Chaos Computer Club - archive feed

Roads are essential in our day to day activities. In developing countries especially in Africa, the road sub-sector accounts for over 80% of the total passenger traffic and 76% of freight leaving a small proportion to water, rail and air transport. For this reason, they need to be in their best condition to increase the productivity of the region. The maintenance of the road network in Kenya is handled by five different agencies all coordinated by the government. Ideally, the process involved requires the collection of data for selection and prioritization purposes but this is rarely done due to the associated costs. This research aims at providing decision support based on real-time data from different sources including Twitter reports in addition to the data received from the different mandated agencies ensuring a data-driven decision making process. This will further offer comprehensive condition-based decision support that goes beyond the time-based nature of the current process. None about this event: https://talks.2019.foss4g.org/bucharest/talk/9SFEBD/

Check where and how vectors OpenData as OpenStreetMap, are accurate enough compared to an aerial or satellite Imagery, with Deep Learning approach. And do it at scale, with RoboSat.pink as a Semantic Segmentation toolbox. Quality Analysis and Change Detection with low resolution imagery, and Feature Extraction on higher ones. None about this event: https://talks.2019.foss4g.org/bucharest/talk/XCGKFC/

We have a well developed and respect for procurement of software and services. How does open source effect what you are shopping for? This talk introduced some of the procurement advantages, trade offs, and options to consider when introducing open source into your organization. A key theme is the additional purchasing power open source offers, additional transparency afforded, along with the responsibility and benefits available through greater control. This talk looks at what makes the perfect hotdog, including several popular options and the authors regional favourite. None about this event: https://talks.2019.foss4g.org/bucharest/talk/GYWHRH/

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/

vts-mapproxy is an open-source, C++ based, high-performance 3D geospatial data streaming server. Features include dynamic TIN generation from GDAL-supported DEMs, CesiumJS terrain provisioning, WMTS tiles with on-the-fly CS conversion etc. Though Mapproxy has been developed as part of vts-geospatial, it may be deployed on its own or even in hybrid operational architectures. In this talk, we are going to walk you through the common deployment scenarios, provide a hands-on demonstration of server configuration, and bring you up to speed with this little-known tool. None about this event: https://talks.2019.foss4g.org/bucharest/talk/DTXH7Y/

Community mapping efforts in Dar Es Salaam are enabling local leaders to leverage information about the most granular level of community administration that exists in Tanzania. Originally intended to demarcate 10 households (ten-cell boundaries), these "shina" boundaries now encompass hundreds of households in informal settlements and are already being used by one of Dar's largest hospitals to track patients' origins at an unprecedented resolution. None about this event: https://talks.2019.foss4g.org/bucharest/talk/NHW3BM/

pycsw is an OGC CSW server implementation written in Python and is an official OSGeo Project. pycsw implements clause 10 (HTTP protocol binding - Catalogue Services for the Web, CSW) of the OpenGIS Catalogue Service Implementation Specification, version 3.0.0 and 2.0.2. pycsw allows for the publishing and discovery of geospatial metadata, providing a standards-based metadata and catalogue component of spatial data infrastructures. The project is certified OGC Compliant, and is an OGC Reference Implementation. The project currently powers numerous high profile activities such as US data.gov/geoplatform.gov, IOOS, NGDS, NOAA, US Department of State, US Department of Interior, geodata.gov.gr and WOUDC. This session starts with a status report of the pycsw project, followed by an open question/answer session to give a chance to users to interact with members of the pycsw project team. This session will cover how the project PSC operates, what is the current project roadmap, what are the main features of current stable release (2.x) as well as the future direction of the project towards pycsw 3.x that will implement search engine support as well as OGC CSW 4 in support of the emerging OGC API efforts. None about this event: https://talks.2019.foss4g.org/bucharest/talk/NHLBUD/

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/

ZOO-Project is a WPS (Web Processing Service) platform which is implemented as an Open Source project and following the OGC standards, it was released under an MIT/X-11 style license and is currently in incubation at OSGeo. It provides a WPS compliant developer-friendly framework to easily create and chain WPS Web services. This presentation gives a brief overview of the platform and summarizes new capabilities and enhancement available in the new version. A brief summary of the Open Source project history with its direct link with FOSS4G will be presented. The new release comes up with a brand new R and HPC support, updated SAGA-GIS support and more other new features. The new functionalities and concepts available in the latest release will be presented and described, also highlight their interests for applications developers and users. Apart from that, various use of OSGeo software, such as GDAL, GEOS, PostGIS, pgRouting, GRASS, OTB, SAGA-GIS, as WPS services through the ZOO-Project will be presented. Then, the ongoing developments and future innovations will be explored. None about this event: https://talks.2019.foss4g.org/bucharest/talk/NFT3JC/

From the data activism in Mexico (OpenStreetMap, Geochicas, and individual), I sought to make the civil and public actors aware of the use of data, the analysis, the research of rich and varied data, the integration of data from the citizens, in particular with a Gender perspective. In Mexico, where gender-based violence is a serious obstacle in women daily life and development, and where data is poor in general to show social issues and improve policies, it's a real challenge for civil society and academics to lobby policies making through data. None about this event: https://talks.2019.foss4g.org/bucharest/talk/QZUDRR/

In the Sahel, the survival of pastoral and transhumant communities depends directly on the access to water and pasture for their livestock. The availability of these resources is mostly influenced by the erratic rainfall conditions that characterize the Sahelian climate. To reduce the vulnerability to critical events, pastoral communities need access to reliable information on pasture, water, climate, animals’ concentration and disease outbreaks. As they live and move in areas with poor to no internet connection, Action Against Hunger (ACF) developed a system where data is collected from herders using a Telerivet SMS gateway and stored in a cloud environment. An automated script then geocodes the responses and creates a shapefile for each survey, ready to be plugged into QGIS for analysis. Currently 109 focal point nomadic herdsmen are spread over 4 Sahelian countries (Mali, Burkina Faso, Senegal and Niger) to collect and inform more than 18 core indicators on the pastoral situation. Cartographic data is then published on a public and open source web platform and transmitted to herders through radio broadcasts. None about this event: https://talks.2019.foss4g.org/bucharest/talk/NGUFND/

Automatic large-scale mapping of land cover classes facilitates applications in sustainable development, agriculture, and urban planning, and is therefore a commonly studied topic in remote sensing image processing, but typical deep learning approaches use models pre-trained on everyday image datasets like ImageNet and retrain them using only three channels (usually RGB), not fully leveraging the unique properties and spectral information of multispectral satellite images. The latest approach in our series of approaches, powered by new open satellite imagery datasets like BigEarthNet and machine learning libraries like fast.ai and eo-learn, explores the effect of pre-training convolutional neural networks on multispectral satellite imagery for country-scale land cover predictions on data for all of Slovenia in 2017. None about this event: https://talks.2019.foss4g.org/bucharest/talk/JKFCAF/

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/

All of you are OpenSource software users. While you know how the software runs, you may not know what is behind the mirror. Nowadays, most OpenSource software are written by employees of companies. There are plenty of organizational models for these companies. In this presentation we drop the mask and talk about the principles driving our own organization. As a matter of fact, we try as a company to have a strong coherency between what we do - OpenSource software - and how we do it. Transparency and asynchronicity for example are among the principles laying the basis for our day-to-day work. We are part of the Opensource community at large, and we have a very similar organization. During this talk, we explain the way we work, our motivations and and how a distributed team made of individuals joins forces to produce OpenSource software and try to have a positive impact on its environment. None about this event: https://talks.2019.foss4g.org/bucharest/talk/KSUVQL/

Mapbender is a content management system for geospatial data services and map applications. With Mapbender you can create applications without writing a single line of code. Mapbender is a flexible client for OGC services. Mapbender is based on Symfony, JQuery and OpenLayers. Mapbender is based on the frameworks Symfony, JQuery and OpenLayers. Mapbender has an administration web interface to do all the work or if you prefer YAML you can configure applications via YAML-file. Mapbender helps you to set up a repository for your OWS Services and to create individual applications for different user needs. An application can provide search modules, digitizer functionality, print & more. You have access control and can provide applications for defined users and groups. This presentation will give an introduction on Mapbender and the possibilities. None about this event: https://talks.2019.foss4g.org/bucharest/talk/WZXZNQ/

Accessibility to primary health care (PHC) in developing countries is crucial and remains a challenge with conflicting statistics in Malawi. For instance, the Health Sector Strategic Plan II, 2017-2022 reports accessibility at 90 % while the Demographic Health Survey puts it at 56 %. The discrepancies emanate from multiple factors among which is failure to incorporate critical geographic cost factors like elevation, road networks, road conditions, etc. in the estimation models. This study, therefore, seeks to develop a PHC accessibility estimation model that incorporates cost spatial factors of elevation and road network distances using open source software and geospatial routing techniques.The accessibility analysis was evaluated using 2 step floating catchment area (2SFCA) model implemented using PostgreSQL/PostGIS and based on the pgr_dijkstraCost algorithm. The model score was expressed in terms of time of travel assuming walking as the mode of travel with a 1-hour threshold indicating acceptable accessibility. To improve accuracy, the road network data was exploded to 20 m node distances. 2SFCA creates two catchment areas called floats in each step.The first step determines the population falling within a specified cost threshold and the facility population ratio. In the second, for each household, the model determines services available within the specified cost threshold at facilities and adds it to the facility population ratio to derive an accessibility score. The 2SFCA score starts from 0 growing boundlessly with 0 indicating households not within the 1-hour threshold. Higher scores indicate access within 1-hour and to multiple facilities or multiple services within an hour or facility respectively.The 2SFCA model result scores ranged from 0 to 0.19, with 100 and 58 % of urban and rural households within 1-hour of a facility (2SFCA > 0) respectively and a district average of 62 %. 70 % of the urban households have access to multiple health facilities (2SFCA > 0.01) as opposed to only 16 % of the rural households. As such the findings provide, arguably, spatially objective PHC accessibility data to inform policy direction and also reveals accessibility to PHC in Malawi to be lower than reported. Besides the evaluation of PHC accessibility, the application of FOSS tools in this study, strengthens the case of their relevance in low resource contexts where computation power and electricity can be intermittent, making it difficult to run models that span multiple days. Using PostgreSQL/PostGIS for relational spatial analysis modeling made it possible to resume modelling after power outages. Thus, the study has successfully demonstrated utility of relational spatial analysis using open source technologies in low resource settings of the developing world. With improved computational capabilities such models can be used for national benchmarking of accessibility and hence provide concrete data on the provision of PHC and other applications None about this event: https://talks.2019.foss4g.org/bucharest/talk/CWT3DA/

After initial deployment of Croatian SGA Geoportal, it made a great impact on the usage of GIS viewer and OGC web services in the country. After a few thoushands registered users, it's time to analyze who is using it and how much. Also, there was a need for the administrators to be able to have reported on usage, and to deal with users and groups authorization roles. We achieved this with the combination of proven solutions such as GeoServer, Geofence and custom code. None about this event: https://talks.2019.foss4g.org/bucharest/talk/PTFHWJ/

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/

Training spatio-temporal OSM-indicators based on the resilience core from Cutter (2016) and exploring the implications for urban planning in the light of revealed thematic tags in the region of Stuttgart. “Nobody on this planet is going to be untouched by the impacts of climate change” Rayendra Pachauri (2014) The overarching nature of building resilience across disciplines and its inherent positive mutual understanding due to the association with the immune system, also amongst the non-scientific community, makes it an attractive and increasing popular concept which everybody seems able to grasp its necessity. Hence there is an exponential increase, even limited down to the key words “urban resilience”, in scientific literature over the last decade. Moreover the concept is also taken up by the New Urban Agenda – Habitat III, the SDG goals and also the IPCC. Hand in hand with this development the definitions and operationalizations are innumerable and starting to lay a smoke screen above it. Conjoined, there is a clear lack of validation of resilience measures, including spatio-temporal aspects but also of the single component of it (Bakkensen 2017). Moreover, traditional data sources like census or governmental data miss out on certain important facets making empirical validation impossible and lack the spatio-temporal resolution necessary to cover the characteristics of resilience (Burton 2014). Hence, this experimental study explores and develops new spatial indicators through machine learning methods derived from OpenStreetMap data to replicate conventional core indicators. In order to cover all spatial attributes indicators for points, lines and areas will be deduced and separately as well as in a combined analysis investigated by means of supervised and unsupervised algorithms. The outcome is expected to uncover hidden spatial relations and patterns of urban resilience. Moreover, Burton (2014) stresses the need for new data sources to better understand the multifaceted phenomena of urban resilience. Therefore this study is contributing in developing robust and reliable socio-economic indicators contributing to this challenge to clear up the smoke. None about this event: https://talks.2019.foss4g.org/bucharest/talk/DE77KF/

Having worked with geospatial technology in the insurance industry since 2003 I had my eyes opened to open source at FOSS4G 2013 in Nottingham. I came away excited and energised by what I had seen and it planted the idea for how we could do things differently. 2 years later I quit my day job as a contract solutions architect and took a big pay cut to create Addresscloud, our aim to tackle the complex geocoding challenges faced by UK/I insurers. 3 years on we have gone from strength to strength and are now a profitable, rapidly growing business with a portfolio of customers from startups to FTSE 100 companies. In this talk I will discuss our journey, challenges along the way and our lessons learned. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ZLVQDG/

EnviDat is the institutional data portal and publication data repository of the Swiss Federal Research Institute WSL. EnviDat actively implements the FAIR (Findability, Accessibility, Interoperability and Reusability) principles and provides a range of services in the area of research data management that were extensively described in [Iosifescu et al. (2018a)](https://doi.org/10.5334/dsj-2018-028). We continuously improve various aspects of open science support in EnviDat, including implementation of Jupyter Notebooks as documented in [Iosifescu et al. (2018b)](https://doi.org/10.7287/peerj.preprints.27211), thus improving the current situation defined by a “replication crisis”. In [Iosifescu et al. (2015)](http://hdl.handle.net/2263/49954) we have presented several reasons for the increasing adoption of FOSS4G (free and open source software for geoinformatics) in academic research: not only the total cost of ownership, but also the growing stability and maturity of the recent open source software packages, the faster bug-fixing turnover, the increasing availability of professional support, and the flexibility to change and repurpose the open software to tackle new research challenges, among others. These reasons are still valid today, and consequently EnviDat trusts PostgreSQL/PostGIS and Apache Solr with the management of its spatial meta(data). In this contribution, we discuss two novel drivers for the adoption of FOSS(4G) in environmental research: open science and reproducibility. Independent research replication at peer-review is facilitated by the immediate availability of the free and open source software, the absence of software licensing issues and the openness of the code even for older versions of a software. Moreover, researchers producing their own FOSS code can expect a wider distribution of the produced software. In EnviDat, open science support is supported by the combined publication of bundles of datasets and software as for example [Fraefel (2018)](https://doi.org/10.16904/envidat.49) or purely FOSS4G software as for example [Bont (2018)]( https://doi.org/10.16904/envidat.software.1). While Fraefel shows how scientists can complement data publication with additional analysis workflows, the work of Bont demonstrates the opening of a methodology for optimizing the geometric layout cable roads and makes it available for everyone as a plugin for QGIS. In conclusion, supporting reproducibility of research in a portal such as EnviDat is a complex issue that can be simplified by the adoption of FOSS(4G). We would like to stress that reproducibility in science also consists of the transparency of methods and the precise documentation of all steps needed to achieve the published results. In these processes, open source software can play a key role. None about this event: https://talks.2019.foss4g.org/bucharest/talk/ZV8QNK/

The large number of sponsors, many of them very large companies, found at FOSS4G events indicates that there are significant commercial interests and opportunities associated with free and open source software (FOSS) technologies. This talk will describe several recurring patterns and business models for “monetizing” open source technologies, while also - and crucially - contributing back to FOSS communities. The talk will elaborate on the following three main models: 1. Providing value added services and support to open source projects 2. Leveraging/incorporating open source technologies to deliver products/SaaS 3. Open sourcing your commercial technology The talk will also provide real world examples of each of these models from the perspective of a commercial business that is actively engaged in a variety of FOSS activities. The talk will also examine some new and emerging trends including open data being incorporated into commercial platforms. None about this event: https://talks.2019.foss4g.org/bucharest/talk/X8X3EH/

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. This presentation gives an insight into the development of xyz software (PyCSW?) and the implementation of the abc standard (CSW?) into the software. How does the standards development work in the OGC? What are the perceived benefits of participating in the Standards Program and why does it matter for open source software developers to contribute to the standards development. None about this event: https://talks.2019.foss4g.org/bucharest/talk/3MKSF3/

QWC2 is a responsive web mapping client optimized for publishing maps with QGIS Server. A modular architecute based on micro services (running as Docker containers or WSGI modules) allows scaling from basic setups up to highly customized service environments. None about this event: https://talks.2019.foss4g.org/bucharest/talk/NBMQLT/

BruGIS® is a cartographic tool developed by a public interest organization (Urban.brussels) and used for the management and planning of the territory in the Brussels Capital Region. BruGIS Data Management is a QGIS client to update spatial data published on the BruGIS platform. Implemented with Open Source technologies (QGIS, GeoServer, Django, Python, etc.) it provides a centralized, uniform and exclusive way to edit spatial data online. After a short overview of the architecture, we’ll focus on the demo of QGIS client using 2 plugins (admin and user). We’ll be able to create a new user and assign him editing rights on a layer. Then edit the layer allowed, modify, validate (topological) and finally submit it. Lastly, we’ll publish the modified and validated layer. The path of the modified table will be followed through the DB environment of BruGIS. The organization of data synchronization through the three environments (production, staging, diffusion) will be briefly addressed. The purpose of this demonstration is not to go into the technical details of the production flow but rather to exemplify the use of Open Source technologies within the framework of the daily management of the urban data in a public administration. None about this event: https://talks.2019.foss4g.org/bucharest/talk/T7QHTA/

With the increase of sensor capabilities and popularity of unmanned aircraft systems (UAS) there has been an increase in the detail and types of digital elevation models (DEMs) that can be produced. With these improved products and their 3D characteristics, more can be derived from their analysis including the detection and location of important changes over time. The analysis between two temporally different DEMs, digital terrain models (DTMs) or digital simulations models (DSMs) can indicate important factors such as erosion, structural damage, or deforestation. The talk will discuss a project that focuses on the suitability of creating a plugin for QGIS to automate the process of performing 3D change detection with these data types. It is expected that the need for an intuitive and automated process for this type of analysis will only increase with the feasibility of DEM generation and collection with new software and UAS popularity. None about this event: https://talks.2019.foss4g.org/bucharest/talk/3WTHJE/

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<p>How can interactive maps help people plan great travel experiences? Destination travel is a popular way to experience the world for millions of people. Until now, little research has been conducted to establish what this type of user might actually need in a map-centric application. Most current approaches do not emphasize the role of space and place in travel preparation to help users understand the spatial dimensions of their travel plans. In addition, most of the available trip planning systems are proprietary in nature. Our work seeks to develop an application that goes beyond providing support for simple itinerary creation. We present results from a user survey to assess key spatially-supported travel task needs and design preferences. This data helps characterize the core functional needs for a FOSS web-GIS application and accompanying user interface designed specifically for destination travelers. None</p> about this event: https://talks.2019.foss4g.org/bucharest/talk/RHRGJE/

Spatio-temporal datasets like sensor-data or floating car data can be rather overwhelming because they quickly get in the order of billions of records. In this talk I show how we made billions of floating car data entries into a workable datastream that outputs visually attractive and useful maps and graphs over a routable network. I will start by summarizing the relatively new OS clickhouse database and how this column store helps in dealing with massive temporal datasets. Next I explain how we set up the pipeline with postgres/gis, pgrouting and R in order to create analysis in seconds and share some interesting results that you can get from these large trafficdatasets. The talk will be relatively code-focused (mainly SQL and R) but also show some ind-depth analyses of car data. None about this event: https://talks.2019.foss4g.org/bucharest/talk/9TE3FC/

For the last four years, the Transitional Justice Working Group's mapping project has interviewed North Korean escapees living in South Korea in an effort to determine where the victims of the regime have been killed and buried. This talk will present the mapping system we've developed, the challenges we've faced building it, and how many of these challenges have been partially or fully addressed using free and open source software and data (FOSSD). Our first two mapping reports and a few data sets of sites suspected of containing documents can be found at https://en.tjwg.org/mapping-project-north-korea/. None about this event: https://talks.2019.foss4g.org/bucharest/talk/K7ZTHW/

Object detection and image segmentation have always been a big task in the field of geospatial sciences. With the growth of open satellite and aerial images, focus on this field is getting bigger and bigger. In the general computer vision field, there is one big term shaking the field in the last years - artificial neural networks. Artificial neural networks and especially their subtype called convolutional neural networks brought into the field of computer vision precisions which were just a few years ago still considered as not imaginable. We had decided to connect those two fields and test the use of artificial neural networks on satellite and aerial images. A suite of modules using convolutional neural networks was implemented into GRASS GIS. None about this event: https://talks.2019.foss4g.org/bucharest/talk/8TET9M/

The present talk has the objective of describing the best practices for Metadata catalog setups, developed for the National Spatial Infrastructure of Argentina. Bringing together the notions needed to implement the 19115 ISO Standard, thinking about the processes of the geographic information in each organization but also how to do it using free and open source software. None about this event: https://talks.2019.foss4g.org/bucharest/talk/MFQMWW/

[Oskari](http://oskari.org) ([GitHub](https://github.com/oskariorg)) is a open source product for creating geoportals built on top of distributed spatial data infrastructure (like INSPIRE) and is currently incubating for becoming an OSGeo project. This talk is a year in review of what has happened on the technical side of the project and our experiences so far including these highlights: - Migrating from jQuery to React and Grunt to Webpack - Mapbox vector tile support - WFS 3.0 support - Thematic maps with time series None about this event: https://talks.2019.foss4g.org/bucharest/talk/QYFKQG/

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 extent 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. OGC's Innovation Program (IP) provides a unique way to address real world scenarios and interoperability requirements. Via practical Technology Integration Experiments (TIEs) using demonstration implementations and deployments it helps to identify the necessary enhancements, gaps, and new developments in both, standards and software. This presentation gives an insight on how an OGC and OSGeo member can benefit from the active contribution in both organizations and how the IP Program can help with their projects. None about this event: https://talks.2019.foss4g.org/bucharest/talk/WT8HLL/

Using Open Street Mapping to map Incidence of Malaria among Vulnerable People of Luano District, central Zambia This is a Research project for the YouthMappers. This study investigates the incidence of malaria among the vulnerable people living in a remote area of Zambia. Since the area is prone to flooding, the incidence of malaria is very high. The study will use ODK a mobile based data application to collect data and QGIS to analyze the data. The study is important because the data that will be collected will be useful to the Ministry of Health and other organizations that have interest in community health and human security. The all research project is based on the open street map. This Research has 3 focusing objectives as follows’ (a) Map the incidence of malaria in Luano district using Open Street Mapping techniques. (b) Determining the burden of malaria epidemics in the area. (c) Determine the impact of the incidence of malaria on the socio-economic wellbeing of the people in the area. None about this event: https://talks.2019.foss4g.org/bucharest/talk/DQP7QK/

Open geospatial is an amazing journey. Join GeoCat in a look at what makes this community great, and the new opportunities for open source to thrive. We also have an important project announcement to share. None about this event: https://talks.2019.foss4g.org/bucharest/talk/RGUPRH/

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

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

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

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

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

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

This talk introduces the integration and possibilities of Python within and around QGIS in its latest version. Being an introductory talk it is not aimed at developers but much more at [future] QGIS users that would like to know what possibility exists for customizing your workflows thanks to PyQGIS. The presentation will brush the following topics: * Integration of Python in the latest version of QGIS * what can be done with Python in QGIS - chances and limits * Python console and scripts in QGIS * Plugins with Python * Macros with Python * Python in forms * Custom python expressions * Geoprocessing with Python within QGIS None about this event: https://talks.2019.foss4g.org/bucharest/talk/WTRBY8/

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

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

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

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

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

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