Chaos Computer Club - archive feed

The sheer amount of statistics collected as the world entered the age of Big Data transformed computers from simple tools for processing data into complex machines able to present the results of this processing as compelling visuals with little to no human input. And when it comes to presenting the evolution of phenomena that vary in space and time, there is no better solution than a map. As part of a project involving a major institutional client, we developed a FOSSGIS-based custom spatial visualisation widget for use with Microsoft’s PowerBi. Integrating with an environment that includes a plethora of graphical representations for data, the developed widget, built on top of OpenLayers, provides a novel view of data with spatial characteristics. Unlike the default map widgets, it allows the use of custom, time-enabled geometries, as well as custom basemaps, consumed using open standards (GeoJSON, WMS), custom projections (with Proj4js), feature zoom across the International Date Line and complex visualisation using charts on top of choropleth maps. We thus show the advantages of using open-source GIS technology on top of proprietary frameworks, providing advanced, project-specific features supported by a wide community. None about this event: https://talks.2019.foss4g.org/bucharest/talk/A9LKYS/

Korean government has launched the 'Public Safety Map' to provide safety information, with a web map service since 2013. It collects 160 pieces of information from 29 agencies, and compiles Public Safety Information maps in eight categories. In 2018, we analyzed performance and usage patterns to evaluate the use of the system. This analysis revealed that users were having difficulty in accessing the thematic map rather than the information itself. Users unfamiliar with the service had to click on the menu tree structure in order to find the desired topic, which resulted in a decrease in service utilization. It also became clear that it was difficult for users to find their desired thematic map, because there were over 214 service menus. In order to enhance accessibility through an improved user interface, we applied a new technology: a chatbot. Now users can find the desired thematic map and move to the area of interest through dialogue with the chatbot. As a result, where some thematic maps had previously taken up to eight levels (clicks) to display the thematic map, this was reduced to two levels by using the chatbot service. We plan to improve the chatbot service and continuously increase its utilization through user surveys . None about this event: https://talks.2019.foss4g.org/bucharest/talk/HSUP3G/

Dar es Salaam, the primary city of Tanzania is highly vulnerable to flooding even from minor Storms, floods in 2009, 2011, 2014 and 2015, caused loss of life,injury, and severely impacted diverse sectors. Dar es Salaam’s flooding problems are largely a function of inadequate storm drainage and poor waste disposal practices rather than being driven exclusively by only extreme rainfall. To reduce flood risk through improved management of drain infrastructure The World Bank Tanzania funded the development of a flood risk monitoring system(Twaa Mtaro) to engage communities in drain clean ups, to facilitate community reporting on blockages affecting the flood risk of local drainage systems and provide municipalities with relevant data related to drain cleaning activities. The development of Twaa Mtato as a web application started May 2017 however the initial co-debase was forked from Chicago-based website for collecting and displaying resident submissions around snow emergencies called adopt-sidewalk. Twaa Mtaro core is based on ruby on rails, uses postgres/postgis for data storage and leaflet for map visualization, all geospatial data(drains data) was prepared using QGIS. None about this event: https://talks.2019.foss4g.org/bucharest/talk/SUT9WK/

Comet Time Series (CometTS) is an open-source tool that facilitates analysis and visualization of satellite imagery time series. Such analysis can enable population estimation research, change detection methods, or natural disaster monitoring. Historically, analyzing large time series of satellite imagery was achieved using proprietary GIS tools or by time-intensive methods requiring substantial geospatial expertise. CometTS requires only a web browser, Python, and dependent packages to function, obviating the GIS requirement for time series analysis and visualization. CometTS provides a partially automated approach for analyzing a time series of satellite imagery in any user defined area of interest, then calculating relevant statistical quantities (e.g., measures of central tendency and variation), and visualizing their changes over time, all in a matter of seconds. The overall focus of this talk will be on the development and application of CometTS for two analyses: 1) analyzing dynamic population changes over time in Africa and the Middle East and 2) ccreating the first independent estimate of the number of persons without power over time in Puerto Rico following Hurricane Maria. None about this event: https://talks.2019.foss4g.org/bucharest/talk/A8W7SM/

Water and Sanitation Corporation (hereinafter, called WASAC) and Japan International Cooperation Agency (hereinafter, called JICA) are coducting the project for strengthening operation and maintenance of Rural Water Supply Systems in Rwanda (hereinafter, called RWASOM) since 2015. RWASOM mainly supports 4 model districts - Rwamagana, Kayonza, Ngoma and Kirehe at the Eastern Province in Rwanda. The project conducts developments of manual and capacity building of WASAC, Districts and Private Operators. <br> Currently, most of countries focus SDGs to achieve 100% water access by 2030. Because of that, it is very necessary to collect and analyse the GIS inventory data for water supply management, especially planning and improvement of operation and maintenance. <br> Now WASAC has started to map all of water facilities data in rural area under support of RWASOM since July 2018. Then, we also started to use collected data by offline since Feb 2019. <br> We spent the minimum budget to conduct our mapping and data sharing without customizing FOSS4G so much. This our approaches might be very useful for other users in developing countries. So we would like to share our experience and approach of FOSS4G in Rwanda. None about this event: https://talks.2019.foss4g.org/bucharest/talk/KARD8L/

Open data and publicly available satellite imagery are transforming how cities can prepare for disaster and climate risks and strengthen urban resilience. In this talk, we present a data-fusion approach that utilizes free satellite imagery (Sentinel-1 and 2) to identify flood prone areas in developing cities. The approach, which is fully automated, relies on SAR (Sentinel-1) and optical data (Sentinel-2) to identify and map urban areas that have been prone to flooding in the last 5 years. None about this event: https://talks.2019.foss4g.org/bucharest/talk/VSLZ8T/

Working with the software for geospatial data visualization or analysis, we always spend time to change styles, define the extent, grid size or influenced area. It is not just a time-consuming activity and a threshold for newcomers - for lot’s of cases using default parameters could mislead the researcher and return inappropriate results. It’s time to change it over. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ZYX3V7/

Agency for Communication Networks and Services of the Republic of Slovenia (AKOS) is the national regulator and one of its missions is to promote competition, to ensure equal conditions for the operation of electronic communication network operators and service providers. AKOS established open source mapping system using PostgreSQL/PostGIS, QGIS and Geoserver for effective supervision of electronic communications and services. Database consists of spatially oriented data as well as attribute data collected from owners of electronic communications infrastructure and different public institutions e.g. The surveying and mapping authority of the RS, Ministry of the interior, etc. Combining these data gives AKOS complete overview of the networks availability and population/homes coverages by various broadband and mobile networks. Database is being updated every few months with newer data, so we can monitor development of broadband services by years and by owners of communications infrastructure. AKOS launched an open portal to enable public access to the part of these data for interested stakeholders in 2019. Main purpose of this portal is to reduce costs of building superfast networks (VHCN), encourage co-usage and joint construction. None about this event: https://talks.2019.foss4g.org/bucharest/talk/8Y9XVL/

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

Imaging data, whether from cameras, satellites, drones, “go-pro”, multibeams, or sonar devices despite linked to spatial data are not embedded in traditional relational databases, rather tend to be stored separately and accessed from one or more directories. As a result, managing images turns to be problematic and leads to cases of duplication, unnecessary use of space in servers or standalone machines, laborious searching and convoluted sharing. We will present OMERO, an open image data management platform for storing, sharing, searching and accessing multimodal imaging data. OMERO is an application originally built for biological microscopy, but which we have shown can also be used for ecological and environmental studies. OMERO also enables the integration with analytical tools such as R, ImageJ, Fiji, KNIME and Matlab, allowing scientists to derive quantitative outputs from large collections of imaging data. After discussing about the challenges we had to face, e.g. the ingestion of geospatial image formats, we will showcase our applications of OMERO with satellite and drone imagery, underwater photography, otholiths slides and the integration of tools for object identification, photo-id catalogues, and pattern analysis. None about this event: https://talks.2019.foss4g.org/bucharest/talk/TEXFH7/

<p>Most real world features can be presented as vector or raster layers. In open source world, GDAL provides a comprehensive set of tools to interact with such datasets. But vector or raster is not always a suitable description of real world features. Data from oceanography, metrology, hydrology, etc often have multiple components at each location on an irregular structured mesh. A **mesh** can a collection of vertices, edges and faces in 2D or 3D space: - vertices - XY(Z) points (in the layer's coordinate reference system) - edges - connect pairs of vertices - faces - sets of edges forming a closed shape - typically triangles or quadrilaterals (quads), rarely polygons with higher number of vertices  Mesh gives us information about the spatial structure. In addition to the mesh we have **datasets** that assign a value to every vertex. For example, ice cap thickness at particular moment of time. A single file may contain multiple datasets - typically multiple quantities (e.g. water depth, water flow) that may be varying in time. None</p> about this event: https://talks.2019.foss4g.org/bucharest/talk/XD8EZL/

Vector tiles are a challenge for the creative mind. In this talk we will take you along the path of making artistic styles for your vector tiles like this [Crafty map](https://apps.webmapper.nl/crafty_map/) and the [Paradise in the Polder map](https://nieneb.github.io/mycelium/). Starting from the importance of having a good and clear tile set to making your own sprites and glyphs with command line tools and software like Inkscape and Gimp. After that we show some trick to add animation with Turf.js and D3.js. Like placing random hot air balloons all over your map! Vector tiles are on the cutting edge of technology and creativity, we combine both to show you the endless possibilities that vector tiles offer! None about this event: https://talks.2019.foss4g.org/bucharest/talk/LLECPZ/

FrontierSI have been working with the Open Data Cube Community to develop simpler ways of running the ODC, and one of these is the ‘Sandbox’ project, where we have built a pre-configured ODC instance as a reference deployment. The Sandbox aims to provide developers, data scientists, decision makers and everyone else a way to learn about remote sensing, the ODC generally, or about the various applications that earth observation data can be used in. The use of Docker, Kubernetes, the ODC and Dask enables for a scalable environment that can run non-trivial workloads. The ODC Sandbox is as easy to use as visiting a website, it's powered by vast quantities of open data, it’s available now and the architecture is open, so you can build one yourself too. This presentation will briefly introduce the ODC project and will then discuss the Sandbox, how it is structured and what is required to get started. The presentation concludes with demonstrations of a number of use cases and applications of the ODC that are available in the Sandbox in addition to future plans. None about this event: https://talks.2019.foss4g.org/bucharest/talk/CF7LYC/

The PDAL and Entwine stack is a powerful toolkit for managing and exploiting massive point clouds - and small point clouds, and weird point clouds. Because they're given freely to the community, small enterprises can pick them up and do incredible things - which are normally the reserve of governments, infrastructure providers, and universities. Come for a whirlwind tour of how these tools have been deployed by a tiny business on airborne LiDAR; photogrammetric point clouds; and huge bathymetric surveys - from raw data through to beautiful visualisations, which are also data as foundation infrastructure. Then stay for some words on how you don’t need to be a programmer to give back to the community which grows and supports these capabilities . It's part technical, part research, part business, and part provocation. None about this event: https://talks.2019.foss4g.org/bucharest/talk/YHDJMT/

The talk will introduce Copernicus - the European flagship Earth Observation programme - its support for European policy, the Copernicus startup and research programmes, and its contribution to the European Data Economy. The talk will also discuss the challenges and opportunities related to the large volumes of data being generated. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ZLLXY9/

Created to serve a locally-led global map making network, the original Open Green Map (OGM) - www.opengreenmap.org, a social mapping platform, was launched by Green Map System in 2009. In the decade since, an 8 language interface and mobile site collector are among the features that attracted users in 40 countries. Dubbed ‘open’ as sites could be enhanced by the public, more than 40,000 sites were added to the OGM locally on 600 unique maps. Many of these maps became the backbone for local engagement projects and led to interactive spin off editions, print maps, experiences and media projects. Already recognized in 65 countries, Green Map Icons bring a wide range of sustainability resources to light. These lively symbols identify, promote and link local resources in an eye-catching, easy to grasp manner that systematically connects themes and places in meaningful way. Green Map has always served a mixed group of participants, including NGOs, schools and local governments. Since the globally-designed set of shared icons date to 1996, for many early users, Green Map was their first internet project. These evolving Icons have been provided as a font so they could be used with any graphic design or GIS application. None about this event: https://talks.2019.foss4g.org/bucharest/talk/W7JXB9/

Our seas and oceans are substantially polluted by conventional and chemical munitions from the two World Wars. They were introduced by different pathways e.g. mine laying, naval battles and shipwrecks. However, the biggest amount originates from large scale ammunition dumping activities after World War II. The goal of the OpenSource based Ammunition Cadastre Sea is therefore data acquisition, assessment and monitoring of the status of ammunitions in our seas and oceans and their effects. Almost all relevant data in this field has a spatial context. Therefore the idea is capturing, visualizing and analyzing everything that is related to ammunition in the sea (e.g documents, maps, high-resolution measurements) and combine everything by spatial relationships. In addition, a key component of the Ammunition Cadastre Sea are European research projects e.g. DAIMON or North Sea Wrecks. DAIMON (Decision Aid for Marine Munitions) uses for example artificial intelligence to analyze complex situations and provides recommendations for actions. None about this event: https://talks.2019.foss4g.org/bucharest/talk/NPY8RV/

Vector tiles are an established format to publish highly interactive maps for use on mobile devices and desktop browsers. A benchmark compares MVT tile generation and tile serving performance of specialized servers like t-rex and proven map servers like UMN Mapserver. None about this event: https://talks.2019.foss4g.org/bucharest/talk/VUHLFF/

We started working on BIM (Building Information Model) and GIS integration in 2016. At that time, as one of the results of EU funded research project [DIMMER](http://www.drawingtothefuture.polito.it/projects/dimmer/), we [linked](http://2016.foss4g.org/talks.html#140) the simplified representations exported from BIM to the urban environments in Turin, Italy and Manchester, UK. Since 2016, our work on GIS and BIM integration has steadily [progressed](https://webthesis.biblio.polito.it/6408/). Nowadays, the Municipality of Turin uses the successful integration of GIS and BIM objects for internal facility management of thirty public owned buildings in Turin. Adopting the [3D Tiles](https://github.com/AnalyticalGraphicsInc/3d-tiles) OGC standard, we stream and render online the full BIM and photogrammetric reconstruction of Turin buildings and monuments. Also, using open source tools and open data, we extend the value of digital BIM through visualisation and integration with available cartography. This allows us to fully benefit of BIM potentiality in terms of data and object management. Furthermore, we display our maps and models using open source virtual globes, an easily accessible environment. None about this event: https://talks.2019.foss4g.org/bucharest/talk/3EDL7D/

The defining characteristic of point cloud data is that they are large, and tools such as [Entwine](https://entwine.io) and the Entwine Point Tile specification can help you overcome their bigness. We will discuss how we used Entwine and EPT to construct point cloud web services for the [USGS 3DEP LiDAR data](https://usgs.entwine.io) of the United States as an Amazon Public Dataset. We will also demonstrate how to leverage EPT web services with open source software such as [PDAL](https://pdal.io) to extract information, enhance data utility, and reduce data volume for tasks such as filtering, object identification, and visualization. You will learn about how these tools work together with others such as [GDAL](https://www.gdal.org/) and [PROJ](https://proj4.org/) to provide data management and processing pipelines for expansive data holdings. None about this event: https://talks.2019.foss4g.org/bucharest/talk/9M3WQB/

During the last decades, many climatic parameters are more and more deviating from the average according to the mean values registered since consistent weather observations are available. The World Meteorological Organization (WMO) stated that the 2015, 2016 and 2017 years were the warmest since 1850 [1]. This trend is going to be confirmed in 2018 according to the preliminary data analysis of the last year. Drought events will likely occur more frequently or with an higher intensity either in Europe and in Asia [2,3]. Sri Lanka is not an exception, the norther-east area is already facing long period with very few precipitation events. Drought has multiple impacts on environmental and socio-economic aspects such as water resources management, human lives, energy consumption and many others. This climatic scenario highlights the importance of the development of monitoring systems to support the management of the drought risk. The 4onse project (analysis of Open, Non-conventional, Sustainable and Effective monitoring systems), funded by the Swiss National Science Foundation (SNSF), aims to evaluate “non-conventional” Environmental Monitoring System (EMS) based on open technologies both hardware and software. At this state of the project, after developing and validating the prototype [4], 30 weather stations have been deployed in the Deduru Oya Sri Lankan basin and collecting the basic weather parameters (air temperature, humidity, pressure, accumulated rain, wind speed and wind direction). The system can help developing and low-income countries in coping the lack in the monitoring and management of natural hazards. In fact, thanks to the collected data, it is possible to elaborate some drought indexes which help in evaluating the intensity of the dry periods. The Standard Precipitation Index (SPI) has been selected as principal indicator to evaluate droughts. The SPI has been calculated integrating the data collected by the 4onse stations together with the Climate Hazards group Infrared Precipitation with Stations (CHIRPS) dataset. In this paper, the authors present the results of the methodology used and the proposed system to share the information that are useful to better take mitigation actions in time. [1] WMO WMO statement on the state of the global climate in 2017; 2018; ISBN 978-92-63-11212-5. [2] Spinoni, J.; Vogt, J.V.; Naumann, G.; Barbosa, P.; Dosio, A. Will drought events become more frequent and severe in Europe? International Journal of Climatology 2018, 38, 1718–1736. [3] Guo, H.; Bao, A.; Liu, T.; Jiapaer, G.; Ndayisaba, F.; Jiang, L.; Kurban, A.; De Maeyer, P. Spatial and temporal characteristics of droughts in Central Asia during 1966–2015. Science of The Total Environment 2018, 624, 1523–1538. [4] Strigaro, D.; Cannata, M.; Antonovic, M. Boosting a Weather Monitoring System in Low Income Economies using Open and Non-Conventional Systems: Data Quality Analysis. Sensors 2019, (accepted). None about this event: https://talks.2019.foss4g.org/bucharest/talk/MLUXMW/

The road traveled to get to a consistent, accurate and fast national vector tile set: Over the past two years we've been testing various open source tools to create and maintain [cartiqo](https://cartiqo.nl): a vector tile set for the Netherlands aimed at creating beautiful webmaps. In this talk we discuss these various tools and explain why we went with **[Tegola](https://tegola.io/)**. Building a harmonized vector tile set based on various open data sources takes more than simply stuffing geometries in tiles. We will discuss the issues we encountered, the choices we made and show some examples what you can do with a rich harmonized vector tile set. By the end of this talk you should be able to build your own national vector tile set. None about this event: https://talks.2019.foss4g.org/bucharest/talk/7MJHTF/

OpenMapTiles is an open-source set of tools for processing OpenStreetMap data into zoomable and web-compatible vector tiles, which are ready to use in OpenLayers, Mapbox GL, Leaflet, QGIS as well as mobile applications. This talk gives an overview of the major changes in the project. Apart from providing a base map of the whole world, the same principles of OpenMapTiles can also be used to create various thematic layers. We'll also talk about and demonstrate a possibility to build on top of the OpenMapTiles tools to produce the vector tiles in different coordinate systems while keeping all the features, such as interactivity to create powerful region-specific applications. None about this event: https://talks.2019.foss4g.org/bucharest/talk/A77U7H/

(G)EO Hack 19 is an innovative hackathon at the interface of traditional and scientific knowledge that will take place during the GEO Ministerial Summit.The EO-based challenges will be co-designed by indigenous youth communities throughout the world to encourage the co-development of innovative EO-based applications that are locally relevant and enhance the communities way of learning. The primary goals of the activity are to promote the use of open EO data among indigenous communities and ultimately to co-design locally relevant free and open source software that promote new means for aligning local/ traditional knowledge and science co-production across cultural and generational lines. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ES9YTG/

The Copernicus data provided on a free, full and open access basis are an invaluable asset for both established and new businesses. EU funded projects such as e-shape and PARSEC aim to support developers and entrepreneurs through solid access to knowledge, technology, capital and markets. e-shape endeavours to build capacity across the whole value chain for the exploitation of EO data and services as well as to boost application sustainability. PARSEC, a holistic acceleration programme, aspires to provide start-ups and SMEs with the necessary resources to develop and launch their own EO based ideas into the market. None about this event: https://talks.2019.foss4g.org/bucharest/talk/WLWCE8/

Lizmap is an open-source application to create web map application, based on a QGIS plugin and a Web Client. The project started in 2011 and the 3rd version has been published in 2016. In 2019, the project has to be adapted to QGIS 3. We will present the state of the project, the connected projects as mapbuilder module and extension scripts, and what is coming in the future. None about this event: https://talks.2019.foss4g.org/bucharest/talk/YFKHGP/

The ingredients are existing data that may or may not have a spatial component, your understanding of said data at your disposal and finally PostGIS and the bevvy of functions that it ships with. No need to venture into the kitchen or even ignite your stove; 'Cooking' here refers to the practice of using select bits of data from an experiment to get results that you should be getting, even if your experiment is going awry. There are times when you need spatial data for a given purpose, but sending a team out into the field is not practical given existing constraints. In cases where accuracy need not be sub decameter then there are ways and means to generate spatial data for visualization purposes that can be just good enough. PostGIS has a plethora of functions to help you get to that point of having spatial data that is just good enough, especially for visualization. In this talk, I will show how, for real instances, PostGIS was used to generate the data needed and how in some cases, the data was spatially accurate to within 10 meters. None about this event: https://talks.2019.foss4g.org/bucharest/talk/JULQSH/

See that little map on the geoserver.org web site? While looking a lot like plain OpenStreetMap tiles, it’s actually rendered by a GeoServer, using CSS styles, off a PostGIS database. The map aims to be a very close clone of the actual OSM official one, meaning it has a lot of little details often removed from lookalikes to reduce the data to be loaded and rendered. This presentation will provide a little history of its development, the performance added to speed up its rendering, a good look at the styles styles used, and the overall setup and the of the GeoServer, both in terms of physical deployment, configuration and tuning. Finally, we’ll show an alternative setup and map, still working on GeoServer, but based on styles and data from the OpenMapTiles project. None about this event: https://talks.2019.foss4g.org/bucharest/talk/YELW78/

Many of you have asked about the news of fires in the amazon forest and may have a lot of other questions to ask. There are many questions and many different analyses to be made. For the purposes of this presentation, I will propose the following question: “Is the amazon forest being burned in large rates?” I will demonstrate a geoprocessing task using unwieldy data from the NASA FIRMS system (MODIS and VIIRS) and FOSS4G tools to try to answer the proposed question. What I will NOT do is discuss politics, ecology, or causes and effects. This is a complex subject and I believe one should ask questions focused on the decision one has to make. What are you trying to decide? What questions should you ask to help you in your decision? Maybe this presentation will provide you with a workflow and a few tools to do your own research. None about this event: https://talks.2019.foss4g.org/bucharest/talk/YYGMRW/

Nowadays about 54% of world population lives in urban areas and, according to the 2014 UN-ESA report, this percentage is expected to increase up to 66% by 2050. We are clearly facing a rapid and global trend, that will affect daily life in the next few decades. It is, therefore, crucial to managing this social and cultural change in a much more sustainable way, compared to what was done in the past. Within this framework, the collection, integration, and sharing of reliable and open spatial information is a key factor, benefiting both of different space (Earth Observation (EO) satellites and Global Navigation Satellite Systems (GNSS)) and ground (low-cost devices networked in the Internet of Things (IoT), 50 billion are expected within 2020) technologies. The contribution deals with the general presentation of the Urban Geo Big Data, a collaborative acentric and distributed free and open source platform consisting of local data nodes for data and related service Web deploy, a visualization node for data fruition, a catalog node for data discovery, a CityGML modeler, data-rich viewers based on virtual globes, an INSPIRE metadata management system enriched with quality indicators for each dataset.For data visualization and analysis, a 3D model of the urban environment was created. CityGML is an open standard that has been thoroughly tested in the past years. One of the activities in this project was to create an Extract, Transform and Load (ETL) procedure for converting information from cartographic sources into CityGML at LOD1 (Level of Detail 1). Data are viewable by means of Cesium or Web World Wind depending on the specific examined case. Three use cases in five Italian cities (Turin, Milan, Padua, Rome, and Naples) are examined: 1) urban mobility; 2) land cover and soil consumption at different resolutions; 3) displacement time series. Concerning mobility data and analysis, particular attention has been given to data modeling and processing algorithms with the aim to deliver value-added information enabling standard and innovative services (Origin/Destination matrix, flows checking, routing options, etc.) based also on crowdsourced data. Land cover and soil consumption data derive from semi-automatic classification of Sentinel 1 and 2, integrated with Copernicus land monitoring services at different resolutions and enhanced by photo-interpretation. Several environmental and landscape indicators are assessed at municipal level, exploiting spatial datasets. For displacement, SAR derived time series and the related Web services (WMS, WFS, and WMTS) metadata in RNDT format (the Italian extension of INSPIRE format) are automatically generated thus relieving the data provider from the need to create them manually. Besides the case studies, the architecture of the system and its components will be presented. None about this event: https://talks.2019.foss4g.org/bucharest/talk/8STCNM/

Copernicus offers, besides the well-known Sentinel satellite data, a wealth of domain-specific open environmental data sets, e.g. data on climate, wildfires, air quality, floods. One of the most popular data set useful for many environmental applications is the climate reanalysis ERA5 produced from the European Centre for Medium Range Weather Forecasts (ECMWF). Improvements in the spatial and temporal resolutions lead to an increase of the entire data volume up to 5 PBs. Additionally to the sheer amount of data, meteorological and climate data have a certain complexity, especially for “non-expert” users, as data can have up to five dimensions and two time dimensions. The current situation shows that a full, free and open data policy is one important prerequisite, but the key to fully unleash the potential is making the data ‘accessible’. If open data is not accessible, it becomes open data that is locked away in large data silos. However, making meteorological and climate data “accessible” means more than just improving data access. It requires improvements and developments along the entire data processing chain, including the development of example workflows and reproducible training materials as well as developing / enhancing mainstream open-source software tools. In this context, the FOSS4G spirit is vital. This talk puts the spotlight on open meteorological and climate data. Current ‘accessibility’ challenges and future needs will be discussed in order to make open meteorological and climate data better accessible to everyone. None about this event: https://talks.2019.foss4g.org/bucharest/talk/KENHRF/

After 35 years of of continuous development, [GRASS GIS](https://grass.osgeo.org/) comes again with great improvements. Being a community-driven project, it offers geospatial analysis, earth observation, time series processing and visualization. It supports large raster files (billions of cells), vector topology, and coupling with SQL databases. In our presentation we'll give an overview of the latest improvements. The algorithms for interpolation, solar radiation, water flow, and sediment transport have been parallelized. Experimental features include concave hull, vector algebra, point cloud import, DEM fusion and blending, object-based classification, Sentinel data processing, and spatio-temporal algebra. Furthermore, pest spread and urban growth modeling are now available. Importantly, Python 3 support has been added. Raster storage now benefits from new ZSTD compression. GRASS GIS supports GDAL up to v2.5 and PROJ up to v6. Easy cloud deployment is offered with ready-to-use docker images and an improved test coverage along with continuous integration. The code development will move to GitHub, including the issues and source code branches since 1987. A new, modern website is on the way, supported by a crowdfunding campaign. None about this event: https://talks.2019.foss4g.org/bucharest/talk/W3LWDV/

This is the ESA slot. abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text abstract text None about this event: https://talks.2019.foss4g.org/bucharest/talk/BLQU7Q/

How to compute the two closest points between two administrative units in a city and how this differs from distance computation? What happens when some points are on opposite/antipodal sides of the globe? How can one create equidistant points along a trajectory modelled by line segments? We discuss solutions to those questions highlighting some of the latest developments in Boost Geometry, the library that is currently being used to provide GIS support to MySQL. The implemented algorithms are parameterized by strategies that control the accuracy-efficiency trade-off. The proposed solutions work for 3 different coordinate systems (namely, cartesian, spherical and ellipsoidal) each of which comes with its own advantages and limitations. Those are illustrated and supported by benchmarks. The presentation is example driven thus emphasizing on the user perspective while glancing at the algorithmic and implementation aspects of the library. None about this event: https://talks.2019.foss4g.org/bucharest/talk/C3YXL8/

The coordination of increasingly faster development of geospatial Free and Open Source Software and more longer term oriented standards presents some challenges which have been identified and taken up by key organizations of the domain. OGC and OSGeo have a long history of cooperation, since many years we work together through a Memorandum of Understanding, which amongst other aspects provides OSGeo to a certain extend access to the OGC standards development process. The cooperation is meant to bring in requirements, ideas and expertise from the OSGeo community to the OGC programs and processes and provides the OSGeo community with an insight into the current developments of open standards. The Overview presentation will provide a short insight into the OGC programs and processes and will explain the idea and development approaches for the OGC baseline. It will also talk about the results of various hackathons (OGC API hackathon) and Innovation Program initiatives (e.g. EO Big Data Architecture) that will happen in June and July. It will furthermore give an update on the Future Directions technology trends mapping of OGC and how the OSGeo community can be part of it. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ZPFATH/

What are spatial reference systems and how to convert between them? What are various ways of creating transformation representation in Boost.Geometry and how to use them to convert between polygons on the surface of a globe and flat surface of a map? We discuss solutions to those questions highlighting some of the latest developments in Boost Geometry, the library that is currently being used to provide GIS support to MySQL. The implemented solutions allows to define transformations both in compile-time and run-time with known tradeoffs: execution time vs compilation time, run-time flexibility vs compile-time error reporting, etc. Last but not least we discuss similarities and differences between Boost.Geometry and Proj4 libraries. The presentation is example driven thus emphasizing on the user perspective. None about this event: https://talks.2019.foss4g.org/bucharest/talk/CKB79H/

As intention to facilitate faster establishment of cadastral databases, different projects were initiated to support rapid automated approach for boundary extraction from remotely sensed imagery. Such project is the EU funded “its4land”, developed as a joint venture between several organizations including University of Twente. Despite the current advancement of the modern segmentation algorithms, there are imperfections in the output that have to be further manually filtered out. Therefore, a QGIS plugin called BoundaryDelineation was designed and developed to support an interactive delineation of visible (cadastral) boundaries to speed-up the process. The plugin supports the full pipeline of loading, picking and drawing segments, and saving to a remote server the final validated output, which allows rapid reduction of the mouse clicks compared to manual delineation, which affects the overall speed of creation of cadastral entities. The presentation will consist of a general overview of the its4land project, and main focus on the usage of the BoundaryDelineation QGIS plugin as a more general-purpose assistant in boundary delineation. None about this event: https://talks.2019.foss4g.org/bucharest/talk/HRNDWV/

Imagine having a leading-edge application that manages Transportation Networks. Every aspect is user configurable and it can deal with any type of network. You can define multiple linear referencing methods (LRM) that can be network-type specific or across all your network types. You can also define any type of asset or event and the users can locate or retrieve the location of these features. Although the server-side "LRS engine" is going strong and getting more intelligent, the same cannot be said for the UI. Which it's a thick desktop client, on underlying technology you cannot control and looks dated. This was the situation Bentley found itself in, a while back. The way we solved it, which is the subject of this presentation, was using a mixture of open and closed source components. The UI was moved to the web and the communication mechanism was re-written. Using Oracle Mapbuilder, map definition files were created and dynamically fed to MapServer to render the maps which were then displayed through an OpenLayers interface. The end result, Assetwise ALIM LRS, is a living proof of the advantages of using this "best of breed" approach which benefits the end user from both a commercial and technical standpoint. None about this event: https://talks.2019.foss4g.org/bucharest/talk/LYXPTN/

An overview of the GNOSIS Map Tiles (GMTs) open specifications for tiling geospatial data developed by Ecere in conjunction with OGC Testbed 13 and 14 and the latest draft specifications can be found in OGC Engineering Report: http://docs.opengeospatial.org/per/18-025.html#GMTSpecs GMTs can contain different types of data such as vector data, satellite imagery, coverages/elevation models, point clouds and either embedded or referenced 3D models (e.g. using Ecere's E3D format, or another encoding such as glTF for example). GMTs are compact, ensure proper vector topology, and minimizes the time required to load onto GPU for hardware accelerated rendering. None about this event: https://talks.2019.foss4g.org/bucharest/talk/TSUBJX/

You are probably familiar with the terms artificial intelligence (AI), machine learning (ML) and deep learning (DL). However, do you really know how they work with GIS? In this session, we will use Python and various libraries to illustrate how artificial intelligence is used to detect deep and complex spatiotemporal patterns in data, and how to predict geospatial events of interest. This talk will cover several scenarios of applying the latest machine learning and deep learning techniques to geospatial data, including applying object detention using satellite imagery, detecting objects in videos and other workflows to incorporate these data sciences. None about this event: https://talks.2019.foss4g.org/bucharest/talk/JQTVFF/

In the past, desktop GIS were necessary to handle complex spatial business decisions. This lead to problems with data management, model updates and an increased cost to the organisation in hardware and (often) software maintenance. As organisations move to more cloud based solutions and provide staff with thinner client machines (chrome books etc.) it becomes harder for staff to manage more complex geospatial problems. The Open Geospatial Consortium (OGC) developed the web processing service (WPS) standard in 2005. It provides rules for standardizing how inputs and outputs (requests and responses) for geospatial processing services are made. The standard also defines how a client can request the execution of a process, and how the output from the process is handled. It defines an interface that facilitates the publishing of geospatial processes and clients’ discovery of and binding to those processes. This talk will present case studies of how Astun Technology has used the OGC WPS standard, as implemented by GeoServer, to allow users of web based mapping applications to carry out advanced spatial operations and allowed them to implement complex business logic without the need for specialised hardware or software. None about this event: https://talks.2019.foss4g.org/bucharest/talk/VL8H7Q/

Govmap - Israel's national geospatial portal. The national geospatial portal managed by the Survey of Israel, contains various governmental and public information and provides extensive applications of various aspects such as data collaboration, planning, weather, transportaion etc. Our main project these days is a migration of the geo-portal to open source technology. The talk will elaborate about these efforts and the uses being made with open source software. None about this event: https://talks.2019.foss4g.org/bucharest/talk/RUMCE8/

Ushahidi designers have been investigating what makes communities strong, resilient and what empowers them to feel like they are an integral and valued part of a whole. Building on a research led hypothesis, that more communicative and integrated communities fair better and recover faster when disasters like hurricanes, floods and terrorist attacks hit, we are building upon this statement from users: “We want to help people in a crisis and be helped back from our own” Now the Ushahidi product design team are finding a way to foster connections between people to help each other in little ways using technology and innovative processes like Machine learning, automatic systems and digital social trust, then we believe that we can create more of these resilient communities world wide. We’ll cover our recent in-depth field study in Nairobi communities and our wider community research worldwide. From Government services, Ambulance and Police to lesser known organisations like urban search and rescue (USR), SARAID, Team Rubicon and The Red Cross and then on to the communities of regular people that are supported b services and organisations and how they participate in the safety and growth of their communities None about this event: https://talks.2019.foss4g.org/bucharest/talk/B8D779/

After 05:00 the audio from the speaker is masked by audio from the video that is playing. In the early ages of Computer Science, there was only Command Line Interface (CLI). No mouse, no windows. But computers was already able to do more than just calculus. First of this kind -- in the early eighties ! -- GRASS GIS was able to manipulate, analyze and visualize geospatial data. All in CLI. But it was frightening for most users. CLI is terrifying. Then graphical interfaces arrived with windows and mouses. Computers started to be cheaper and more affordable. Almost everyone now can own and use a computer. With a graphical interface. Less scary, more accessible. And GIS followed the trend. ESRI created ArcMap, QGIS was born. Even GRASS GIS got a Graphical User Interface at some point. But isn't CLI making a come back ? Quietly ? Even in our small geospatial heaven ? Let's have a look at behind the curtain and see what CLI can offer nowadays with the Python and R datascience stacks. Let's look at CLI GIS, right in the eye ! By the end of the talk audience members will : * not be afraid of CLI anymore (let's hope) * might want to learn a scripting language and explore console mode * want to combine best of both worlds None about this event: https://talks.2019.foss4g.org/bucharest/talk/DKL3EW/

Geopaparazzi is an application for field surveys and digital field mapping for Android devices. Its simplicity and the possibility to use on as good as any Android device makes it a trusty field companion for engineers and geologists, but also for tourists who wish to keep a geodiary and any user that needs to be aware of his position even in offline mode. In Geopaparazzi it is possible to take notes with text, pictures and sketches and place them on the map. Notes can also be complex and form based in order to standardize surveys in which many people need to be coordinated. Recently we started the development of the Geopaparazzi Survey Server (GSS), a web application that allows geopaparazzi users to synchronize their projects data with a central server, together with its companion, an Android app named Geopaparazzi Survey Server Sync (GSSS) available on google play to synchronize the data of the Geopaparazzi projects to the server. The presentation will show the main features of Geopaparazzi, the tools available in gvSIG, the Geopaparazzi Survey Server, the Geopaparazzi Survey Server Sync and some examples of customization of the application for different use cases. None about this event: https://talks.2019.foss4g.org/bucharest/talk/NQMFQU/

Identifying the correct location of channel heads remains a challenging aspect in hydrogeomorphic analysis. Though field mapping is a reliable method, this may become infeasible for large basins. High resolution remote sensing data provides another way to predict channel heads. Existing literatures have suggested use of digital elevation models (DEM) to extract channel heads by applying an area or slope-area thresholding method. However, channel initiation process is more complex and depends on other factors like topographic curvature, land use land cover etc. In this study, we have used machine learning models to extract channel heads from freely available 1 arc second SRTM DEM data for a basin in the Lesser Himalaya. We have used upstream area, local slope and local curvature as features in our models. Actual channel heads were digitized manually from high-resolution (1-2 m) IKONOS imagery available on Google Earth. Decision tree model generated the best results with a F1-score of 0.45 and correctly predicted around 78% of the channel heads from the test set along with a high number of false positives. Future work will be applying this method on available high-resolution Lidar-derived DEM, with more field-mapped channel heads. None about this event: https://talks.2019.foss4g.org/bucharest/talk/PHGFLQ/

In this keynote, we’ll explore the explosive growth in quantity of geospatial data, and how this is fueling the need to more frequently join geospatial data with traditional data. We’ll explain how those new scale requirements demand a massive improvement in speed, and how GPUs can be used to accelerate the querying of geospatial data using an open source in-GPU-memory SQL database. Finally, we will demonstrate interactive analysis of the entire, global Open Street Map dataset as an example of what is now possible. None about this event: https://talks.2019.foss4g.org/bucharest/talk/3VAXQW/

OSGeoLive is a self-contained bootable DVD, USB thumb drive or Virtual Machine based on Lubuntu, that allows you to try a wide variety of open source geospatial software without installing anything. It is composed entirely of free software, allowing it to be freely distributed, duplicated and passed around. It provides pre-configured applications for a range of geospatial use cases, including storage, publishing, viewing, analysis and manipulation of data. It also contains sample datasets and documentation. OSGeoLive is an OSGeo project used in several workshops at FOSS4Gs around the world. OSGeoLive 13.0 will be released at the end of July 2019 ready for FOSS4G 2019. Still working on the improvements initiated for OSGeoLive 12.0, it will embedded latest stable version of a vast choice of Open Source Geospatial software. The work on the geodata science with Python and R stacks have also been continued. Documentation is also a big building area and we made a proposal to Google Season of Docs in order to get it even better. We would like to encourage people around the world to help us translate it. This presentation will reflect what we did for OSGeoLive 13.0, what choices have been made, what we plan to do for 14.0 and after. None about this event: https://talks.2019.foss4g.org/bucharest/talk/FR8GFS/

Although always a popular format, with the recent specification of Cloud Optimized GeoTIFFs, the TIFF format has had a renaissance as a cloud enabled storage format. Traditional processing software like GDAL took advantage of that, but is not available for browsers and had to rely on server-side processing instead. The geotiff.js library provides a pure JavaScript implementation of the TIFF format and allows the efficient exploitation of large raster datasets with the full range of values and metadata. In this talk, the architecture and techniques used that makes geotiff.js access so efficient will be explained. Additionally recent additional functionalities and developments by growing community will be highlighted. The COG-explorer is a demo application to show the capabilities of geotiff.js by allowing to browse TIFF files on top of an OpenLayers map. It allows to access large TIFF files on remote sources and can combine multiple files and rendering mechanisms to generate visually impressive images. It provides advanced and efficient rendering techniques using WebGL and takes full advantage of the layout of cloud optimized GeoTIFFs and the capabilities of geotiff.js. None about this event: https://talks.2019.foss4g.org/bucharest/talk/UQVC9Q/

Most popular mapping presentations today, ranging from clients to servers, show and discuss only maps in web mercator, the popular Mercator derived projection used by OSM as well as most commercial tiles providers. There is however an interesting, exciting world of map projections out there, that are still being used in a variety of context. This presentation will introduce the advancement made in GeoTools and GeoServer to handle those use cases, where users have a worldwide data set, and need to view all or part of it in multiple projections, some of which valid in a limited area, and requiring the software to perform a proper display of it on the fly, without any preparation. We’ll discuss GeoTools/GeoServer “advanced projection handling” manages to deal with these cases, wrapping data, dealing with the poles and the dateline, cutting on the fly excess data, densifying on the fly long lines as needed to ensure a smooth reprojection, for a variety of cases, ranging from seemingly innocuous datum shifts, maps having the prime meridian over the pacific, and the various tricks to properly handle stereographic, transverse mercator, Lambert conic and other limited area projections against world wide source data sets. None about this event: https://talks.2019.foss4g.org/bucharest/talk/DHDH7C/