This workshop will introduce the MapMint framework that provides quick and easy way to build and manage geospatial web applications using Open Source, Open Standards and Open Data. The MapMint is a development framework built based on ZOO-Project, MapServer, GDAL OGR on the server side and jQuery, Bootstrap and OpenLayers on the client side. The MapMint framework is built on the principle that Everything is a Service , including data oriented services such as WMS, WFS, WFS-T, WCS and WMTS and task oriented services by deploying WPS based on existing geospatial libraries such as GDAL OGR, pgRouting, R etc.

QGIS Server has become a serious competitor in the realm of map engines for the web. Maps served by QGIS Server are designed in QGIS Desktop, and rendered by QGIS Server with the same rendering engine as QGIS Desktop. This makes it possible to leverage QGIS advanced styling capabilities, which, in itself, is a major advantage over its competitors. A number of JavaScript applications, frameworks and SaaS solutions exist for QGIS Server. QGIS Web Client 2 QWC2 , LizMap, GW3 Suite, GIS Quick are examples. QWC2 provides both an off-the-shelf web application and a development framework. QWC2 thus makes for a very flexible tool; you can start simple and easy with the demo application, and then customize your application at will, based on your needs and development capabilities. In this workshop you will learn how to set up QGIS Server, create a QWC2 application, and the different levels of customization that you can apply for web-mapping applications that suit your needs and taste.

The workshop is dedicated to professionals, researchers and students that needs to collect data from the field and use this information to update or create GIS data, but also to OpenStreetMappers as well as tourists that want to keep a geo-diary. Geopaparazzi is an easy to use and intuitive mobile application for digital field mapping for Android devices developed to support the work of the technicians in the field, offering a mapping environment with real time GPS position and the possibility to take georeferenced notes, georeferenced and oriented pictures and georeferenced sketches. Furthermore, Geopaparazzi provides a powerful support for structured data collection based on customized forms. Forms may contain combo and check boxes, text fields, pictures and sketches organized over multiple tabs. Background data on the map view can be personalized using available local data or on-line services with the possibility to use vector offline Mapsforge basemaps, Mbtiles offline databases, TMS and WMS services. Vector layers in Spatialite DB can be visualized in the map view with a style prepared on the device or directly imported in the DB from SLD style files and edited with simplified tools developed to be used on a device in the filed. In the last years we developed some applications in the HortonMachine library to support Geopaparazzi, which supply an userfriendly GUI with specific functionalities to prepare the base raster data for the map view in Geopaparazzi, prepare the overlay vector layers as Spatialite DB with the support of the styling original SLD , prepare the forms with all the detailed sections, visualize and export as shapefiles of all the data collected in the field GPS tracks, text notes, pictures and form based notes . The workshop starts with an introduction of the application, installation and description of the main features. Then a short section will be dedicated to the preparation of the input data background maps, vector layers and forms. Following these sections there is a practical testing of Geopaparazzi outdoor in the field. The last section, back in the room, is dedicated to the export of the collected data. The data collected can be visualized or used directly in a GIS environment using everyone s preferred GIS or can be synchronized with the data collected by the other surveyors of the team using the new web application Geopaparazzi Survey Server.

Learn how HERE XYZ can help with storage and management of your geo data. Diving into large open data sets, this workshop will introduce techniques and tools for interactive filtering and visualization of geo data. This session is geared towards those with basic experience in web development.

GeoNode is a web platform for the development of interoperable spatial data infrastructure. The software is designed to be easily extended, customized and integrated into existing systems. The workshop aims to present the GeoNode project to those wishing to develop their own customizations or add new features. We will introduce concepts on how to create a development environment, how to generate their own projects and custom interfaces and methods of installation in production. We will also illustrate some advanced features such as the new authentication system, the management of data access rights, and of users. In order to participate no previous knowledge of GeoServer and OGC services is required, but a basic knowledge of GIS concepts and basic data formats shapefiles, geotiff is recommended. Participants should provide their own laptop with VirtualBox and Vagrant installed and configured. This workshop would fit best in 8 hours but can be shrunk to fit 4 hours.

The Open Source Geospatial Foundation OSGeo is a not-for-profit organization whose mission is to foster global adoption of open geospatial technology by being an inclusive software foundation devoted to an open philosophy and participatory community driven development. OSGeo is hosting organisation for FOSS4G conference and takes care of the global open source geospatial community. During the workshop, we guide you through the ecosystem of OSGeo, introduce you to our e-mail communication platform, give you some hints, about how to write e-mail and how to pick the right mailing list. We also give a brief overview about our structure and basic who-is-who within OSGeo. After the workshop, you will be able to join the global geospatial community, collaborate with other people around the globe at the open source software for geospatial and help to grow our organisation.

Point clouds are the fundamental data for close range remote sensing and high resolution 3D mapping reality capture, and are often considered big, hard, data. The PDAL http pdal.io Entwine http entwine.io stack is an open source toolkit which will help you to deal with them.

eo-learn is a collection of open source Python packages that have been developed to easily access and process satellite imagery in a timely and automatic manner. We ll help participants understand the tool and walk through example workflows for doing analysis on open source Sentinel images.

This workshop provides a practical, overview of key software used within a Spatial Data Infrastructure SDI . It will be useful for a business people and techies with little or no experience with the range of Open Source Geospatial software, and who would like first hand experience with these tools. In the workshop we will use OSGeoLive and the Open Source software and sample data shipped with it to get to know the components of an SDI. We will get our hands dirty using some of the leading applications, and will introduce the other applications on OSGeoLive and when they are used. A Spatial Data Infrastructure SDI is a data infrastructure that provides geographic data and metadata, which is accessible for several users and incorporates a variety of tools to accomplish different processes. It helps make data accessible, maintainable and findable throughout your organization. We will start with different types of geographic data and learn about how to store data in a PostgreSQL PostGIS database. As second step, we will have a look at a service based infrastructure and you will learn about OGC services like OGC Web Map Service and OGC Web Feature Service. You will learn how to create these services with software like QGIS Server, MapServer or GeoServer. We will practice with QGIS server. A client is needed to view and analyse data from services. We will learn about Desktop GIS and WebGIS and load Services in QGIS and publish data to the web using OpenLayers, GeoNode and Mapbender. We will learn about metadata and how to make data traceable in a metadata system like GeoNetwork or pycsw. We will practice with pycsw and GeoNode. And you will learn how you can control the access to your data and setup a user management. After the journey through all the components you will be familiar with the concept and the advantages of a Spatial Data Infrastructure, and will know where to look for deeper insights into the more powerful features of the various tools.

With the introduction of mesh layers in QGIS, users can load meteorological, hydrological or oceanographic mesh data in QGIS directly. In this workshop, we will walk users from very first step to download data from Copernicus https atmosphere.copernicus.eu catalogue , load it in QGIS, style it, plot graphs and export it as animation https twitter.com lutraconsulting status 1093533196266946560

This workshop is addressed to beginners with OTB, who want to begin use OTB in their own remote sensing and geomatic processings. You will manipulate a Jupyter Notebook and will learn how to use OTB Python interface, interactions with other frameworks GDAL, Xarray, PostgreSQL , through a realistic processing chain. You must bring their own laptop - if you have a Linux, Windows or Mac with a Python environment 3.x properly configured, you can choose to install Orfeo ToolBox and download the workshop material datapackage and jupyter notebooks scripts - you can also download a virtual machine Linux OS, configured with all the software data required to run with Oracle Virtual Box. All the instructions and download links are here https gitlab.orfeo-toolbox.org dyoussef otb-guided-tour blob master README.md

QGIS is efficient and comfortable in everyday office life. However, data collection often begins on the field. Whether in shiver or sunshine, working outdoors requires a solution that is optimized for mobile devices. QField is the perfect companion of QGIS. Learn how to configure a project for field work and enjoyable work outside, learn how to load a project and existing data onto a device and how to integrate it back into your GDI after a trip onto the field.

We always say that anyone can contribute to our projects by fixing the documentation. Often it turns out to be harder than we had hoped for non programmers to do this. This workshop will take participants through the basics of RST and Markdown as well as the tools to work with them and show how to make a pull request to get your changes into the projects documentation. Examples will be based on GeoServer and QGIS.

In this workshop you will learn how to expand your Python skills to geospatial data. Pandas is one of the main Python libraries for manipulating and analysing structured data and one of the first things to learn if you want to get started with data science. GeoPandas is an extension to Pandas that makes working with geospatial data in Python easier. This workshop is an introduction to Pandas and GeoPandas where you will learn about - Jupyter notebooks - Pandas and GeoPandas data structures - Transforming and exploring geospatial data - Visualising data with charts and maps During the workshop we will analyse UK Crime Data with Pandas and GeoPandas in a Jupyter notebook. We first will look at the properties of geospatial data and explore the different commands. After you have learned the basics we will go through some exercises analysing UK Crime Data to explore patterns and trends and create maps of crime rates in London.

The climate change and the recent extreme events occurred all over the world draw again the attention to the natural hazards both for prevention and for management aspects. In this context, environmental modelling can help in managing geospatial data, mapping hazards and risks zones and support decision makers in building functional infrastructures with low environment impact and for a safe urban planning. In the context of modelling natural hazards hydro-geomorphology analysis is a key aspect. In the last decades many researchers tried to extract useful information from digital data and in particular from Digital Terrain Models DTM with the development of ad-hoc algorithms and tools. In the meanwhile the data availability increased and high precision DTM are available almost all over the world. There are many possibilities to analise natural hazards and to define hazard and risks zones as required by the national and international directives. The algorithms contained in the HortonMachine library are the result of more than 10 years of research, development and real application of people from different research institutes and professionals working in the field of environmental engineering. The HortonMachine library contains tools for data management raster, vector and point cloud , data collection in the field, and environmental modelling in particular related to hillslope stability, floods, debris flow and woody Large Wood floods. The workshop will cover the main aspects of the hydro-geomorphological analysis of a river basin starting from a DTM. The aim is to evaluate the maximum discharge that can occur in a section for a given precipitation or using statistical information derived from the Intensity Duration Curves. Some generic geomorphological analysis on the DTM will be performed that will be used to delineate the stream network and the watershed closed at the desired section. The last step will be the evaluation of the hillslope stability and of the maximum discharges using the shallow stability model Shalstab and the semi distributed model Peakflow integrated in the HortonMachine library. The expected participant is the average GIS user that wants to approach new tools for environmental modelling related in particular to natural hazards. The user can be a professional, a person of the public administration or even a decision maker who has average knowledge of GIS and GIS data and wants to approach this topic. The HortonMachine library is a package of applications and tools and does not have a specific GIS support. The visualization of the data and results can be done with anyone s preferred GIS.

Mapbender is a content management system for geospatial data services and map applications. With Mapbender you can create applications without writing a single line of code. Mapbender is a flexible client for OGC services. Mapbender is based on Symfony, JQuery and OpenLayers. Mapbender has an administration web interface to do all the work. Mapbender helps you to set up a repository for your OWS Services and to create individual applications for different user needs. An application can provide search modules, digitizer functionality, print more. You have access control and can provide applications for defined users and groups. In this workshop you will learn how to create web applications with Mapbender. We will create a great application for Bucharest with local WMS Services, search and digitize functionality.

GRASS GIS https grass.osgeo.org exists for more than 30 years and provides a very large and diverse set of state-of-the-art tools for the analysis of spatial data. Less known by many, remote sensing tools have been part of it almost from the beginning. GRASS GIS provides a series of imagery analysis tools for pre-processing radiometric correction, cloud detection, pansharpening, etc , creating derived indices vegetation indices, texture analysis, principal components, fourier transform, etc , classifying management of training zones, different classifiers, validation tools , and producing other derived products such as evapotranspiration and energy balance models. Next to these tools for satellite images, other tools exist for the handling of aerial photography for creation of orthophotos, and for the import and analysis of Lidar data. In addition to these tools, efforts have gone into integrating current state-of-the-art methods such as object-based image analysis OBIA and machine learning. A complete toolchain exists to segment images using different algorithms, to create superpixels, to collect statistics characterizing the resulting objects, and to apply machine learning algorithms for classification. New modules also include unsupervised segmentation parameter optimization and active learning. Options for pixel-based classification have also been enlarged to a host of machine learning algorithms. In this 4-hours hands-on workshop, users will learn how to use the entire OBIA toolchain in order to create a classification of a very-high resolution image. We will go through all the steps from segmentation all the way to classification. All the steps will be run via the GRASS GIS GUI, but we will also demonstrate how these tools can be used in an automated fashion through scripts.

This workshop aims to demonstrate the ability of Orfeo ToolBox https www.orfeo-toolbox.org and SNAP http step.esa.int main toolboxes snap tools to extract information from Copernicus Sentinel 1 2 Data. Theses open source tools provided several algorithms to prepare and to perform EO data pixel based classification. The following workshop will Present the tools and their interactions Present and Visualize Copernicus data into SNAP Perform a step by step EO data preparation Run crop classification and analyze results.

Oskari www.oskari.org and GitHub github.com oskariorg is an open source map application platform. This workshop will demonstrate how easy setting up web based services with an integrated map component can be. Participants of this workshop will learn hands-on how to utilize Oskari embedded maps with the RPC API, what to consider when setting up Oskari and how to maintain an installation content-wise. Level of required skill 1-2 basics of JavaScript

The workshop will cover basic some functions based on the Dijkstra Algorithm to get a route, route s costs in distance units, in time units. will give some basic knowledge of what the back-end functions on the database should look like and will create a small front end to use the back-end functionality. We will use the FOSS4G Bucharest area.

This workshop goes through the installation and configuration of QGIS Server with particular focus on Python API for server plugins and embedding.

A hybrid architecture of proprietary components ArcGIS, FME, Oracle and open source components OpenLayers, OGR, QGIS, GeoServer is common in many organizations. But it has its challenges. Data and map projects are hard to share between departments, due to proprietary formats and encodings. In this workshop we introduce you to a set of best practices and tools that will facilitate better interoperability within the organization and with external partners. Ground principle is the adoption of OGC standards, which are generally supported in open and proprietary software. Alternatively various plugins are available to support these standards. GeoCat Bridge is such a tool, an ArcGIS Desktop plugin which gets you, as an ArcGIS user, easily started with OGC standards and the OSGeo stack. After this workshop you will be able to identify challenges in any hybrid data infrastructure, have awareness how to prevent and solve them. If you bring a device having ArcGIS Desktop, you will also publish your first map from ArcMap to GeoServer and visualize it in OpenLayers without touching a line of code.