uk: Комп'ютерні науки

description: The status, recent development and roadmap of the open-source community driven project for hardware accelerated rendering of maps powered by vector tiles in a web browser (GL JS) and with native code (Android, iOS, etc). Learn how to migrate with practical source code samples. After Mapbox announced the closure of Mapbox GL JS, their JavaScript library for displaying maps using WebGL, the community around Hacker News gathered on Slack and GitHub and made a collective decision to maintain and further develop the last open-source version of the software and build a 100% free alternative of the project. This is how the MapLibre was born. As a group of individuals, we coordinate the effort and synchronize contributions from multiple teams (MapTiler, Amazon, Facebook, Elastic, Stadia, Microsoft, Jawg, GraphHopper, Toursprung, etc) - working on JavaScript and Native code implementation of the renderers and related ecosystem. Multiple releases have been published, the project has CI checks for contribution, regular steering committee meetings, updated support for TypeScript, several bindings such as ReactJS, the Metal rendering on iOS is implemented (as Apple decided to deprecate OpenGL ES), and many issues and bugs has been fixed. There is plenty of ideas what to do next - from implementation of 3D terrain rendering, to support of non-Mercator map projections, or tighter integration with Leaflet, and much more. Let's explore the current status of the project, learn how to use MapLibre in your own software with practical code samples, and how to join and contribute to the collaborative development and participate on a shared roadmap.

uk: вхід без авторизації

name: MapLibre project: community driven Mapbox GL fork


MapMint: The service-oriented platform

Gérald Fenoy

type: Person

cs: Informatika

de: Informatik

fi: tietojenkäsittelytiede

uk: Комп'ютерні науки

en: Computer Science

fr: Informatique

da: Datalogi

es: Ciencias de la Computación

nl: Informatica

cs: Technické vědy

de: Ingenieurwissenschaften

fi: tekniikka

uk: Інженерія

en: Engineering Sciences

fr: Ingénierie

da: Ingeniørvidenskab

es: Ingeniería

nl: Engineering

description: MapMint is a comprehensive task manager for publishing web mapping applications. It is a robust open-source geospatial platform allowing the user to organize, edit, process and publish spatial data to the Internet. MapMint includes a complete administration tool for MapServer and simple user interfaces to create Mapfiles visually. MapMint is based on the extensive use of OGC standards and automates WMS, WFS, WMT-S, and WPS. All the MapMint functions run through WPS requests calling general or geospatial web services vector and raster operations, Mapfiles creation, spatial analysis and queries, and much more. MapMint server-side is build on top of ZOO-Project, MapServer, GDAL, and numerous WPS services written in C, Python, and JavaScript. MapMint client-side is based on OpenLayers and Jquery and provides user-friendly tools to create, publish and view maps. In this presentation, MapMint architecture and main features will be presented, and its modules: Dashboard, Distiller, Manager, and Publisher described with an emphasis on the OGC standards and OSGeo softwares they are using. Some case studies and examples will finally illustrate some of the MapMint functionalities.

TIB AV-Portal

type: Service

type: WebContent

type: MediaObject

@language: en

cs: přihlášení není vyžadováno

de: keine Anmeldung erforderlich

uk: вхід без авторизації

en: no login required

nl: geen login vereist

type: Organization

name: Open Source Geospatial Foundation (OSGeo)

cs: Video

de: Video

fi: Video

uk: Відео

en: Video

fr: Vidéo

da: Video

nl: Video

es: Video


uk: Комп'ютерні науки

description: Everyone knows metadata is A Good Idea and Very Important, even more so given the current focus on data sharing. Unfortunately it's also time-consuming, hard work, and a bit boring. Assuming you've even kept tags on all of your data sources, manual metadata creation also doesn't work well at scale. Out of date, inaccurate, or incomplete metadata can lead to bad decision-making with real-world consequences. Conversely, good metadata can help make your data far more discoverable on the web. What if you could automatically keep track of all your geospatial data, create fully valid, high-quality metadata records, including the fluffy stuff such as abstracts and keywords, and keep it up to date? I'll demonstrate a potential workflow for reaching metadata nirvana using entirely open source tools such as GeoNetwork, Talend ETL, and some Natural Language Processing libraries. While the underlying subject is complex, the talk will be pitched at an accessible level.

uk: вхід без авторизації

name: Metadata Nirvana: Data discovery and metadata creation untouched by human hands


Mexican Geospatial Data Cube

uk: Комп'ютерні науки

description: The Mexican Geospatial Data Cube is an open source tool that enables smart access, management and processing of large volumes of satelite data. The applications of such tool in the field of information production are endless. During this talk we will share the most innovative ways in which the Data Cube is supporting different domains such as water, vegetation and urban growth.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: A presentation of the new OGC API - Processes - Part 3: Workflows draft specifications, allowing to: - chain nested processes, - refer to external processes and collections accessible via OGC API standards, and - trigger execution of processes through OGC API data delivery specifications (such as OGC API - Features, Tiles, Maps and Coverages). Demonstration of use cases including crop classification, point cloud processing and routing. Overview of the work accomplished during the GeoConnections 2020-2021 project contributing to the development of these specifications, to open standards and to free & open source software, including the development of a new unified OGC API driver in GDAL supporting the execution and visualization of results from these workflows in QGIS. OGC API - Processes - Part 3: Workflows and Chaining is a draft OGC specification allowing to use an OGC API collection or the output of an OGC API process as an input to another process, as well as to trigger the execution of that process via data delivery requests, making the results easily accessible from OGC API clients using the data delivery APIs (e.g. Features, Coverages, Maps, Tiles...). The latest draft specifications are available at: https://docs.ogc.org/DRAFTS/21-009.html Financial support for the project provided by GeoConnections, a national collaborative initiative led by Natural Resources Canada. GeoConnections supports the integration and use of the Canadian Geospatial Data Infrastructure (CGDI), an on-line resource that improves the sharing, access and use of open geospatial information.

uk: вхід без авторизації

name: Modular OGC API Workflows for Processing and Visualization


uk: Комп'ютерні науки

description: Floodplain wetlands play a key role in hydrological and biogeochemical cycles and comprise a large part of the world's biodiversity and resources. The exploitation of remote sensing data can substantially contribute to monitoring procedures at broad ecological scales. In 2020, the Lower Paraná River floodplain (also known as Paraná River Delta, Argentina) suffered from a severe drought, and extended areas were burned. To monitor the wildfire situation, satellite products provided by FIRMS-NASA were used. These thermal hotspots —associated with active fires— can be downloaded as zipped spatial objects (point shapefiles) and include recent and archive records from VIRRS and MODIS thermal infrared sensors. The main aim was to handle these data, analyze the number of hotspots during 2020, and compare the disaster with previous years' situation. Using a reproducible workflow was crucial to ingest the zip files and repeat the same series of plots and analyses when necessary. Obtaining updated reports allowed me to quickly respond to peers, technicians, and journalists about the evolving fire situation. A total of 39,821 VIIRS S-NPP thermal hotspots were detected, with August (winter) accounting for 39.8% of the whole year’s hotspots. MODIS hotspots have lower spatial resolution than VIIRS, so the cumulative MODIS hotspots recorded during 2020 were 8,673, the highest number of hotspots of the last 11 years. Scripts were written in R language and are shared under a CC BY 4.0 license. QGIS was also used to generate a high-quality animation. The workflow can be used in other study areas. An R workflow to obtain reproducible reports on active fires monitored with satellite products is presented. The work is an ecological application of spatial analyses conducted with open-source software (R, QGIS). By presenting this approach and results, I aim to highlight: the importance of using remote sensing data and ancillary geographic data to monitor large-scale disasters; how generating reproducible workflows can facilitate and improve geospatial analyses, and lastly, I want to show the usage of open-source geospatial software to account all these tasks. Wildfires are a current environmental topic in South American wetland environments. The case study area is the Paraná River floodplain.

uk: вхід без авторизації

name: Monitoring active fires in the Lower Paraná River floodplain: analysis and reproducible reports on satellite thermal hotspots


uk: Комп'ютерні науки

description: This presentation will include insights and updates on the development of three OGC APIs, namely OGC API Features, OGC API Records and OGC Environmental Data Retrieval API. OGC API - Features provides the fundamental API building blocks to create, modify, and query geospatial vector data on the Web, building on widely used web standards and practices with good tool support. Part 1, approved by the OGC membership in 2019 after two years of testing, focuses on capabilities that almost everyone will need who wants to share vector data via an API (support for basic spatial and temporal queries, WGS84 as the coordinate reference system). Part 2 followed a year later with support for other coordinate reference systems. Additional parts are under development to specify frequently requested API capabilities for those that need them (filtering, queries, create/update/delete, schema support, etc). This presentation will describe what is in Parts 1 and 2 of the standard, and will also explain the emerging extensions of the API. OGC API - Records specifies the behaviour of an API for searching collections of descriptive information, called records. A record contains summary information about a resource that a provider wishes to make discoverable. A resource can be a data collection, a service, a process, a style, a code list, an Earth observation asset, a machine learning model, etc. The core API of OGC API Records is the same as that defined for OGC API Features with several additional query parameters that are specifically targeted for searching collections of records. It defines several encodings for a record, including a GeoJSON, a HTML and an ATOM encoding. It builds on the work already done in other OGC APIs and endeavours to be compatible to the previous OGC catalogue specification, OGC (CSW). It furthermore endeavours to align with the STAC suite of specifications by defining a GeoJSON encoding for a record, using the same OGC API Features-based API and harmonizing API parameter names. The OGC API – Environmental Data Retrieval (EDR) candidate standard uses current web technologies and best practices to enable end-users – or anyone with web development experience – to easily identify and retrieve a subset of data from ‘big data’ stores. The idea is to save those users interested in environmental (or other) data from having to transfer and deal with datasets that inevitably contain data concerning areas or time periods that are irrelevant to their interests. The OGC API – EDR standard specifies the fundamental API building blocks required to access environmental data resources by requesting data at a Position, within an Area, or along a Trajectory, including optional time and/or vertical coordinates. In addition, as a web API, it uses a well-understood and -established mode of interaction that comes with a shallow learning curve.

uk: вхід без авторизації

name: OGC API - Deeper Dive into OGC API Features, Records and EDR


keywords:
SAOCOM-1
Forest Plantations
SAR Interferometry
Orbital Corrections
FOSS
Digital Surface Model (DSM)

uk: Комп'ютерні науки

description: In this work we present an orbital correction workflow developed with FOSS tools to compensate for orbital errors present in Synthetic Aperture Radar (SAR) interferograms. The technique is tested in forested areas in Argentina, using full polarimetric images from the argentinean SAR constellation SAOCOM-1 (Satélite Argentino Con Microondas). The results are contrasted with field measurements of canopy height provided by local producers, and the results show that the Root Mean Square Error (RMSE) of the satellite measurements is significantly reduced after the orbital correcction. Moreover, forest plantation become more distinguishable in the retrieved Digital Surcace Models, especially in those pairs with larger spatial baseline. A section of this article is also dedicated to the discussion on which are the best parameters to run the module, and how different configurations can affect the result.

uk: вхід без авторизації

name: ON THE FEASIBILITY OF APPLYING ORBITAL CORRECTIONS TO SAOCOM-1 DATA WITH FREE OPEN SOURCE SOFTWARE (FOSS) TO GENERATE DIGITAL SURFACE MODELS: A CASE STUDY IN ARGENTINA


Open Source and Mining: a roadmap

uk: Комп'ютерні науки

description: Over the last 15 years, great strides have been covered in the Geospatial Open Source domain with the rise of numerous FOSS development companies using QGIS and PostGIS as foundational technologies to serve their clients and expand their scope. Nonetheless, the Geospatial Open Source community has been largely absent from METS (Mining Equipment, Technology and Services) despite the high applicability of the solutions it has developed for closely related sectors such as hydrogeology or infrastructure network management. This presentation highlights potential strategies for Open Source developers to integrate the mostly untapped Mining Industry market through a review of the current state of the METS software market, areas of potential improvement, customer demands and practical examples.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: OpenAQ is the largest, open source air quality data platform, hosting 5+ billion real-time and historical measurements from 120 countries, and serving an average of 35 million API requests per month. The data have been used for a wide variety of applications, from air quality forecasts produced by NASA scientists to platforms communicating air quality in India to data-driven media reports by the general public. By providing this foundational data infrastructure, OpenAQ is able to convene people and organizations from across the globe to further raise awareness and develop innovative solutions to combat air pollution. The talk will give a technical overview of the platform, highlight the impact through user stories, and feature new tools developed with the community to enhance the platform and effectively use the data to fight for clean air. Air pollution, responsible for one out of eight deaths around the world, is a global environmental and public health crisis. Despite the urgency of this growing problem, only 50% of governments worldwide produce air quality data, leaving 1.4 billion citizens without access to fundamental information that could protect them from the harmful effects of air pollution. Where data does exist, data are often in inconsistent and temporary data sharing formats, making it difficult for the public to readily access and make use of the data. The OpenAQ platform aggregates and harmonizes real-time and historical air quality data from 120 countries from a variety of sources including reference-grade government monitors to community-led low-cost sensors to research-grade data. The open source platform hosts 5+ billion data points and the open API serves an average of 35 million requests per month. The data has been used for a wide variety of applications, from air quality forecasts produced by NASA scientists, to platforms communicating air quality in India, to data-driven media reports. By filling a basic data-access gap and building foundational open source tools, OpenAQ has empowered diverse individuals, organisations, and sectors across the globe to fight for clean air. How has opening up air quality data transformed the way we think about air pollution? What kinds of innovative solutions have been developed? Looking into the future, how do we address data accessibility, coverage, and transparency in order to most effectively enable cross-sector and cross-cultural collaboration to drive action? This presentation will give an overview of the platform, highlight impact stories among the OpenAQ Community, and share new tools we have developed with communities to share insights into how open air quality data has shaped and continues to shape the global fight against air pollution.

uk: вхід без авторизації

name: OpenAQ: An Open Air Quality Platform and Global Ecosystem


uk: Комп'ютерні науки

description: Pedestrians have been neglected. We’ve seen monumental progress in digital maps, but much of this has been road centric. Even open source projects like OpenStreetMap have revolved more heavily around road networks than the parts of a city a pedestrian would frequent. In this presentation we download data from OpenStreetMap that relates to pedestrians to see how much it differs from the reality on the ground. We contrast different types of cities, seek to understand why pedestrian data is lacking, and look at solutions such as Mapillary that can help make OpenStreetMap more pedestrian friendly. The evolution of digital maps of the last 20 years has been nothing short of incredible. The experience for the end consumer has continued to improve, with better map data, more intuitive interfaces, and greater portability. A lot of the developments have focused on in-car navigation, with Google Maps, Apple Maps, HERE Maps, and TomTom dedicating significant resources to the space. OpenStreetMap is an open source mapping project, and even here vehicle based navigation has dominated. In this presentation we’ll explore the state of pedestrian data in OpenStreetMap, how it differs between cities, why it’s important to think about, and how we might collectively improve the quality of pedestrian data. To begin with, we’ll take a look at data downloaded with Overpass Turbo. The data represents nodes, ways, and areas with pedestrian relevant tags such as highway=footway and sidewalk=both. Our analysis focused on five cities with differing characteristics: • Folsom, USA • Heidelberg, Germany • Melbourne, Australia • Stone Town, Tanzania • Yesan, South Korea These cities differ in population, cultural characteristics, urban planning, history, and topography. We’ll explore what kind of OpenStreetMap tags have been used in each city, how close this matches the state of pedestrian infrastructure, and how the cities compare to one another. We’ll then look at some reasons why pedestrian data has been neglected including the limitations of satellite imagery, commercial incentives, and data collection methods. In the final part of the presentation we’ll propose and hopefully discuss some of the tools that could help including Mapillary, StreetComplete, GoMap!!, and Vespucci.

uk: вхід без авторизації

name: OpenStreetMap and the neglected pedestrian


uk: Комп'ютерні науки

description: PgMetadata - A QGIS plugin to store the metadata of PostgreSQL layers inside the database, and use them inside QGIS PgMetadata is made for people using QGIS as their main GIS application, and PostgreSQL as their main vector data storage. The layers metadata are stored inside your PostgreSQL database, in a dedicated schema. Classical fields are supported, such as the title, description, categories, themes, links, and the spatial properties of your data. PgMetadata is not designed as a catalog application which lets you search among datasets and then download the data. It is designed to ease the use of the metadata inside QGIS, allowing to search for a data and open the corresponding layer, or to view the metadata of the already loaded PostgreSQL layers. By storing the metadata of the vector tables inside the database: QGIS can read the metadata easily by using the layer PostgreSQL connection: a dock panel shows the metadata for the active layer when the plugin detects metadata exists for this QGIS layer. QGIS can run SQL queries: you can use the QGIS locator search bar to search for a layer, and load it easily in your project. The administrator in charge of editing the metadata will also benefit from the PostgreSQL storage: PostgreSQL/PostGIS functions are used to automatically update some fields based on the table data (the layer extent, geometry type, feature count, projection, etc.). The metadata is saved with your data anytime you backup the database You do not need to share XML files across the network or install a new catalog application to manage your metadata and allow the users to get it. The plugin contains some processing algorithms to help the administrator. For example: a script helps to create or update the needed "pgmetadata" PostgreSQL schema and tables in your database a algorithm creates a QGIS project suitable for the metadata editing. This project uses the power of QGIS to create a rich user interface allowing to edit your metadata easily (forms, relations). Why use another interface when QGIS rocks ? More PgMetadata features will be shown during the presentation: Modification of the template to tune the displayed metadata Export a metadata dataset to PDF, HTML or DCAT Publish the metadata as a DCAT catalog with Lizmap Web Client module for PgMetadata. It can then be harvested by external applications (Geonetwork, CKAN) The data model is very close to the QGIS metadata storage and the DCAT vocabulary for compatibility.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: Have you ever wished for web maps with no servers or backend to maintain? Introducing a new archive format called PMTiles, based on HTTP Range requests, for serving Z/X/Y tiles from storage APIs such as S3. PMTiles is a new archive format for pyramids of tiled data. It enables developers to host tiled geodata on commodity storage platforms such as S3, and can contain raster images, vector geometry, or data in any other format. This talk will: Introduce the design and specification of PMTiles, with comparison to Cloud Optimized GeoTIFFs Demo some open source tools to convert between PMTiles and other formats such as directories or MBTiles Explain the use cases for which PMTiles fits well, and how it interacts with map rendering libraries, web servers, compression and content delivery networks.

uk: вхід без авторизації

name: PMTiles: An open, cloud-optimized archive format for serverless map data


Presentation State of GeoNetwork

uk: Комп'ютерні науки

description: Report about the state of the project; events, releases, roadmap. OGC API, scalability and UI update are the current topics. The GeoNetwork team is having a standout year and would love to share what we have been up to! The project is very active, and we have new project steering committee members to introduce. We will report back from our annual user group meeting and code sprint. 2020 gave us a great opportunity to think about what Geonetwork next generation should look like. The main concerns we want to address are scalability and usability. From that, 2 brand new projects are born: geonetwork-microservices and geonetwork-ui which totally renew the experience we want to give to the users when searching for data. The Geonetwork team is excited to talk more about those projects and the benefit you could get from this new architecture and design. Enhancement and fixes in main branches also never stopped with two recent major releases: GeoNetwork 3.12 in april 2021, and GeoNetwork 4.0.0 in October 2020. Attend this presentation for the latest from the GeoNetwork community. Authors and Affiliations – Florent Gravin, florent.gravin@camptocamp.com, Camp to camp, France Francois de Prunayre, fx.prunayre@gmail.com, Titellus, France Jody Garnett, jody.garnett@geocat.net, Canada Paul van Genuchten, paul.vangenuchten@isric.org, ISRIC.org, Netherlands Jo Cook, jocook@astuntechnology.com, Astun Technologies, UK Track – Transition to FOSS4G Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – English

uk: вхід без авторизації


uk: Комп'ютерні науки

description: Printing web maps is a challenge in terms of performance, precision and flexibility. InkMap aims to conquer this challenge on the front-end. As an open source Javascript library, it facilitates usage and provides fast results without limiting browser performance. Under the hood InkMap makes use of other open source libraries and modern web technologies. Most solutions for printing maps on the web are based on a backend component. They provide a solid and scalable printing engine, but reach their limitations when it comes to flexibility and user interaction, that are usually constrained by static templates. Front end solutions have the potential to enhance user experience and make print compositions possible that can be customized via gestures like drag and drop. While they have traditionally been limited in performance and the data volume they can process, InkMap wants to eliminate this bottleneck with modern web technologies, that allow multi threading inside the browser. The library uses OpenLayers internally to render the printed map.This means that the library can handle many different formats, both for raster or vector data, and rely on a very performant rendering engine. A JSON specification including layers, resolution, scale, etc. defines a print job and serves as input to the print process. As a result, InkMap generates a map in PNG format, that can easily be embedded in a PDF. Inkmap delegates the print job to a service worker. This enables to run the asynchronous task in multiple threads and speed up performance. The application currently in use stays available to the user without affecting its performance. It also implies that multiple print jobs can run in parallel and their progresses can be tracked. The application can even be shut down as long as the browser keeps running. The service worker makes use of the OffscreenCanvas API to print the canvas outside the window. While service workers are widely supported in modern web browsers today, this cannot yet be said for the OffscreenCanvas API. For this case InkMap uses a fallback, to run in the main thread. The presentation will provide an overview of used technologies, the library’s API and configuration. It will demonstrate the integration of InkMap into an existing web mapping library and application on a use case of the French ministry of the ecological transition, which not least was the initiator of the project.

uk: вхід без авторизації

name: Printing maps in the browser with InkMap


uk: Комп'ютерні науки

description: Provita, an environmental NGO based in Venezuela, needed a multi-lingual Geoportal to disseminate their national and regional GIS data to researchers, 3rd party organizations, and the general public. They needed to be able to upload and publish data sets and their associated metadata self-sufficiently, as well as the ability for end-users to preview the datasets on an interactive map. Furthermore, Provita needed the Geoportal to be very economical and hands-off regarding operation and maintenance. In this session, we describe in the detail how we developed a high-performance and cost-effective serverless Geoportal using a statically generated site and tilesets, taking advantage of the Jamstack, Github APIs, and Amazon Web Services (AWS) for storage and on-demand computation. We explain how we used Gridsome, an open source static-site generator for Vue.js, to create end-user and administrator interfaces, and how we integrated the MapLibre GL open source mapping library, to provide a map preview capability for end-users. We discuss options we considered for back end storage of GIS files, metadata and tilesets, and describe how we architected a low-touch, low-cost, scalable end-to-end solution. We also describe how we implemented user authentication and access control using a combination of Github OAuth, Lambda functions and AWS policies. In addition, we present our approach for very inexpensive and extremely flexible site hosting using Netlify. Finally, we explain our approach for tile generation using AWS batch job capabilities and the use of spot instances to minimize costs. Attendees interested in developing similar applications or contributing to this open source, open data project, will benefit from lessons learned discussed in this session. The proposed presentation outline is as follows: Introduction, requirements and design considerations Geoportal live demo, end-user and admin interfaces What is the Jamstack and how we leveraged it to build the Geoportal Design overview Front-end: user and admin interfaces, Gridsome and Vue.js; map preview using MapLibre; i18n approach Back-end: Github data repos, AWS S3, and AWS batch jobs; Netlify hosting Authentication and access control with OAuth, Lambda functions and AWS policies Key takeaways

uk: вхід без авторизації

name: Provita Geoportal: a serverless GIS portal using the Jamstack


pycsw project status 2021

uk: Комп'ютерні науки

description: pycsw is an OGC CSW server implementation written in Python and is an official OSGeo Project. pycsw implements clause 10 HTTP protocol binding - Catalogue Services for the Web, CSW of the OpenGIS Catalogue Service Implementation Specification, version 3.0.0 and 2.0.2. pycsw allows for the publishing and discovery of geospatial metadata, providing a standards-based metadata and catalogue component of spatial data infrastructures. The project is certified OGC Compliant, and is an OGC Reference Implementation. The project currently powers numerous high profile catalogues such as US data.gov, geoplatform.gov, IOOS, NGDS, NOAA, US Department of State, US Department of Interior, geodata.gov.gr, Met Norway and WMO WOUDC. This session starts with a status report of the project, followed by an open question answer session to give a chance to users to interact with members of the pycsw project team. This session will cover how the project PSC operates, what is the current project roadmap, and recent enhancements focused on ESA's Earth Observation Exploitation Platform Common Architecture (EOEPCA) and OGC API - Records.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: pygeoapi is an OGC API Reference Implementation for Features. Implemented in Python, pygeoapi supports many other OGC APIs via a core agnostic API, different web frameworks (Flask, Starlette, Django) and a fully integrated OpenAPI capability. Lightweight, easy to deploy and cloud-ready, pygeoapi's architecture facilitates publishing datasets and processes from multiple sources. This presentation will provide an update on the current status and latest developments, including the implementation of numerous new OGC APIs including gridded/coverage data (OGC API - Coverages), search (OGC API - Records), vector/map tiles (OGC API - Tiles), and Environmental Data Retrieval (EDR API). Authors and Affiliations – Tom Kralidis (Open Source Geospatial Foundation tomkralidis@gmail.com) Francesco Bartoli (Geobeyond Srl francesco.bartoli@geobeyond.it) Angelos Tzotsos (Open Source Geospatial Foundation tzotsos@gmail.com) Just van den Broecke (Just Objects B.V. justb4@gmail.com) Paul van Genuchten (GeoCat B.V. paul.vangenuchten@geocat.net)

uk: вхід без авторизації

name: pygeoapi: what's new in the Python OGC API Reference Implementation


uk: Комп'ютерні науки

description: QGIS demo as a generic Desktop capability. Alongside the various OGC API server implementations, clients are in the process of being set up to interact with the OGC API services. In this talk we present some new capabilities of QGIS and GDAL to interact with OGC API’s. Additionally to the various OGC API server implementations, more and more clients are being set up to interact with the OGC API services. This talk will focus on on QGIS and some new capabilities of QGIS and GDAL to interact with OGC API’s. - The WFS provider in QGIS has been extended to support OGC API Features. The functionality builds on top of the WFS provider. - The QGIS Metasearch plugin is in the process of being extended to support OGC API - Records a dataset search plugin for QGIS. Metasearch uses internally OWSLib, a python library with extended OGC API client support. - Also GDAL, a swiss army knife for spatial data, has been extended to interact with various OGC API's. In case there is news to share on client support for OGC API Maps, Coverages, Tiles and Styles, you’ll hear of it during the presentation.

uk: вхід без авторизації

name: QGIS and OGC APIs - how do they work together?


uk: Комп'ютерні науки

description: Remote Sensing and Modeling Tools Exploration for Habitat Delimitation of Leishmaniasis Transmitting Vectors Leishmaniasis encompasses a group of vector-borne parasitic diseases, characterized by their diversity and complexity, that affect both humans and other vertebrates. They are caused by different species of parasites of the Leishmania genus, which are transmitted by bites from hematophagous female sandflies. This work proposed to model the occurrence probability of five sandflies species of sanitary interest for South America, from a bibliographic compilation of records of the last 10 years. To develop the model, the free software MaxEnt was used. This exploratory analysis made it possible to visualize the areas where the species are distributed. In addition, we analyzed land changes in vegetation around a town in Jujuy province, Argentina, where a leishmaniasis outbreak occurred during the years 2017 and 2018. For this, Sentinel-2 images were used, and a change vector was calculated for the difference between two dates of the Normalized Difference Vegetation Index (NDVI). This part of the work was made using SNAP software for images pre-procesing, Python for the change vector obtention and QGIS for the result post-procesing. From the exploration of MaxEnt software we were able to know the most suitable places for the distribution of the most important five species in the study region, and therefore, to project future decision-making to prevent and control leishmaniasis transmission. And in turn, obtain an approximation of how anthropogenic activities, as deforestation, can have an influence on leishmaniasis specific outbreaks transmitted by these species. Finally, from the exploration of the different tools used in this work, the importance of validation with field data for the generation of accurate analyses and predictions is highlighted. It implies that more data collection is necessary to validate the models and analyzes generated, to guarantee the contribution of the tools in macro-ecological studies of species linked to disease transmission.

uk: вхід без авторизації


Interview at Cirm : Robert Tichy

cs: Matematika

de: Mathematik

fi: matematiikka

uk: Математика

en: Mathematics

fr: Mathématiques

da: Matematik

es: Matemáticas

nl: Wiskunde

de: Mathematik, Naturwissenschaften

uk: Математика, природничі науки

en: Mathematics, Natural Sciences

description: Robert Franz Tichy is an Austrian mathematician and professor at Graz University of Technology. He studied mathematics at the University of Vienna and finished with a Ph.D. thesis on uniform distribution under the supervision of Edmund Hlawka. He received his habilitation at TU Wien in 1983. Currently he is a professor at the Institute for Analysis and Number Theory at TU Graz. Previous positions include head of the Department of Mathematics and Dean of the Faculty of Mathematics, Physics and Geodesy at TU Graz, President of the Austrian Mathematical Society, and Member of the Board (Kuratorium) of the FWF, the Austrian Science Foundation. His research deals with Number theory, Analysis and Actuarial mathematics, and in particular with number theoretic algorithms, digital expansions, diophantine problems, combinatorial and asymptotic analysis, quasi Monte Carlo methods and actuarial risk models. Among his contributions are results in discrepancy theory, a criterion (joint with Yuri Bilu) for the finiteness of the solution set of a separable diophantine equation, as well as investigations of graph theoretic indices and of combinatorial algorithms with analytic methods. He also investigated (with Istvan Berkes and Walter Philipp) pseudorandom properties of lacunary sequences. In 1985 he received the Prize of the Austrian Mathematical Society. Since 2004 he has been a Corresponding Member of the Austrian Academy of Sciences. In 2017 he received an honorary doctorate from the University of Debrecen. He taught as a visiting professor at the University of Illinois at Urbana–Champaign and the Tata Institute of Fundamental Research.

uk: вхід без авторизації

name: Centre International de Rencontres Mathématiques (CIRM)

addressCountry: FR

addressLocality: Marseille

addressRegion: Provence-Alpes-Côte d'Azur


uk: Комп'ютерні науки

description: QFieldCloud's unique technology allows your team to focus on what's important, making sure you efficiently get the best field data possible. Thanks to the tight integration with the leading GIS fieldwork app QField, your team will be able to start surveying and digitising data in no time. Discover what QFieldCloud has to offer and how, thanks to seamless integration with your SDI, it can help make your teams' fieldwork sessions pleasant and efficient. And if you want to roll out your own customized version, nothing will stop you, QFieldCloud is open source! QFieldCloud is a SaaS (software as a service) solution built by OPENGIS.ch that allows your team to seamlessly integrate field data to your SDI. QFieldCloud is written in python using the Django Web framework that encourages rapid development and clean, pragmatic designs. QField is the mobile data collection app for QGIS with more than 110K active monthly users and 400K downloads. Discover how the seamless synchronisation with QFieldCloud can help make your teams' fieldwork sessions pleasant and efficient.

uk: вхід без авторизації

name: Seamless fieldwork thanks to QFieldCloud


uk: Комп'ютерні науки

description: All the new features of the digital field mapping app SMASH. All you should know about the future of the Geopaparazzi project. If you are a surveyor, that's the right talk for you. For over a decade Geopaparazzi has been one of the few digital field mapping apps of the Osgeo firmament. After that many years in use a natural evolution happened and lead to SMASH, a more user-friendly, modern, faster to develop and cross platform app for the eyes of IOS, Android, but also Macos and Linux users. In few years SMASH has covered the featureset of geopaparazzi and is moving forward quickly. Geopackage and PostGIS editing support, Kalman filter on gps logs, geo-fences, native geotiff and shapefile visualization support, SLD styling for vector datasets – are some of the features that were added, that geopaparazzi doesn’t have. The Survey Server has been redesigned with the same technology used by SMASH and has now the ability to visualize data in the same look and feel as the mobile app. Notes serverside-versioning has been introduced to enhance synchronization of data by teams. A redmine plugin is being developed by community members to create a geo-ticketing system. This presentations gives an insight about the state of the art of the SMASH and Geopaparazzi projects and their current roadmaps.

uk: вхід без авторизації

name: SMASH and Geopaparazzi, state of the art of the digital field mapping projects.


Solving Spatial Problems with PostGIS

uk: Комп'ютерні науки

description: We'll look at 10 problems commonly solved with PostGIS. The focus will be the use of PostGIS 3.1+ and PostgreSQL 13+.. Examples will be in areas of proximity analysis, geocoding, aggregation of spatial statistics, web mapping, and some unconventional uses of PostGIS. In this talk we'll explore the following PostGIS related extensions and how they can be used to load and analyze data. We'll also highlight new features in newer versions of PostGIS that simplify solving of problems. Extension coverage will be: * postgs - the core extension * postgis_raster - extension packaged with postgis for raster analysis * postgis_topology - postgis extension commonly used for data cleanup * postgis_sfcgal - postgis extension with advanced processing and 3D support * ogrfdw - a PostgreSQL spatial foreign data wrapper extension.

uk: вхід без авторизації


State of GDAL

uk: Комп'ютерні науки

description: We will focus on recent developments and achievements in recent GDAL versions. In particular, new drivers such as FlatGeoBuf, Cloud Optimized GeoTIFF, EXR, HEIF, OGC API Tiles/Maps/Coverage, STAC Tiled Assets or the infrastructure to write vector drivers in Python. We will also present the multidimensional raster API and its tools. New utilities like gdal_viewshed will be introduced. The state and health of the community and its challenges will also be covered.

uk: вхід без авторизації


State of GeoNode

uk: Комп'ютерні науки

description: This presentation provides a summary of new features added to GeoNode in the last up to the latest releases of GeoNode together with a glimpse of what we have planned for next year and beyond, straight from the core developers. GeoNode is an open source framework designed to build geospatial content management systems (GeoCMS) and spatial data infrastructures (SDI). Its development was initiated by the Global Facility for Disaster Reduction and Recovery (GFDRR) in 2009 and adopted by a large number of organizations in the following years. Supported by a vast, diverse and global open source community, GeoNode is an official project of the Open Source Geospatial Foundation (OSGeo). Using an open source stack based on mature and robust frameworks and software like Django, MapStore, PostGIS, GeoServer and pycsw, an organization can build on top of GeoNode its own SDI or geospatial portal. GeoNode provides a large number of user-friendly capabilities, broad interoperability using Open Geospatial Consortium (OGC) standards, and a powerful authentication/authorization mechanism. This presentation provides a summary of new features added to GeoNode in the last up to the latest releases of GeoNode together with a glimpse of what we have planned for next year and beyond, straight from the core developers.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: GRASS GIS is a well established, all-in-one geospatial number cruncher with Python interface, command line, and GUI. This talk will give an overview of new additions and highlight latest updates in version 7.8 and new major version 8.0. Major updates in 7.8 include Python 3 support, transition to PROJ 6+, easier batch processing, virtual raster mosaic, and improved data compression. Version 8.0 completely revamps the first-time user experience in GUI, streamlines how users interact with their data, and supports dark-themes. The development successfully runs on GitHub, several Docker images are available, and there is a growing number of Jupyter Notebooks. This talk gives an overview of the current state of the GRASS GIS project for both users and developers. The focus will be on new releases, specifically the new major version 8, and various updates including Python 3, PROJ, and GitHub transitions.

uk: вхід без авторизації

name: State of GRASS GIS: The Dawn of a New Era


uk: Комп'ютерні науки

description: The swisstopo's web-based geospatial open source application for the simple, structured compilation of geological borehole data. With swissforages.ch, you can record, harmonize and export borehole data for your own use from anywhere, without licenses and independent of the platform. Most of the time boreholes data, particularly those collected in the past, are in the form of static data reports that describe the stratigraphy and the related characteristics; these data types are generally available as paper documents, or static files like .pdf of images (.ai). While very informative, these documents are not searchable, not interoperable nor easily reusable, since they require a non negligible time for data integration. Sometime, data are archived into database. This certainly improve the find-ability of the data and its accessibility but still do not address the interoperability requirement and therefore, combining data from different sources remain a problematic task. To enable FAIR borehole data and facilitate the different entities (public or private) management Swisstopo has funded the development of a Web application named Borehole Data Management System (BDMS) that adopt the borehole data model implemented by the Swiss Geological Survey. From the first beta release (2019) several improvements to the platform has been implemented leading to the last official release of the platform (v1.0.3) officially available on github. The latest released features includes: - Borehole document storage - Interface customization - Improved access & authorization managemnt - External WMS/WMTS background map support - User feedbacks form - Enter as guest - Handling of personalized and versioned terms of service - Enhanced bulk data import - Minor enhancements and bug fixes - Easy installation with docker - and many more..

uk: вхід без авторизації

name: Swissforages: the Free and Open-Source Borehole Data Management System

name: Open Source Geospatial Foundation (OSGeo)


The Cloud Devoured Open Source

uk: Комп'ютерні науки

description: The Cloud Devoured Open Source... but then it choked on Free Software. A freestyle intro on how to help Free and Open Source Software manage to avoid getting obsoleted by shareholder value. A short note on how business functions and why Free and Open Source makes a good combo when creating sustainable software architectures.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: FOSS4G conferences have helped generate interest in, and adoption of free and open source geospatial tools. Whether it is the business-to-business conference events, or the support of commercial organizations sponsoring FOSS4G conferences, it is clear that commercial interests and open source communities intersect in a variety of ways. This talk aims to describe several of the different paths that commercial organizations take to leverage free and open technologies for business success. The following three real world examples will illustrate these paths: Very small organizations providing FOSS4G consulting and training services Product companies including FOSS4G tools in powering niche products Platform companies that have built their platforms upon open source frameworks The case study examples will include further details including how my current employer utilizes open source technology. Finally, the talk will speculate on why large, commercial companies such as Google, routinely open source their own technologies such as Kubernetes and other geospatial examples. This presentation looks plainly at the business aspects of the FOSS4G ecosystem. In short, how does free and open source software for geospatial help cultivate business success and sustain livelihoods?

uk: вхід без авторизації

name: The Intersection of Geospatial Open Source and Commerce


uk: Комп'ютерні науки

description: A common question seen on many open source mailing lists is "When will you guys fix my bug?" It is critical to my company This is often followed by one of the developers replying to say "When you write a fix or pay someone to do it". This leads to the user complaining to everyone that this snarkiness is not a welcoming response or how unreasonable it is to expect them to learn to program, or to pay. The discussion often descends into a rambling maze of twisty insults and justifications. When the fuss dies down, all the developers go back to doing what they the were doing something useful and the user becomes either a dissatisfied user or an ex-user. This talk by two veteran open source developers will help users see that play out from our the developer point of view. We ll look at the reasons that drive developers to share their code, the licencing conditions covering it, the real life of developers and associated constraints, and what is actually reasonable to expect from both sides. This is a reprise of a very successful talk that was given at FOSS4G 2019 and that has been view more than 4000 times and lead to an interesting discussion of HackerNews amongst other places.

uk: вхід без авторизації

name: The secret life of open source developers


uk: Комп'ютерні науки

description: GeoServer can be used quickly for many scenarios for the implementation and operation of map services, but so far GeoServer was not optimal for the operation of high-availability applications and / or for operation in a cloud infrastructure. In this talk, the Microservices-based architecture of the “Cloud Native GeoServer” project will be presented, as its use in the NexSIS project, in which emergency call processing in France was modernized. GeoServer is an open source software for the implementation and operation of map services. GeoServer is a proven and widely used solution. For the use of GeoServer for applications that require very high availability, such as for emergency call processing systems, the classic architecture of GeoServer is not optimal. For such a system, several instances of the application must be operated at the same time, sharing the same configuration. To achieve this, complex setups have been required, which, due to their complexity, can also be prone to errors. In the Cloud Native GeoServer project, GeoServer can now be used in such a way that several instances use the same configuration in a simpler way, which simplifies the setup and operation of GeoServer as a high-availability system and / or as a cloud service. Furthermore, the various services of GeoServer are offered by different microservices in order to be able to optimize the use of resources and thereby achieve better scalability. This talk explains the architecture of this Cloud Native GeoServer and explains its use in the NexSIS project, in which the GeoServer Microservices are operated in a Kubernetes cluster and thus ensure highly available map services within emergency call processing.

uk: вхід без авторизації

name: Towards a better integration of GeoServer in a high-available cloud infrastructure


uk: Комп'ютерні науки

description: Towards the establishment of a new opensource geospatial remote sensing VRE for e-Biodiversity Ecosystem Services and Climate Change modelling and adaptation LifeWatch ERIC e-Science panEuropean Infrastructure for Biodiversity and Ecosystem Research "lifewatch" is mainly aimed to facilitate the access to their distributed data, information and knowledge resources and services, also providing modelling capabilities for understanding the complexity of associated Climate Change processes for research and adaptation purposes, as well as addressed to decision makers and citizen scientists. One of our VREs focuses on the historical time-series study and climate change projections at high resolution, which will be generated by dynamical downscaling of the General Circulation Models (GCMs). To this purpose, the regional climate model Weather Research and Forecasting (WRF) will be used to simulate high-mountains areas climate scenarios, and thus, solving the limitations of the vast spatial resolution of GCMs. The observational database will validate present WRF models-based simulations. This will create high-res regionalized projections in high mountains areas using the state-of-art of open-source geospatial tools.

uk: вхід без авторизації


Transportation Engineering with FreeCAD

uk: Комп'ютерні науки

description: Parametric CAD has made inroads in transportation engineering in recent years. FreeCAD provides an excellent framework for the development of a free / open source CAD package for 3D parametric cad modelling of highways and related infrastructure. A broad view of the development of the FreeCAD Trails workbench for horizontal and vertical alignment design, 3D proof-of-concept and geomatics / surveys will be presented. The Trails workbench is being designed as an all-in-one workbench to provide tools for 3D highway design and modelling, from surveys / geomatics through alignment design and 3D models, including volumetric calculations. Integration with GIS is in its nascent stages as development efforts have been focused largely on stability and prototyping key tool sets and user interface elements.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: When it comes to 3D graphics, computer games have been the technical leaders for decades. The game engines behind it have only recently been discovered by GIS manufacturers. This talk introduces game engines in general and the leading open source game engine Godot in detail. It also shows the status of integrating GIS data, which will play an increasingly important role in the age of AR and VR.

uk: вхід без авторизації

name: Using game engines for 3D geospatial development


uk: Комп'ютерні науки

description: We are one planet, one human race, working together to understand our world – the systems, the people, the places and the complexities that underly them all. To enhance our understanding, NASA’s Earth Science Division (ESD) employs a fleet of satellites equipped with sensors that collect petabytes worth of Earth observations aimed to help scientists and researchers learn more. NASA has the unique vantage point to see the bigger picture and identify more valuable, expansive uses of data previously siloed by a specific research question or hazard type. NASA’s ESD missions give researchers unprecedented insights into Earth’s systems and are driven by the integration and harmonization of data sources from multiple spatial scales. NASA Earth science data provide a wealth of information to aid in our understanding of Earth’s processes, in the development of innovative solutions for real-world challenges, and in making data-based decisions. These datasets, which cover even the most remote areas of Earth, are freely and openly available to anyone but not always intuitively discoverable and accessible in GIS formats. NASA’s Earth Science Data Systems (ESDS) program and Distributed Active Archive Centers (DAACs) have developed resources and tools to overcome this challenge. In this talk, we will demonstrate resources for geospatial analysts wishing to get started using NASA data. There is a growing need for NASA data to be GIS-ready for easy integration and analysis in the primary tools employed by user communities. Join us to learn about how NASA Earth Science is enabling data through services, applications and story maps and distributing content through online platforms. Learn about our Earthdata community space and GIS Data Pathfinder, developed to guide users to numerous geospatial web services and tools to access GIS-ready data. NASA advocates a collaborative culture enabled by technology that empowers the open sharing of data, information, and knowledge within the scientific community and the wider public to accelerate scientific research and understanding for societal benefit.

uk: вхід без авторизації

name: Using NASA Earth Observations to Enable Open Science


Watching after your PostGIS herd

uk: Комп'ютерні науки

description: In this talk I will explain how you can set up PostGIS as a service with the container orchestration framework Kubernetes. At Zalando we are managing thousand of PostgreSQL clusters and had to find a way to make the database experience for developers as easy as possible. Today they can create new clusters or run major version upgrades themselves with a click of a button. High availability, point-in-time-recovery, role provisioning and monitoring come out of the box. Engineering teams are more independent and can move faster while not boring the database administrators with repetitive operational tasks. The Zalando DBAs on the other hand aim to improve the cloud native Postgres experience and develop open source tools such us Patroni, Spilo or Postgres Operator which will be presented. I joined Zalando in 2019 as a PostGIS user and want to share some of my learning of becoming a database engineer.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: Zaru is a new system for creating real-time spatial dashboards. Zaru uses video-gaming techniques and a novel method of encoding data in images to enable real-time compositing and visualization of potentially giant data sets. This solution was initially developed by design firm Sasaki as a better way to understand the relationship between urban amenities and the people who can access them. The platform is powerful and scalable, but requires no back-end infrastructure to run. As a solution for data sharing and visualization it has broad potential and room for creativity - making it ideal for the FOSS community. Zaru grew out of a need for easier access to large datasets and the desire to find a better way to query and visualize them. We believe interactive models and visualizations can help provide deeper understanding of complex relationships and lead to better-informed decisions. Smooth, real-time feedback lets us keep all assumptions fluid and allow users to understand causal relationships intuitively. By using numeric datasets that can account for probabilities, but also allowing arbitrary inputs to behave as “sliders”, we can play out these scenarios and quickly explore a dense set of possible outcomes. Zaru can be used to support decisions around urban growth scenarios, environmental threat analysis, site selection for development and many other geospatial analyses. Zaru can also be an effective web-based storytelling tool. The underlying technologies borrow from the gaming community, but are very close to standard geospatial practices. We use the WGS 84 web map tile schema and encode data in PNG format (GeoPngDB). Data tiles are loaded exactly as image tiles would be for an aerial or street map, but by keeping the data in raw format, we are able to manipulate the visualization in real-time. This allows us to apply filters and apply color schemes to tease out patterns instantly. In addition to raster datasets, Zaru supports record-based geospatial data using a novel combination of spatial and non-spatial encoded images. This allows specific queries to be run over millions of records in real-time. This presentation will showcase Zaru’s current capabilities using proofs of concept and real-world case studies. We hope to begin a dialog about what’s possible using these techniques and potentially inspire collaborations or spin-offs from these solutions.

uk: вхід без авторизації

name: Zaru: A New Platform for Real-Time Spatial Dashboards


uk: Комп'ютерні науки

description: Socio-economic and demographic data is usually collected at the individual or household level, and numbers are then aggregated and released at the level of administrative units. The spatial extent of many phenomena, however, do not correspond to any existing administrative limits, making them difficult to exploit. Additionally, geospatial information has started to be available at more and more detailed spatial resolutions, thanks to progress made using high-resolution EO data. Consequently, scientists often aim to perform spatial analyses at a fine resolution, but face issues related to the fact that the spatial resolution of administrative units, on which socio-economic and demographic data are aggregated, is too coarse and does not fit their needs. Dasymetric mapping can be used to create a more meaningful gridded layer of disaggregated socio-economic data, but the major challenge resides in determining the spatial distribution of a variable within aggregated spatial units. The dasymetric mapping approach has been made more accessible with an existing GRASS GIS addon “v.area.weigh" (Metz, Grass Development Team, 2013), available on the official GRASS GIS add-on repository. It provides a tool for dasymetric mapping, however requires that the user provide their own weighted layer. Grippa et al. (2019) published a replicable approach that implements the random forest algorithm for the creation of a weighting layer for dasymetric mapping with the related computer code. While this code allows replicating the method, it is very specific to the experiments presented in the paper and may not fit the needs of other scientists. Moreover, since it is computer code, potential users not skilled enough in Python and R programming could be reluctant to use it. An important step of the approach has already been implemented in a GRASS GIS add-on, “r.zonal.classes” (Grippa, Grass Development Team, 2019), which consists of the zonal extraction of class proportions from categorical raster data. The tool presented today completes the implementation of this approach, in a more generic and user-friendly manner. To our knowledge, there is no other existing open-source and ready-to-use tool, with a Graphical User Interface (GUI) for creation of dasymetric mapping weighting layers, using a ML approach.

uk: вхід без авторизації

name: A tool for machine learning based dasymetric mapping approaches in GRASS GIS


uk: Комп'ютерні науки

uk: вхід без авторизації

name: An overview of GeoInformatics: State of The Art Techniques for Landslide Monitoring and Mapping


uk: Комп'ютерні науки

description: Forested areas play an integral role in the maintenance of both local and global environments. They are the bulk of Earth’s carbon sequestration for mitigating anthropogenic processes, provide natural erosion and runoff control for flooding events which have been growing in frequency because of climate change, and can offer respite for urban heat islands. The effective creation of canopy data is of utmost importance to analyze the aforementioned processes in addition to forest patterns such as disturbance, mortality, and the societal and economic effects forests can provide. Because of the importance of forests and the cycles they are apart of, it is imperative that systems are created that enable the effective monitoring of forest canopy. In particular, canopy classification using remotely sensed data plays an essential role in monitoring tree canopy on a large scale. As remote sensing technologies advance, the quality and resolution of satellite imagery have significantly improved. Oftentimes, leveraging high-resolution imagery such as the National Agriculture Imagery Program (NAIP) imagery requires proprietary software. However, the lack of insight into the inner workings of such software and the inability of modifying its code lead many researchers towards open-source solutions. In this research, we introduce CanoClass, an open-source cross-platform canopy classification system written in Python. CanoClass utilizes machine-learning techniques including the Random Forest and Extra Trees algorithms provided by scikit-learn to classify canopy using remote sensing imagery. One such similar Python module that is based on scikit-learn is DetecTree, but it does not utilize near-infrared (NIR) band imagery. Subsequently, to the best of the authors' knowledge, there are no dedicated tree canopy classification libraries that use scikit-learn in conjunction with infrared data.

uk: вхід без авторизації

name: CanoClass: Creation of an open framework for tree canopy monitoring


uk: Комп'ютерні науки

description: This presentation will introduce a high level idea of creation of a web service that returns the map content generated "on the fly". It will show how to implement any custom logic, analysis, data calculation, data interoperability and present the output on the map within the request's time span. In the heart of the service you will see Mapserver-Mapscript library. Nowadays building a web-mapping system to show maps from static data like vector and raster files seems to be an obvious task. For more complex solutions we need to make the mapping system “more intelligent”. The content of the map should be calculated, processed, transformed, fetched, created “on the fly” depending on some specific logic. To implement it, we need the proper architecture, technology and solution. Not each way is optimal, fast, smart and easy enough. Sometimes technology exploration is time consuming but the solution could be very simple. This presentation will give you some idea of creating a web service which returns the dynamic map content using Mapserver-Mapscript library and Geoserver. Authors and Affiliations – Bartlomiej Burkot Requirements for the Attendees – To understand the web mapping system structure: Understand what is WMS, basics of programming, networking. Track – Software Topic – Software/Project development Level – 2 - Basic. General basic knowledge is required.

uk: вхід без авторизації

name: Create dynamic content of the map ‘on the fly’


uk: Комп'ютерні науки

description: 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 the OSM data directory GeoSolutions 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, such as 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 labelling 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 Authors and Affiliations – Andrea Aime (1) Stefano Bovio (1) (1) GeoSolutions Group (https://www.geosolutionsgroup.com/) Track – Software Topic – Data visualization: spatial analysis, manipulation and visualization Level – 3 - Medium. Advanced knowledge is recommended. Language of the Presentation – English

uk: вхід без авторизації

name: Creating Maps in GeoServer using CSS and SLD


uk: Комп'ютерні науки

description: Discrete Global Grid Systems are a way to tessellate the entire planet into zones sharing similar characteristics, with multiple resolutions to address different precision needs, allowing integration of data coming from different data sources, and on demand analysis of data. Come to this presentation to have an introduction to the DGGS concepts, learn when they are a good fit for a specific problem, and get an update on their implementation in GeoServer. 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. Discrete Global Grid Systems are a way to tessellate the entire planet into zones sharing similar characteristics, with multiple resolutions to address different precision needs, allowing integration of data coming from different data sources, and on demand analysis of data. The presentation will introduce: * Basic DGGS concepts * The Uber H3 and the rHealPix DGGSes, comparing and contrasting their structure and use cases * A OGC API exposing DGGS for data access, and another, DAPA, for data analysis * GeoServer implementations of the DGGS concepts and APIs, based on a ClickHouse OLAP database. Come to this presentation to have an introduction to the DGGS concepts, learn when they are a good fit for a specific problem, and get an update on their implementation in GeoServer. Authors and Affiliations – Andrea Aime (1) Simone Giannecchini (1) (1) GeoSolutions Group (https://www.geosolutionsgroup.com) Track – Software Topic – Software/Project development Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – English

uk: вхід без авторизації

name: Crunching Data In GeoServer with Discrete Global Grid Systems (DGGS)


uk: Комп'ютерні науки

description: Curating machine learning datasets in international collaborations – case study on the Island of Bali State of the art environmental datasets often combine satellite-based remote sensing information with data collected by humans in the field. This poses unique challenges to data collection and curation, specially if these materials are to be made amenable to machine learning processes. And the task become more challenging in international collaborations across language differences, cultural barriers and economic gradients. This talk will present an overview of ongoing work situated on the Island of Bali that seeks to build a machine learning compatible dataset on ethnobotany collected on the ground in combination with land use data collected via satellites. This project is a collaborative effort between scholars from the US and Indonesia, as well as data collectors on the Island of Bali. The goal of the project is to make use of the synergies between remote sensing data and field data to better understand how local communities are in fact using their lands, and how tourism is impacting already limited resources on the island. State of the art environmental datasets often combine satellite-based remote sensing information with data collected by humans in the field. This poses unique challenges to data collection and curation, specially if these materials are to be made amenable to machine learning processes. And the task become more challenging in international collaborations across language differences, cultural barriers and economic gradients. This talk will present an overview of ongoing work situated on the Island of Bali that seeks to build a machine learning compatible dataset on ethnobotany collected on the ground in combination with land use data collected via satellites. This project is a collaborative effort between scholars from the US and Indonesia, as well as data collectors on the Island of Bali. The goal of the project is to make use of the synergies between remote sensing data and field data to better understand how local communities are in fact using their lands, and how tourism is impacting already limited resources on the island. Authors and Affiliations – Marc Böhlen, University at Buffalo Jianqiao Liu, University at Buffalo Wawan Sujarwo, Indonesian Institute of Sciences Rajif Iryadi, Indonesian Institute of Sciences Track – Use cases & applications Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – English

uk: вхід без авторизації

name: Curating machine learning datasets in international collaborations - case stude on the Island of Bali


uk: Комп'ютерні науки

description: The UN Vector Tile Toolkit (UNVT) project started in 2018 and it has been developed as a part of the UN Open GIS Initiative which aims to develop an Open Source GIS bundle that meets the requirements of UN operations. The toolkit includes a set of Nodejs open source scripts to be used with existing and proven open-source vector tile software (such as Tippecanoe, Maputnik, Mapbox GL JS (ver. 1.x) and vt-optimizer). This talk will introduce an example of UNVT deployment at UN and other examples including vector map delivery using Raspberry pi. After development of the basic toolsets by early 2020, we started developing an open source vector tile web map service in UN. At each phase of the vector tile development (i.e. data conversion, styling, hosting and optimizing), UNVT was utilized to proceed the process efficiently. At the first phase, the production phase, we have converted the vector tile of the whole world and updated them weekly with the developed nodejs script and Tippecanoe. The source data is stored in PostGIS data base and extracted by tile by tile due to its large data size. At the following styling phase, in order to efficiently develop a style fie, a hocon file was prepared for each style layer, then compiled into a single style json. At hosting phase, we have developed nodejs based simple vector tile hosting server which deliver the pbf files derived from mbitiles upon each request. Recently, UNVT has been used even outside the United Nations. This talk will briefly introduce such examples as much as possible. The UNVT was first introduced at FOSS4G 2019. Our toolkit is now released from the following our GitHub accounts: https://github.com/un-vector-tile-toolkit https://github.com/unvt Authors and Affiliations – Taro Ubukawa (1) , Diego Gonzalez Ferreiro (2), Paolo Frizzera (2), Oliva Martin Sanchez (2), Hidenori Fujimura (3) (1) Geospatial Information Section, Office of Information and Communications Technology, United Nations (2) Service for Geospatial, Information and Telecommunications Technologies, United Nations Global Service Centre, UN Department of Operational Support (3) Geospatial Information Authority of Japan Track – Use cases & applications Topic – Data visualization: spatial analysis, manipulation and visualization Level – 3 - Medium. Advanced knowledge is recommended. Language of the Presentation – English

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name: Deployment of open source vector tile technology with UN Vector Tile Toolkit


uk: Комп'ютерні науки

description: Nowadays we are used to consume cartography through the screen of a computer or a mobile device by means of map viewers, so that we interactively select the portion of territory we are interested in explore through a continuous territory without the traditional sheet limits of paper maps. Based on this current way of consulting geographic information, taking advantage of the possibilities offered by new technologies and preserving the essence of paper maps, the CNIG (Spanish National Centre for Geographic Information) has developed the on-demand cartography project "Mapa a la Carta” (“Map on Demand”), which highlights its cartographic information and its integration through OGC services. It is an application where the user can configure the map to their own taste and needs, allowing the choice of the portion of territory that the map will contain, the scale (within a range) and even the personalisation of the title and cover of the map. It also allows drawing points, lines and polygons on the cartography that can be labelled, or inserting other geographic data such as those that can be registered on a route on foot by means of a GPS, or other types of information downloaded from the Internet in different formats. For the development, a solution has been designed consisting of several Open Source software components. The front-end, an intuitive environment programmed in React JS, interacts with the spatial reference information by consuming the map services provided by the API-IGN, the IGN Search geographic name searches, as well as the OGC WMTS visualisation services of IGN cartography. This set of services allows the user to define the conditions of the desired map that MapFish will finally generate, in high resolution PDF format. It is very important to highlight the integration of the information with COG (Cloud-Optimized Geotiff) formats for high-resolution printing using GDAL. With all this, we go from being users or readers of cartography to creators of new maps by reusing resources, and having the digital product in PDF format in a matter of seconds with the possibility of sharing it among our contacts. Finally, to provide the solution with added value, there is also the option of having the map generated in standard or resistant paper format and with professional printing quality to be purchased in an online shop. url: https://mapaalacarta.cnig.es Technologies: WMTS, COG, GDAL, MapFish, OpenLayers, Mapea, React JS, API-IGN ________________________________________ Authors and Affiliations – Centro Nacional de Información Geográfica - Celia Sevilla Sánchez Developed by Guadaltel Track – Use cases & applications Topic – Standards, interoperability, SDIs Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – English

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name: Enjoy your trip. Customize and print your map!!


uk: Комп'ютерні науки

description: The Paris climate agreement targets limiting our global heating to 1.5°C above pre-industrial averages. However, there are reports stating that this goal is now "virtually impossible"[1] to achieve, and recent research claims that the planet is already committed to over 2°C[1] of global heating. The effects of this level of warming will be widespread and hard to predict, but one thing is clear - our ability to process and analyze geospatial data in order to monitor, model and manage Earth's natural systems will be key to responding effectively and intelligently to the challenges humanity will face over the next century. We in the open source geospatial community have the opportunity to build the technologies that will be critical to mitigating and adapting to the rising effects of climate change. In this talk I will challenge our amazing community to use its vast talents and capabilities to work towards supplying the future with the data and tools it needs in the fight to protect our Earth. [1] The risks to Australia of a 3°C warmer world | Australian Academy of Science [2] Greater committed warming after accounting for the pattern effect | Nature Climate Change The Paris climate agreement targets limiting our global heating to 1.5°C above pre-industrial averages. However, there are reports stating that this goal is now "virtually impossible"[1] to achieve, and recent research claims that the planet is already committed to over 2°C[1] of global heating. The effects of this level of warming will be widespread and hard to predict, but one thing is clear - our ability to process and analyze geospatial data in order to monitor, model and manage Earth's natural systems will be key to responding effectively and intelligently to the challenges humanity will face over the next century. We in the open source geospatial community have the opportunity to build the technologies that will be critical to mitigating and adapting to the rising effects of climate change. In this talk I will challenge our amazing community to use its vast talents and capabilities to work towards supplying the future with the data and tools it needs in the fight to protect our Earth. [1] The risks to Australia of a 3°C warmer world | Australian Academy of Science [2] Greater committed warming after accounting for the pattern effect | Nature Climate Change Authors and Affiliations – Rob Emanuele, Microsoft Track – Community / OSGeo Topic – FOSS4G for Sustainable Development Goals (SDG) Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – English

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name: FOSS4G and the climate crisis: Let's get to work


uk: Комп'ютерні науки

description: Lakes ecosystems are exposed to growing threats due to climate change and other anthropic pressures. For example, water warming is predicted to favour harmful algal blooms (HABs) that are toxic to peoples and animals. In addition, warming tends to increase the thermal stratification of lakes and reduce turnovers, which can lead to oxygen depletion in deep layers and release of toxic gases (methane, hydrogen sulphide) from sediments. Similarly, the increased use of plastics has produced nano- and micro-plastics pollution which, together with anthropogenic micropollutants, is posing a new emerging risk factor to lake biota. To effectively study and manage those issues, researchers and managers need monitoring data (observations) to derive effective data-driven management policies. Observations have traditionally been collected from limnological vessels through periodic (often monthly) monitoring campaigns, during which water samples are collected for further analyses in the laboratory and various measurements are performed using on-board instruments (e.g. CTD sonde measuring Conductivity, temperature and Depth or Secchi disk to observe turbidity). However, environmental issues including HABs and changes in lake stratification due to warming, call for a shift towards monitoring approaches that allows higher-frequency (e.g. hourly od daily) automatic collection of key water-quality properties (e.g. phytoplankton concentration, temperature, dissolved oxygen). Therefore, to match current challenges, leverage better phenomena understanding and activate proactive measures, monitoring systems have to be updated to provide a better temporal and spatial resolution. At the same time, this development should not increase the costs of monitoring, which are often a limiting factor in lake management. Authors and Affiliations – Massimiliano Cannata proffessor of geomatics at the Institue of Earth Science, SUPSI, Switzerland. Track – Academic Topic – Academic Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – English

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name: FOSS4G based high frequency and interoperable lake water-quality monitoring system


uk: Комп'ютерні науки

description: The Metropolitan Area of Buenos Aires is the third largest in Latin America, with millions commuters using public transport every day. As government officials we must make sense of the massive amounts of location data generated by our transport system. We used Apache Spark in combination with Geomesa in order to process over 100 million monthly GPS records from buses to create individual trajectories between terminals, infer direction of travel and derive meaningful performance indicators of transportation. We conclude that this is a great combination of tools to tackle big-geo and mobility problems of the kind expected in a big city government. Buenos Aires Metropolitan Area is home to more than 15 million people and the third largest in Latin America. In the last few years, the City Government has dedicated great resources to become an innovation leader in the region. As in most cities across the world, mobility and transportation are one of the most important aspects of life in the city with around 3.4 million daily users before the pandemic and around 2.4 million these days. As government officials, we face the challenge of making sense of the massive amount of location data generated by the public transport system. Achieving this allows us to propose and prioritize new projects, perform program impact assessments, make network and infrastructure changes, and ultimately to improve the life of citizens. In order to better understand mobility, we set ourselves to identify individual trajectories from bus GPS records. Buses are the most widespread mode of transport, and they are used in more than 90% of the total trips in the metropolitan area. We first approached this problem on a sample on a Postgres database, and quickly found that for our need of processing ~100M monthly records Postgis would not be enough. At that point, we turned to Apache Spark and Geomesa, a free and open-source suite of tools that allows geospatial analyses in a distributed fashion. We ingested GPS records into Spark and constructed point geometries from latitude and longitude attributes. We then partitioned the data using the bus line and individual vehicle, and calculated the differences in location and timestamp of each point relative to the previous one. We then applied spatially aware rules to identify the moment when a bus leaves or enters its corresponding terminal’s area of influence, and used them to define the beginning and end of individual bus trips. Using the terminal data, we were also able to infer the direction. Finally we created linestring geometries from all points belonging to the same trip. These trips geometries with its associated attributes were then exported into a spatial database in order to visually communicate and analyse our results. Starting from over 100M monthly GPS records, we identified ~1.5M individual bus trips, completed by more than 130 bus lines. Around 89% of records ended up as part of a trajectory and ~11% were discarded due to bad quality, or not meeting the criteria set to belong to a trajectory. With these individual trajectories we were able to produce key performance indicators of the bus transportation system and to encourage evidence-based decision-making inside the government. In conclusion, we can say that SparkSQL & Geomesa are a great combination of tools to tackle big-geo and mobility problems expected in a big city government. They enabled us to identify millions of bus trajectories, and derive useful KPIs to support data-driven decisions. Authors and Affiliations – Villarroel Torrez, Daniel (1) Armesto Brosio, Andrés (1) (1) Undersecretariat for Evidence-based Public Policy, Buenos Aires City Government. Track – Use cases & applications Topic – Government and Institutions Level – 3 - Medium. Advanced knowledge is recommended. Language of the Presentation – English

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name: FOSS4G tools for data-driven decisions: Public transport services in the Buenos Aires Metropolitan Area.


uk: Комп'ютерні науки

description: Livestock herders in Mali and Burkina Faso live under the twin threat of drought and armed conflict. Moving their herds to find pasture and water depends critically on access to reliable information. This talk discusses a call center that uses open Earth Observation imagery and field data to provide herders with information on pasture, water and market conditions. The talk will go over the architecture of the data treatment, demo the interface, talk about successes and failures and show how you can play with the data yourself. Transhumance, or the seasonal movements of livestock herds to find pasture and water, is a centuries-old tradition in Mali and Burkina Faso. The process of selecting routes for movement hinges on a complex network of factors including customary access rights, pasture growth, rainfall, surface water, among others. However, years of climate change and armed conflict have made herding more precarious and prone to rapid changes. As a result, access to data on environmental and market conditions is critical for pastoralists. While satellite imagery has made much of this information readily accessible to the spatial community, few channels exist to transmit this information to herding communities. In 2015, the GARBAL call center was built to provide this data to herders in Mali and Burkina Faso. The call center is powered by an open platform GIS built from remote sensing data on vegetation and water and field data on market prices and animal conditions. Herders calling the center are connected to an agent who uses dashboards to respond to their questions: Is pasture available near me? Is it crowded by other herds? Can I sell my goats for a good price? The call center’s goal is to provide herders with decision-making support in planning their routes. The interface is built on mapserver and uses automated scripts to download and treat Sentinel 2 satellite imagery which then display information on pasture conditions and water availability. Field data is routed through a network of local data collectors who provide weekly updates on livestock conditions and market prices. In addition to an interactive map, the interface provides user-friendly textual outputs that summarize all the layers for any area of interest on the map, which allows call center agents to quickly provide data to callers. This talk will share a number of the lessons learned from the STAMP project and provide a demonstration of the platform (which is openly accessible). Specific topics of discussion will include: The architecture of the system- what worked and what didn’t Maintaining regular field data collection in areas of ongoing active conflict Building and translating GIS data for communities with low literacy Examining the call records to see what data matters the most to users You can use the platform at www.stamp-map.org. For more information, contact Alex Orenstein (info@orensteingis.com / @oren_sa) Authors and Affiliations – Alex Orenstein, DaCarte (Dakar, Senegal) Track – Use cases & applications Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 1 - Principiants. No required specific knowledge is needed.

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name: GARBAL: An open GIS for livestock herders in Mali and Burkina Faso


uk: Комп'ютерні науки

description: GeoRaster Layer for Leaflet is a Leaflet plugin for visualizing GeoTIFFs on a web map. By directly reading the GeoTIFF file data and running all computations client-side in the browser, this library helps you easily put a GeoTIFF on a map without needing to run a server or write a lambda function. This talk will go over some short code examples and use cases. Familiarity with JavaScript is recommended but not required. GeoRaster Layer for Leaflet is a Leaflet plugin for visualizing GeoTIFFs on a web map. By directly reading the GeoTIFF file data and running all computations client-side in the browser, this library helps you easily put a GeoTIFF on a map without needing to run a server or write a lambda function. This talk will go over some short code examples and use cases. Familiarity with JavaScript is recommended but not required. Authors and Affiliations – Daniel J. Dufour GeoSurge, LLC Track – Software Topic – Software/Project development Level – 2 - Basic. General basic knowledge is required.

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name: GeoRasterLayer for Leaflet: Truly Server-Free GeoTIFF Visualization


Geoscan: spatial data country profile

uk: Комп'ютерні науки

description: For international development agencies, timely and accurate geospatial data is an essential tool for evidence-based decision-making. Yet gathering, analyzing, and presenting geospatial data is a complex and time-consuming activity that requires a specialized skill-set. This presentation shares the experience of an Innovation Challenge project implemented at the International Fund for Agricultural Development (IFAD) - a specialized UN agency and financial institution. The main goal was to minimize the time and knowledge required to gather and process a vast array of relevant geospatial layers, providing a standardized approach applicable to every country of operation in IFAD’s activities. This objective was achieved via the implementation of automation procedures using open source tools, which resulted in a reduction of the required processing time by a factor of 40 (from 2 weeks to 2 hours). GeoScan is based entirely on an open-source technological stack and uses the latest, verified data sources, providing various levels of users with different information products: automated pdf atlases, ready-to-use GIS data, metadata and web services, web applications, and an interactive user dashboard. The project included the following activities: Data needs evaluation, relevant to the international development sector and aligned with IFAD’s strategy in the agricultural environment in rural areas. Literature and data review to match the identified data needs. Data selection, validation, and detailed documentation on the selected geospatial layers. Data standardization and ontology with automated processing for data structuring, visualization, and statistics calculation. Preparation and generation of automated country reports and structuring the data in GIS data packages. Integration with the enterprise GIS infrastructure in IFAD. Development of interactive web GIS application and dashboard. The project made extensive use of QGIS, GDAL, Postgre/PostGIS, Geonode, Geoserver, and OpenLayers. The GeoScan application aims at standardizing the data collection and analysis workflow, providing a range of end products that have multiple uses in the international development environment. After an extensive data review, over 180 datasets from 28 data providers have been downloaded for local processing. The data providers include various organizations such as NASA, European Space Agency, European Commission Joint Research Center, FAO, as well as Open StreetMap, Google Earth Engine, and many others, depending on the various data theme needs. Following ISO19115 core theme requirements and ISO country codes, we have created a standardized naming convention for all data, enforced through an automated process. Data processing includes renaming, restructuring, clipping to the region of interest, statistics calculation, standardized visualization. Automation has been implemented in Python, leveraging the QGIS environment as needed, but an experimental dedicated QGIS plugin has been developed as well. To produce summary documents, we have used QGIS Atlas to generate automated pdf reports for all 37 countries of interest, each including about 175 maps. For offline usage and further processing, all data has been structured with proper metadata description, styles, and QGIS project for direct utilization by GIS professionals. The data and reports have been uploaded online to make them available through IFAD’s Geonode platform, which provides them in multiple forms: web service, web application, pdf report, and actual GIS data. A selected set of indicators is available through a custom-developed web GIS dashboard for the region of West and Central Africa. Authors and Affiliations – Lyubomir Filipov, GIS Consultant at the International Fund for Agricultural Development. Giuseppe Baiamonte, GIS Consultant at the International Fund for Agricultural Development. Track – Use cases & applications Topic – Data visualization: spatial analysis, manipulation and visualization Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – English

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Google Summer of Code with OSGeo

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description: OSGeo's Google Summer of Code Initiative has been an inspiring and motivating platform for new student developers to join the OSGeo projects, community projects, guest projects, and incubating projects. In 2021, OSGeo is participating for the 15th year in the Google Summer of Code, and it itself is a great achievement. With this talk, the OSGeo GSoC Administrators shall try to put forth the importance of GSoC with respect to the students and participating projects. The admins would focus on the development of projects with GSoC and encourage projects to be a part of the upcoming GSoC. Over the years, OSGeo's Google Summer of Code initiative has transformed into an initiative full of contributions towards geospatial software development. In the last 15 years, many OSGeo projects comprising incubating projects, community projects, and guest projects have progressed attributed to the contributions of student developers. Some of these students continued to participate as contributors for the projects and went on to take mentoring and organizing responsibilities. This is a true sense of FOSS4G in terms of individual and collective growth of the student developers and the OSGeo community. In this talk, the OSGeo GSoC Admins team would try to appreciate the efforts of all the mentors and students involved till now and present the state of the GSoC 2021. The Admins would also present possibilities for new projects to be part of the GSoC with OSGeo as an umbrella organization. Authors and Affiliations – Rajat Shinde (1), Rahul Chauhan (2), Indian Institute of Technology Bombay, India (1) Track – Community / OSGeo Topic – Community & participatory FOSS4G Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – English

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