Chaos Computer Club - archive feed

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/

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/

<p>A common question seen on many open source mailing lists is “When will you guys fix my bug? It is critical to my company!” This is often followed by one of the developers replying to say “When you write a fix or pay someone to do it”. This leads to the user complaining to everyone that this “snarkiness” is not a “welcoming” response or how unreasonable it is to expect them to learn to program, or to pay. The discussion often descends into a rambling maze of twisty insults and justifications. When the fuss dies down, all the developers go back to doing what they the were doing (something useful) and the user becomes either a dissatisfied user or an ex-user. This talk by two veteran open source developers will help users see that play out from our the developer point of view. We’ll look at the reasons that drive developers to share their code, the licencing conditions covering it, the real life of developers and associated constraints, and what is actually reasonable to expect from both sides. None</p> about this event: https://talks.2019.foss4g.org/bucharest/talk/D9MXGV/

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

In 2018, Ecometrica Ltd. was tasked with identifying potential deforestation over 7000 sites spread across South America over a one year period. This required the analysis of more than 15 Terabytes of satellite imagery, and was equivalent to processing a total area of approximately 25 million km2 for the entire time sequence. Given the vast area and dense time series data required, we developed an approach that uses freely available data from Sentinel 1 (radar) and the Hansen et. al. Forest/Non-Forest map, and processed the imagery with using an open source stack including data preparation software (SNAP toolbox), Omnibus change detection algorithm, and Python 3.x GIS libraries (GDAL, Fiona and Rasterio etc). None about this event: https://talks.2019.foss4g.org/bucharest/talk/TMEUWB/

OSGeoIE was formed in 2015 and this year we held our 3rd annual conference. In our mission statement we aim to "create a networked community of OSGeo/FOSS4G users, developers, practitioners, teachers, advocates, etc in Ireland". Our talk will discuss experiences since 2015: Developing a shared understanding of community participation in OSGeoIE events, how to be effectively resourced as a local community, attempts to establish a more coordinated approach to communication and learning between partnerships, governmental agencies, industry and other software communities and how participation in OSGeoIE make a difference for volunteers and OSGeo/FOSS4G users and advocates? There is increasing cross discipline/domain interest in QGIS with particular interest in QGIS from local government authorities. We have also worked on building strategic and synergistic links with other similar communities such as OSM IE and Python IE. The academic community are actually under-represented at our events. We are interested in hearing feedback from FOSS4G delegates on their experiences of building an OSGeo community in similar sized countries and regions. We also hope to provide inspiration to anyone thinking about setting up a local chapter. None about this event: https://talks.2019.foss4g.org/bucharest/talk/AFRCHM/

National Forest Inventory is an independent survey on the state and development of forests. It is based on mathematical–statistical models. The inventory is now divided into three cycles, the first cycle was realized in 2001–2004, the second one was implemented in 2011–2015 and the third one has been carried out in 2016–2020 [1]. The second part of National Forest Inventory (NFI2) results have been processed and divided into thematic chapters including Forest Area, Growth, Mortality, Tree Species Representation, Age Structure, Forest Regeneration, Dead Trees, Game Damage, etc. I would like to aim my talk to the visualisation of the results in the form of graphs and maps. The basis for the graphical results are statistically processed data. The data are stored in a PosgreSQL database in the form of views. The views have the same structure including estimation, maximal, minimal value, standard deviation and ratio for the selected thematic chapter. The graph properties are created by the functions using R Project linked to a set of functions in PosgreSQL that make the graph in the form of raster or vector image. The set of functions in a database prepare data for maps. The data are visualized using suggested templated in QGIS. None about this event: https://talks.2019.foss4g.org/bucharest/talk/BQDXMZ/

MySQL 8.0 was a huge step in terms of spatial support -- a step up from flat Cartesian coordinate systems to ellipsoidal geography. In this talk we'll go on a quick tour of the spatial support in MySQL. We'll cover data types, functions, indexes, coordinate reference systems and other core topics. We'll look at both the big design decisions and practical use. What can MySQL do? How does it work? What are the limitations? Join us for answers to these questions and more! None about this event: https://talks.2019.foss4g.org/bucharest/talk/7TF7ZW/

How do you find one pixel in a billion? Cloud Optimized GeoTiffs are a new standard for raster data that support file-level access via the internet. Combined with serverless cloud technologies, raster data can now be queried by client-facing applications without the need for a spatial database or specialist server software. In this talk I present how we used COGs and serverless to build a fast and scalable application to query large raster data using point and polygon geometries. As well as providing an overview of the solution architecture, I’ll explore the challenges we face with large raster data and why we chose to develop the solution using these open source standards and technologies. None about this event: https://talks.2019.foss4g.org/bucharest/talk/SQF7YK/

With PyQGIS you can write scripts and plugins to implement new features and perform automated tasks within QGIS, let's see how we can do that more efficiently thanks to some nifty tricks. Thanks to tricks like using decorators and the qgis.utils module one can improve readability and performance by simplifying a lot of code None about this event: https://talks.2019.foss4g.org/bucharest/talk/QQWQQE/

GeochicasOSM is a community of mainly Spanish-speaking women, from Latin America and Spain, work mapping OpenStreetMap (OSM) and Wikipedia, and related to the geo world and geotechnologies, which work with the goal of closing the gender gap in different communities in which they participate through joint and collaborative projects and initiatives among women. The group was created at the 'SOTM LATAM 2016' Conference in São Paulo (Brazil) and there are currently users in at least 20 countries around 3 continents. The co-founders are Selene, Céline and Miriam, and are based in Mexico and Paraguay. Among its diverse and varied projects, with the common nexus of making women visible, the following can be highlighted: Survey on gender in the OpenStreetMap community; Training spaces; Preparation of maps with different topics with women as focus point; The Violet Streets; Women Mapping the World; The streets of women, which emerged in the framework of International Women Day and it wants to give visibility to gender disparity that exists in the nomenclature of streets while creating collaboration between both communities, GeochicasOSM and Wikipedia, and the show on the roles of women historically and their socio-cultural contributions. None about this event: https://talks.2019.foss4g.org/bucharest/talk/TA7H7D/

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/

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/

An overview of GNOSIS CMSS, a styling language for both classic and 3D cartography. Ecere developed the GNOSIS Cascading Map Style Sheets language in conjunction with the OGC Innovation Program's Tetstbed 13 and 14, and the open specifications for it are available in a public Engineering Report: http://docs.opengeospatial.org/per/18-025.html#StylingModel Key features of GNOSIS CMSS include cascading of styling rules and sheets, any symbolizer value can be a complex expression, and a concise and clear syntax. None about this event: https://talks.2019.foss4g.org/bucharest/talk/YBSWUW/

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/

Putting together a conference is a huge amount of work, but one that can reap ongoing benefits for the community that makes it happen. Creating one from scratch is a scary thing, but this is what we attempted to do for Oceania in 2018. In the spirit of openness, we'd like to share what we as a region learned as well as the next steps. We'll cover the forming of a conference committee, preparing and running a conference, and creating a sustainable entity and momentum once the conference is over. We're also going to shamelessly promote FOSS4g SotM Oceania Wellington, 12-15 November 2019. None about this event: https://talks.2019.foss4g.org/bucharest/talk/MCCYR9/

Natural hazards such as floods are receiving a lot of attention around the world and the vulnerability assessment is a strategy to develop prevention and mitigation plans. But it is important to work under a conceptual framework that considers communities as socio-ecosystems, especially with climate change. In Colombia, floods have always been a serious threat for its population, and many coastal communities could be in risk. To face these hazards, mangrove forests are fundamental elements for the resilience of coastal livelihoods and the entire coastal zones. Then the COASTMAP URABÁ project that is being carried out since 2017 in the Urabá gulf in Colombia and that so far has created free access maps of two coastal communities using the mapping methodology created by the HOT team, has allowed the development of a Flood Vulnerability Index for coastal social-ecosystems (FVIc) that could be used in all the coastal communities of the country. None about this event: https://talks.2019.foss4g.org/bucharest/talk/B7EWW9/

Open Source design has a plethora of hurdles to leap before it could become fully adopted by the global design community. Exploitative ‘work for free attitudes’, workflows and how design functions/roles connect up through a product life cycle, how our software doesn’t yet allow for robust and collaborative versioning across different designers and how the open source community as a whole, is over represented by those with privilege, access and ability. Ushahidi builds humanitarian tools, remotely for some of the most marginalised people across the globe. To tackle these systemic problems with how to ‘open source’ a design effort and bring the community along with the, ‘on-staff’ Ushahidi designers, we’ve been piloting a series of design jams on our crisis communication tool TenFour with our partners Designit and Adobe. Together, we’re looking to solve the problems with how open source design can work by engaging through meaningful technology that makes a difference in the world. We’re here to take you through that journey. None about this event: https://talks.2019.foss4g.org/bucharest/talk/F8WDAG/

The Java Advanced Imaging is a powerful Java image processing engine underlines our popular OSGeo open source projects - including GeoTools, GeoServer, GeoNetwork, GeoNode, and more! This talk explores: * Capabilities that make JAI attractive for GeoSpatial work * How JAI has been used in our community * The JAI-EXT project by GeoSolutions * Secret stuff that may be ready by August One of the reasons our community has been so addicted to this library is its power. It explored concepts like parallel processing, and distributed parallel processing in 1999, well ahead of the curve. It is an excellent example of engineering and software design. Tragically there has been one problem with this ... the JAI library is not open source! The library originated at Sun Microsystem as a core component of the Java Runtime Environment, but was not included as part of OpenJDK collaboration. Importantly we will cover the search for an open source alternative, and the exciting progress made thus far. Come see how this foundational library is being propelled into an open source future by our community. None about this event: https://talks.2019.foss4g.org/bucharest/talk/Q9ZKFX/

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/

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/

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/

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 FOSS4G community is much more than OS Software. The community, while small globally, has had, and continues to have an outsized impact on science using geospatial data. This impact starts with Open Ideas: the community fosters the free-flow exchange of ideas that lead to Open Standards for interoperability, Open Data for democratizing data access, and Open Source Software for the use and analysis of data. Science fields wishing to leverage remote sensing data has historically suffered from several challenges. Archives of remote sensing data can be large, and finding just the desired pieces of data can be time consuming, as every dataset is accessed in different ways. The data then often requires pre-processing and reformatting: reprojection, clipping, assembling time series, or even some more complex operations. Lastly, processing and analyzing these large datasets can take massive computing resources, making large scale studies difficult, if not impossible. The impact of all this on Open Science (the movement to make science more accessible on all levels) is clear - complex custom-made tools required for each dataset does not support making science more accessible. Now, the culmination of several advances in Open Standards, Open Data, and Open Source, along with cloud computing, are helping realize Open Science. And FOSS4G has been here all along, where many of these advances started as Open Ideas. None about this event: https://talks.2019.foss4g.org/bucharest/talk/TMWYYR/

Manual polygon digitization on maps by non-gis people creates possibility to encouter with topology exceptions and user mistakes like holes, slices and so on. We used solution to build blocks grid over Estonia so whole country is covered with various size of blocks based on versatile information like cadasters, roads and addresspoints. Result is massive arrays of relations between blocks identificators and areas. This solution creates one geospatial layer with more than million block identificators which can be used by multiple datalayers. If one block changes then all datalayers where this block were used, are affected. It offers us to discover areas which are not covered or areas which are overlapping each other. In presentation I will talk about why this idea came up, how we created block grid from data we had, how we choosed technology to build whole system and how we succeed in result. Technologies in presentation includes OpenLayers, React, Redux, GeoServer, PostgreSQL, PostGIS, Mapbox Vecor Tile, OGC Standards WFS-T, WMS, SLD and many more. None about this event: https://talks.2019.foss4g.org/bucharest/talk/XRWMPM/

Deltas are the most productive and economically important global ecosystems associated with some of the largest coastal marine fisheries and the majority of global wetlands. They also the most extensive coastal lowlands threatened by climate change and human activities such as agriculture, navigation, fisheries, forestry, fossil energy production and industrial urban development. Under climate- and human-induced sea level rise, sediment trapping behind dams and destruction of natural protective ecosystems, deltas are currently sinking at accelerating rates. Deltas maintenance and reconstruction depends on effective monitoring of vast and intricate areas of channels, lakes, wetlands, beaches, and islands that cannot be effectively accomplished on the ground without prohibitive expense. If ignored, disappearance of deltas will soon have devastating consequences for the livelihood of the half billion people who live in these coastal regions and lead to mass migration. I’ll present ideas & initiatives that seek to monitor deltas remotely and plug spatially-distributed data into models of hydrology, morphology, and ecosystem dynamics using remotely-sensed data from satellite missions that are complemented by ground sensor networks. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ETCXMP/

TEAM Engine is a testing facility enabling developers and users to test geo services, such as WFS or WFS, and geo formats, like GML or GeoPackage. The Open Geospatial Consortium (OGC) provides various test suites for TEAM Engine to support implementing and testing of GIS software basing on OGC standards. TEAM Engine is an OSGeo project in incubation phase. A test suite for new OGC standard WFS 3.0, which is currently a candidate standard (status of April 2019), was developed as part of OGC Testbed 14 initiative. As this standard uses completely different concepts in comparison to, for example, WFS 2.0, several conceptional questions had to be discussed and solved during implementation of test suite. This talk presents how the new OGC standard WFS 3.0 can be validated with TEAM Engine. The process of creating a new test suite as part of OGC Testbed 14 initiative is highlighted. This includes a short introduction of WFS 3.0 standard itself. Further, current developments in TEAM Engine project are presented and an outlook is given. None about this event: https://talks.2019.foss4g.org/bucharest/talk/FK79AX/

The SpatioTemporal Asset Catalog specification is an emerging standard for to cataloging geospatial data from different sources, and a specification for serving that data in an API. This talk will be a detailed overview of STAC illustrating it's usefullness in integration with cloud-based processing workflows. It will cover the core set of metadata fields for STAC Catalogs, Collections, and Items, along with available extensions for describing different types of data (EO, SAR, Point Cloud, etc.). With the basics of STAC in hand, we will then go over the available Open Source tools that are available for working with STAC metadata: validators, compliant APIs, client command line tools and libraries for search, access, and exploitation. Finally we will give an overview of available STAC catalogs for searching and accessing publicly available datasets (e.g., Landsat-8, Sentinel-1/2, NAIP) using these Open Source tools. After this talk you should have a good understanding of the metadata used to describe satellite imagery and be able to use existing open-source tools to immediately search and access this data. None about this event: https://talks.2019.foss4g.org/bucharest/talk/JYM89Y/

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/

Introduce process that the world sea surface wind data(ASCAT, WindSAT, SCATSAT) of 12.5km or 25km resolution was displayed mapbox vector tile specification. The process overview is described as being merged into 12 hours, transformed to a geostationary coordinate system, converted to a mapbox vector tile format using the opensource library, and displayed in OpenLayers. None about this event: https://talks.2019.foss4g.org/bucharest/talk/GLPF3W/

Having been around for two decades, QGIS clearly is an organically grown project. It has primarily been fulfilling the various special needs of its developers. From an outsider's perspective, it is an amazingly rich patchwork of features. However, some are deeply hidden in numerous layers of user interface elements, requiring intense training for getting used to. Others are only accessibly through APIs, requiring not only training but also programming skills. Being confronted with QGIS as professional users on a regular basis, we thought about what would make working with QGIS more attractive. What if QGIS has a pleasant, coherent theme, including not only colors but also icons? What if QGIS had the ability to store workbench configurations? What if QGIS had dedicated interface configurations for specific workflows? What if much more of the API's functionality was accessible through the GUI in a well-organized way? How could QGIS work in a useful manner with ribbons? How could the incredible amount of dialogs be tamed into tabs? We demonstrate (live) a series of user interface experiments - all of which are or will be [available online](https://github.com/qgist) as plugins or patch sets. We seek a conversation with the audience. None about this event: https://talks.2019.foss4g.org/bucharest/talk/L837VN/

ECMWF is an operational centre, producing global numerical weather predictions. ECMWF also operates many services for the EU Copernicus programme . ecCharts is a suite of web based services to visualise and explore ECMWF real-time forecast. The service offers a Web Map Service (WMS) as well as an interactive client application which provides forecast data for meteorological community including Copernicus services. Recent development work involved the replacement of the client application with OpenLayers and implementing a caching system with MapProxy. This posed many challenges due to size and frequent updates of the data, combined with the challenges of offering a fast and smooth user experience. The work also resulted in contributions to open source projects, like OpenLayers, which will benefit the wider user community. This talk presents the benefits of moving to open source community software,the architecture of the updated system and on the challenges and the solutions that are taken when dealing with big and dynamic data sets both at the frontend and at the backend services. None about this event: https://talks.2019.foss4g.org/bucharest/talk/VDZN33/

Open source satellite imagery becomes increasingly important in many areas of research and business. In the case of agriculture, it is being used to assess land use, support subsidies, and to help farmers to manage their land more efficiently. Many of these applications require regular revisits to best catch temporal the variety that defines many land uses. Cloud cover can be a serious issue, often obscuring the majority of images acquired from passive sensors. Filtering an area of interest for cloud free images, can be labour intensive or lead to loss of valuable input data. Here we introduce a Python tool developed using open-source packages that will assess user defined areas of interest against supplied cloud masks for three satellite platforms: ESA’s Sentinel-2 (Level 1C products), NASA’s Landsat-8 (Level 1C and SR products) and the joint CNES and ISA platform Venµs. We present a case study from County Meath, Ireland to assess the number of cloud free Sentinel-2 images identified for fields surveyed in the EU Land Use/Cover Area Frame Survey (LUCAS) and compare it to the number of images that would have been obtained by threshold filtering images. None about this event: https://talks.2019.foss4g.org/bucharest/talk/RQFEJA/

It is widely known that China will soon be the leading player in world economy overtaking the traditional hubs of North America, Europe and South-East Asia. Its economic activities increasingly influence countries beyond its own borders and dominate global economic growth. The analysis of the shifting axis uses global trade data that countries report through the Harmonised Commodity Description and Coding System (HS-Codes). The shift of power towards China is evident when the spatial mean of some 220 globally traded commodities is calculated for which data is available. Other geo-(statistical) indicators further quantify and visualise China’s growing economic power while other economic centres cannot keep up with this pace or even decline in importance. None about this event: https://talks.2019.foss4g.org/bucharest/talk/MRTSMJ/

During the last years, a Borehole Data Management System (BDMS) has been developed by the Federal Office of Topography of Switzerland (Swisstopo). To facilitate the data exchange procedure, a standalone application built with closed source software is used, but this approach starts to feels too hard working by the users and recently an increasing number of partners start asking for a web-based solution. To fulfill this demand, we developed a new Web Application Prototype, sponsored by Swisstopo, using the latest Free and Open Source Technologies. The new application integrates some of the today’s best OSGeo projects and will be available (summer 2019) as a modular open source solution on GitHub and ready to use in a docker container available on Docker Hub. Through two types of authorization, *Explorer* users are able to search the BDMS for specific boreholes, navigate a configurable user friendly map, apply filters, explore the stratigraphy layers of each borehole and export all the data in Shapefiles, CSV or PDF. *Editors* are able to manage in details the informations and publish the results after passing a validation process. None about this event: https://talks.2019.foss4g.org/bucharest/talk/YSET9H/

This talk will provide an analysis of U.S. caselaw regarding self-replicating technologies, such as open source code, and patent exhaustion rights. It will discuss what it currently means to "sell" a "product" sufficiently to invoke patent exhaustion, and how that corresponds to the normal ways in which organizations typically interact with FOSS. None about this event: https://talks.2019.foss4g.org/bucharest/talk/STYGFY/

PostGIS is a spatial extension to PostgreSQL database. This year it gets new major release, 3.0, after seven years of being in 2.x. We'll go deeper in what was changed, and why you will want to bring these changes into your setup as soon as possible. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ARZPPE/

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/

Funded be the European Commission as a H2020 project, openEO aims for a new web service standard to process Earth Observation data cubes. At its core, openEO provides an http application programming interface (API) that defines how users can discover Earth observation data cubes and process them on compliant cloud back-ends. The back-ends run their own API instance, translating the http requests to their environment. The front end API implementation can serve different languages (R, Python, Javascript) on the client side. The openEO project has foreseen that APIs are implemented with an open source license (Apache 2.0). A number of back-ends are already available that are compatible with this suggested openEO standard. For instance, within the Joint Research Centre (JRC) of the European Commission, an API implemented in Python is being developed that can discover and process geospatial data collections available in the JRC Earth Observation Data and Processing Platform (JEODPP). For the back-end, an in-house library is being developed under the European Union Public Licence (EUPL). In this presentation, we will highlight the openEO concepts and focus in particular on the JRC back-end implementation details. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ZDVLRS/

Tokyo Metropolis publishes a lot of data, and holds an application contest using that data every year. The 2017 contest had the challenge of "developing a tool that would allow everyone to find the perfect toilet for them on the go". I applied for the contest on this subject. There is a chat tool named LINE in Asia,many people use it. We can respond to user input programmatically by creating an auto-answer program called Bot and linking it to this chat tool. I thought that I could search for toilets from LINE if I made a search bot. Some Japanese public toilets are barrier-free.Some toilets have a table to replace baby diapers. Some toilets have facilities for people who wear stoma to clean it. The toilet data published by the Tokyo Metropolitan Government contains information on the position of the toilet and the equipment attached to the toilet. The chat tool LINE is often used using a smartphone. If you use a smartphone, you can search public toilet in Tokyo. So I made a prototype to search the toilet using location and facility information as LINE input program. I used FOSS4G to handle location information in creating this program. At this conference, I would like to explain this development. None about this event: https://talks.2019.foss4g.org/bucharest/talk/QKRPMV/

The Copernicus Global Land Service (CGLS) aims to provide yearly-updated land cover maps, including land cover fractions (i.e. the fraction of each land cover class within each pixel). It makes use of FOSS software (Python, R, GDAL) for all data processing steps. Our work in the project focuses on two aspects: land cover fraction mapping at the continental level (Africa) and yearly map updating. For land cover fraction mapping, to select the most appropriate method, a number of machine learning algorithms were run on over 300 covariates: Proba-V image time series (100m, 4 bands), DEM, soil and climate properties. Random Forest performed the best with RMSE=16.6, MAE=9.2, and 68±4% overall accuracy. To generate yearly map updates, we investigated different vegetation indices and break detection methods, as well as their scalability to big data (MODIS time series, 2009-2019). All change detection methods tended to overestimate change. Proba-V Mission Exploitation Platform Spark cluster was used to run chunked jobs in parallel. In the future, CGLS aims to move to Sentinel-1+2 for land cover classification and Landsat 5+7+8 for change detection for higher spatial and spectral resolution, but that makes big data challenges even bigger. None about this event: https://talks.2019.foss4g.org/bucharest/talk/BJURSG/

This is the closing ceremony of FOSS4G2019 Bucharest! None about this event: https://talks.2019.foss4g.org/bucharest/talk/A9PQLB/

Social media have shown significant contribution in disaster reliefs. It could be very valuable source of the on-site information shared by the affected citizens. Particularly, Twitter is currently one of the most popular social media used for the exchange of information connected to the disasters. If this type of source is considered as a real-time crowdsourcing of crisis information, the spatial distribution of geolocated tweets related to an event can represent an early indicator of the severity of impact. This raises a question if rapid mapping teams could use additional information from Twitter before mapping. Would it be possible to estimate the outcome, to understand the affected zones and approximate level of impact? The aim of this paper is to explore the spatial distribution of the Twitter posts related to a disaster and to analyse their potential in providing fast insight regarding the impact. The focus of the analysis was on the tweets related to the hurricane Michael that happened in Florida, in the United States on October 2018. The crisis maps produced by Copernicus Emergency Management service were used as reference data and obtained results were compared with them. Copernicus EMS have produced twenty-five delineation maps over the coast of Florida. Six maps were delivered on the 11th of October and the rest of crisis maps were published on the 12th of October. The focus of this study is to explore the potential of Twitter’s crisis posts in providing information before the delivery of maps. The available message dataset consisted 8169 tweets posted from 10th until 15th October. The tweets published before the delivery of crisis maps that are inside of the crisis maps’ area, in total 30% of the available dataset, were analysed. Weights have been assigned to each tweet, on a base of the date of posting; i.e. newer posts were considered as more relevant. Spatial statistics have been performed with QGIS and GeoDa. For example, the QGIS plugin Hotspot was used to identify where statistically significant spatial clusters were present, more precisely, the zones with significant concentration of relevant posts were corresponding to areas with high impact of the hurricane. Comparisons of the results with the reference data have been performed and discussed, showing the potential value of these data for crisis mapping. None about this event: https://talks.2019.foss4g.org/bucharest/talk/CVUY3C/

The figure of the Earth can be modelled either by a cartesian plane, a sphere or an (oblate) ellipsoid, in decreasing order with respect to the approximation quality. The shortest path between two points on such a surface is called a geodesic. Studying geodesic problems on ellipsoids dates back to Newton. However, the majority of open-source GIS systems today use methods on the cartesian plane. The main advantages of those approaches are simplicity of implementation and performance. On the other hand, those approaches come with a handicap: accuracy. We experimentally study the accuracy-performance trade-offs of various methods for distance computation (as well as similar geodesic problems such as azimuth and area computation). We test projections paired with cartesian computations, spherical-trigonometric computations and a number of ellipsoidal methods such as [Andoyer'65] and [Thomas'70] formulas, [Vincenty'75] iterative method, great elliptic arc's method, and [Karney'15] series approximation. We also show that some methods from the bibliography (e.g. [Tseng'15]) are neither faster nor more accurate compared to the above list of methods and thus become redundant. For our experiments we use the open source libraries Boost Geometry and GeographicLib. Our results are of independent interest since we are not aware of a similar experimental study. More interestingly, they can be used as a reference for practitioners that want to use the most efficient method with respect to some given accuracy. Geodesic computations (such as distance computations) apart from being a fundamental problem in computational geometry and geography/geodesy are also building blocks for many higher level algorithms such as k-nearest neighbour problems, line interpolation, densification of geometries, area and buffer, to name a few. # References * Some experimental results can be found here: https://github.com/vissarion/geometry/wiki/Accuracy-and-performance-of-geographic-algorithms * A related talk (with some graphs on performance and accuracy) can be found here https://fosdem.org/2019/schedule/event/geo_boostgeometry * The source code of most of the algorithms of the study is in Boost Geometry: https://github.com/boostorg/geometry but we contain to our study GeographicLib https://geographiclib.sourceforge.io None about this event: https://talks.2019.foss4g.org/bucharest/talk/TANLXN/

For almost 5 decades, ECMWF, the European Centre for Medium-range Weather Forecast, has been producing numerical weather forecasts and maintained one of the largest archives of meteorological data. Recently the European Commission has entrusted ECMWF with the implementation of the Copernicus Climate Change Service (C3S), and Atmosphere Monitoring Service (CAMS), opening up the access to a huge amount of environmental data. ECMWF has a long experience to decode, manipulate and visualise GRIB and NetCDF data. This talk will present how with the help of community open source tools users can more easily explore these large datasets. But even if users have the right tools and knowledge to manipulate the data, the amount of data to transfer is still a bottleneck. It is why ECMWF embarked in various projects to build and use cloud environments. One of these is the EU-funded Horizon 2020 HiDALGO project, which explores the building of workflows using these tools over various HPC and cloud environments. Open source plays again a vital role to make this happen. First findings of this exciting new work will be presented in this talk. None about this event: https://talks.2019.foss4g.org/bucharest/talk/GKRMUY/

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/

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/

(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 impact of land use and land use change and forestry (LULUCF) on soil organic carbon (SOC) stocks and greenhouse gas (GHG) emissions is important for both national GHG inventory reporting and worldwide strategy to offset GHG emissions. Within the Irish Soil Organic carbon and Land Use Mapping (SOLUM) project, Eurostat’s Land Use/Cover Area frame Survey (LUCAS) of 2015, LUCAS soil survey of 2009, and ancillary national open data were employed in an analytical GIS framework to develop spatially integrated soils and land use dataset specific for Ireland. In order to capture dominant Irish land uses that are not included in the EU wide LUCAS survey, the LUCAS dataset was reclassified to grassland intensification and management for IPCC reporting purposes using a formal, semi-automated, interpretation key approach. All types of land use were ascribed to a soil label using the open source Soil Information System (SIS) for Ireland and other ancillary geospatial data, thus generating LUSII, Land Use and Soil Inventory for Ireland. Thus LUSII builds on an existing EU wide Open Data set with local knowledge and GIS analysis to create a new more applicable national dataset. None about this event: https://talks.2019.foss4g.org/bucharest/talk/9A3ZZF/