Chaos Computer Club - archive feed

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/

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/

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/

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/

Image classification of urbanization processes require reference data either for training or for validation. However, there is scarcity of reference labeled datasets specifically to detect urban areas. In this talk, I will present three approaches for collection of open-source reference data that mark built-up areas. None about this event: https://talks.2019.foss4g.org/bucharest/talk/GBJW3P/

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/

What can you do with this GeoServer thing? This talk covers some of the basic (and not so basic) ways to use GeoServer to publish your geospatial data and make it look great! GeoServer made its first release in 2001 and has grown into an amazing, capable and diverse program. This also means the “feature list” is spread over years of release announcements, presentations, mailing list archives! This presentations provides a whirlwind tour of GeoServer and everything it can do today! This talk is a visual guide to the features of GeoServer. Are you just getting started with GeoServer, or considering it for the first time? Attend this talk and prioritize what you want to look into first. Are you an expert user who has been running GeoServer since version 1.0? Attend this talk and see what tricks an optimizations you have been missing out on! None about this event: https://talks.2019.foss4g.org/bucharest/talk/MZPNAC/

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/

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/

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/

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/

<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/

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/

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/

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/

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/

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/

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/

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/

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, 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/

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/

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/

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/

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/

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/

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/

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/

GeoNode is an open source framework designed to build geospatial content management systems (GeoCMS) and spatial data infrastructure (SDI) nodes. Its development was initiated by the Global Facility for Disaster Reduction and Recovery (GFDRR) in 2009 and adopted by a large number of organizations in the following years. Using an open source stack based on mature and robust frameworks and software like Django, OpenLayers, PostGIS, GeoServer and pycsw, an organization can build on top of GeoNode its SDI or geospatial open data portal. GeoNode provides a large number of user friendly capabilities, broad interoperability using Open Geospatial Consortium (OGC) standards, and a powerful authentication/authorization mechanism. Supported by a vast, diverse and global open source community, GeoNode is an official project of the Open Source Geospatial Foundation (OSGeo). None about this event: https://talks.2019.foss4g.org/bucharest/talk/DXM898/

With an aim of developing and delivering open source geospatial solutions to the UN, the UN Open GIS Initiative was established in March 2016, taking full advantage of mission partner expertise from UN member states, technology contributing countries, international organizations, academia, NGO’s and private sector. In order to fulfil the diverse requirements of UN field operations, the scope of the UN Open GIS Initiative covers the geospatial software of the UN Spatial Data I nfrastructure. The activities are organized into four working groups, referred to as ‘spirals’; Spiral one for geo-portal and system infrastructure, Spiral two for capacity building, Spiral three for geo-analytic functions, and Spiral four for geospatial data collection. This talk will cover an overall introduction of the UN Open GIS initiative including the vision, strategies, technical roadmaps, and achievements of each working group. The experiences and lessons learned from the initiative will be shared during the talk, which we hope will be helpful to the UN as well as developing countries. We will also discuss how to leverage the FOSS4G community and the UN Open GIS Initiative. None about this event: https://talks.2019.foss4g.org/bucharest/talk/USLYT8/

QGIS 2.18 has been discontinued - the king is dead. QGIS 3.4 is the new long term release - long live the king! QGIS 3.10 is being developed - The princess is growing In this talk, I'll try to highlight the very best features available in the QGIS 3.x series like: - User profiles - Multiple map views - Native 3D viewer with support for vector features and mesh data - Mesh data support - Autocompleting search - Unified Data Source Manager - GeoPackage as the default format - Select features by value tool - Lots of new processing tools - Project DB/Auxillary storage and easy custom labelling - Editing in place - New renderers - Lots of improvements to Print composer - Valid CRS Extents Preview None about this event: https://talks.2019.foss4g.org/bucharest/talk/9TMMFG/

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/

The brave new world of 3D mapping has taken little notice of time-proven rules of cartography, as if arbitrary viewing angles could somehow obliterate the need to convey a clear hierarchy of features. In this talk we will show how the vector styling capabilities in vts-geospatial may be used to overcome that long-standing shortcoming. From the choice of a basemap through the definition of intellectual and visual hierarchies to the coding of visual style, we will show how to produce 3D maps which aspire not only to the aesthetical appeal but also to the information value of a real cartographic product. None about this event: https://talks.2019.foss4g.org/bucharest/talk/QA3M7X/

# 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/

Deutsche Telekom AG (DTAG) revolutionises the planning process of fibre networks in order to increase the number of connected households and industries dramatically as well as to shorten the time to market in general. A brand-new world comprising the build up of a major SDI, lots of geodata and heavy geoprocessing is needed to substitute previous manual tasks and to sustain the goals. Think about a project, that will be developed by +10 companies, each with its own frameworks, procedures and deployment workflows. To succeed, you'll need more than confidence in the team. This is also because of other complicating factors like IT security, large data pipelines or ever-changing IT infrastructure. This is where DevOps and AGILE practices came to the rescue. It gave a structure and a common understanding of the workflows to every project member, as well provided enough automation and flexibility to adjust to the constant changes the project undergone. In this talk, we’ll present the key challenges and how DTAG and the team of the FTTH-Factory successfully implements agile and DevOps workflows for the project. If we’re brave, we’ll do DevOps on stage. None about this event: https://talks.2019.foss4g.org/bucharest/talk/DVLP9R/

A comprehensive look behind the scenes of HERE XYZ to demonstrate the components starting with the approachable, browser-based Studio to build maps, large data management operations with CLI all the way to developer APIs. You’ll discover the history of XYZ, what projects currently run on the service and the ongoing process of making it open source. Learn about our vision of collaboration with the community by offering both HERE and OSM map data on XYZ. None about this event: https://talks.2019.foss4g.org/bucharest/talk/9TTYAH/

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/

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 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/

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/

The talk presents the Planet overview, with a focus on Planet’s mission and vision and how satellite data users leverage our products and services. We will emphasis on Planet’s products - PlanetScope and SkaySat imagery Planet Analytics. Key verticals and uses cases. None about this event: https://talks.2019.foss4g.org/bucharest/talk/JTYG8T/

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/

Due to the growing population in urban areas, the building structures become more huge and complicated. The demands for geospatial information and services in indoor space are increasing as well as outdoor spaces. An OGC standard, called IndoorGML, was published to provide a standard indoor spatial model and exchange data format. And inous R&D initiative has been established to set up an eco-system for IndoorGML based on open source software. In this talk, we will present an overview of this initiative and details of the achievements so far. First, it will covers several approached for 3D indoor map construction in IndoorGML from point cloud, blueprint maps, as well as crowdsource. Second, the conversion issues from CAD and BIM data to IndoorGML will be also discussed in the talk. Third, we will present several interesting application services of the initiative such as sharing IndoorGML data via 3D geo-portal and voice map service for blind people. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ZMTKLV/

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 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/

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/

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/

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/