FOSS4G 2022 general tracks

Never before have we had such a rich collection of satellite imagery available to both companies and the general public. Between missions such as Landsat 8 and Sentinels and the explosion of cubesats, as well as the free availability of worldwide data from the European Copernicus program and from Drones, a veritable flood of data is made available for everyday usage.

Managing, locating and displaying such a large volume of satellite images can be challenging. Join this presentation to learn how GeoServer can help with with that job, with real world examples, including:

• Indexing and locating images using The OpenSearch for EO and STAC protocols.
• Managing large volumes of satellite images, in an efficient and cost effective way, using Cloud Optimized GeoTIFFs.
• Visualize mosaics of images, creating composite with the right set of views (filtering), in the desired stacking order (color on top, most recent on top, less cloudy on top, your choice).
• Perform both small and large extractions of imagery using the WCS and WPS protocols.
• Generate and view time based animations of the above mosaics, in a period of interest.
• Perform band algebra operations using Jiffle.

Attend this talk to get a good update on the latest GeoServer capabilities in the Earth Observation field.

The presentation will provide a comprehensive introduction to GeoServer's own authentication and authorization subsystems.
The authentication part will cover the various supported authentication protocols (e.g. basic/digest authentication, CAS, OAuth2) and identity providers (such as local config files, database tables and LDAP servers).
It will explain how to combine various authentication mechanisms in a single comprehensive authentication tool, as well as providing examples of custom authentication plugins for GeoServer, integrating it in a home-grown security architecture.

We’ll then move on to authorization, describing the GeoServer pluggable authorization mechanism, and comparing it with proxy based solution. We will explain the default service and data security system, reviewing its benefits and limitations.

Finally we’ll explore the advanced authorization provider, GeoFence. The different levels of integration with GeoServer will be presented, from the simple and seamless direct integration to the more sophisticated external setup. Finally we’ll explore GeoFence’s complex authorization rules using:
- The current user and its roles.
- The OGC services, workspaces, layers, layer groups.
- CQL read and write filters.
- Attribute selection.
- Cropping raster and vector data to areas of interest.

The presentation aims to provide attendees with enough information to master GeoServer styling documents and most of GeoServer extensions to generate appealing, informative, readable maps that can be quickly rendered on screen. Examples will be provided from GeoSolutions training material, as well as from the OSM data directory we shared with the community.

Several topics will be covered, providing examples in CSS and SLD, including:

• Mastering common symbolization, filtering, multi-scale styling.
• Using GeoServer extensions to build common hatch patterns, line styling beyond the basics, cased lines, controlling symbols along a line and the way they repeat.
• Leveraging TTF symbol fonts and SVGs to generate good looking point thematic maps.
• Using the full power of GeoServer label lay-outing tools to build pleasant, informative maps on both point, polygon and line layers, including adding road plates around labels, leverage the labeling subsystem conflict resolution engine to avoid overlaps in stand alone point symbology.
• Dynamically transform data during rendering to get more explicative maps without the need to pre-process a large amount of views.
• Generating styles with external tools.

GeoWebCache is a popular open source tile cache server written in Java. GeoWebCache that can be used stand alone, working off a remote WMS or local tile layers, such as MBTiles. However, it's also integrated inside GeoServer, allowing simple and quick configuration, as well as transparent caching of WMS requests that happen to match a cached tile. This presentation will provide information on the latest development for the project, including:

• Performance and scalability improvements
• OGC TileMatrixSet built-in definitions
• Storage of tiles in more blob stores (Swift)
• MBTiles support
• Integration of tile caching in OGC API - Tiles (with GeoServer integration)
• Serving vector tiles and integration with the Mapbox ecosystem (e.g., style editing with Maputnik)
• Continued codebase QA efforts (code clean up, dependency upgrades and the like)

Attend this talk for a cheerful update on what is happening with this project, whether you are an expert user, a developer, or simply curious what it can do for you.

Natural Earth is a public domain map dataset available at 1:10m, 1:50m, and 1:110 million scales. Featuring tightly integrated vector and raster data, with Natural Earth one can build a variety of visually pleasing, well-crafted maps with cartography or GIS software.

GeoServer GeoCSS is a CSS inspired language allowing you to build maps without consuming fingertips in the process, while providing all the same abilities as SLD.

In this presentation we’ll show how we have built a world political map and a world geographic map based on Natural Earth, using CSS, and shared the results on GitHub. We’ll share with you how simple, compact styles can be used to prepare a multiscale map, including:
* Leveraging CSS cascading.
* Building styles that respond to scales in ways that go beyond simple scale dependencies.
* Various types of labeling tricks (conflict resolution and label priority, controlling label density, label placement, typography, labels in various scripts, label shields and more).
* Quickly controlling colors with LessCSS inspired functions.
* Building symbology using GeoServer large set of well known marks.

Join this presentation for a relaxing introduction to simple and informative maps.

GeoServer is a web service for publishing your geospatial data using industry standards for vector, raster and mapping, as well as to process data, either in batch or on the fly.
GeoServer powers a number of open source projects like GeoNode and geOrchestra and it is widely used throughout the world by organizations to manage, disseminate and analyze data at scale.

This presentation provides an update on our community as well as reviews of the new and noteworthy features for the latest releases. In particular, we will showcase new features landed in 2.20 and 2.21, as well as a preview of what we have in store for 2.22 (to be released in September 2022).

Attend this talk for a cheerful update on what is happening with this popular OSGeo project, whether you are an expert user, a developer, or simply curious what GeoServer can do for you.

GeoServer is a web service for publishing your geospatial data using industry standards for vector, raster and mapping. It powers a number of open source projects like GeoNode and geOrchestra and it is widely used throughout the world by organizations to manage and disseminate data at scale.

What can you do with GeoServer? This visual guide introduces some of the best features of GeoServer, to help you publish geospatial data and make it look great!

GeoServer has grown into an amazing, capable and diverse program - attend this presentation for:

• A whirl-wind tour of GeoServer and everything it can do today;

• A visual guide to some of the best features of GeoServer;

• Our favourite tricks we are proud of!

New to GeoServer - attend this talk and prioritize what you want to look into first. Expert users - attend this talk and see what tricks and optimizations you have been missing out on.

The OGC APIs are a fresh take at doing geo-spatial APIs, based on WEB API concepts and modern formats, including:

Small core with basic functionality, extra functionality provided by extensions
OpenAPI/RESTful based
JSON first, while still allowing to provide data in other formats
No mandate to publish schemas for data
Improved support for data tiles (e.g., vector tiles)
Specialized APIs in addition to general ones (e.g., DAPA vs OGC API - Processes)
Full blown services, building blocks, and ease of extensibility

This presentation will provide an introduction to various OGC APIs and extensions, such as Features, Styles, Maps and Tiles, DAPA, STAC and CQL2 filtering.
While some have reached a final release, most are in draft: we will discuss their trajectory towards official status, as well as how good the GeoServer implementation is tracking them, and show examples based on the GeoServer HTML representation of the various resources.

The amount of data available from drones, earth observation as well as machinery itself (i.e. telemetry data) plus the advent of cloud infrastructure has given a huge impulse to innovating the way we used to support farmers and farming in general, democratizing access to data and capabilities like never before through precision (or digital) farming solutions.

Precision farming (or digital farming) has therefore become one of main use cases for GeoServer deployments over the past years and at GeoSolutions we have worked with many clients, from NGOs to large private companies (like Bayer), from startups to organizations like DLR in helping them to support their client to make sense of data and information through GeoServer and other geospatial open source technologies at scale, in the cloud.

This presentation will condense 10 years of GeoSolutions in ingesting, managing and disseminate data at scale in the cloud for the precision farming industry covering items like:
- Proper optimizations and organization of raster data
- Proper optimizations and organization of vector data
- Modeling data for performance & scalability in GeoServer and PostGIS
- Deployment guidelines for performance and scaling GeoServer
- Styling to create NDVI and other visualizations on the fly

At the end of the presentation the attendees will be able to design and plan properly a GeoServer deployment to serve precision farming data at scale.