform allowing the user to organize, edit, process and publish spatial data to the Internet. MapMint includes a complete administration tool for MapServer and simple user interfaces to create mapfiles visually. MapMint is based on the extensive use of OGC standards and automates WMS, WFS, WMT-S, and WPS. Most of the MapMint core functions are run through WPS requests which are calling general or geospatial web services: vector and raster operations, mapfiles creation, spatial analysis and queries and much more. MapMint server-side is built on top of ZOO-Project, MapServer and GDAL and its numerous WPS services are written in C, Python and JavaScript. MapMint client-side is based on OpenLayers and Jquery and provides user-friendly tools to create, publish and view maps. MapMint architecture and main features will be introduced in this presentation, and its modules (dashboard, distiller, manager, and publisher) will be described with an emphasis on the OGC standards and OSGeo software they are using. Some short but relevant case studies and examples will finally illustrate some of the key MapMint functionalities. None about this event: https://talks.2019.foss4g.org/bucharest/talk/E8UVGW/

GeoMapFish is an open source WebGIS platform developed in close collaboration with a large user group. It targets a variety of uses in public administrations and private groups, including data publication, geomarketing and facility management. OpenLayers and an OGC architecture allow to use different cartographic engines (MapServer, QGIS Server). Latest version supports Docker and can be installed on an OpenShift environment. Highly integrated platform, large features scope, fine grained security, reporting engine, top performances and excellent quality of service are characteristics of the solution. In this talk we’ll present the key usages, technical aspects of the platform and latest developments. None about this event: https://talks.2019.foss4g.org/bucharest/talk/SGPPSC/

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/

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/

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/

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/

This abstract focuses on the Resilience Academy which represents the commitment of the World Bank to improve Tanzania’s skill base and to maximize the impact and sustainability through the establishment of university partnerships that transfer skills and risk management tools to the next generation. The Resilience Academy concept embraces the idea that supports the development and sustainability of geospatial and urban resilience competencies in Tanzanian universities and thus enhances the sustainability of digital data set management and eventually risk management practices in Tanzania. None about this event: https://talks.2019.foss4g.org/bucharest/talk/XAFQB9/

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/

The map is based on the concept of geographical management that highlights the importance of the location of events or objects, which allows, for example, to understand how they are spatially related, to analyze proximity and their distribution within an area. In addition to the public map, there is an internal version that contains additional confidential information that provides all government areas with access to tools and integrated geo-referential information that promotes decisions based on data that allow, for example, to plan future actions and services, such as interventions . in the public space, inspections and verification of roadmaps and information collection. None about this event: https://talks.2019.foss4g.org/bucharest/talk/UNTZGU/

The Group on Earth Observations (GEO) has been advocating for and delivering access to open Earth observations (EO) data and information for more than a decade. The GEO Work Programme is a key implementation mechanism to help deliver the GEO vision and mission to deliver benefits to society via the collaborative work of national governments, the research and academic communities, the private sector, international organisations, non-governmental organisations and civil society. The purpose of this keynote is to highlight the range of activities underway on open EO data globally and highlight possibilities for open source software contributions, notably in the context of GEO. None about this event: https://talks.2019.foss4g.org/bucharest/talk/VG7ZLV/

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/

MapStore is the Open Source product for creating, saving and sharing in a simple and intuitive way maps and mashups created selecting contents from public services like Google Maps and OpenStreetMap or other servers implementing OGC and ISO protocols. Thanks to MapStore the user can mix her own data with data available on the web to create comprehensive maps and share them with anyone (also via social networks). MapStore2 is cross-browser, and mobile ready. MapStore allows the user to: * Manage maps (share, delete, search, create) and users through a front-end Manager. * Create and navigate maps using a powerful and intuitive front end as map Viewer. * Manage the embed-link, marker's injection, routes injection, time series Google Earth like, spatial queries and more. * Interact with one or more Catalog Service for the Web (CSW). You can also use MapStore as a framework to develop your custom WebGis application composing MapStore ReactJS components and components from other libraries (like React Bootstrap), choosing the best mapping library for your purposes. The presentation will give the audience an extensive overview of the MapStore functionalities for the creation of mapping portals. None about this event: https://talks.2019.foss4g.org/bucharest/talk/RZFC33/

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/

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/

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/

Very brief introduction to the huge geospatial universe. On this talk, we will cover most of OSGeo software and sibling initiatives to prove that Free and Open Source Solutions is not only a complete stack but the canonical solution when we want to have the best option possible. None about this event: https://talks.2019.foss4g.org/bucharest/talk/YTSZRG/

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/

Natural Language Processing, has been revivified by Deep Learning approaches. This presentation will show what we already can achieve to convert plain Text to Map. Think for instance, to retrieving geometries conveys by an article, a book or a Tweet. None about this event: https://talks.2019.foss4g.org/bucharest/talk/PTX3JW/

The UN Open GIS Initiative is catalyzing the development of an open community for basemap vector tile providers. The Initiative promotes the UN Vector Tile Toolkit, a package of open source tools designed to enable public basemap providers, such as the United Nations geospatial information services or governmental mapping organizations, among others, to deliver their basemap vector tiles leveraging the latest web map technologies. The toolkit provides a set of Node.js open source scripts designed for developers to use in conjunction with existing and proven open-source vector tile software (such as [Tippecanoe](https://github.com/mapbox/tippecanoe), [Maputnik](https://github.com/maputnik/editor), [Mapbox GL JS](https://github.com/mapbox/mapbox-gl-js) and [vt-optimizer](https://github.com/ibesora/vt-optimizer)). The toolkit will help organizations to produce, host, style, and optimize fast and interoperable basemap vector tiles, making them available with various application frameworks. This paper presents the methodology followed to support the requirements from the UN Peacekeeping operations’ point of view. The significant challenges were to ensure (1) flexibility of the software so that it works with different source data, including UN mission-specific basemap data and global OpenStreetMap data, (2) automatic and continuous update of global basemap vector tiles, (3) fast vector tiles that can be used with mobile devices in the field, and (4) interoperability with existing enterprise geospatial software frameworks. We approached these challenges by introducing "on-the-fly vector tile schema modification" to the Toolkit so that an agile adaptation, improvement, and optimization of the vector tile schema is possible. This method also reduces the use of temporary storage and improves the processing time by exploiting the outstanding stream processing capabilities of Node.js and Tippecanoe. We also adopted an approach to produce basemap vector tiles in modules, so that the processes to produce and deploy the vector tiles are well pipelined. This modularization approach also extended the scalability of the Toolkit by allowing parallel or even distributed production. Quantitative measurements, like in vt-optimizer, were other dominant methodology adopted in the Toolkit that enabled evidence-based performance tuning and production time reduction the vector tiles. As a result, we successfully implemented automatic and continuous updates of basemap vector tiles from a continuously updated PostGIS database. The paper also covers how the project ensured interoperability with different existing enterprise geospatial software frameworks that use less-advanced web map libraries. The project aims to build a sustainable community of developers supporting the provision of fast and interoperable basemap vector tiles that meet the requirements of various users in the field missions and UN headquarters among others. None about this event: https://talks.2019.foss4g.org/bucharest/talk/3DGWDJ/

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/

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

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/

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/

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/

The emergence of software-as-a-service platforms for geoprocessing of large raster datasets provides a tempting and fast way to try new raster algorithms or indicators. As with any other SaaS platform, the downside is the inability to run the same process in our own computers; be it because of recklessness during systems design or because of a will and purpose to create vendor lock-in. This talk will analyze such a case of vendor lock-in in raster geoprocessing SaaS, and a means of running the same raster processes efficiently in the end-user's (or operator's) hardware (so-called "edge computing" for the buzzword-inclined). Moving away from SaaS in this case even provides extra benefits, such as better data cacheability and real-time algorithm tweaking. None about this event: https://talks.2019.foss4g.org/bucharest/talk/YKC3DT/

In this talk, we will give an overview of the recent works that have occurred in the PROJ, libgeotiff and GDAL libraries regarding Coordinate Reference Systems (CRS). Those improvements have mostly taken place in the venerable PROJ library that has evolved over the last 30 years from handling “only” more than hundred of cartographic projections to becoming a full-fledged library for CRS management and transformations. PROJ 6 now supports OGC and ISO standards regarding object modeling (ISO-19111 / OGC Abstract topic 2), and their Well-Known Text representation (OGC WKT1, WKT2:2015 and latest WKT2:2018). A sqlite3-based database embeds the definitions coming from various authorities: EPSG, IGN-France and the ESRI projection engine. PROJ can now compute optimal and more accurate transformations between two CRS without necessarily using the ill-defined WGS84 pivot (“late-binding”), and support new CRS and transformations. We will discuss the the adoption status of PROJ 6 by the rest of the OSGeo stack and present quickly how to migrate to this new version. None about this event: https://talks.2019.foss4g.org/bucharest/talk/T9AQBS/

More open pointcloud data is released every year and with it there is an increasing request for automatically generated large scale digital maquettes that can be used in city-planning, environmental modelling and 3D data-analysis. We will show how we use a pipeline of OS software that goes from pointclouds and cadastral data to a full scale 3D maquette of your country. Processing happens mostly in postgres and takes typically a couple of minutes per square km. Included in the talk is: * introduction of some python-scripts for pointcloud-processing * adoption of procedural language in postgres * advanced use of postgis (voronoi, sfcgal etc) * generating 3D tiles * styling a maquette in cesium The presentation will be fast paced and includes a range of technical details but should be understandable for the average person. It includes code examples and live demo's. In the end you will have an understanding of available software (both new and existing), do's and don'ts in generating 3D data with OSS and contemplations on how to use a digital 3D maquette. None about this event: https://talks.2019.foss4g.org/bucharest/talk/SJH3VL/

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/

**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/

Working Group 4, also called Spiral 4, of the UN Open GIS Initiative aims to provide solutions to collect geospatial data for UN missions. Due to the diversity and complexity of source data and mission fields, one single solution for geospatial data collection could not satisfy the requirements from the UN. Furthermore, most of the UN missions take place in regions where geospatial data are very limited. Spiral 4 has been working to develop and provide several solutions for divers and difficult requirements from the UN. In this talk, we will present the vision and solutions that we are developing so far, such as live drone maps, open geo-CMS, and quality control tools. We will also discuss and share the lessons learned from Spiral 4. None about this event: https://talks.2019.foss4g.org/bucharest/talk/D3YTDW/

geOrchestra gathers an open source community to build an INSPIRE compliant Spatial Data Infrastructure. The result is a customizable, interoperable and free INSPIRE SDI, based on the best geospatial open source components. Referenced on Github, geOrchestra offers a solution to publish and share spatial data on intranet and internet. geOrchestra project is built around several independent and interoperable applications, such as Geoserver, GeoNetwork. These various modules are loosely coupled, meaning that the operation of each module does not affect the other. Communication between modules uses OGC standards. geOrchestra was designed to meet the requirements of the INSPIRE Directive, which aims to establish a spatial data infrastructure at European scale, with the aim to meet the challenges of sustainable development. This talk will describe the geOrchestra community project and give a project status update. None about this event: https://talks.2019.foss4g.org/bucharest/talk/BX3NXY/

You may have heard about the GeoCat Bridge plugin for ArcMAP. A plugin to facilitate hybrid open source/proprietary environments. We’re planning a similar tool for QGIS. We'll present the current status and challenges in this presentation. Main goal of this plugin is to ‘facilitate publication to an open OGC/INSPIRE SDI as easy as possible’. To facilitate this we apply various principles: - Publish data as layer/coverage/featuretype in GeoServer or Mapserver - Require minimal metadata to comply to OGC/INSPIRE - Register datasets in a catalog with proper linkage to/from the data services - Migrate data to GeoPackage, Postgres or reference existing data An important aspect to focus on is metadata management. Last year an initiative started to improve metadata management in QGIS. Some major improvements have been introduced. The Bridge tool will benefit from these developments. New options are the ability to import, export, validate and publish INSPIRE/ISO metadata. Improve SLD creation (for usage in Geoserver). Proper linkage between the catalog and the gis server. None about this event: https://talks.2019.foss4g.org/bucharest/talk/HKHWK9/