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22:53 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

The economics of bringing a new geo product to market by leveraging open standards, FOSS and FOSS4G

The cloud and open source software have fueled a wave of innovation that has enabled both large and small companies to bring products to market more easily and with less cost and friction than ever before. This talk will describe our journey to bringing such a new product to market. In 2014 Google began selling its high resolution imagery and purchasers received the data as large buckets of files deployed within Google’s Cloud Platform (GCP). This opened a requirement for high performance serving of that imagery via the Open Geospatial Consortium’s (OGC) WMS and WMTS standards. This talk will describe the process of a small company developing this image serving technology by both incorporating and contributing to open source and geo open source initiatives. The talk will describe the market opportunity for the new product as well as the business case that led us to choosing an open source approach even for something that is ultimately sold. The talk will also describe the Node.js technical approach that was chosen and the array of geo tools, such as Mapnik and PostGIS, and other open javascript frameworks (e.g. Bootstrap, Handlebars.js, etc.) that underpin the solution. The talk will also highlight our development team’s open source contributions back to projects and the community. The talk will conclude with a description of the lightweight server and its features that enable an “imagery as a service” business model that daily serves hundreds of users in Utah and Texas.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:32 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Trying to visualize GIS & BIM information on the web: a solution using Leaflet and Cesium

While GIS is a term whose use has now been consolidated for years now, BIM is a term whose use is increasingly widespread over the past few years. The both deal with geo-localized "objects", so the ongoing studies for a common point of the GIS and BIM different views of the same object is somewhat unavoidable. A first attempt at integration information belonging from these two worlds is presently under way in the framework of EU funded DIMMER project. This project integrates BIM, district level 3D models with near-real time data from sensors and user feedback in order to analyze and correlate buildings utilization, and to provide information about energy-related behaviors to users and other stakeholders. From the point of view of technology, the project uses open source technologies such as Java, Leaflet and Cesium, as far as GIS is concerned: here you're an architectural schema. The web application integrated GIS data read directly from a POSTGIS data base, with data flows from BIM services, near-real time data from sensors distributed over the territory under examination, and on line processed indexes/calculations. The present version of the project makes it possible to consult sensor information in near-real time, as well as the other processed calculations/indexes, through a web dashboard that includes as primary elements both a 2D map (based on Leaflet), as well as a 3D map (based on CesiumJS).
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:15 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Create Vector Tiles from OpenStreetMap

The OSM2VectorTiles project offers free downloadable vector tiles ready to use by people interested in hosting custom base maps on their own infrastructure. The whole world fits on a USB stick and can be served from an ordinary web hosting and styled and enriched to make beautiful and fast maps for web and mobile applications. The advantages of vector tiles over traditional raster tiles are well known. There are already a handful of vector tile provider present, but they may not always serve your use case optimally. After this talk you will know how to create your own custom vector tiles based on OpenStreetMap and will know the tools and processes you need to use. The talk will cover how to import OpenStreetMap data into PostGIS and then shows how to generate vector tiles using Tilelive and Mapnik. We will present the open source workflow we use at OSM2VectorTiles to prerender global vector tiles and instruct you how to adapt the workflow to create custom vector tiles. Thanks to Docker and tools such as Mapnik, PostGIS, Tilelive and Mapbox Studio Classic the process is straightforward and repeatable. Manuel Roth (HSR University of Applied Science Rapperswil Switzerland) Lukas Martinelli (HSR University of Applied Sciences Rapperswil Switzerland) Petr Pridal (Klokan Technologies GmbH)
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
27:27 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Leveraging Big Geo Data through Metadata

The increase in the scale of traditional data sources, along with an explosion in the availability of sensor data, have originated massive volumes of data, a great deal of which is actually geolocated. This is partly due to the wide adoption of cheaper position technologies, and to the exponential growing of Volunteered Geographic Geographic Information (VGI) movements, which rely on crowdsourcing approaches. Big Data has generated a lot of interest amongst industry, the developer community and the public in general, and it has been at the core of many technology innovations which took place recently (e.g.: NoSQL, MapReduce); these new approaches already started to involve the geo community with projects such as the ESRI Spatial Framework for Hadoop or GeoTrellis, just to mention a few. However, the focus has been mostly on storing data (at the infrastructure level) and using data (at the analysis level), leaving aside challenges such as discoverability, integration or security. In this talk, we will address some of these outstanding challenges through the use of metadata and the semantic web, and show how the use of a decentralized and standardized catalog can help to unlock the five V's of Big Data: Volume, Velocity, Variety, Veracity, and most importantly, Value.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
22:45 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Interoperability with OpenLayers 3

This talk will focus on the many ways that OpenLayers 3 can integrate with different systems out there. Some of the abilities are integrated into the library itself, think of open standards such as WMS, WMTS, KML, GeoJSON. Other ways to provide integration is through external libraries such as ole, which integrates with Esri ArcGIS REST services (Map Services and Feature Services), or JSONIX to provide parsing (and serialisation) of a huge amount of OGC standards.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:01 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

QWCII: A new QGIS Web Client

QGIS Web Client (QWC) is a Web-GIS client based on OpenLayers 2 and ExtJS and tailored to use special extensions of QGIS Server, such as extracting information from QGIS Project settings, extended GetFeatureInfo Requests, GetPrint and DXF export. It uses standard WMS/WFS commands, but extends them where needed. QWC is used by several cities and provinces in Europe. There are four main reasons why QWC needs to be overhauled: The code structure is not very modular and should be better structured. QWC only works well on Desktops. Despite a separate mobile web client based on OpenLayers 3 and jQuery Mobile, for maintenance reasons it would be much better to have a single web client that uses responsive design and works for all devices from a single viewer. The base libraries ExtJS 3.4 and Openlayers 2 have been phased out and there are newer versions available. However, the upgrade to the newer versions is not trivial. Having a more modern foundation based on newer web technologies This presentation discusses the requirements, the progress of this project, technical decisions taken and challenges solved during the project. While the first goal of the project is to establish a modern foundation for the coming years and reach feature parity with the old QWC project, it is already planned to implement a QWCII python plugin that offers a GUI and assists with the global configuration of the client. This tool should also facilitate the management of topics and projects.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:14 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Validating services and data in an SDI

To achieve interoperability in a spatial data infrastructure (SDI), conformance to specifications is essential for services and data. Service and data providers need a capability to validate their components. For several OGC standards, the OGC CITE tests provide such a capability. This covers base standards, but in SDIs typically additional specifications are added, for example, service profiles or data specifications. In the European Location Framework (ELF) the test framework ETF is used to validate INSPIRE services and data provided by National Mapping Authorities against the INSPIRE Technical Guidelines as well as against ELF-specific requirements. ETF is a test framework for spatial data infrastructure components. It supports SoapUI (for testing web services) and BaseX (for testing XML documents, including very large ones) as test engines to develop and execute test suites. ETF has been implemented in several iterations over recent years as existing open source test environments could not be configured to provide uniform test reports that were readable by and useful for non-developers. Outside of the ELF project, ETF is currently mainly used in Germany and the Netherlands, partly extending the INSPIRE-specific tests based on national profiles. We present the approach for developing user-friendly test suites and discuss typical issues that have been encountered in the ELF testing.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
28:19 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Processing Copernicus Sentinel data with GRASS GIS

Markus Neteler (mundialis GmbH & Co KG) Carmen Tawalika (mundialis)
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
20:49 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Development of a new framework for Distributed Processing of Big Geospatial Data

The Geospatial world is still facing the lack of well-established distributed processing solutions tailored to the amount and heterogeneity of geodata, especially when fast data processing is a must. However, most current distributed computing frameworks have important limitations regarding both data distribution and data partitioning methods. Hence, this paper presents a prototype for tiling, stitching and processing of big geospatial data. The system is based on the IQLib concept developed in the frame of the IQmulus EU FP7 research and development project. The data distribution framework has no limitations on programming language environment and can execute scripts (and workflows) written in different development frameworks (e.g. Python, R or C#). It is capable of processing raster, vector and point cloud data. Our intention is to provide a solution to perform a wide range of geospatial processing capabilities in a distributed environment with no restrictions on data storage concepts. Our research covers methods controlling data partitioning, distributed processing and data assimilation as well. Partitioning (also referred to as “Tiling”) is a very delicate yet crucial step having impact on the whole processing. After algorithms have processed these “chunks” or “tiles” of data, partial results are collected to carry out data assimilation or “Stitching”. The paper presents the above-mentioned prototype through a case study dealing with country-wide processing of raster imagery. Assessment is carried out by comparing the results (computing time, accuracy, etc.) to concurrent solutions. Further investigations on algorithmic and implementation details are in focus for the near future.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:21 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Flood mapping and analysis platform based on open satellite data and free and open source geospatial

Flooding remains the most widely distributed natural hazard in Europe, causing significant economic and social impact. Nowadays, availability of earth observation data generates fundamental contributions towards mitigation of detrimental effects of extreme floods. The technological advance allows development of online services able to process high volumes of satellite data without the need of dedicated desktop software licenses. The talk presents the data, the algorithms and the technologies used to develop such an online system that can use multi-scale satellite data, together with reference and in-situ information, to map the areas affected by floods and giving the users the possibility to inspect, process, analyze and validate the information. The platform, created by National Meteorological Administration of Romania, offers services based on Open Geospatial Consortium standards for data retrieval (WMS, WCS, WFS) and server-side processing (WPS, WCPS). The services were built using open source solutions such as GeoServer, OpenLayers, PostGIS, GDAL, rasdaman.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
41:11 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

FOSS4G Bonn 2016: Lightning Talks I

  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
23:24 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

The Evolution of the GeoNode Community

The GeoNode project has grown from an idea and a handful of early partners 5 years ago to a large and thriving open source project and downstream ecosystem. This talk will discuss the cast of characters and organizations that currently contribute to GeoNode, how this community has grown and evolved over time and the growing pains encountered and lessons learned in the process. Particular focus will be paid to the technical and collaborative aspects of growing and managing a diverse community, looking at how new community members are brought into the fold and how the resources that organizations with different needs and requirements bring to the table are marshaled most effectively to achieve economies of scale when developing new features. The GeoNode community has begun a quantitative analysis of organizational return on investment from open source and initial results of this study will also be presented.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:21 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

From global observations to local information: The Earth Observation Monitor

Earth Observation (EO) data are available around the globe and can be used for a range of applications. To support scientists and local stakeholders in the usage of information from space, barriers, especially in data processing, need to be reduced. To meet this need, the software framework "Earth Observation Monitor" provides access and analysis tools for global EO vegetation time-series data based on standard-compliant geoprocessing services. Data are automatically downloaded from several data providers, processed, and time-series analysis tools for vegetation analyses extract further information. A web portal and a mobile application have been developed to show the usage of interoperable geospatial web services and to simplify the access and analysis of global EO time-series data. All steps from data download to analysis are automated and provided as operational geoprocessing services. Open-source software has been used to develop the services and client applications.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
22:41 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Building applications with FOSS4G bricks: two examples of the use of GRASS GIS modules as a high-level "language"' for the analyses of continuous space data in economic geography

In a world where researchers are more and more confronted to large sets of micro-data, new algorithms are constantly developed that have to be translated into usable programs. Modular GIS toolkits such as GRASS GIS offer a middle way between low-level programming approaches and GUI-based desktop GIS. The modules can be seen as elements of a programming language which makes the implementation of algorithms for spatial analysis very easy for researchers. Using two examples of algorithms in economic geography, for estimating regional exports and for determining raster-object neighborhood matrices, this paper shows how just a few module calls can replace more complicated low-level programs, as long as the researcher can change perspective from a pixel-by-pixel view to a map view of the problem at hand. Combining GRASS GIS with Python as general glue between modules also offers options for easy multi-processing, as well as supporting the increasingly loud call for open research, including open source computing tools in research.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:52 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Using SQLite to take maps offline on mobile devices

Nowadays, the internet allows us to access maps on mobile and tablet devices in real-time when we need them. Very often we might be without an internet connection. How to get access to maps in such situations? The answer is to take maps offline. What are technical challenges to get maps offline? Why is SQLite ideal database for offline map storage? How to store all vectors and rasters into a single SQLite database on a mobile device? How to render such maps using hardware with limited capabilities? What are storage and bandwidth requirements? How to solve offline map editing and synchronization? These are only some of the questions this talk will focus on.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
27:07 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Keynote I - Maximising the socio-economic potential of EO data.

  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
30:12 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Keynote III - Geospatial Analytics in Risk Management

At the Joint Research Centre (JRC), scientists involved in maritime situational awareness are confronted with a growing volume of data. Every day millions of ship positions from terrestrial and satellite receivers are gathered globally and in real-time, as well as optical and radar Earth Observation images, leading to a significant variety of data. To support the researchers, policy makers and operational authorities in their activities a analysis platform with WebGIS functionality has been developed with the aim of turning data into valuable information and demonstrating pre-operational tools for maritime awareness. The platform is mostly based on FOSS software and consists of a front-end visualization tool and a back-end analysis engine. Fusion algorithms provide the ability to integrate data from multiple sources on the fly. A series of tools provide predictive analysis, activity mapping, anomaly detection, and cross disciplinary information, to support maritime security and safety and to improve marine knowledge. The web application is developed using open source programming languages (e.g. Javascript, Python), frameworks (e.g. Django, Geoserver), and interchange data format (JSON) to enable researchers to seamlessly integrate ad hoc algorithms developed in scientific languages (e.g. R, Matlab). A case study will be presented, showing examples of how the WebGIS architecture can provide visualisation and analysis tools to support decision makers and scientific and operational actors in the fields of fisheries science, maritime spatial planning, and maritime surveillance.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
28:20 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Paleomaps: SDI for paleoenvironment GIS data

Paleoenvironmental studies and according information (data) are abundantly pub-lished and available in the scientific record. However, GIS-based paleoenviron-mental information and datasets are comparably rare. Here, we present an OpenScience approach for collecting and creating GIS-based data and maps of paleoenvironments, and publishing them in a web based Spatial Data Infrastructure (SDI),for access by the archaeology and paleoenvironment communities. The Open Science approach to the publication of data, allows to properly cite the publisheddatasets as bibliographic sources in research that builds upon these data sets.This paper has its focus on the implementation and setup of the Free and OpenSource Software for Geospatial (FOSS4G) based SDI, and on the workflow forcompiling and publishing the GIS data.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
24:24 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Urban SDG Measuring System using the Open Geospatial Data of the International Organizations

As a post Millennium Development Goals(MDG), 17 Sustainable Development Goals(SDG) and 169 indicators were adopted at 2015 in the UN general assembly. Especially as the developing countries are predicted to face rapid urbanization until the 2030, Cities attract more and more attentions for achieving SDGs because most activities occur in the cities. But the activities are closely related to spatial phenomena. It is essential to consistently construct the spatial database for developing and developed countries and uniformly measure and monitor the indicators of urban SDGs which is operationally defined in this presentation as a SDG 9 and 11. In this regards, open geospatial data present both possibilities and limitations for urban SDG measurement. In this presentation, we analyze open database from UN agencies and Multilateral Development Banks(MDB) and measure and predict the urban SDG until the 2030 using that database. To that end, we analyze the related open data structure of those international organizations and develop a UN SDG monitoring system based on the FOSS4G solutions such as PostGIS and GeoServer. Choi, Junyoug (Spatial Information office, Korea Land and Housing corp., Republic of Korea) Hyunsoo Kim (CITUS. CO) Jaeseong Ahn (Kyungil University)
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
22:55 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

OGC's Land Administration Working Group – Building Bridges between communities

Land administration is an ongoing concern in many countries of the world and less than 30% of the landcover is properly titled or surveyed. This lack leads to insecurity of tenure, economic barriers, land grabbing and is a major problem to resolving land conflicts. Land administration frameworks have to support a wide variety of regulatory and policy environments and interoperability is key in providing the necessary flexibility. In order to avoid the creation of yet another set of data silos OGC members set out to form a Domain Working Group (DWG) on Land Administration as a forum to explore existing interoperability standards and best practices in this domain. The presentation will focus on this newly established working group and introduce to some of the key points of interest. While there are some standards describing elements of an administrative system (for example ISO LADM), there is no consistent use of geospatial description of land records or adequate rules for defining and describing the quality of the records. The group will work to provide a common vocabulary for the locational aspects of land administration databases and will also be a forum for connecting suitable technology for data linkage and quality assessment. Some of the key players in the Land Administration domain have created Open Source tools like FLOSS SOLA (FAO) and STDM (GLTN and UN Habitat) which are based on core OSGeo technology and already make extensive use OGC standards.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:17 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Humanitarian Capacity Building and Preparedness with QGIS

MapAction has been using QGIS for the past five years or so as its principal training tool when working with humanitarian agencies in a number of countries affected by humanitarian disaster and conflict. This talk will focus on the training and preparedness work that MapAction has carried out with QGIS, reflecting on the experience of using QGIS, describing the methods it has employed to work with both GIS professionals and staff new to GIS, and what has been learned in the process. This will include some discussion of what has been successful and less successful, and how the use of mapping and GIS in humanitarian response can be encouraged and supported in the long term. There will also be examples of QGIS products and implementation by other organisations, with a view to identifying best practice and the means of disseminating this in the humanitarian information management community.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
18:11 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Towards open, interoperable, and transdisciplinary point clouds for high performance computing

Large point clouds have emerged across a wide range of disciplines, however users and managers face a bewildering range of storage formats, large datasets and convoluted workflows for analysing point clouds alongside other data. Services like OpenTopography and the PDAL toolkit enable point cloud discovery and use, but integration with other earth systems data is not transparently supported. The Australian National Computational Infrastructure (NCI) hosts 10+PB of research data, predominantly in the realm of Earth Systems. These include extensive point cloud data which need to be discoverable alongside, and interoperable with, substantial collections of geospatial observations and model data using common tools in a High Performance Computing (HPC) and High Performance Data (HPD) environment. NCI has created a National Environmental Research Data Interoperability Platform (NERDIP) to help manage and analyse the data, both locally and remotely using web services which makes use of advanced features in HDF/NetCDF. We have demonstrated that deploying other geospatial data using a HDF5 model has the potential to directly improve large-scale usage and increase data interoperability between diverse geospatial collections. Models such as the Sensor Independent Point Cloud (SIPC) and SPDLib are based on HDF5. NCI are currently evaluating the use of these formats to aid discovery, extraction and processing using readily available tools, as well as interrogation via web services. The end goal for NCI is making point data discoverable and accessible to end-users in ways which allow seamless interoperability with other datasets and processing techniques.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
24:24 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Mapping WiFi measurements on OpenStreetMap data for Wireless Street Coverage Analysis

The growing interest on smart cities and the deployment of an ever increasing number of smart objects in public locations, such as dumpsters, traffic lights, and manholes, requires ubiquitous connectivity for these devices to communicate data and to receive configurations. Opportunistic WiFi connectivity is a valid alternative both to ad hoc solutions, like LoRa, which require costly deployments, and to communicating through the mobile network, which is both pricey and battery power hungry. In this paper we present a tool to analyze the WiFi coverage of home Access Points (AP) on the city streets. It can be of interest to ISP or other providers which want to offer connectivity to Internet of Things smart objects deployed around the city. We describe a method for gathering WiFi measures around the city (by leveraging crowdsourcing) and an open source visualization and analysis web application to explore the accumulated data. More importantly, this framework can leverage the semantic information contained in OpenStreetMap data to extract further knowledge about the AP deployment in the city, for example we investigate the relationship between the AP density per square kilometer within the city and the WiFi street coverage ratio
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:23 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

GeoMapFish 2 - Ready for the Future

GeoMapFish is an open source WebGIS platform developed in close collaboration with a large user group. The second version offers a modern UI based on AngularJS. OpenLayers 3 and an OGC architecture allow to use different cartographic engines. Highly integrated platform, large features scope, fine grained security, reporting engine, top performances and excellent quality of service are characteristics of the solution. In this talk we’ll present the technical aspects of the platform and its modular architecture.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:53 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Bringing benthic data to the surface - moving Marine Recorder into an open source spatial database.

The Joint Nature Conservation Committee (JNCC) is one of a number of organisations that run inshore and offshore surveys to collect data on seabed biodiversity (e.g. species records and habitat types). The main storage and collation system for these data is Marine Recorder, a Microsoft Access-based database application developed by JNCC in 2002. Despite several updates since then, the system is now significantly out of date, and the lack of internet connectivity or the ability to store spatial data is a major problem. As a result of these issues, organisations in the UK that collect benthic data are investigating more up-to-date systems and there is a significant risk of data fragmentation. JNCC are currently in the process of moving all of our spatial data from a file based system into PostGIS. This talk will describe JNCC’s open-source geospatial information strategy and how we are integrating Marine Recorder into this, discussing the efficiency savings that this provides, as well as our plans for developing a full open-source, online replacement for Marine Recorder in the future.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:08 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

MapServer Status Report

2015 was a big year for the MapServer project with the release of the 7.0 major version. This presentation highlights the new features included in this version, like WFS 2.0 for Inspire, UTFGrids, or heatmaps, as well as a recap of the main features added in recent releases. It further shows the current and future directions of the project and discusses contribution opportunities for interested developers and users. After the status report of the MapServer project there will be the opportunity for users to interact with members of the MapServer project team in an open question/answer session. Don’t miss this chance to meet and chat face-to-face with members of the MapServer project team!
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
27:39 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Mastering Security with GeoServer and GeoFence

The presentation will provide an introduction to GeoServer own authentication and authorization subsystems. We’ll cover the supported authentication protocols, such as from basic/digest authentication and CAS support, check through the various identity providers, such as local config files, database tables and LDAP servers, and how it’s possible to combine the various bits in a single comprehensive authentication tool, as well as providing examples of custom authentication plugins for GeoServer, integrating it in a home grown security architecture. We’ll then move on to authorization, describing the GeoServer pluggable authorization mechanism and comparing it with proxy based solution, and check the built in service and data security system, reviewing its benefits and limitations. Finally we’ll explore the advanced authentication provider, GeoFence, explore the levels on integration with GeoServer, from the simple and seamless direct integration to the more sophisticated external setup, and see how it can provide GeoServer with complex authorization rules over data and OGC services, taking into account the current user, OGC request and requested layers to enforce spatial filters and alphanumeric filters, attribute selection as well as cropping raster data to areas of interest.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:36 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

A complete toolchain for object-based image analysis with GRASS GIS

Object-based image analysis (OBIA) is the current state of the art feature extraction technique for very high resolution (VHR) satellite imagery. While one proprietary tool dominated the market for years, more and more alternative solutions now appear, including free software based, and research continues to produce new approaches. However, many of the techniques implemented in free software are not easily accessible to the inexperienced user. This presentation presents efforts to develop a complete tool chain of easy-to-use modules for OBIA in GRASS GIS, ever since the development of an image segmentation module i.segment during GSoC 2012. Amongst the other modules presented are i.segment.uspo for unsupervised segmentation parameter optimization, i.segment.hierarchical for hierarchical segmentation, v.stats and i.segment.stats for the collection of statistics characterizing the objects, v.class.ml and v.class.mlR for supervised image classification. Combining these modules enables semi-automatic treatment of VHR imagery in a completely free software environment, as shown through examples of the two research projects SmartPop (funded by ISSeP) and MAUPP (funded by BELSPO). The talk will end with some reflections about possible further enhancements of this process, including through the combination of GRASS GIS with other FOSS4G tools.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:09 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Hosting vector tile maps on your own server

Custom styled map of the whole world served from your server? Easy! This talk shows examples of practical use of the vector tiles downloaded from the OSM2VectorTiles project or other tiles in MVT format. A new open-source project called TileServer GL is going to be presented. This project serves JSON map styles into web applications powered by MapBox GL JS library as well as into native mobile SDKs for iOS and Android. The same style can be rendered on server side (with the OpenGL acceleration) into good old raster tiles to ensure compatibility and portability. Maps can be opened in various viewers such as Leaflet, OpenLayers, QGIS or ArcGIS. Alternatively it is possible to use a tileserver powered by Mapnik to render the raster tiles out of vector tiles and existing CartoCSS styles made in MapBox Studio Classic. Other approaches for independent hosting and using of vector tiles are going to be presented as well.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:35 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

MapServer MapCache: Project Status Report

This talk will present the recent developments that happened in MapCache, the tiling server from the MapServer project. Main features include enhanced support for dimensions allowing easy creation of imagery mosaics, and further integration with cloud based infrastructure.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:49 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

GeoExt3 — Universal WebGIS applications with OpenLayers 3 und ExtJS 6

  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:42 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

How to Visualize Indoor Data in 2D Map? Is This the Way to Go?

It seems easy. Tag rooms, doors, and other indoor features with level number (or floor or storey), put level selector to the map and show features just from selected level. End of story. But what if there are two buildings A and B connected by passage? And what if these buildings are on a slope and level A1 is on the same height as level B3? And what about mezzanines? Are stairs part of the lower floor or upper floor? And where to show it? Aren't some big lecture rooms stepped? And aren't they also used to take more levels? Masaryk University maintains geospatial database of its own buildings including polygon features like floors, rooms, doors, windows, or walls. It contains more than 200 buildings and 20,000 rooms. Based on the database we are building web maps in OpenLayers 3 for specialized users as well as for students and academic staff. Therefore we have faced similar questions as mentioned above many times and I would like to share our experience.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
25:36 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

The most popular OpenStreetMap editing application

OpenStreetMap is known for its openness, scale and diverse community. There are almost half a million editors, most using one of three desktop editing applications: iD, JOSM or Potlatch 2. This year, a challenger appeared. MAPS.ME is an open-source multiplatform application for using OpenStreetMap offline on phones and tablets. It's extremely popular, second only to pre-installed mapping apps. With this application we are bringing the power of open maps to millions of users, and now starting to direct that flow the other way: giving millions of casual users a tool for updating the map. In this talk Ilya will share a history of adding editing features to the app, some statistics and how this change has affected OpenStreetMap, both the map and the community. How bad is it when a horde of newbies comes ruining your map?
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:30 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

How Linked Open Data finds the bar near you

Within the GIS community we became very fond of our web map servers and feature request possibilities to share and access data. Sharing data is relevant and applicable to other fields and communities. This led to the rise of the semantic web and to web 3.0. Clearly defined relationships between objects make it possible to interlink them and allow to search for relationships themselves. In this presentation I will demonstrate a web application that uses different techniques to access linked open data and show how the individual results can be used as input for the next search request. An open innovation platform on linked data was started in the Netherlands. One of their results was to open a server to store and access linked open data. I have used this data warehouse as a starting point for a demonstration in a geo web application. The application is based solely on open source frameworks (OpenLayers, proj4js, jQuery, and pure). The user enters a zipcode and house number, and the application uses linked data techniques to retrieve the location. This first search result connects to the next open dataset to obtain statistical information about the area. One of these statistics is the average number of bars within a 1 km radius. But where exactly are these bars? Using yet another open dataset (OpenStreetMap with Overpass API) we can pinpoint the location of bars and pubs.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:57 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Mapchete - parallelized batch geoprocessing using Python

Processing geodata can be fairly simple until the input data reaches a certain size. Creating a hillshade or extracting contour lines from a DEM can be done quickly, but if you want to do this with e.g. the global SRTM dataset (1296001 x 417601 pixel), the process will crash (unless you are visiting from the future). Besides, if there are additional steps required like clipping the data to the 400MB landpolygon behemoths from OSM or applying custom filters, you probably find yourself starting to write your own tool chunking the data. mapchete tries to solve this issue by helping you to focus on developing your geoprocess written in Python and applying this process to the data. It does so by automatically reprojecting and chunking the input datasets into tiles (based on the “WMTS simple profile”) and running your Python process for each tile individually and in parallel on all available CPU cores. mapchete offers two command line tools. mapchete execute runs the process on the full dataset, similar to tile pyramid seeding for map caches. mapchete serve hosts an OpenLayers interface and processes only the data in areas and zoom levels you are currently inspecting. This allows you to test and assess your process on the full dataset on the server, instead of clipping and downloading subsets on your laptop. mapchete is used as the data preprocessing backbone of EOX Maps, a service which provides background maps for example to the European Space Agency.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
23:24 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Train the users! No GIS is easy...

Every software platform needs three things in order to be successful: Good and solid software, reliable support and maintenance services in order to make it run smoothly, and training possibilities for the endusers to make sure they use it in a most effective way. Open geospatial software is the basis. And, with the progress that has been made in the last few years, it is among the best around. Support and other services are more and more common. In the Netherlands, you can identify several commercial organizations specializing in FOSS4G, and others adding it to their existing portfolio of services. But what about training possibilities? Few specialized training services for geospatial software are existing, and service providers might do some on-the-job training, but it is by no means comparable to the well oiled training machine that distributers of closed source software usually run. So, how to set up training courses for open source geo? At the Dutch Geo Academie we have some experience with this kind of training, and we’d like to share some ideas.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
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Timings

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Version

AV-Portal 3.8.0 (dec2fe8b0ce2e718d55d6f23ab68f0b2424a1f3f)