Chaos Computer Club - archive feed

This is the FOSS4G 2019 awards ceremony: Eo Data Challenge award, Sol Katz award, developer award None about this event: https://talks.2019.foss4g.org/bucharest/talk/QFEMGG/

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

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/

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

(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 role of urban designers is to shape the physical features of a city with the goal of making the city functional and pleasant to live in. For this, the urban designer has to gather information about the current situation, design improvements, and communicate these to stakeholders. The use of space and the spatial relationships between physical features play a significant role in urban design, therefore much of the information that is collected and manipulated is georeferenced. In this paper we review and evaluate open source geospatial technologies that can be used for the collection, storage, manipulation and visualization of geospatial data in urban design projects. Based on this, an open geospatial toolbox for urban design projects is presented. We followed a scenario-based approach for collecting the requirements. Three researchers were asked to explain how they collect and use data for their urban design projects. Their backgrounds were in spatial planning and architecture. The first scenario involves an urban designer who is requested to guide and advise the local municipality on improvements in a neighborhood that has become dilapidated over time, and therefore unsafe. In the second scenario, the aim was to identify crime hotspots in a neighborhood and to propose preventative crime measures through environmental design. By analyzing the scenarios, we determined both functional and non-functional requirements, and categorized them into requirements related to data collection, data storage and management, and data visualisation respectively. A set of open source geospatial technologies were evaluated against these requirements. Tools were evaluated against requirements relevant to a category, e.g. for data storage and management, the user should be able to upload geospatial data, upload newer versions of the data, create and edit metadata about the data, and share the data in various formats using web services. Furthermore, the evaluation results show how tools meet individual requirements, i.e. tools that meet only one of several requirements were not excluded. The resulting open geospatial toolbox is modular, allowing urban designers to swap out a tool in a category for another one in that category, or swap out a tool that meets one requirement for another tool that meets that requirement. Each of the evaluated tools fulfilled the functional requirements to some degree; the real difference emerged from the non-functional requirements, such as perceived usability for novice users and documentation or support available. The results in this paper are based on requirements of urban designers, but are equally applicable for others who collect data at the neighbourhood level. Future work will focus on aspects of provenance for preserving and making data collected for urban design studies available for longitudinal studies. None about this event: https://talks.2019.foss4g.org/bucharest/talk/BXLBUU/

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/

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/

During this 90 minutes slot, the results obtained by the teams at EO Data Challenge will shortly present their results. The following talks will be presented: Visualization and Analysis of Big Multidimensional Geospatial Data on the Web (Candan Eylül Kilsedar), STAC for the decentralized Web (Volker Mische), WebGL for in-browser GeoTIFF processing (Iván Sánchez Ortega), Citizen science in support of landslide detection and monitoring (Vasil Yordanov), EO Data Challenge results (Bang Pham Huu) EO Data Challenge results (Ivian Adrian Albu), LeafS - LEveraging Artificial Intelligence for Forest Sustainability (Teodora Selea). None about this event: https://talks.2019.foss4g.org/bucharest/talk/K7ADDK/

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

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

Curricula in geography and GIS can be transformed by integrating open source GIS with critical human geography. This integration requires students to develop strong skills in assessing error and uncertainty and in questioning the powerful social implications of spatial information technologies, and requires faculty and students to develop new open curricula, features and algorithms to facilitate teaching introductory spatial analysis. Building on three semesters of experimentation with an advanced-level integrated open and critical GIS course, I have transformed a large introductory proprietary GIS course into a critical human geography course with open-source QGIS.<br> Throughout the curricula, open GIS techniques are mapped to critical human geography concepts. Novice GIS students learn fundamental techniques while also learning to question the political economics, social and cultural forces, and instrumental logics that shape GIS data, software algorithms, visualizations, and social impacts. For example, students' first exercise is to practice radical cartography of disabled mobilities. On one hand, they learn fundamental techniques of the vector data model, planning a data collection schema, using a Leaflet application exposing the global positioning system location services on their phones, querying OpenStreetMap data, and creating a QGIS map visualization and print layout of wheelchair users' accessibility on campus. On the other hand, they confront and appreciate social power in construction of the built environment and campus maps, socially differentiated mobility in physical and cognitive space, and potential for GIS to challenge the status quo. <br> What are the substantive differences between teaching GIS and teaching human geography with GIS, or between teaching open and proprietary GIS? Teaching human geography places critical questions about the society and society's interaction with spatial technology first, while the spatial technology itself is not black-boxed, infallible, or determinant. Taken together, students first ask how GIS can be used for critical inquiry and when GIS fails or delivers unsatisfactory results, they ask how open GIS can be altered to produce better answers. The fallibility of open GIS requires a pedagogical focus on assessing error and uncertainty: students must learn to confidently assess the integrity of each algorithms' results. The accessibility and malleability of open GIS enables students and faculty to change GIS as we use it, and open GIS can benefit from cohorts of novice students critically engaging with the technology. New forms of GIS users and applications emerge as students diffuse open GIS technology through other university courses and internships with grassroots and non-governmental organizations. New forms of open GIS software emerge as students help create more user-friendly open GIS for novices and repurpose open GIS for critical inquiry. None about this event: https://talks.2019.foss4g.org/bucharest/talk/EZVUUY/

PULSE (Participatory Urban Living for Sustainable Environment) is an EU-financed project that aims to develop a set of models and technologies to predict and manage public health problems in cities and promote health. It follows a participatory approach where citizen provide data through personal devices, that are integrated with information from heterogeneous sources: open city data, health systems, urban sensors and satellites. The project deals with various issues concerning air quality, lifestyle and personal behavior and it aims to investigate the correlations between the exposure to atmospheric pollutants, the citizen habits and the health of the citizen themselves, focusing on Asthma and T2 diabetes.PULSE is being implemented in 5 major cities. The presentation will concentrate on the key geospatial aspects of the platform, implemented using FOSS, highlighting issues and challenges. It will describe the most relevant components, such as satellite data processing, deployment of sensors, management of acquired spatial data, WebGIS and Dashboard tools to provide spatiotemporal visualization and analysis, the integration of models, the definition of relevant index to connect epidemiologic data with spatiotemporal representation None about this event: https://talks.2019.foss4g.org/bucharest/talk/J3QSS7/

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/

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/

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/

Telling the story of Ms Maya Mielina, a retired GIS analyst and passionate beekeeper, we will show you features that you might not even have imagined existed in QGIS and that will allow you to dramatically increase your efficiency. None about this event: https://talks.2019.foss4g.org/bucharest/talk/QE77K7/

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/

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/

SHOGun is an Open Source WebGIS framework, that is widely used in private companies, public administrations and also research projects. SHOGun combines user-, data- and application management through a webfrontend, like many others do. Learning new workflows and familiarizing yourself with new application environments is a big challenge for many users. Therefore, possibilities should be created to make the changeover easier for users and to link new technologies with existing ones. In order to bring desktop GIS and webbased GIS systems cloer together, we developped the QGIS plug-in "SHOGun Editor". The talk will show how SHOGun-based WebGIS applications and GeoServer served layers can be administered in QGIS with regard to adding and styling layers and applications. The plugin uses both, the SHOGun and the GeoServer REST API. Using the SHOGun editor, the most central entities layers and applications can be administered almost completely. This includes the creation of new projects/applications as well as the addition and styling of layers. SHOGun-Editor provides the extensive editing options of QGIS also for web applications with a modern, stable and secured backend and helps to setup a pure Open Source based Geodata-I None about this event: https://talks.2019.foss4g.org/bucharest/talk/ZL3PGE/

You keep using that word. I don't think it means what you think it means. None about this event: https://talks.2019.foss4g.org/bucharest/talk/V7CMRA/

Complex alphanumeric information originating from heterogeneous sources (e.g. administrative procedures, cadastre/registry, environmental measures…) are relevant both as search keys of elements on maps and as essential knowledge layers. Regione Piemonte project addresses the need of integrating geo-alphanumeric search and view capabilities in a single tool. Beside standard geoportal functionalities, the tool supports users to: search datasets available in one or more SDI (CSW), enabling functions customized on each dataset served in WFS 2.0 Complex-Feature, such as: Query builder (alphanumeric/spatial); Result list (report and selection on map) → download (csv, shp); Detail form → download (pdf). SIRA is completely OS: PostGIS; GeoServer with App-schema; HALE; Mapstore 2 (Web Client). The framework has been applied in the environmental field, to improve the dissemination of data on pressures and vulnerable targets collected by SIRA (Piedmont Region Environmental Information System) and recently reused also in Croatia, with the main objective to transmit knowledge on prevention and control of industrial accidents, Twinning project HR 14 IB EN 02, creating the BIFISIC tool (Better Information For Industrial Safety In Croatia). None about this event: https://talks.2019.foss4g.org/bucharest/talk/FNV7VL/

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 availability of the growing volume of environmental data from the Sentinel satellites represents a unique opportunity for the operational usage of Earth Observation (EO) for wetland inventorying, assessment and monitoring on global scale. However, it also poses major challenges in terms of data access and exploitation to achieve its full potential. GlobWetland Africa (GWA) Toolbox is an outcome of an initiative of the European Space Agency launched to facilitate the exploitation of satellite observations for the conservation, wise-use and effective management of wetlands in Africa. It is a fully free and open-source software toolbox that seamlessly combines algorithms from a number of EO and GIS tools like SNAP, QGIS, OrfeoToolbox, GRASS GIS, TauDEM together with customised Python and R scripts (e.g. for hydrological modelling) into one GUI based on QGIS. This is achieved by relying heavily on the QGIS Processing Toolbox. The algorithms are then combined into workflows, which guide less experienced users through step-by-step process of EO data analysis for wetland delineation, wetland habitat mapping, monitoring of inundation regimes and water quality as well as for mangrove mapping and river basin hydrology assessments. None about this event: https://talks.2019.foss4g.org/bucharest/talk/LSUCTK/

The new Forest Inventory ESTimation and Analysis system (nFIESTA) is an open-source PostgreSQL extension capable to produce estimates of target parameters describing the condition of forests and its development. The specificity of the nFIESTA estimation system is that it allows for an analysis of large datasets sourced by National Forest Inventories (NFIs) of many (not only European) countries. Such an integrated database contains sample plot data that use to be collected following a number of different sampling and survey designs, with spatial distribution and timing that vary from country to country. Using such a system the estimates of forest and landscape parameters can be obtained at a level of detail starting from a relatively small areas - as small as several hundreds of sq. kilometers. From the temporal point of view, the current implementation supports estimations for periods of one calendar year or longer. The system was designed and developed so it can use various sources of auxiliary information (typically GIS maps produced by remote sensing methods). The SW has been developed as part of the Diabolo project (http://diabolo-project.eu/) funded by the European Union’s Horizon 2020 research and innovation programme. None about this event: https://talks.2019.foss4g.org/bucharest/talk/8RBRUR/

GEO 101 is a gentle introduction to all activities and developments of the Group on Earth Observations. The GEO Global Water Sustainability Initiative (GEOGLOWS) changes the paradigm for how streamflow information is created and disseminated. Traditionally, each water organization was required to have the expensive infrastructure and capacity to access large global datasets and develop their own models to forecast streamflow useful for decision-makers. Using the GEOGLOWS global streamflow services they no longer have to have their own internal infrastructure for modeling, but instead can access the streamflow forecasts through web services and use them according to their own prioritized needs. This freely provided streamflow information, which leverages the hydrometeorological computational expertise of the GEOGLOWS Partnership, saves millions of dollars and allows national and local agencies to use precious resources for developing solutions and applications specific to their local water resources management needs. None about this event: https://talks.2019.foss4g.org/bucharest/talk/FW9NWX/

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

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

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/

QGIS - like Geoserver, Mapserver and all the great OSGEO project - do no longer need to prove they can do the job. We now have millions of users, with great expectations, growing budgets and growing communities. Still we lack funding for boring tasks : packaging, bugfixing, documentation, QA and marketing needs some love. **What about changing minds and stop saying open source does not cost anything ?** Could that solve this situation where countries having most users also have the less contributors ? This talk will take profit of real life examples of big corporations that decided to pivot their approach from "using open source" to "embrace Opensource". Let's get out of our technical comfort zone and expose ourselves to enlarge our contributors' base. This is a **deeply optimistic** talk looking right into the eyes of what we need to improve, as an opensource ecosystem ! None about this event: https://talks.2019.foss4g.org/bucharest/talk/7WCC7G/

If a company discovers GIS as a usefull tool, it normally starts with a few desktop GIS (most likely QGIS) users. Later on, if GIS is more widely used within the company, the need for a spatial data infrastructure (SDI) arises. This presentation shows how to step-by-step create a slim SDI around QGIS, which other software components can be used, their advantages and disadvantages and how they play together with QGIS. None about this event: https://talks.2019.foss4g.org/bucharest/talk/F8NTTR/

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/

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/

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/

The Open Green Map app has been used by map makers around the world to collect thousands of green sites over the last decade. With a new implementation, the Open Green Map has potential to truly live up to its name, and achieve a sharable, scalable, fast and easy to use application. This is what the project I will present sets out to do. Working on an open source project can sometimes make it seem like compromises around performance or user centric design are reasonable. What if you don't want to compromise in any of these 2 directions? By using an appropriate and modern tech stack, along with generative programming techniques, we hope to introduce a new approach for creating GIS applications. This talk will introduce how the new Open Green Map app works, and advantages of using DLang and Ember for a GIS app. We will also take a look at challenges that arise in relation to implementing GIS applications while having plenty of constraints around resources, and when helpful open source libraries are missing. The presentation will include an overview of the infrastructure, examples of how we generate REST APIs based on the app models and a quick look at how we efficiently display the sites on maps. None about this event: https://talks.2019.foss4g.org/bucharest/talk/VTNTG8/

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/

The talk aims to share with other participants how Map Kibera in partnership with World Bank are helping Counties in Kenya to map their projects. Producing maps to be used during participatory Budgeting forums with the public. The maps help inform what other projects citizens want implemented for them in their respective areas after knowing what’s already in place. Kindly see below http://www.mapkibera.org/blog/2018/07/17/mapping-counties-with-participatory-budgeting/ http://www.mapkibera.org/blog/2018/05/30/citizens-and-government-map-makueni-county/ None about this event: https://talks.2019.foss4g.org/bucharest/talk/CXJSDT/

This is the AGM of OSGeo. None about this event: https://talks.2019.foss4g.org/bucharest/talk/7AWSAW/

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/

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/

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/

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/

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/

When disaster strikes developing countries, a lack of geographic data is often a hindrance to first response and relief operations. To address this lack of geographic data, remote mapping and especially mapathons have played an important role in collecting geographic data in OpenStreetMap (OSM) that can be used to plan activities in areas effected by disaster or other humanitarian efforts. During mapathons, volunteers from various backgrounds get together to map a specific area using satellite imagery or aerial photographs. The expertise and motivation of these volunteers generally differ. Even though the geographic data in OSM is invaluable in cases where little to no data is available, the quality of the data collected during mapathons is often questioned. In this paper, we present our results from an evaluation of university students’ motivation for participating in mapathons and their productivity (i.e. how much data they contributed). To achieve our aim, we hosted four mapathons for final year university students where the participants were asked to complete a short questionnaire to determine their motivations and personal opinions of the mapathon. Afterwards, the productivity for two mapathons were evaluated. Final year students enrolled in a geoinformatics module were offered extra credit for participating in the mapathons. As a result, the majority of the students participated in all four mapathons and the answers did not differ significantly between the four mapathons. One of the main reasons mentioned, apart from extra credit, was that the participants felt a sense of humanitarianism through contributing to communities in need by assisting. Additionally, the social aspect also came through with a large percentage of the participants indicating that mapathons are fun and that they learned something new, for example by improving their digitizing skills or that humanitarian organizations need help. Participants also indicated that the tools (i.e. OSM and iD editor) were easy to use, but that the imagery is sometimes not good enough due to cloud coverage. The general productivity for two mapathons was evaluated and we found that with more experience the participants were generally more productive. A further step was taken by investigating five individuals productivity. It was clear that their productivity increased, and that they made fewer errors during the subsequent mapathons. The results from this evaluation provided insight and knowledge that could assist mapathon organisers to create a more productive environment for participants with the hopes of encouraging them to produce high quality data. The feedback from students was clear that if they receive information about the aim of a mapathon and why the data is important, they are more motivated to produce high volumes of quality data. None about this event: https://talks.2019.foss4g.org/bucharest/talk/THMVYS/

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/

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/

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/

[Oskari](www.oskari.org) is a multi-purpose web map platform optimized for utilizing modern spatial data infrastructures. Currently incubating to become an OSGeo project Oskari supports a wide variety of OGC services including the WFS 3.0 draft specification. However Oskari's speciality is it's support for statistical APIs and the thematic mapping tool. The thematic mapping tool in Oskari allows users to create dynamic thematic maps from online data. Different visualizations, classifications, charts and time series are supported. This talk will introduce Oskari and showcase the thematic mapping tool. None about this event: https://talks.2019.foss4g.org/bucharest/talk/QRCCML/

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/

PyWPS is an open source, light-weight, Python based, implementation of the OGC Web Processing Service (WPS) standard. It provides users with a relatively seamless environment where to code geo-spatial functions and models that are readily exposed to the Internet through the WWW. Initially started in 2006, the current 4.x version takes advantage of the state-of-the-art Python infrastructure in order to provide new and useful features. The current version implements the WPS 1.0 standard entirely. The WPS 2.0.0 and it's features is currently on-hold status. PyWPS offers a straightforward WPS development framework with the increasingly popular Python language. Python offers access to a vast array of code libraries that can be easily used in the processes, in particular those for geo-spatial data manipulation, e.g. GRASS, GDAL/OGR, Fiona, Shapely, etc., but also to statistics packages (e.g. rpy2 for R statistics) and data analysis tools (e.g. pandas). PyWPS offers storage mechanisms for process inputs and outputs and spawns processes to the background for asynchronous execution requests. Talk will present features of the last 12 months of development and outline the roadmap for next versions of PyWPS. None about this event: https://talks.2019.foss4g.org/bucharest/talk/NLVSZJ/