FOSS4G 2021 Workshop

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Monday, Sept. 27, 2021

Tuesday, Sept. 28, 2021

09:00

240min

A gentle introduction to actinia: geoprocessing in the cloud

Markus Neteler, Carmen Tawalika

Actinia (https://actinia.mundialis.de/) is an open source REST API for scalable, distributed, high performance processing of geographical data that mainly uses GRASS GIS for computational tasks. Core functionality includes the processing of satellite imagery (both single scenes and time series), as well as the processing of raster and vector data, even from external sources. The existing big Earth observation open data pools (Landsat, Sentinel, etc.) are growing day by day along with a plethora of other sources. Actinia is designed to follow the paradigm of bringing algorithms to the data, saving users from locally downloading and processing huge amounts of data. Actinia is an OSGeo Community Project since 2019. It can be deployed with docker-swarm on a workstation, and also in OpenShift and kubernetes.

In this workshop we will give a short introduction to REST API concepts and some cloud processing background. This is followed by an introduction to actinia processing along with hands-on to get more familiar with the topic by means of exercises (from terrain analysis to QGIS visualization; from aerial image to classification with vector export; controlling actinia from a GRASS GIS session). This workshop is geared towards those with basic experience in geospatial analysis. And we are looking forward to enlarge the actinia community!

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Chavela Vargas

09:00

240min

Digital field mapping for everyone

Andrea Antonello

The workshop is dedicated to professionals, researchers and students that needs to collect data in the field. It will walk participants through the use of the mobile application SMASH for Android and IOS devices and show how to synchronize the survey with a centralized survey server.

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Frida Kahlo

09:00

240min

GeoNetwork Orientation Workshop

Paul van Genuchten, Jo Cook

GeoNetwork is a web oriented search index for datasets, implementing industry standards so it can be connected to a variety GIS tools. In this workshop we're going to look at some use cases in data discovery. Locate existing datasets within your organization, organizing them, expose them through the GeoNetwork search index and Query the index within QGIS.

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Violeta Parra

09:00

240min

Geospatial analysis using python 101

krishna lodha

This workshop is ideal for someone who has recently started using python and exploring the possibilities of it in the GIS industry. This is the beginning of complex spatial scripting

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Mercedes Sosa

09:00

240min

Getting started with GeoServer: data configuration and styling

Andrea Aime

Learn the basics of GeoServer administration, data configuration, and styling with a hands on approach using GeoSolutions's training material and the expert assistance of one of our teachers.

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Rigoberta Menchú

09:00

240min

Human-in-the-loop Machine Learning with GroundWork and STAC

James Santucci, Adeel Hassan

Data management and interoperability is a challenge when solving geospatial problems with machine learning. Existing ML tools and standards outside of GIS are inadequate when dealing with the idiosyncrasies of geospatial data. Additionally, data acquisition and labeling are expensive processes. Human-in-the-loop workflows can help machine learning models improve more quickly.

In this workshop attendees will learn how to use data compliant with the STAC specification to organize and create training data, models, and predictions to power applications. Workshop attendees will learn what STAC is and how to use tools like PySTAC, Raster Vision, Franklin, and GroundWork to create a human-in-the-loop AI pipeline from beginning to end.

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María Remedios del Valle

09:00

240min

Introducción a gvSIG Desktop

Mario Carrera, Mateo Boudon

El objetivo de este taller es conocer las principales funcionalidades de gvSIG, cómo crear proyectos nuevos, crear vistas, añadir cartografía y gestionar los sistemas de referencia. También se aprenderá a manejar las tablas de atributos. Se mostrarán varias herramientas de edición y geoprocesamiento, y finalmente se trabajará en la creación de mapas, para poder imprimir o exportar a pdf.

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María Elena Walsh

09:00

240min

Make Sense of Your Big Data with GeoWave

Rich Fecher, Adam Cook

Are you overwhelmed by a firehose of data and want to tap into its potential? This workshop could be exactly what's needed to overcome your Big Data crisis. This workshop will provide the introduction to GeoWave as well as interactively work through the full QuickStart Guide.

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Nemonte Nenquimo

09:00

120min

Open EO Mapping of SDG Indicators at Refugee Settlements

Jamon Van Den Hoek, Hannah K. Friedrich

The global refugee population has never been as large as it is today with at least 26 million refugees living in over 100 countries. Refugee settlements are often thought to be a temporary solution, however refugees typically remain in asylum for over a decade. Despite their large population and lengthy residence, refugees are routinely excluded from national censuses and representative surveys, and have broadly been overlooked in SDG evaluations. Open EO data offer untapped potential for improving our knowledge of refugee settlement dynamics and SDG progress driven by refugee-led development intervention, productive relationships with nearby hosting communities, and external humanitarian relief. Since EO-based assessments of SDG indicators are often based on multiple geospatial inputs, there is potential for inappropriate or biased input data to lead to harmful data cascades and flawed interpretations. We must therefore be cautious about using available EO and geospatial data in data-scarce or otherwise complex settings with vulnerable populations. Building on NASA GEO Human Planet-funded research, this workshop offers a primer on SDG mapping in refugee settlements with a focus on SDG 11 (Sustainable Cities and Communities) and SDG 15 (Life on Land) using a case study of three refugee settlements in Uganda and Google Earth Engine. We will discuss the need for refugee inclusion in SDG progress and monitoring efforts, provide an overview of relevant EO and EO-based geospatial datasets for mapping SDG 11 and 15 indicators, and guide participants in interrogating remote SDG assessments in refugee settlements.

Group on Earth Observations 2

09:00

240min

PostgreSQL/PostGIS for Beginner

Astrid Emde

PostgreSQL is a powerful, open source object-relational database system. It can be extended with PostGIS which allows you to store and handle geospatial data in the database.
This combination is very successfull and allows you many possibilities.

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Berta Cáceres

09:00

240min

Publish your QGIS project (layers, forms, print layout...) on the internet using Lizmap to create a Web map application

Etienne Trimaille

Lizmap is a opensource server application to publish QGIS project on the web without any coding skills needed.
It's using QGIS Server in the backend so users have the same rendering between their
QGIS Desktop and the web version of their project.

QGIS Server and Lizmap are reading QGIS project to publish layers with their legend, forms, print layout, layer relationships... Some additionals Lizmap configuration can be added to have dataviz capabilities, decide or not to publish the attribute table or the configure the feature filter form. No coding skills are required, all the configuration is done using QGIS Desktop user interface.

For this workshop, we will provide you the online instance of Lizmap. You only need to have QGIS 3.16 (LTR version highly recommended) and a FTP Client. More detail will be provided later how the workshop will work.

The project is hosted on GitHub https://github.com/3liz/lizmap-web-client/

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Gabriela Mistral

09:00

240min

Real Spatial Data Versioning & Collaboration with Kart

Robert Coup, Hamish Campbell

Kart (https://www.kartproject.org — formerly Sno) is a powerful new open-source and cross-platform version control system for geospatial vector and table data. Designed to enable collaboration and cross-vendor workflows, Kart is built on the power of Git. Working copies are common GIS files and spatial databases, so you can edit data directly in GIS software without plugins.

The workshop will introduce Kart and walk through installing; creating new repositories by importing open data sets; editing and committing data changes; reviewing history; cloning & pushing datasets; using and understanding different working copy formats; exporting repository data; managing metadata, licenses, and file attachments; performing branching and merging; and collaborating with other users.

To participate, no experience with Kart, Git or other version control systems is required, but a basic knowledge of GIS concepts and data formats is recommended. A Windows, macOS, or Linux computer that has QGIS installed and can install Kart is required.

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Isabel Allende

09:00

240min

Working with OpenLayers

Andreas Hocevar, Tim Schaub

In this hands-on workshop, we'll take you from scratch to deploying a web mapping application with OpenLayers. The workshop is divided into a series of modules that introduce you to development with the latest version of OpenLayers. We'll start out by getting you set up with a development environment and walk through the available learning resources. The modules get more advanced as we walk through editing vector data, working with mobile devices, introduce custom rendering with WebGL, learn how to style vector tiles, and manipulate data with raster operations.

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Juana Azurduy

13:00

60min

Lunch

Group on Earth Observations 2

14:00

240min

ARLAS EXPLORATION FOR GEO-BIG DATA ANALYSIS

Mohamed HAMOU

Gisaïa is a geospatial intelligence company based in France. Gisaïa developed ARLAS Exploration, and has built a robust geo-big data ecosystem to continuously update and run it. ARLAS Exploration is open-source and OGC compliant allowing users to integrate it with GIS platforms lending it to high interoperability. This promotes full access to all types of geospatial data.
The team at Gisaïa ensures regular and comprehensive documentation of the ARLAS Stack, availed on arlas.io and Github. ARLAS Exploration is a powerful geoanalytics platform that developers can build on and data scientists can deploy immediately to go into the depths of their geo-big data. With this workshop Gisaïa will provide a future-centric geoanalytics tool for participants to easily conduct geo-big data analytics.

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Chavela Vargas

14:00

240min

Automatización de tareas utilizando el Modelador de Procesos de QGIS

Felipe Sodré M. Barros, Ariel Anthieni

Este taller pretende enseñar de manera lúdica como utilizar el Modelador de Procesos de QGIS para concatenar varios algoritmos de diferentes librerías e inclusive de plugins, para automatizar procesos o tareas repetitivas, buscando optimizar tiempo y recursos en la realización de análisis espaciales por parte del usuario.

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María Elena Walsh

14:00

240min

Baremaps: contextual mapping with vector tiles made easy

Andrea Borghi

Baremaps is an open-source framework for creating vector tiles. It assists the cartographer in customizing the content of the vector tiles, iterating on the associated style. Once the vector tiles and associated stylesheet are ready, Baremaps can be used to serve them dynamically or to generate them and publish them on cloud object storage. This process is critical to build robust and dynamic web mapping experiences.

In contrast with bitmaps, vector tiles are rendered on the device of the user, which enables maps to match the context of the users (e.g. commuting) and to dynamically adapt when it changes (e.g. entering a building). A web cartographer can use baremaps to develop both the style and data content at the same time using the embedded development server. During this workshop, we will create a map based on OpenStreetMap data, we will include a third-party dataset in the vector tiles and demonstrate the creation of a dynamic web mapping experience. Finally, we will demonstrate how to publish the vector tiles on Amazon S3 and serve them with a content-delivery network.

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Juana Azurduy

14:00

240min

From your data to vector tiles in your web&mobile app

Adam Laza

The goal of this workshop is to go through all aspects of geospatial application development from data processing, vector tiles generating and publishing to writing the application code.
We explore practically how to use popular open-source projects such as OpenMapTiles, PostGIS, QGIS, MapLibre GL JS and Native to build a complete map application.

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Frida Kahlo

14:00

240min

Geospatial Machine Learning with Radiant MLHub Open Training Data in Python

Jon Duckworth

Radiant MLHub is an open library for geospatial training data to advance machine learning applications on Earth Observations. It serves as a resource for a community of practice, giving data scientists benchmarks they can use to train and validate their models and improve its performance. Datasets include pairs of imagery and labels for different ML problem types including image classification, object detection, and segmentation. Radiant MLHub catalogs datasets using a SpatioTemporal Asset Catalog (STAC) spec and exposes them through a common API

This workshop will be a hands-on tutorial in using the Radiant MLHub Python client to download datasets and train a basic machine learning model. A working knowledge of Python programming is required and some familiarity with training machine learning models in Python is recommended.

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Group on Earth Observations 2

14:00

240min

Integrating QGIS, Remote Sensing, ODK and JOSM for Urban Planing

Shabani Magawila

Urban Planning and Geographical Information System are two terms interrelated. Before doing Urban Planning there some issues to consider, for example
- Topography/Landform
- Vegetation of an area
- Water table of an area
Therefore in this workshop, the audience will benefit from how to use GIS in performing accurate Urban Planning. Various open-source software will be used: QGIS, JOSM,ODK, and Satellite Imagery

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Mercedes Sosa

14:00

240min

Let's version some data

Augustin Trancart, Vincent Picavet

Sometimes data is not enough, and we need metadata : we want to know how and by whom it has been produced, altered, updated.

We also want to track history of the data, be able to go back in time, and even sometimes deal with different versions of the same data.

There are numerous technical solutions to cover these needs. We will present some opensource solutions and the associated ecosystem : PostgreSQL mechanisms (triggers), qgis-versioning, pg-version, fastversion and others.

We will put this into practice by:

reviewing uses cases and the solutions most adapted to each of them, from simple timestamps to full-fledged history maintenance
testing basic usage of these tools
use some of these tools (for instance qgis-versioning) to try to work collaboratively on a map.

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Isabel Allende

14:00

240min

OGC APIs, an introduction with GeoServer

Andrea Aime, Alessio Fabiani

This workshop will get your started with OGC APIs, and their implementation in GeoServer, covering services such as OGC API Features, OGC API Styles, OGC API Tiles, OGC API Maps, their extensions, all with practical examples from GeoServer own implementations.

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Rigoberta Menchú

14:00

240min

OTB Guided Tour : count the islands !

Yannick TANGUY

Orfeo ToolBox (OTB) is a reference remote sensing library, that provides tons of applications to deal with remote sensing images (satellite or UAV images) and extract valuable information into your GIS software.
This workshop is addressed to beginners with OTB, who want to start to 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.
During our "guided tour", you will use extracts of Sentinel-2 images over Morbihan gulf in south Brittany (France) and compute water masks to count the many islands in that area.

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Nemonte Nenquimo

14:00

240min

Setting up a Spatial Data Infrastructure (SDI) with Open Source Software using OSGeoLive

Astrid Emde, Angelos Tzotsos, Enock Nyamador

This workshop provides a practical, overview of key software used within a Spatial Data Infrastructure SDI.

It will be useful for 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.

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María Remedios del Valle

14:00

240min

The pgRouting Workshop

Vicky Vergara, Rajat Shinde

The workshop will cover basic functions based on the Dijkstra Algorithm to get a route.
Route's costs can be in distance units, in time units in money units.
Get some basic knowledge of what the back-end functions on the database should look like and create a small front end to use with the back-end functionality.
We will use the FOSS4G Argentina area with OSGeoLive 14.

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Berta Cáceres

14:00

240min

Using Leafmap for Geospatial Analysis and Data Visualization

Qiusheng Wu

Leafmap is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. It is built upon a number of open-source packages, such as folium and ipyleaflet (for creating interactive maps), WhiteboxTools and whiteboxgui (for analyzing geospatial data), and ipywidgets (for designing interactive graphical user interface). Leafmap provides many convenient functions for loading and visualizing geospatial data with only one line of code. Users can also use the interactive user interface to load geospatial data without coding. Anyone with a web browser and Internet connection can use leafmap to perform geospatial analysis and data visualization in the cloud with minimal coding.

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Violeta Parra

14:00

240min

Workshop on satellite image time series analysis for big Earth observation data

Prof Dr Gilberto Camara

This workshop provides a hands-on introduction to sits, an open-source R package for satellite image time series analysis using machine learning. The package supports the complete cycle of data analysis for land classification, including data management, validation and quality assessment, filtering, classification, post-processing, and accuracy estimates. Its API provides a simple but powerful set of functions. The package works with analysis-ready data collections available in different cloud services such as AWS, Microsoft, and Digital Earth Africa. It supports a large number of machine learning and deep learning techniques, such as random forests, support vector machines, extreme gradient boosting, multi-layer perceptrons and 1D convolutional neural networks. It includes methods for sample quality control, model validation and accuracy assessment. The software is capable of processing large data sets (100-500 million ha) in an efficient matter. Software and documentation are available at github (https://github.com/e-sensing/sits).

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Group on Earth Observations

09:00

240min

Building Relational & Effective Partnerships with Indigenous Communities

James Rattling Leaf Sr.

This workshop led by the GEO Indigenous Alliance will present recommendations for working with Indigenous communities. Building long-term relationships with Indigenous communities is the foundation upon which educational programs, research collaborations, and other initiatives must be jointly developed. This workshop will define best practices in approach and process to establish and sustain effective collaborations with Indigenous communities that respect sovereignty and self-determination and how Indigenous Knowledge Systems can be incorporated into our understanding of science. These practices will have a lasting impact on the geospatial community in terms of equity, diversity, and inclusion.

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Group on Earth Observations 2

09:00

240min

Building a cartographic web application with pg_tileserv and pg_featureserv

Augustin Trancart, Vincent Picavet

There are some new GIS kids on the block : pg_tileserv and pg_featureserv are GO components allowing you to serve GIS data to build cartographic web applications.

Pg_tileserv let you take any data stored in PostGIS, and easily stream vector tiles to the web.

Pg_featureserv also takes your data from PostGIS. It implements the latest OGC API for Features ( OGC APIF ) standards and make it simple to provide a interoperable API for your front-end application.

These components take full advantage of the underlying PostgreSQL/PostGIS database to provide efficient features with a very simple mechanism.

Easy to set-up, easy to use and powerful, they are now part of the de-facto stack for GIS web developers.

In this workshop, we build a full cartographic application from scratch, putting pg_tileserv and pg_featureserv into action. Our front-end GUI will be based on OpenLayers and we will see how to code a web cartographic app step by step :

data integration into PostGIS
Setting up pg_tileserv
A web cartographic app with OpenLayers
Advanced usage of pg_tileserv
Enriching the application with OpenLayers
Leveraging pg_featureserv
Enjoy the result !

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Gabriela Mistral

09:00

240min

Doing Geospatial with Python

Tom Kralidis, Angelos Tzotsos, Paul van Genuchten, Luís de Sousa, Francesco Bartoli, Just van den Broecke

With a low barrier to entry and large ecosystem of tools and libraries, Python is the lingua franca for geospatial development. Whether you are doing data acquisition, processing, publishing, integration or analysis, there is no shortage of solid Python tools to assist in your daily workflows.

This workshop will provide an introduction to performing common GIS/geospatial tasks using Python geospatial tools such as OWSLib, Shapely, Fiona/Rasterio, and common geospatial libraries like GDAL, PROJ, pycsw, as well as other tools from the geopython toolchain. Manipulate vector/raster data using Shapely, Fiona and Rasterio. Publish data and metadata to OGC web services using pygeoapi, pygeometa, pycsw, and more. Visualize your data on a map using Jupyter and Folium. Plus a few extras in between!

The workshop is provided using the Jupyter Notebook environment with Python 3.

Mercedes Sosa

09:00

240min

GRASS GIS: From Beginner to Power User

Vaclav Petras, Anna Petrasova

Do you want to use GRASS GIS, but never understood concepts like location, mapset or computational region? Or perhaps you used GRASS GIS already but you wonder what are the latest tips and tricks? In this workshop, we will explain and practice these concepts and answer questions more advanced users may have. We will help you decide when to use graphical user interface and when to use the power of the command line. We will go through simple, yet useful examples of vector, raster, and image processing functionality. Building on these examples, we will employ Python scripting to parallelize our workflows to get you ready for your next big data project. We aim this workshop at absolute beginners without prior knowledge of GRASS GIS, but we hope it can be useful to current users looking for deeper understanding of basic concepts or the curious ones who want to try the latest additions to GRASS GIS.

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Frida Kahlo

09:00

240min

Introduction to GeoNode, the Open Source geospatial CMS

Alessio Fabiani

GeoNode is an open source 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 will provide an introduction to GeoNode starting with an overview of its functionalities for managing, data, users and documents covering also more advanced concepts.
The workshop will also cover advanced administration and configuration functionalities covering the administration panel, management commands, monitoring and analytics and much more.

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Violeta Parra

09:00

240min

Introduction to MapStore, mashups made simple

Lorenzo Natali

The workshop provides a full overview of MapStore functionalities and framework touching every aspect of the system, from the pure product functionalities to the framework architecture, describing how to install and customize your MapStore installation or create your own adding your code.

Topics Covered during the workshop are as follows:
- Introduction to the MapStore product and its main functionalities
- Introduction to the MapStore framework, with description of the various building blocks
- Installation and configuration of the MapStore framework with emphasis on
- Creation of standard GeoPortals
- Embedding MapStore in existing websites
- Creation of a new plugin for the MapStore framework

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Rigoberta Menchú

09:00

240min

Lake water quality monitoring with open source tools: An automatic approach.

Alba German

In this workshop we will explore the use of GRASS + R for downloading and processing Sentinel 2 satellite images, in order to generate automatic outputs for monitoring water quality. With the use of the GRASS “i.sentinel” toolset, the power of GRASS “r.mapcalc” and the great graphical outputs of R package “tmap”, it is possible to generate a semi automatic workflow that is very useful for various spatial applications. In this case, we focus on the problem of eutrophication that affects many water bodies in the world due to the accelerated increase in organic pollution.

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Juana Azurduy

09:00

240min

SatProc: an open-source library to train and deploy Deep Segmentation Neural Nets for geospatial imagery.

Maria Roberta Devesa, Damián Emiliano Silvani

Training deep learning models with geospatial imagery is hard. You need to transform the imagery to feed the neural network taking into account the geospatial side of the data. In this workshop, we show how to easily train and deploy deep segmentation networks like U-NET with geospatial imagery using the open-source library SatProc.

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María Elena Walsh

09:00

240min

Seamless fieldwork thanks to QField

Marco Bernasocchi, Mathieu Pellerin

QField is the mobile data collection app for QGIS with more than 100K active monthly users and well over 350K downloads.

Learn how to set up your project, quickly deploy it to your mobile devices and get field data back to your office thanks to QFieldCloud, the hosted service offered by OPENGIS.ch.

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Nemonte Nenquimo

09:00

240min

Time to do the work: Making Open EO Open to Everyone

Emily Adams

It is important to acknowledge that there is a lot of work to do to ensure “Open EO” means open to everyone.

The EO science community is predominantly male and from the Global North. This can create services that have an unintentional bias against or blindness to women and minorities such as indigenous peoples, LGBTQI, youth, etc. Agricultural practices, water quality and quantity, land use and management, and other key topics across the GEO engagement priorities all have implications on gender and minorities. Being able to understand and incorporate these communities’ needs into Open EO services is imperative, and a key opportunity for sustainable development. We propose a workshop that will illuminate attendees’ awareness to diverse needs and perspectives, demonstrate tools to support inclusive geospatial service development, and showcase successful integration of gender and minority needs into Open EO services, particularly with respect to end user decision making capabilities

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Group on Earth Observations

09:00

240min

Visualising 3D trajectories with QGIS

Johannes Kröger

The free and open-source GIS application QGIS offers a wide range of visualisation and export options. By the use of plugins one can extent these capabilities in many ways. In this workshop you will learn how trajectories, like movement recordings of humans, animals or machinery, can be turned into interactive 3D visualisations and presented online with QGIS.

The free plugin qgis2threejs provides most of these possibilities with a focus on web export, and will be the main driver of this workshop. Optionally, if the participants wish to, we will take a brief look at the pros and cons of QGIS' native 3D view as well.

Example data will be provided. You are invited to bring your own tracks (GPX or in any other standard format that QGIS can read) to the workshop! We will download additional data for elevation, a basemap and contextual features during the workshop from open data sources.

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Chavela Vargas

13:00

60min

Lunch

Group on Earth Observations 2

14:00

240min

G3W-SUITE: publish and manage QGIS projects on the web. Deploy and administration.

Walter Lorenzetti

G3W-SUITE is a modular, client-server application (based on QGIS-Server) for managing and publishing interactive QGIS cartographic projects of various kinds in a totally independent, simple and fast way.
The application can organize cartographic contents in a hierarchic way, helping the content management in structured contexts.
Accessing administration, consultation of projects, editing functions and use of different modules are based on a hierarchic system of user profiling, open to editing and modulation.
The suite is made up of two main components: G3W-ADMIN (based on Django and Python) as the web administration interface and G3W-CLIENT (based on OpenLayer and Vue) as the cartographic client.
They communicate through a series of API REST which makes them totally interchangeable.
The application is compatible with QGIS 3.16 LTR and it is based on strong integration with the QGIS API.
G3W-SUITE integrates the QGIS Python API totally, the suite itself works as a WMS, WFS, WCS server. The QGIS APIs are used to access vector data both in reading and in writing (editing module), they are also used to filter the data using the QGIS expression system or through direct queries on the provider (for example for PostgreSQL data provider ) in a different way for different users or groups of users
A particularly advanced function is related to online editing and to the possibility of easily creating web cartographic management systems by defining the various aspects (attribute form, wediting widget, constraints, default value…) at the level of the QGIS project.
Geographical and alphanumeric filters (based on individual users) can be defined for the visualization and editing aspects.
Another aspect of considerable interest is the strong integration with the QGIS DataPlotly plugin.
The plots created with the plugin and saved as xml, can be uploaded to the suite for viewing them on the client side.
The plots can be dynamically filtered based on the elements displayed in the visible map area or based on the selected features
G3W-SUITE is released on GitHub with Mozilla Public Licence 2.0.

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Chavela Vargas

14:00

240min

GeoNode, a developers introduction

Alessio Fabiani

The workshop aims to present the GeoNode project to those wishing to develop their own customizations or add new features to developed sophisticated geospatial platforms leveraging on GeoNode

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Violeta Parra

14:00

240min

Hands-on workshop using open-source Python software for scalable analysis of geospatial data

Scott Henderson

Bring your data and laptop to this 4-hour virtual hands-on workshop sponsored by the Pangeo project! Pangeo is first and foremost a community promoting open, reproducible, and scalable science (http://pangeo.io/). Workshop participants will learn emerging best-practices for interactive analysis of large volumes of multidimensional earth observation data, such as high-resolution stacks of multispectral imagery and synthetic aperture radar products.
We will focus on data discovery with SpatioTemporal Asset Catalogs (STAC), data loading with Cloud-optimized formats (Cloud-Optimized Geotiff, ZARR), and scalable analysis with Xarray and Dask Libraries. These workflows are based entirely on free and open-source software and work anywhere - whether you’re using a laptop or connecting to public data hosted by major cloud providers.
This workshop will assume an intermediate level understanding of the Python programming language. We will have tutorials on fundamental Python geospatial software and focus on applying newly-learned skills to datasets that participants utilize in their own work. Instructors will be on hand to help out.

Learning Objectives

Recognize OSS Python software libraries and cloud-hosted infrastructure that comprise the Pangeo ecosystem and explain how they work together
Analyse remote public datasets with Xarray
Work efficiently with very large geospatial datasets using Dask
Interact with the online Python scientific community

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Mercedes Sosa

14:00

240min

Open Data Cube (ODC) Google Sandbox Workshop

Brian Killough

This short (1 hour) workshop will demonstrate the new Open Data Cube (ODC) Google Sandbox. This free and open programming interface connects users to Google Earth Engine datasets and allows execution of Python application algorithms using Google's Colab notebook environment. This tool demonstrates rapid creation of science products anywhere in the world without the need to download and process the satellite data. Some example applications include: scene-based cloud statistics, custom cloud-filtered mosaics, spectral index products including vegetation fractional cover, historic water extent, and vegetation land change. Basic operation of the tool can support many users for small-scale analyses and training and can be further scaled to address the U.N. Sustainable Development Goals (SDG). This activity is supported by CEOS and the Open Earth Alliance (GEO community activity).

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María Remedios del Valle

14:00

240min

Physically-Based Hydrologic Modeling Using GRASS GIS r.topmodel

Huidae Cho

This workshop will introduce r.topmodel (Cho 2000), the GRASS GIS module for a physically-based hydrologic model called TOPMODEL (Beven 1984). r.topmodel is a C implementation of the original FORTRAN code by Beven and tightly integrated with GRASS GIS. We will discuss step-by-step instructions for preparing input data for r.topmodel, running it, calibrating its model parameters, and, finally, post-processing the model outputs.

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Frida Kahlo

14:00

240min

Universal data management for all geospatial data in TileDB

Mike Broberg, Julia Dark, Norman Barker, Chloe Taub

Have you ever struggled with large amounts of geospatial data, huge volumes of files and many custom formats? Have you spent hours — even days — converting disparate formats and wondering how to combine data from different sources? Then this workshop is for you!

The solution? Forget about files, focus on arrays. With multi-dimensional arrays you can model any data type. The open-source TileDB storage engine uses arrays to store all data, with support for both sparse and dense datasets, a range of indexing options, and an analysis-ready format designed for cloud object storage. Come along to this workshop to learn how to get started with TileDB from practical examples using geospatial data.

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Juana Azurduy

14:00

240min

Virtual Event Co-design Workshop: Learnings and Best Practices for Meaningful Online Sessions with Open Geospatial Communities

Arnalie Vicario, Can Unen, Pete Master, Sophie Mower

The Workshop aims to gather and engage different open geospatial communities and members to crowdsource learning experiences and best practices in designing and/or co-designing virtual sessions (such as mapathons, workshops, webinars, etc) to create meaningful engagement and open dialogues for and with the participants. This is also a venue to discuss how we can ensure inclusive and accessible online sessions for all.

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María Elena Walsh

14:00

240min

Workshop: Creating a Spatial GraphQL API with PostGIS and Postgraphile

Luis Calisto

Not everyone fully understands yet what GraphQL is all about, or why it is seen by many as the successor of REST. The goal of this workshop is to explain why this bold statement has been made on a hands-on demo. While showing GraphQL features we’ll demonstrate how they can be perfectly implemented on top of an existing PostgreSQL/PostGIS spatial database using PostGraphile. We’ll discuss pros and cons of this technology over REST, highlighting a few important points in which they differ.

During the workshop we will:

Learn how to use, create and manage a fully spatial GraphQL API using PostGraphile and a common, existing PostgreSQL/PostGIS spatial database;
Publish spatial and non-spatial data;
Create processing/analysis endpoints that rely on PostgreSQL/PostGIS functions;
Secure the data with Row-Level Security (RLS) set at the database level and transpose those credentials to the API in a straightforward way. Users can then make use of JWT tokens to authenticate.
Extend the GraphQL API using plugins that can be used to create complex endpoints that need to be created at the server level with NodeJs and Javascript or Typescript.

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Gabriela Mistral