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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
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
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
27:29 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

GeoServer in Production: we do it, here is how!

The presentation will describe how to setup a production system based on GeoServer from the points of view of performance, availability and security. The suggestions will start covering how a single node GeoServer should be prepared for internet usage, tuning logging, connection pools, security, data and JVM preparation, keeping disk, memory and CPU usage in check within the limits of the available resources. We’ll then move to tools used to monitor the production instances, ranging from probes to request auditing and watch-dogs. Finally the presentation will cover setting up a cluster of server and the strategies for keeping them in synch, from the traditional multi-tier setup (testing vs production) to the systems that need to keep an ever evolving catalog of layers constantly on-line and in synch.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
21:59 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Integration testing of Web Mapping applications (including web mapping server) using Python

When you are developing applications, you need to write tests. A unit test is a test written by the programmer to verify that small piece of code is doing what it is intended to do. The tests are intended for the use of the programmer. An integration test on the other hand is done to demonstrate that different pieces of the system work together. Integration tests cover whole applications, and they require much more effort to put together. The integration tests do a more convincing job of demonstrating the system works than a set of unit tests can. Unit tests can be great but they tightly couple your tests to your code, making it really fragile and anti Agile. We will show integration testing of web mapping applications using Python bindings to Selenium browser automation tool. We can test JavaScript application from Python environment, using standard unittest module. Since Python is very easy to be used and it's very universal language, it's easy to be learned by non-programming co-workers, who can automate application tests and help the developers with testing. Using integration tests in continuous integration development, enables us to be more agile, making sure that both parts - frontend and backend remain integrated even bigger refactoring occures. Part of testing is also background data services, with new project called WMSChecker. This is used in our Jenkins environment, so that system administrators can have overview about current status of running custom nad 3rd party services.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:50 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

How the Land Administration community profits from Open Source

The Social Tenure Domain Model (STDM) is a concept, model and information tool to map people-to-land relationships. STDM is developed and maintained by the Global Land Tool Network (GLTN) under the lead of the UN Habitat. The data model was closely aligned with LADM, an ISO standard on Land Management followed by most implementers. When it came to implementing the software tool the GLTN group decided against reinventing the wheel but to check out existing Open Source components (as maintained by the OSGeo Foundation) and Open Standards (as maintained by the OGC). So basically everything from the data model, technology standards and up to all the tools required to do proper Land Administration is already there. But it is too complex for non-technical people to grapple with. Therefore the GLTN group started to implement a software package which shipped with the right data model for the Postgres and PostGIS database, the desktop software QGIS, reporting tools and comprehensive documentation. This presentation will give an overview of the software tool and underlying components to give participants with limited technological background a better understanding of how it works and how they can also profit from the abundance of great Open Source software that is out there.
  • 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
25:49 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Enterprise Single Sign-On in GeoServer: where do we stand?

Security is a major concern in the enterprise and treats all aspects of identity and access management. Moreover the proliferation of devices and digital assets connected to the Internet of Things is a massive source of growing geographic information. GeoServer has buit-in a lot of features to manage authentication and authorization but often this kind of problem can be better dealt with a dedicated tool (i.e. Forgerock IAM suite) which allows to provide identities and access policies likewise to several clients. What are the best practices to integrate GeoServer into an existent single sign-on and identity lifecycle? Althought tools like CAS and GeoFence allow to enable such features it's more likely that GeoServer needs a leaner and cleaner path towards the externalization of authentication and authorization for the OGC services and its REST API.
  • 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
33:47 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Developing an Open Pedestrian Landmark Navigation Model

Today's publicly available pedestrian navigation systems still use paradigms developed for car navigation. In this paper, we present a novel landmark-based pedestrian navigation model using open source tools and open data from OpenStreetMap, which is available globally and free of charge. This approach ensures that our landmark navigation model is widely applicable, rather than restricted to a certain area with exceptional data sources. Our contributions cover algorithms for extraction, weighing, and selection of landmarks based on their suitability, as well as the generation of landmark-based navigation instructions for a given pedestrian route. The system has been implemented using PostGIS as a data store and QGIS for algorithm development. First field tests with pedestrians show promising results by confirming that our weighted landmark selection outperforms a simple baseline approach by reducing the number of navigation errors and revealed future challenges for the generation of intuitive pedestrian navigation instructions.
  • 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
20:53 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

OSGeo conference videos as a resource for scientific research: The TIB|AV Portal

This paper reports on new opportunities for research and education in Free and Open Source Geoinformatics as a translational part of Open Science, enabled the growing collection of OSGeo conference video recordings at the German National Library of Science and Technology (TIB). Since 2015, OSGeo conference recordings have been included to the collection sphere of TIB in information sciences. Currently, video content from selected national (FOSSGIS), regional (FOSS4G-NA) and global (FOSS4G) conferences is being actively collected. The annual growth exceeds 100 hours of new content relating to the OSGeo software projects and the OSGeo scientific-technical communities. This is seconded by retrospective acquisition of video material dating from past conferences, going back until 2002 to preserve this content, ensuring both long term availability and access. The audiovisual OSGeo-related content is provided through the TIB|AV Portal, a web-based platform for scientific audiovisual media providing state-of-the art multimedia analysis and retrieval. It implements the requirements by research libraries for reliable long term preservation. Metadata enhancement analysis provides extended search and retrieval options. Digital Object Identifiers (DOI) enable scientific citation of full videos, excerpts and still frames, use in education and also referral in social networks. This library-operated service infrastructure turns the audiovisual OSGeo-related content in a reliable source for science and education.
  • 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
32:57 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

PROBA-V mission exploitation platform

In januari, the European Space Agency launched the first version of the PROBA-V mission exploitation platform. proba-v-mep.esa.int. This platform, which is fully operated by VITO Remote Sensing, has the goal to simplify the use of open remote sensing data which should eventually result in operational applications that benefit society. Exploitation platforms are the way of the future to handle the ever increasing volumes of remote sensing data, and at VITO we believe that the use of Open Source software is the only way to collaborate on this shared vision. In this talk, first I want to give a general overview on what users can do with the PROBA-V MEP. This involves using an Openstack VM loaded with FOSS software and direct access to the dataset, to access an Hadoop cluster where a user can distribute his processing using Spark. Secondly, I want to show how we are using Geotrellis to support interactive queries on the full timeseries of remote sensing data that is available in the platform. Also showing how this can be done from within an interactive Scala notebook in the browser.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
18:17 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Analysing the practical feasibility of FOSSGIS in military operations – A Cholera outbreak use case

Remaining ahead of the enemy in all circumstances is crucial to any military power. Geographic information systems (GIS) can provide the military commander with geospatial information about the theatre of war to assist with the planning and execution of a mission. Unfortunately, technology usually comes at a price. GIS is no exception. The cost of acquiring and maintaining GIS software licenses, as well as training staff in the use of the software, needs to be considered. The question arises whether open source software, which can be used without any software license expenses, is a feasible alternative in military operations. The problem is that the perception exists that open source GIS software is neither user-friendly nor mature enough to be used in military operations. This study evaluates the functionality of an open source desktop GIS product in a military operations use case. A list of specific GIS functionalities was compiled based on the literature study and by developing a use case. The functionalities were executed in QGIS. Results were compared against results of the same functionalities in ArcGIS, which is widely used in military operations. Results show that all GIS functions tested by this study could be performed by both software products. These results are interesting because it means that FOSSGIS can be successfully deployed by units or directorates that has limited funds available to expand the existing GIS capabilities for military operations.
  • 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
27:44 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Collect & Manage Geospatial Data Edits with GeoSHAPE

Syrus Mesdaghi (Prominent Edge LLC)
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
51:51 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

OSGeo AGM

After 5 years in production the open source based Pavement Management System for Ireland has amassed over 15 years of road-related data. The back-end mapping engine is powered by MapServer and we are looking to improve performance when dealing with more and more data. The talk will focus on how to set up Locust, an open source Python load testing tool, to automatically get average load times for each WMS and WFS layer from MapServer, and how many users MapServer can handle concurrently. A small open source project is currently being written to help this process. Whilst MapServer is the focus of the talk, any OGC-compliant server can be tested in the same way. The talk will then briefly run through a series of experiments to see how changing various components affects performance. These are: Running MapServer on Linux as compared to Windows Using the MapServer native SQL Server driver, and using the OGR driver Map file size Venkatesh Raghavan (Osaka City University)
  • 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
21:57 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Unleashing the potential of your sensor data with istSOS

istSOS is a complete and easy to use sensor data management system for acquiring, storing and dispatching time-series observations. istSOS is compliant with the Sensor Observation Service standard (SOS) version 1.0 and 2.0 from the Open Geospatial Consortium (OGC) and offers unique extended capabilities to support scientific data analyses (integrated quality assurance, RESTful API, on the fly processing with virtual procedures, remote data aggregation, time-space re-projection etc.). istSOS core libraries are written in Python while it easy to use interface is Web based. This presentation will illustrates the projects and its latest enhancements, including: The OGC SOS 2.0 standard implementation Authentication and Authorization System Alert and Notification system Finally the presentation will discuss the challenges that istSOS need to face for entering in Big Data showing results of scalability tests and ongoing new IoT driven development features. The robustness of the implemented solution has been validated in a real-case application: the Verbano Lake Early Warning System. In this application, near real-time data have to be exchanged by inter-regional partners and used in a hydrological model for lake level forecasting and flooding hazard assessment. This system is linked with a dedicated geoportal used by the civil protection for the management, alert and protection of the population and the assets of the Locarno area.
  • 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
27:04 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

MapStore 2, modern mashups with OL3, Leaflet and React

MapStore 2 is an overhaul of the existing MapStore with the goal of creating a webmapping framework which is more lightweight but still modular and easy to work with. It can leverage both OpenLayers 3 or Leaflet as the mapping engine and uses ReactJS and Redux as the core JavaScript libraries. Moreover a 3D viewer based on CesiumJS is available. MapStore 2 is both a framework and a standalone application. You can use it as a framework to develop your custom WebGis application composing MapStore ReactJS components and components from other libraries (like React Bootstrap), choosing the best mapping library for your purposes. You can also use the MapStore2 application directly, to create, save, and share in a simple and intuitive way maps and mashups created by selecting content from the server such as Google Maps, OpenStreetMap or WMS and WMTS. The MapStore 2 application consists of two main components MapManager and GeoStore, respectively front-end and back-end. MapManager allows through a unique interface to create, modify, delete and search on maps definition as well as generate a univoque link to embed a map in an external website, share your own maps with the others. GeoStore implements a flexible Java Enterprise infrastructure to manage and search maps with proper management of authentication and authorization. The presentation will give the audience an extensive overview of the MapStore 2 functionalities for the creation of mapping portals. Eventually, a range of GeoSolutions case studies of MapStore 2 will be presented.
  • 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
25:29 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

geOrchestra SDI - Project Status Report

geOrchestra is the free, modular and secure Spatial Data Infrastructure software born in 2009 to meet the requirements of the INSPIRE directive in Europe. It is built on top of the latest stable versions of GeoServer and GeoNetwork. In this talk we will briefly present the geOrchestra SDI, before going through the major contributions during the previous year, to answer the following questions: * how the project moved from tainted to generic artifacts (war files, debian packages, docker images) * how to deploy a geOrchestra SDI instance in 10 minutes * how to build your robust, high performance and high availability SDI in the clouds
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
24:20 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Coordinate systems and map projections with EPSG.io

EPSG.io allows to search in a global database of spatial reference systems, datums, ellipsoids and projections to identify transformation parameters required for a software to correctly handle the geographic location in a known coordinate system. This presentation shows various functions of the search system, and demonstrates how to use it efficiently to discover and identify the right coordinate system, transform the sample coordinates online, pick a position on a map, convert units, etc. It is possible to export definitions of coordinate systems in various formats, including WKT, OGC GML, XML, Proj.4, SQL or JS and directly use these in compatible systems such as Proj4JS and OpenLayers or PostGIS. The whole system is open-source with code on GitHub, and in the background it uses OSGeo Proj4 / OGR for all the transformations and it is powered by the latest EPSG Geodetic Parameter Registry released by IOGP regularly. The open-source tools used in backend could be used called on a command line in batch operations. Ideas for future improvement and cooperation with the community will be discussed.
  • Published: 2016
  • Publisher: FOSS4G, Open Source Geospatial Foundation (OSGeo)
  • Language: English
26:37 FOSS4G, Open Source Geospatial Foundation (OSGeo) English 2016

Sat-utils: Landsat, Sentinel and the use of open raster data

Open satellite data from the US and EU have provided scientists and businesses with a wealth of data, but it can be difficult to fully easily access and process it. Recent efforts to put Sentinel-2 data on AWS S3 along with Landsat-8 has made it easier to build tools to access both data sources. At Development Seed, we are building tools called sat-utils to process and access open raster data like Landsat and Sentinel. We've expanded development on the tools to be a suite of Python libraries and command line tools for querying, downloading, managing, and processing other remote sensing data. It's been two years since we've launched the first sat-util, landsat-util, which has proven to be a valuable tool with a growing user base. sentinel-util is an tool that will provide the same easy access to data that landsat-util provides. We will discuss the processing for turning spectral band data into usable products such as color corrected RGB images, radiance data, top of the atmosphere reflectance, and various indices. We will also demonstrate the available APIs we have for open raster data: sentinel-api and landsat-api, that our client utils use for searching available metadata.
  • 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
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Version

AV-Portal 3.8.0 (dec2fe8b0ce2e718d55d6f23ab68f0b2424a1f3f)