uk: Науки про Землю(крім географії)

uk: Комп'ютерні науки

uk: Бібліотекознавство, документознавство

uk: Математика, природничі науки

uk: Гуманітарні науки

uk: вхід без авторизації

name: The Geometry of Mobility Curb Management and OSM


Teams! Teams! Teams!

Marc Farra

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

uk: Бібліотекознавство, документознавство

en: Information and Library Sciences

de: Biologie

uk: Біологія

en: Biology

de: Mathematik, Naturwissenschaften

uk: Математика, природничі науки

en: Mathematics, Natural Sciences

de: Geisteswissenschaften

uk: Гуманітарні науки

en: Humanities

cs: Technické vědy

de: Ingenieurwissenschaften

fi: tekniikka

uk: Інженерія

en: Engineering Sciences

fr: Ingénierie

da: Ingeniørvidenskab

es: Ingeniería

nl: Engineering

description: In this session I'll give a quick run-through of building an OAuth2 identity layer on top of the OSM login. I demonstrate OSM teams, an api you can integrate with to read, create, and modify lists of mappers. These teams will then sync automatically across the entire OSM ecosystem.

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

OpenStreetMap US

type: Organization

cs: Video

de: Video

fi: Video

uk: Відео

en: Video

fr: Vidéo

da: Video

nl: Video

es: Video


Supporting Local Groups on osm.org

de: Geowissenschaften (ohne Geographie)

uk: Науки про Землю(крім географії)

en: Geosciences (excl. Geography)

uk: Комп'ютерні науки

uk: Бібліотекознавство, документознавство

uk: Математика, природничі науки

uk: Гуманітарні науки

description: Discuss and maybe demo new features on osm.org to support city sized groups of mappers. These features include managing membership, organizing mapping events including RSVPs, sending email newsletters, organizing local campaigns like syncing data with city GIS, measuring coverage, and integrating with existing QA services.

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Бібліотекознавство, документознавство

uk: Гуманітарні науки

description: Development Seed’s partners collect, validate, store, and analyze geospatial data. That data sometimes fits into the purpose & schema of public OSM, but occasionally that data must remain private, and requires custom presets and features. In other cases, organizations which regularly make public contributions to the map still need a way of directing their members specifically towards institutional priorities and areas of expertise. Over the years, we have taken to State of the Map US to demonstrate different components of our approach to using OSM-as-infrastructure to solve problems. This year, we’re unboxing our complete stack of open-source tools for setting up mapping workflows at any level: Observe: Cross-platform mobile application for field data collection OSM-Seed: platform for running an in-house custom OSM Scoreboard: providing feedback to mapping teams by visualizing activity and rewarding contributions Teams: collaborative team features for OSM users In this talk, we’ll discuss decisions we’ve made through working with institutional partners to guide and improve their mapping workflows, and demonstrate how you can start using these tools.

uk: вхід без авторизації

name: OSM powerups: upgrade your mapping toolbox from collection to analysis


uk: Комп'ютерні науки

uk: Бібліотекознавство, документознавство

uk: Гуманітарні науки

description: OpenStreetMap is unique since anyone can edit the map - but it’s hard to get quick access to updated data. PBF download services for the planet or extracts update daily or weekly. Some database tools or third party tile providers update minutely. A core pain point in providing timely data is that working with the planet PBF is difficult. I’ll introduce OSM Express (OSMx), a new spatial file format for any OSM extract, even the entire planet. OSMx is a simple binary program and C++ library based on S2 Geometry that doesn’t need a server process. I’ll show how you can create “metro extracts” in seconds and update the planet via minutely diffs. I’ll also share performance tips and outline some use cases.

uk: вхід без авторизації

name: OSM Express - a spatial file format for the planet


OSM + Wikidata + Metadata +...

uk: Комп'ютерні науки

uk: Бібліотекознавство, документознавство

uk: Гуманітарні науки

description: Meaningful knowledge from multiple data sources - presenting Sophox - a way to query and merge OSM data with the metadata documentation from OSM wiki, federated queries into Wikidata and any other RDF data source.

uk: вхід без авторизації


OpenStreetMap for Location Data Privacy

uk: Комп'ютерні науки

uk: Бібліотекознавство, документознавство

uk: Науки про Землю(крім географії)

uk: Математика, природничі науки

uk: Гуманітарні науки

description: Location data that maps our movements is increasingly ubiquitous and increasingly open. This data has important benefits to society and our planet, but also carries risks that need to be carefully mitigated to protect the safety of vulnerable populations. OpenStreetMap is used to help understand the privacy risks of trip data, and in many cases, to remove those risks. This talk will discuss how I have been using OpenStreetMap to collaborate with organizations through security disclosures that safeguard user privacy when location data is opened to the public.

uk: вхід без авторизації


ODbL license compatibility

uk: Комп'ютерні науки

uk: Бібліотекознавство, документознавство

uk: Гуманітарні науки

description: Have you wondered if a certain dataset can be used for OSM? What does it mean for a license to be “compatible” with OSM and ODbL? This talk will give pointers on where to look for information, common compatibility issues, and best practices for presenting a license to LWG for help review. Have you wondered if a certain dataset can be used for OSM? What does it mean for a license to be “compatible” with OSM and ODbL? This talk will give pointers on where to look for information, common compatibility issues, and best practices for presenting a license to LWG for help review. Outline: Sources of information about the license Website (page from which data is downloaded, about page, FAQ, TOS) Accompanying file (e.g., README, LICENSE) Terms, credits, etc. Metadata Information about licenses/dataset previously evaluated for use with OSM Imports wiki page License compatibility page forums/lists US data Federal data and the public domain State data Local data Common compatibility issues Attribution Use restrictions (e.g., noncommercial/personal/research) Privacy Sharealike Revocability Indemnity Local laws Things that are usually not a problem (disclaimer of warranty/accuracy, trademarks, governing law, ) Making it easy for others to read a license Link everything! Include all information about the source Where to obtain Description of where/who the data is from Include all information about the license What the license is Any info about permitted uses Any prior OSM discussion Flag common compatibility issues and why you think they are or are not issues Quote the relevant sections of the license (include the section number!) Explain your reasoning If the license references other laws/regulations/terms, look them up and link to and quote from them.

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Бібліотекознавство, документознавство

uk: Гуманітарні науки

description: n this talk, Martijn will introduce MapRoulette and show you how you can use this Micro-Tasking tool to help improve OSM! MapRoulette is a website that lets you solve small problems (Tasks) that exist in OpenStreetMap: fixing misspelled names, connecting disconnected roads, even adding rooftop solar panels detected by machine learning! Mappers have solved millions of tasks with MapRoulette already. Martijn will show you how to join their ranks, select some interesting challenges that others have created, and demonstrate how you can create tasks for the community to help solve! Even if you have used MapRoulette before, you should join to learn about the great new features that have been added to MapRoulette recently like Leaderboards, improved Challenge search, and great new tools for creating new tasks!

uk: вхід без авторизації

name: MapRoulette: Mircotasking for OpenStreetMap


uk: Комп'ютерні науки

uk: Бібліотекознавство, документознавство

uk: Гуманітарні науки

description: OSM has tens of thousands of unique keys, and uncountable number of "known" values (like those for type, denomination, ...). This lightning talk will show how to make sure all these tags are understood by others in just a few seconds using OSM wiki. No wiki markup needed!

uk: вхід без авторизації

name: Making sure your work is understood by others


uk: Науки про Землю(крім географії)

uk: Комп'ютерні науки

uk: Бібліотекознавство, документознавство

uk: Математика, природничі науки

uk: Гуманітарні науки

uk: вхід без авторизації

name: Machines and Mappers: How AI and tooling can assist with OSM Data Integrity


iD v3

uk: Комп'ютерні науки

uk: Бібліотекознавство, документознавство

uk: Гуманітарні науки

description: Learn what’s new with iD! Bryan and Quincy share our vision for the future of the iD project. We’ll discuss the challenges, lessons learned, and progress made as we look ahead to version 3.

uk: вхід без авторизації


uk: Комп'ютерні науки

uk: Бібліотекознавство, документознавство

uk: Науки про Землю(крім географії)

uk: Математика, природничі науки

uk: Гуманітарні науки

uk: вхід без авторизації

name: How Map Matching Failures can be used for Map Making


uk: Комп'ютерні науки

uk: Бібліотекознавство, документознавство

uk: Науки про Землю(крім географії)

uk: Математика, природничі науки

uk: Гуманітарні науки

uk: вхід без авторизації

name: Get Your Colleagues Mapping How to run a corporate mapathon


uk: Комп'ютерні науки

uk: Бібліотекознавство, документознавство

uk: Науки про Землю(крім географії)

uk: Математика, природничі науки

uk: Гуманітарні науки

description: Machine Learning at scale can be a great way of extracting information from satellite imagery. Microsoft open maps team at BING, BING Maps would like to share the journey and experiences as we processed millions of pixels to extract buildings in Canada. They are available on our GitHub page.

uk: вхід без авторизації

name: Buildings! Buildings! More Buildings, This time in Canada!


A turbo introduction to Overpass

uk: Комп'ютерні науки

uk: Бібліотекознавство, документознавство

uk: Гуманітарні науки

description: Who? What? When? Where? How many? The Overpass API and Overpass turbo are essential tools for making sense of OpenStreetMap data. Learn how to dash off a quick wizard query, go deep with OverpassQL for common tasks, and integrate the results into mapping workflows. This introduction to Overpass does not require any programming or GIS experience, but familiarity with OSM tagging is recommended.

uk: вхід без авторизації


uk: Науки про Землю(крім географії)

uk: Комп'ютерні науки

uk: Бібліотекознавство, документознавство

uk: Математика, природничі науки

uk: Гуманітарні науки

description: Deep learning algorithms offer the potential to rapidly extract foundational mapping information directly from satellite imagery. Such algorithms can map regions of interest far faster than human labelers (making them especially valuable for mapping in the immediate wake of natural disasters) but they generally require a large amount of training data to build useful models. Such training data is often expensive and time-consuming to gather. In this session, we explore the dependence of model performance on the amount of training data available, for the case of a typical building footprint extraction effort. Training data sizes ranging over nearly three orders of magnitude are drawn from the thousands of square kilometers of labeled imagery in the SpaceNet dataset. We demonstrate that an optimal range exists in training data size, beyond which more data brings only limited performance gains. This range provides an important target for future labeling campaigns and deployment efforts. Using best practices for placing error bars on machine learning performance metrics increases the value of the results. Finally, we also discuss analyses of performance variance with multiple geographies and deep learning model architectures, considerations that affect the transferability of these results.

uk: вхід без авторизації

name: A deep dive on training data requirements for mapping with deep learning


uk: Комп'ютерні науки

uk: Бібліотекознавство, документознавство

uk: Гуманітарні науки

description: Building forward from our work on Mobius Logical Changesets (presented last year at SotM US 2018), we have created an automated ingestion and integrity framework for OSM data that allows us to selectively update parts of the map instead of doing a full snapshot change all at once. Decomposing a large set of changes in this way gives us the flexibility to rapidly ingest our own additions to the map, focus on geographical areas of importance to downstream products, and allows us to quickly apply hotfixes whenever egregious problems do arise. With millions of tiny changes happening every week, we have created a system that is built on per-feature approval and preprocessing, that allows us to ingest changes at scale, while creating rules to automatically process logical changesets and enforce integrity constraints (e.g. anti-vandalism, anti-profanity etc.). Due to the contextual nature of some of the changes in OpenStreetMap, the system combines Human Approval, necessary for highly visible features such as names of large administrative areas, with Automated AI/ML-based approval: for example, using computer vision techniques to reconcile newly created features against satellite imagery ground truth, or applying NLP techniques to determine whether other user-visible string changes are sensible and valid. These components are combined to create a continuous ingest-validate-deploy cycle for OSM map data.

uk: вхід без авторизації

name: “Keepin' it fresh (and good)!” Continuous Ingestion of OSM Data at Facebook


uk: Комп'ютерні науки

description: QWC2 (QGIS Web Client 2) is the official web application of QGIS, that allows you to publish your projects with the same rendering, thanks to QGIS Server. The environment is composed of a front-end framework and several server-side micro-services which enhance the basic functionalities of QWC2. This talk aims at introducing this application with some micro-services and to show how easy it is to publish your own QGIS projects on the web, either with a web administration interface, or with a QGIS plugin. It will also be an opportunity to discover the last new features that have been developed in the past year and ideas for future improvements. QWC2 (QGIS Web Client 2) is the official web application of QGIS, that allows you to publish your projects with the same rendering, thanks to QGIS Server. The environment is composed of a front-end framework and several server-side micro-services which enhance the basic functionalities of QWC2. This talk aims at introducing this application with some micro-services and to show how easy it is to publish your own QGIS projects on the web, either with a web administration interface, or with a QGIS plugin. It will also be an opportunity to discover the last new features that have been developed in the past year and ideas for future improvements. Track – Software Topic – Software status / state of the art Level – 3 - Medium. Advanced knowledge is recommended.

uk: вхід без авторизації

name: Easily publish your QGIS projects on the web with QWC2

name: Open Source Geospatial Foundation (OSGeo)


uk: Комп'ютерні науки

description: Whether for your own use or deploying QGIS in a enterprise setting having knowledge of the command landline options is extremely useful. As well as giving a brief overview of the available command lines this talk will show how the command line options can be used to deploy QGIS silently within a Windows environment. This talk will give a brief summary of the command line options available to QGIS to open it with specific UI config and certain plugins already set for use. It will also give a demonstration of how these options can be used in a simple batch file to deploy QGIS within a windows environment Track – Software Topic – Software/Project development Level – 2 - Basic. General basic knowledge is required.

uk: вхід без авторизації

name: Deploying QGIS using command line options


uk: Комп'ютерні науки

description: The rapid growth in Earth Observation data to monitor climate hazards has created new opportunities to leverage technology and data science to reduce the risk of droughts, floods, and tropical storms. But there are still significant barriers in accessing and using Earth Observation data operationally, especially in countries with limited resources - which are also the most affected by climate change. To help overcome some of these challenges, the UN World Food Program has developed an open source software solution called PRISM, which simplifies the process for creating an interactive web-based mapping application built on React that can visualize and analyze climate hazard data published through OGC standard web services. During this talk, we’ll present the problem we aimed to solve, the technology choices we’ve made, and our rationale for opting to go open source for this solution. The UN World Food Program with technical support from Ovio (https://ovio.org/), has developed an source technology solution called PRISM - that provides an intuitive map-based interface to prepare for, monitor, and respond to natural hazards. PRISM has been launched in a handful of countries in Asia and new deployments are underway in Africa as well. When coupled with WFP’s forthcoming deployment of another open source technology - the Open Data Cube - PRISM provides an intuitive tool to monitor climate risks without the need for programming or remote sensing skills. We seek to make PRISM a collaborative project and to engage the broader open source community to further improve the system and to create a support ecosystem for new deployments beyond those led by WFP. 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.

uk: вхід без авторизації

name: Delivering open source solutions to humanitarian organizations and governments in low resource settings to plan for, monitor, and respond to climate-driven disasters


Deep Dive with TileDB and SONAR

uk: Комп'ютерні науки

description: We should show our SONAR data the same love and attention as the rest of our point clouds. SONAR suffers from the same challenges of scale, datasets split across thousands of files, and inability to quickly manipulate data. And yet, SONAR is one of the most interesting point cloud data types that should be analyzed at cloud scale, from finding shipwrecks to knowing whether a vessel is going to block the Suez Canal. This is where TileDB Embedded can help as an open-source library and cloud-native data engine for working with large multi-dimensional arrays. TileDB Embedded can help accelerate SONAR analysis workflows in several ways. First, I will cover how analysis-ready TileDB arrays of many TBs can be sliced directly from cloud object storage in seconds, returning dataframes that are easily accessible from Pandas in Jupyter notebooks. Next, I will present TileDB integrations with familiar SONAR and point cloud tools like MB-System and PDAL, and how TileDB can help apply this information with modern data science techniques. Finally, I will show real use-cases of TileDB with SONAR point clouds. With TileDB, you can avoid downloading full datasets and working across several domain-specific libraries. TileDB allows you to efficiently extract specific features and points of interest. The talk will conclude by addressing these challenges with a demo of subsea point cloud analysis. TileDB Embedded is a powerful storage engine architected around dense and sparse multi-dimensional arrays. SONAR is sparse 3D data, so TileDB is an ideal solution. As SONAR data makes its way from desktops to the cloud, an open-source data science ecosystem will be crucial in making the leap. TileDB Embedded (https://github.com/TileDB-Inc/TileDB) is particularly well-positioned to close this gap with numerous open-source integrations and cloud-native performance that will make SONAR relevant in modern data science. Integrations TileDB Embedded brings together many integrations including open-source libraries for PDAL, GDAL, Rasterio, and SAR data. The larger vision is to make TileDB Embedded interoperable with all popular SQL engines and data science tools. Slicing conforms to NumPy-like syntax. Existing connectors include Apache Spark, Dask, xarray, PrestoDB, and MariaDB. In the case of Python Jupyter notebooks, TileDB also has integrations for 3D visualization, including a notebook widget using Babylon.js. TileDB Embedded supports a variety of APIs built on top of its core C++ library, including Python, R, Java, and Go. Performance With TileDB Embedded you can ingest TBs of data, compress it at the network edge, and slice it quickly. TileDB offers great compression because of its columnar format. It organizes data on disk in a way that makes existing compressors more effective. Users can apply arbitrary compression filters in combination on each array attribute, mixing and matching filters from one column to the next. Slicing millions of points from a large TileDB Embedded array takes only seconds. Data is persisted in an analysis-ready format — both locally on a laptop or remotely on cloud object storage. Sparse datasets are traversed efficiently thanks to R-Tree indexing, and offer other options like Hilbert curve ordering. This talk will serve as your jumping-off point for TileDB and SONAR, and I look forward to diving right in! Track – Use cases & applications Topic – Sensors, remote sensing, laser-scanning, structure from motion Level – 1 - Principiants. No required specific knowledge is needed.

uk: вхід без авторизації


keywords:
open data
earth monitor
environmental data
open science
remote sensing
stakeholder engagement
land cover
Earth

uk: Комп'ютерні науки

description: Tom Hengl, co-founder and technical director at OpenGeoHub foundation, introduced the Open-Earth-Monitor project and illustrated its missions, goals and activities at the 'Innovative governance, environmental observations and digital solutions in support of the European Green Deal’ workshop held in Wageningen (NL) on July 19th.

uk: вхід без авторизації

name: What is the OEM cyberinfrastructure project?: Introduction to the project


uk: Комп'ютерні науки

description: G3W-SUITE is a modular, client-server application (based on QGIS-Server) for managing and publishing interactive QGIS cartographic projects. The suite is made up of two main components: G3W-ADMIN (based on Python and Django) as the web administration interface and G3W-CLIENT (based on Javascript and OpenLayer3, using Vue.Js) as the cartographic client. This components communicate through a series of API REST which makes them totally interchangeable. The application is compatible with QGIS 3.16 LTR and it is based on strong integration with the QGIS API. G3W-SUITE integrates the QGIS Python API totally, the suite itself works as a WMS, WFS, WCS server. The QGIS APIs are used to access vector data both in reading and in writing (editing module), they are also used to filter the data using the QGIS expression system or through direct queries on the provider (for example for PostgreSQL data provider ) in a different way for different users or groups of users. Graphic-functional aspects, OGC services exposed, specific functions and access/management policies can be defined on the QGIS project and on the administration component. QGIS PROJECT SETTINGS Many graphic/functional aspects of the WebGis publication derive directly from QGIS projects as, first of all, the general and OGC services capabilities. The suite also allows you to automatically inherit aspects related to the project (1: N relations, simple and atlas print layout, filter on legend based on map content, layer display order and activation status ...) and related to individual layers (activation scale, interrogability, published attribute fields, join attributes, attribute form, editing widgets ...) ADMINISTRATION QGIS projects can be published as WebGis services via direct upload (no plugins needed) on the G3W-ADMIN. The granular system of permissions and the subdivision into roles of users (individuals or groups) allows the management of services to be delegated to second and third level administrative users. It is also possible to define consultation permissions on individual WebGis services and editing permissions on individual layers. It is possible to define geographic and alphanumeric constraints (both in consultation and in editing and based on SQL language or QGIS expressions) differentiated by individuals or groups of users. EDITING A particularly advanced function is related to online editing and to the possibility of easily creating web cartographic management systems by defining the various aspects at the level of the QGIS project. This function (operating directly on the data through the QGIS API) allows multi-user editing thanks to a feature-lock system. Editing works both at the geometric level (with the possibility of intra- and inter-layer snap), and at the attributes level also connected by joins or 1: N relationships. The suite allows you to define the structure of the editing form and the widgets associated with the individual fields on a QGIS project. PLOTS G3w-SUITE is integrated with GIS DataPlotly plugin. The plots created with the plugin and saved as xml, can be uploaded to the suite for viewing them on the client side. Requirements for the Attendees – Basic knowledge of QGIS. Track – Software Topic – Software status / state of the art Level – 2 - Basic. General basic knowledge is required.

uk: вхід без авторизації

name: G3W-SUITE: in OS framework for publishing and managing QGIS projects on the Web


uk: Комп'ютерні науки

description: Many innovative analysis approaches presented in scientific publications are hard or impossible to reproduce. This slows down the uptake of new ideas and makes it harder for others to improve on these ideas. Just as open science in general needs open source software, it is clear that open and reproducible spatial data science needs open source GIS. In this talk, I will share my vision for the future of spatial data science in academia and industry, related challenges and potential beyond the core community of geospatial experts. Track – Panel Topic – Community & participatory FOSS4G Level – 1 - Principiants. No required specific knowledge is needed.

uk: вхід без авторизації

name: Open source for open spatial data science


Closing FOSS4G and Farewell

uk: Комп'ютерні науки

description: Track – Community / OSGeo Topic – Community & participatory FOSS4G Level – 1 - Principiants. No required specific knowledge is needed.

uk: вхід без авторизації


Copernicus and the Energy Challenge

uk: Комп'ютерні науки

description: The energy sector will drastically change in the following years; multiple agreements have been signed by countries with the purpose to reduce carbon emission and contain the global temperature increase. Besides, in the next years the energy demand will increase with the growth of the Information and Communications Technology sector. To combine these two aspects, future energy needs to be produced with renewable resources and less with fossil fuels. An opportunity to discover and plan the use of renewable energy resources are geospatial data derived from satellite acquisitions. The European Earth Observation programme Copernicus provides multiple datasets in an Open Science approach. Within this paper, multiple datasets offered by Copernicus services are presented in relation to their exploitation for the energy system analysis, with a particular attention to renewable energy. The datasets will be analysed according to their properties and possibility of usage. Additional Copernicus satellite derived data that can benefit the emerging topic of the food-energy-water nexus are finally presented to point out significant development in the energy sector which is recently claiming growing attention. In 2015 the Paris Agreement was signed by 196 Parties with the purpose to keep the increase in global average temperature to well below two Celsius degrees above the pre-industrial levels. In 2019, the European Commission proposed the new European Green Deal, supported the creation of "An Open, Democratic and Sustainable Society", and stated the necessity of reaching climate-neutrality by 2050. But, as reported in the plan, the energy demand will grow in the coming years due to the increase in the ICT sector. These two requests can be satisfied only with the use of renewable energy, which is based on natural resources, such as sunlight, wind, rain, waves, geothermal heat and biomass and the drastic reduction of the energy produced by burning fossil fuels such as oil, coal and gas. Being the energy question one of the most challenging, geospatial experts are active in exploring how they can contribute to this field. The use of data provided by satellites offers a relevant opportunity to this aim. Copernicus data have been successfully used in some past research, but its full potential has not been completely exploited. In 2019, the Copernicus data were used to create online monitoring and estimation application SEAP (Solar Energy Assessment and Planning) (Moreno-Garcia et al., 2019) for photovoltaic production. The tool interrogated the API of the climate data store (CDS) of the Copernicus Climate Change Service and could determine the energy produced, also providing forecasts from short-term to long-term to climate change conditions. The studies use climate variables of the solar radiation, air temperature at soil level, wind speed at soil level and precipitation. The data are provided with sub-daily (6h) and daily periods. Also, the authors use historical data to calibrate the application. The potential in tidal energy in the Moroccan Atlantic Ocean and the Mediterranean Sea has been analysed by (Hariss et al., 2020). The research used the dataset from the Copernicus Marine Environment Monitoring Service of the Iberia-Biscay-Ireland Regional Seas. The dataset provided multiple pieces of information on physics, biogeochemistry and waves. The results of the research show the potential of the coasts as a source of renewable energy. These examples show how the Copernicus data could be used for different approaches. The data could provide an introductory analysis as in the latter research. Either, they could also provide a final service to the plants' managers for technical management. Copernicus provides multiple other services that could be useful for other renewable energy sectors. The scope of the paper is to illustrate and describe the most interesting ones found in the different services. (1) Politecnico di Milano, Department of Civil and Environmental Engineering, Milano, Italy (2) Ricerca Sistema Energetico–RSE SpA, Milan, Italy Track – Academic Topic – Academic Level – 2 - Basic. General basic knowledge is required.

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uk: Комп'ютерні науки

description: Ecological niche models are being increasingly used to analyze the potential distributions of species, the effect of climate change, biological invasions, and other biogeography questions. A myriad of methods and workflows exist for ENM; some common steps are common to most of them, but there must be flexibility depending on the research question. Moreover, reporting the methodology and decision-making should give robustness to the conclusions. With the recent emphasis on reproducibility, a new set of practices, such as metadata recording, script-based applications, version control, and software version awareness can be included to the general workflows to ensure transparency. Here, we present modleR, an R package that implements such a reproducibility workflow for Ecological Niche Modeling. We also propose some guidelines for writing reproducible R code in ecology workflows in general. We shall present the generalities of ENM workflows and the challenges for writing workflows that are adequate for general use (flexibility) but do not leave behind some key steps for reproducibility. The package is available: https://model-r.github.io/modleR/ (1) ¡liibre! Laboratório Independente de Informática da Biodiversidade e Reprodutibilidade em Ecologia (2) Instituto Internacional para a Sustentabilidade, Rio de Janeiro, Brasil. (3) Instituto Superior Antonio Ruiz de Montoya (ISARM). Posadas, Misiones, (4) Instituto Misionero de Biodiversidad (IMiBio). Puerto Iguazú, Misiones, Argentina Track – Education & research Topic – Open and Reproducible Science Level – 2 - Basic. General basic knowledge is required.

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name: Creating open, reproducible workflows for ecological niche modeling


uk: Комп'ютерні науки

description: Defining temporal quality for OpenStreetMap comes with additional challenges while assessing the data from global south. This is because the extrinsic quality measure cannot be taken, and intrinsic measures can only indicate subjectively where the data is doubtful. This work take the challenge to define the temporal quality aspect for the purpose of disaster risk reduction that would determine when data should be updated, revisited, and produced and when it can be constituted as incomplete in OSM. This presentation is part of larger research aim that I as an independent researcher am trying to achieve which developing a relationship between (regional) contexts and OSM data quality. The OSM data is staled and in many instances not updated. The example of OSM data production in Haiti is an interesting and alarming case because the data is only produced when there are distresses. While if we visualize the pattern for data production from OSM history viewer from Heidelburg institute we can see that there are sudden jumps of data production which has correlation with major HOTOSM project and/or major disaster. This causes alot of back log in aid and situational awareness. The data needs to be added before urgency. This work will try to work on finding solutions on how can temporal uncertainty be detected. Authors and Affiliations – Muhammad Saleem, Open GIScience Research Lab, Enschede, the Netherlands 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

name: Defining temporal spatial data quality aspects for OpenStreetMap


uk: Комп'ютерні науки

description: Across the UK there are a network of footpaths and bridleways on which members of the public are free to walk, accessing some of the country’s most beautiful landscapes and places of historic interest. However, thousands of miles of historic paths were missed when the UK’s definitive “rights of way” map was first created in the 1950’s. The UK Government has set a deadline of 2026 when applications for them to be reinstated will close, and they will be lost forever. In 2020, the Ramblers, a UK walking charity, embarked on a crowd source campaign to find, map and save these historic paths. Using a web application built with OS-Geo tech, around 4000 members of the public undertook a “spot the difference” comparison of every square kilometre of England and Wales, comparing the historic maps with those published today. A remarkable 50,000 miles of paths were found across the country, generating significant interest in the UK media. The project is now moving on to the next stage of building up supplementary historic evidence to support applications for their reinstatement. In this talk and interactive demonstration by the Ramblers and their geospatial partner Astun Technology, we will look at the background of the project, the technical solution, the results and what happens next. If you love the outdoors, historic maps and OSGeo technology including PostGIS and OpenLayers, and want to find out about an ancient route called the Fosse Way, then this is the talk for you! During the talk we will include a presentation of the project and also a live demonstration of how OSGeo technology was used to map our historic path network. You will discover more about the project, get to see some beautiful historic maps of England and Wales, and understand how OSGeo technology made the project a reality. Requirements for the Attendees – None 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: “Don’t Lose Your Way”: How 4000 volunteers found 50,000 miles of lost historic paths in England and Wales using OSGeo technology


uk: Комп'ютерні науки

description: In recent 6 years, I was involved in water projects in Kenya and Rwanda by using FOSS4G software. A lot of water utilities in Africa are struggling to utilize their own GIS data because of lack of budget and skills. I was always thinking how they can easily manage their water utilities by GIS. Thus, I developed several open source software toolkits for water utilities in Rwanda and Kenya. The details implementation of softwares will be presented at the different talks - "An implementation of FOSS4G - QGIS, QField and Vector Tiles for rural water supply management in Rwanda" and "The impact of application of FOSS4G on Non Revenue Water" in FOSS4G 2021. In this talk, I will introduce my developed open source software and also talk about what I will develop in the future. My tools are documented at GIS for Water website. I mainly develop three types of software as follows. Software for Vector Tiles Management - Generating, Updating, Deploying automatically Plugins for Mapbox GL JS v1 - mapbox-gl-export, mapbox-gl-legend, mapbox-gl-elevation, etc. Parcels, Terrain RGB and EPANET for Water Management This talk is related to the following talks: "An implementation of FOSS4G - QGIS, QField and Vector Tiles for rural water supply management in Rwanda". "The impact of application of FOSS4G on Non Revenue Water Edit". My developed tools use the following FOSS4G software: PostGIS: Data store for water utilities management Mapbox vector tiles: Using it for online web GIS service United nations vector tiles toolkit: Using it for base map. EPANET:Using it for hydraulic modeling. Currently my parters are as follows: Water and Sanitation Corporation (WASAC), Rwanda Narok Water and Sewerage Services Company (NARWASSCO), Kenya Nanyuki Water and Sewerage Company (NAWASCO), Kenya Nakuru Water and Sanitation Services Company (NAWASSCO), Kenya Authors and Affiliations – Jin IGARASHI: Open source GIS software developer, also former JICA expert of the water project in Rwanda. Developing GIS systems for water utilities in both Kenya and Rwanda as volunteer basis. Requirements for the Attendees – Implementations vector tiles based WebGIS for WASAC, Rwanda: https://rural.water-gis.com vector tiles based Web-GIS for Narok Water, Kenya: https://narok.water-gis.com vector tiles based Web-GIS for Nanyuki Water, Kenya: https://new.nawascogis.co.ke/ vector tiles based Web-GIS for Nakuru Water, Kenya: https://nakuru.water-gis.com Github repository https://github.com/watergis vector tiles tools documentation https://docs.water-gis.com Track – Software Topic – Software/Project development Level – 2 - Basic. General basic knowledge is required.

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name: FOSS4G software developments for Water Utilities Management in Eastern Africa by using Vector Tiles


uk: Комп'ютерні науки

description: Geospatial related, free and open-source software has been contributing dominantly for sustainable land management. MOLUSCE refers to, Modules for Land Use Change Simulations which is a user-friendly plugin for free and opensource software QGIS. The main aim of this study is to analyze land cover in past 3 decades and predict possible future landcover scenario, using MOLUSCE. The considered study area (Banepa and Dhulikhel ) was one of the regions, which are facing rapid urbanization. Freely available Land Sat imageries of different time scene as per necessity, were acquired for image classification (Agriculture, Forest, Builtup, and Barren) whereas driving factors for land cover prediction were prepared based upon MOLUSCE protocol and data availability. Prediction was done by selecting appropriate parameters by hit and trial method successively. The result obtained from this study demonstrate increase of builtup land and barren land whereas gradual decrease of forest and agricultural land. Besides, study also predicts, agriculture and forest land are expected to be decreased whereas the built-up land might be increased. It also illustrated that, uses of MOLUSCE plugin can be used to analyze the land cover change and predict possible future land cover scenarios with a desirable accuracy which can support in proper planning and policy formulation. 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.

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name: Free and Open-Source Molusce Plugin for landcover Anlysis and Prediction; a case study in Banepa and Dhulikhee municipality, Nepal


uk: Комп'ютерні науки

description: In this talk we take you through our fully automated process that we developed for generating highly detailed building models for the Netherlands, the 3D BAG. Only open data and open source tools are involved. Semantic 3D city models, or digital twins, are one of the cornerstones of the so-called "smart city" applications. Although several regions have them, they are still relatively rare, outdated and difficult to access. This is often due to their price, since the most common methods for generating highly detailed models involves the manual modeling of individual objects. We developed a fully automated process for generating high detail (Level of Detail 2.2) building models for the whole Netherlands, which you can freely use, see 3D BAG. In this talk we take you through our whole building reconstruction process, in which we only use open source tools, like CGAL, GDAL, PostGIS, and more. We share the lessons we learned, and the main stumbling blocks we encountered. This project has received funding from the European Research Council (ERC) under the European Unions Horizon2020 Research & Innovation Programme (grant agreement no. 677312 UMnD: Urban modelling in higher dimensions). Requirements for the Attendees – Visit https://3dbag.nl Track – Open data Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 1 - Principiants. No required specific knowledge is needed.

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name: Fully automated, highly detailed, 3D building models for a whole country


uk: Комп'ютерні науки

description: The Geospatial Platform (Geoplatform) is a strategic US national resource that supports the Administration's–Open Government, Open Data and Digital Government strategies to enhance transparency, collaboration, and participation. Geoplatform provides a suite of managed, geospatial data, services, and applications for use by the public, industry, and federal, state, local, and tribal agencies to meet their mission needs. The new launch of GeoPlatform is based on various Cloud Native Geospatial components and this talk will showcase how such support the mission. This talk will focus on the recently redeveloped Geoplatform. Geoplatform provides a searchable geospatial metadata catalog, access to geospatial data, integration with the Geoplatform ArcGIS Online Enterprise Organization (AGOL), and a community shared workspace dedicated to the work of individual agencies, OMB Circular A-16 themes, and cross-cutting program areas. GeoPlatform is the authorized source for all the official US National Geospatial Data Assets (NGDAs). The NGDAs are organized in 17 Data themes as guided by the U.S. Federal Geographic Data Committee (FGDC). In 2020, Geoplatform, operating under the authority of the Geospatial Data Act of 2018, redeveloped Geoplatform to better meet the FAIR data principles to make data Findable, Accessible, Interoperable, and Reusable. The redeveloped Geoplatform includes: A new harvesting capability for harvesting geospatial records from data.gov Open Standard Geospatial Cloud Serverless Product Generation - Geoplatform.gov evaluates harvested NGDAs, evaluates where open standard files are missing, and then generates and publishes open standard format files (GeoJSON, GeoPackage, Shapefiles), tiles (Map Vector, XYZ Raster), and OGC Web Services (WMS, WFS) using Cloud infrastructure and triggered serverless functions. Improved Discovery & Preview Platform - With a set of quality harvesting rules, Geoplatform.gov is focused on “less is more”. This new site is based on open-source components (GeoNetwork, TerriaJS, more) with capabilities for suppliers to improve their results through improving their metadata. All solutions are available for open source re-use - Whether its the Catalog, Viewer, data pipeline, product generation, or reporting tools, allow components are made available back to the broader community for use. Requirements for the Attendees – Intended to be directed towards audience with a blend of : 1. National Spatial Data Infrastructure Mission Vision and Roadmap interest 2. Technical interest in re-usable FOSS4G component interest in Metadata Catalogs, Cloud Serverless Functions, DevOps, and Various FOSS4G stacks (TileGarden, GeoNetwork, GeoServer, GDAL, OGR2OGR, OGC Standards (WMS, WFS, WCS, GeoJSON, GeoPackage, more) and various service Types (Vector Tiles, Raster Tiles, WMTS). The site is beta.geoplatform.gov as of Spring 2021, and will be replacing www.geoplatform.gov prior to the conference. 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 – 2 - Basic. General basic knowledge is required.

uk: вхід без авторизації

name: Geoplatform: FAIR Data Principles for Geospatial Data in the United States of America


Geospatial programming with Rust

uk: Комп'ютерні науки

description: Rust is one of the emerging new programming languages which is well suited for geospatial applications and especially libraries. It was originally developed by Mozilla as a long-term replacement for C++. It's a modern language with excellent tooling and Stack Overflow's most loved language for four years in a row. This talk gives an introduction into Rust and an overview of the current state of geospatial libraries and applications. FOSS4G has always been a conference where geospatial develeopers meet for discussions. So in a year without the possibility of having a beer, a talk dedicated to developers could be a motivation for attending anyway. (1) Sourcepole, Switzerland Track – Software Topic – Software/Project development Level – 4 - Advanced. High technical knowledge required.

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uk: Комп'ютерні науки

description: While the climate crisis is a global one, the actions we take to adapt to our new reality will be local / regional by necessity. Communities around the globe have varying levels of adaptive capacity and generally only the largest have the financial resources, human capital and political will to respond fully. For most, feasible solutions are hard to find and evaluate, and the funds required to implement them are beyond reach. What those communities need is skilled people that can interpret climate data, decision-ready analytics, and available resources to help them take on-the-ground action--unfortunately that type of work doesn’t happen in any public repo or open data lake. The White House is making addressing climate change equitably one of its highest priorities, as evidenced by the January 27th Executive Order (14008). In response, NOAA will be leading the charge to train a vast workforce to leverage existing climate data and tools--growing the community of resilience professionals to accelerate community action. In this session, I hope to challenge you to think about ways you can ally yourself with those closer to the action-- those making decisions about how to protect our people, property, and cultures for the next generation. The White House is calling for a government-wide response and encouraging everyone from all sectors to come to the table. I encourage you all to join them. Track – Use cases & applications Topic – FOSS4G for Sustainable Development Goals (SDG) Level – 1 - Principiants. No required specific knowledge is needed.

uk: вхід без авторизації

name: Get Closer to the Action Become a Partner in Local Climate Action


uk: Комп'ютерні науки

description: Giswater is an open-source application for management and exploitation of hydraulic infrastructure elements in both water supply and urbain drainage. It uses database and graphic representation in any kind of geographic information system (GIS). Starting in 2015 with a Java driver able to connect to EPANET, EPA SWMM andHEC-RAS, the application has gradually evolved towards SQL and advanced functionalities in QGIS. Giswater is also a hydraulic simulation tool and, more broadly, a complete business tool. It is also a support for the sharing of workloads, through a user association and an ecosystem of technical contributors who can help the project to evolve. The community animation is done in particular through seminars. The presentation will include a few demonstrations of the functionalities of Giswater Giswater is an open-source application for management and exploitation of hydraulic infrastructure elements in both water supply and urbain drainage. It uses database and graphic representation in any kind of geographic information system (GIS). Starting in 2015 with a Java driver able to connect to EPANET, EPA SWMM andHEC-RAS, the application has gradually evolved towards SQL and advanced functionalities in QGIS. Giswater is also a hydraulic simulation tool and, more broadly, a complete business tool. It is also a support for the sharing of workloads, through a user association and an ecosystem of technical contributors who can help the project to evolve. The community animation is done in particular through seminars. The presentation will include a few demonstrations of the functionalities of Giswater 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.

uk: вхід без авторизації

name: Giswater : open source management tool for water networks


uk: Комп'ютерні науки

description: Climate change affects forests across the globe. In Europe, up to half of all tree stands are vulnerable to factors traced back to global warming. Forest owners thus need to decide what stands to replant, and what tree species to plant. Since change is happening very fast, they cannot rely on what worked previously, but have to get data-based decision support. In this talk, we will show how harmonised data compliant to international standards such as INSPIRE can be used to introduce solutions to urgent problems like this one at scale. A key ingredient is to effectively harmonise data and to preprocess it in such a way that state of the art analytical tools such as CNNs can process it easily. hale»studio is an open-source environment for the analysis and transformation of complex, structured data. Traditionally, it is mostly used to easily transform data to open standards such as GeoSciML, XPlanGML, CityGML and INSPIRE. However, with inbuilt model transformations, it can also be used to effectively process harmonised data to make it more useable, e.g. by transforming complex GML into useable GeoJSON or GeoPackage – or by directly outputting data structures fit for ML frameworks. In the talk, we will introduce hale»studio’s declarative mapping and model transformation workflow and how it can be leveraged to significantly improve the quality and usefulness of your data. Learn more about how hale»studio, an open-source ETL tool, can help you harmonize data to open standards and ultimately help solve mission-critical issues. Track – Software 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.

uk: вхід без авторизації

name: How hale»studio helps save forests in Europe


uk: Комп'ютерні науки

description: Satellite remote sensing is an effective approach to monitor floods over large areas, especially in regions where other information is lacking. But even so, challenges do remain. These include, but are not limited to, the required computation power and technical expertise to analyse this data. The HYDrologic Remote sensing Analysis for Floods (HYDRAFloods) tool presents a new scientific standard for surface water mapping. It can produce single sensor maps as well as daily data fused products into which all relevant sensors are combined. The system is under active development in SERVIR-Mekong and operational for near real time flood detection. HYDRAFloods embraces open science and combines relevant algorithms from literature with our own custom developments, published in open access journals. It uses cloud computing to facilitate data access and running at scale. The code is hosted on a repository with open source license. We’ll present the tool and its use cases. 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.

uk: вхід без авторизації

name: HYDRAFloods: an Open Source Tool for Flood Monitoring


uk: Комп'ютерні науки

description: En el presente trabajo se expone el camino recorrido desde la primera implementación de la Infraestructura de Datos Espaciales (IDE) del Conurbano Bonaerense de la Universidad Nacional de General Sarmiento en el año 2014 y sus diversas actualizaciones hasta la actualidad. Se repesa acerca de los principales cambios tecnológicos, su adaptación a los usuarios y a las demandas temáticas específicas tanto en el ámbito académico como gubernamental. En lo referido a los cambios tecnológicos plantea el traspaso del software privado, gestionado con licencias con costo económico para la Universidad, a la utilización de software libre y de código abierto. Sumado a ello, siempre se ha trabajado en la publicación y divulgación de la información geográfica, haciendo accesible a los usuarios su utilización en primer lugar a través de la descarga directa y en la actualidad sumando los servicios web de transferencia de información. En la actualidad, en la IDE del Conurbano, se integran proyectos de diversos investigadores del Área de las Tecnologías de la Información Geográfica, sumado a un repositorio de datos correspondientes al área de estudio principal que se define por los partidos que componen el Conurbano Bonaerense. El Laboratorio de SIG (LabSIG) desarrolla sus actividades en el marco del Área de Tecnologías de la Información Geográfica y Análisis Espacial, por lo tanto, todo lo que produce en términos académicos, se vincula a las actividades de los diferentes espacios que componen el área, como la Tecnicatura Superior en Sistemas de Información Geográfica (TECSIG). Es por ello que, en directa relación con la investigación, una de las funciones principales es transferir el producto de sus actividades cotidianas a las diferentes asignaturas que se imparten en la TECSIG. En el LabSIG nos hemos planteado la necesidad de implementar una Infraestructura de Datos Espaciales (IDE) sobre el conurbano bonaerense (área comprendida por la Ciudad de Buenos Aires y los 24 partidos que la rodean), procurando facilitar el acceso y la integración de la información espacial entre múltiples usuarios. La UNGS, a través de la financiación de proyectos de investigación desde el año 2011 (30/2047; 30/2068; 30/2072) apoya el desarrollo de la IDE del Conurbano. En particular, con el proyecto “Diseño e implementación de una Infraestructura de Datos Espaciales del Instituto del Conurbano Bonaerense” entre los años 2015-2016. La IDE del Conurbano es una implementación de la Plataforma GeoNode como ABM del repositorio de datos, servidor de datos geográficos Geoserver , Servidor Web Apache y Motor de Base de Datos Postgres con plugin Postgis, tecnologías ampliamente conocidas e implementadas en múltiples organismos, debido a la gran cantidad de documentación disponible generada por su comunidad bajo el paradigma de fuentes abiertos descritos anteriormente. Este esquema de IDE brinda una gran variedad de herramientas para la administración de datos, mapas, documentos y metadatos. El software Geonode utiliza Geoserver como servidor de Mapas y publicador de servicios, es por ello que la opción más fácil e inmediata para la implementación del servicio WPS es hacerlo a través de Geoserver. La IDE del Conurbano se incorporó como nodo académico en 2016 a IDERA, aportando contenidos geográficos de la Región Metropolitana de Buenos Aires, a nivel de provincia, región, municipio, barrios, radios censales. La IDE del Conurbano se constituye como un espacio de democratización en el acceso a los contenidos geográficos con fines de aplicación en las políticas públicas de planificación y ordenamiento territoriales a diferentes escalas: nacional, provincial, regional y municipal. Es así como la IDE del Conurbano es utilizada tanto por investigadores, como modo de publicación de sus bases geográficas utilizadas en los procesos de investigación. Así como también, por los docentes de las asignaturas de la TECSIG, incorporando las bases geográficas disponibles en las prácticas áulicas y finalmente los alumnos, quienes acceden directa y libremente a la información necesaria para realizar sus producciones temáticas. Doctor en Geografía. Profesor Adjunto. Coordinador Laboratorio de Sistemas de Información Geográfica (LABSIG). Instituto del Conurbano, Área de Tecnologías de la Información Geográfica y Análisis Espacial. Universidad Nacional de General Sarmiento. Correo electrónico: ncaloni@campus.ungs.edu.ar Técnico en el LABSIG. Instituto del Conurbano. Universidad Nacional de General Sarmiento. completar. 3 Lic. en SIG en el LABSIG. Instituto del Conurbano. Universidad Nacional de General Sarmiento Track – Education & research Topic – Education Level – 2 - Basic. General basic knowledge is required.

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name: La IDE del Conurbano Bonaerense de la Universidad Nacional de General Sarmiento. Origen, desarrollo y actualidad.

name: Open Source Geospatial Foundation (OSGeo)


uk: Комп'ютерні науки

description: Open EO data has long held promise for wide-area flood mapping and many algorithms exist to serve flood maps across large spatial scales. A lot of those maps are being used to support situational awareness assessments. However, typically, open EO imagery works well over open water rural areas but in areas where most people and assets at risk are located, i.e. urban areas, traditional flood mapping algorithms applied to free satellite data have serious limitations. However, recently, advances in using SAR signal coherence change for mapping floods coupled with an increase in powerful cloud computing, make urban flood mapping a reality. In this talk, we present examples of use cases using an urban flood map algorithm on an online cloud-based EO processing platform to rapidly process Sentinel-1 SAR images into urban building geometries that are then used to derive an accurate urban flood map using SAR signal coherence change. 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.

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name: Mapping floods in urban areas from space at local risk level


uk: Комп'ютерні науки

description: In a nice and pleasant map, it is important that the labeling is carried out with great care. This talk will be about how to achieve high quality labeling with Mapserver. The tricks also involve understanding how to use the GDAL/OGR that is part of the backend to Mapserver. I will also share insights on how to create and use circle elements with geographic extent. Some of the methods contain novel ideas that I have come up with during last year. Finally, I will introduce a few concepts that are more difficult to grasp but are of great use when creating WMS-services. One example is Named styles. The presenter is a frequent Mapserver user. The talk is based on practical experiments and real problems that the author has experienced. Some of the solutions are also based on ideas from mapserver-users list, mapserver-dev list and gdal-dev list. The talk will contain example code that will be uploaded on GITHUB prior to the conference. Track – Software Topic – Software/Project development Level – 3 - Medium. Advanced knowledge is recommended.

uk: вхід без авторизації

name: Mapserver – Labeling and Circles – my best tips and tricks


uk: Комп'ютерні науки

description: Maps play a critical role in disaster response, enabling humanitarian organisations to better identify people in need, coordinate response and provide assistance where it’s needed most. However, many of the communities where disasters occur are literally missing from any map. First responders working with these communities often have to cover large areas to find out where the population is affected, but lack the data necessary for an efficient, effective response. Many tools for mapping in OSM can be daunting for people without a technical or mapping background. This constitutes a high barrier to join open mapping initiatives for beginners and people that are not willing to spend that much time on training or that don’t have access to a laptop. MapSwipe is an open-source mobile app that makes it even easier for anyone to contribute to humanitarian mapping, with tasks that can be done in just minutes and in-app tutorials to get started. In this talk we will provide an overview on it from three angles: community app (react-native) backend (python and postgis). Since its start in 2015, MapSwipe has scaled to more than 30,000 users mapping 1,300,000 km2. MapSwipe is built and maintained by volunteers, with the support of the British Red Cross, HeiGIT and the GIScience Research Group, Humanitarian OpenStreetMap Team and Medecins Sans Frontieres. Community MapSwipe data is created by volunteers and accessible to the entire community. Once a project has been requested by a community, the MapSwipe team creates it in the app, using imagery from a variety of sources and creating instructions that help the user to understand what to look for and the resulting action they should take. Each set of imagery is viewed by at least 3 individuals to improve data-quality. In the year 2020 9,281 volunteers worked on 168 projects and contributed more than 90 Million results. Backend MapSwipe is a successful example where research results have been transferred into a real-world application which is used among numerous humanitarian organisations. This research work has shaped mostly MapSwipe’s backend geoprocessing workflows. The backend is based on python (gdal) and postgresql (postgis) and interacts with Firebase (which is used by the app). To create a new mapping task, the overall project extent is split up into many single tasks. Tasks are the smallest unit in the MapSwipe data model. They are derived from the area of interest by gridding it into many small equal-sized rectangular polygons. Each task corresponds to a specific tile coordinate from a tile map service (TMS) using a web Mercator projection as its geographical reference system. Therefore, each task is characterized by a geometry and its tile coordinates, which describe its x, y and z position. For most projects tasks are generated at zoom level 18, but there have been few projects that used even higher zoom levels. Single MapSwipe projects can contain up to several hundred thousand tasks. This can pose a challenge to fast and performant communication between clients and server if many volunteers contribute data at the same time. Therefore, groups have been introduced to reduce the amount of client requests on the backend server. Groups consist of several tasks that will be shown to the user in one mapping session. During the post-processing the individual user results are aggregated, filtered and simplified to provide meaningful output for project managers at humanitarian organisations. This output is used to either set up a mapping campaign in OSM or directly used. App The app is written in react-native and uses Firebase realtime database as the backend. While most geo-processing happens in the backend, the app mainly displays the individual mapping tasks, which are based on tiles that are provided through a Tile Map Service (TMS). We’ve recently introduced a new project type, which allows us to display arbitrary polygon geometries as well. However, this is still rather experimental and not as widely used. 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: MapSwipe - an open-source mobile app putting communities on the map


METEO Romania INSPIRE(D) Implementation

uk: Комп'ютерні науки

description: Full compliance with the INSPIRE Directive across member states is one of the important objectives of the European Union. From a meteorological point of view, access to standardized data across national borders would be a major accomplishment significantly simplifying use of such data in various domains (agriculture, transportation etc). The need for standardised data is even more stringent considering the large quantity of data collected by the Romanian National Meteorological Administration: 10 meteorological data sets, 31 meteorological parameters, more than 230 weather stations, and over 500000 daily records starting from 1960, some of them being updated every 6 hours. In order to efficiently store and distribute all this data while respecting the various European and global standards specific to the meteorological domain (INSPIRE, GRIB, BUFR), a full stack of open-source technologies and applications was used (PostgreSQL, PostGIS, Hale Studio, GeoServer, GeoNetwork, MapStore, GeoHealthCheck etc). For a fully conforming INSPIRE implementation, the standardized Open Geospatial Consortium (OGS) INSPIRE services (OGS CSW discovery services, OGS WMS view services, OGS WFS download services) were used and fine-tuned to provide all necessary metadata and interlinking, in accordance with existing regulations, technical requirements and nascent best practices. To complement these standard mapping services, a series of auxiliary tools were implemented, such as a web mapping client, a service for monitoring the INSPIRE services and a dedicated instance of the EU-wide INSPIRE validation framework. The presentation describes how to store and distribute meteorological data while respecting the various European and global standards specific to the meteorological domain (INSPIRE, GRIB, BUFR), using a full stack of open-source technologies and applications was used (PostgreSQL, PostGIS, Hale Studio, GeoServer, GeoNetwork, MapStore, GeoHealthCheck etc). The end result is an INSPIRE implementation comprising the standardized Open Geospatial Consortium (OGS) INSPIRE services (OGS CSW discovery services, OGS WMS view services, OGS WFS download services) fine-tuned to provide all necessary metadata and interlinking, in accordance with existing regulations, technical requirements and nascent best practices. To complement these standard mapping services, a series of auxiliary tools were implemented, such as a web mapping client, a service for monitoring the INSPIRE services and a dedicated instance of the EU-wide INSPIRE validation framework. (1) Essensys Software, Romania Track – Use cases & applications Topic – Standards, interoperability, SDIs Level – 2 - Basic. General basic knowledge is required.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: Metodología participativa para la delimitación, registro y regularización de tierras indígenas en Paraguay El proyecto consiste en la delimitación de territorios indígenas con la finalidad de que los títulos de propiedad de éstos queden registrados en la base cartográfica digital del Servicio Nacional de Catastro (SNC), éste documento servirá para que las comunidades puedan reivindicar sus derechos sobre sus propiedades, es decir, se busca documentar de forma oficial la existencia de invasiones por parte de privados en suelo indígena para un posterior reclamo por las vías correspondientes. Fue realizado en seis comunidades indígenas, pertenecientes al pueblo Mbya guaraní e Yshir, en el Departamento de Itapúa y Alto Paraguay, respectivamente. Se trabajó de manera participativa con las comunidades de Pastoreo , Ko’eju y Pykasu´i, Puerto Esperanza, Karcha Balhut (14 de Mayo) y Puerto Diana. En total se delimitaron y documentaron 35.828 hectáreas, donde viven aproximadamente 1.374 familias, las cuales tendrán una herramienta legal para regularizar la ocupación de sus tierras. De forma previa, se realizó una reunión con la Organización de las Naciones Unidas (ONU) y con la Federación por la Autodeterminación de los Pueblos Indígenas (FAPI), donde éstos explican la problemática y entregan los títulos de las propiedades indígenas; los títulos fueron digitalizados, junto con la propiedades aledañas a las comunidades registradas en el SNC; luego, se presentó el plan de trabajo a las comunidades en busca del visto bueno y acompañamiento de sus miembros para ingresar a medir in situ su territorio y determinar la geolocalización de los polígonos de los títulos a partir de límites físicos históricos de las comunidades Indígenas; posteriormente, se presentaron a las comunidades los resultados donde pudieron visualizar los límites reales de sus territorios, con la ubicación y contabilización de hectáreas que presentan conflicto por invasión de privados; se establecieron puntos de apoyo sobre los límites de las propiedades que fueron materializados para reforzar la delimitación existente; finalmente, con la aprobación de los líderes de cada comunidad, se confeccionaron los planos e informes a ser presentados ante Instituto Nacional del Indígena (INDI) y SNC La intención de esta charla es presentar una propuesta de trabajo con los pueblos originarios, respetando el principio de autodeterminación, organización comunitaria, costumbres, al igual que implementación de tecnologías libres para la gestión del territorio. También serán presentados los resultados obtenidos, los conflictos de tenencia y ocupación de las tierras indígenas, ya sea de carácter interno o externo. Las dificultades, las soluciones adoptadas y los desafíos futuros. 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 – Español

uk: вхід без авторизації

name: Metodología participativa para la delimitación, registro y regularización de tierras indigenas en Paraguay


uk: Комп'ютерні науки

description: Arabesque allows flow mapping from a modern web browser like Mozilla or Chrome.Its development benefits from several well known open-source data-visualisation, mapping and geo-processing libraries (OpenLayers, d3, TurfJS) and build also upon well known open data-sets (OpenStreetMap, NaturalEarthData). A demonstration of Arabesque will be offered during the conference. The analysis of its functionalities will be compared with those of similar web applications— Magrit, Kepler.gl, flowmap.blue, Tableau, Carto.db and Flourish —which will be compared on the same flow dataset, for a practical and empirical "validation" of its contributions. Authors and Affiliations – Nicolas Roelandt GIS engineer, FOSS4G advocate, OSGeoLive PSC and OSGeo-fr member Track – Academic Topic – Academic Level – 2 - Basic. General basic knowledge is required.

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name: One Arabesque in the small world of OD webmaps


uk: Комп'ютерні науки

description: Open Source and Open Data: the building blocks for a Geo-harmonized understanding of our environment In this talk, we will present a 2fold 3years initiative that builds on open source and open data. It is a story of harmonization and accessibility, all supported by free and open source for geospatial - foss4g. It is the story of the Geo-harmonizer. Geo-harmonizer stands for EU-wide automated mapping system for harmonization of Open Data based on FOSS4G and Machine Learning and it is unfolding in 2 ways. On one hand, significant efforts have been invested into obtaining new added value time series map products based on open sources for remote sensing data, such as Landsat, Sentinel, MODIS etc. , machine learning frameworks on cloud infrastructure and using High Performance Computing. On the other hand, efforts have been dedicated to the development of web-base, scalable and modular system fit to provide hosting and accessibility to various time series thematic geospatial map products. This system translates into an intuitive and very responsive data portal using open source software, such as Geoserver and GeoNetwork. This is a European story, yet our approach is replicable everywhere in the world, towards a complete, harmonised and cross-boundaries understating of our environment through open data and open source - a Geo-harmonised approach. https://maps.opendatascience.eu/ https://gitlab.com/geoharmonizer_inea/eumap This talk gives an overview on all activities developed during the first 2 years of the Geo-harmonizer initiative, with an emphasis on the foss4g usage and development, as well as the open data used to obtain harmonised cross-boundaries geospatial datasets. Track – Use cases & applications Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 2 - Basic. General basic knowledge is required.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: Open source geospatial software powering policy implementation: the INSPIRE central infrastructure components In force since 2007, the INSPIRE Directive represents most probably the biggest geospatial data sharing/interoperability effort ever undertaken. It aims to create a pan-European Spatial Data Infrastructure (SDI) to support European Union (EU) environmental policies and the European Green Deal data space, setting requirements on the provision of metadata, harmonised datasets and services (to discover, view and download data). Technical requirements for INSPIRE implementation are based on open standards, mainly from ISO and the OGC. The Joint Research Centre of the European Commission is the INSPIRE technical coordinator and supports its implementation by developing and operating so-called INSPIRE central infrastructure components: the Geoportal, Reference Validator and Registry. The INSPIRE Geoportal (https://inspire-geoportal.ec.europa.eu) is the central access point to the data made available by EU Member States under INSPIRE. It periodically harvests Member States discovery services and makes identified datasets findable, accessible and downloadable. The backend is based on Solr, while the frontend uses standard web libraries including Leaflet for managing map content; the basemap is the European Commission’s OpenStreetMap version, reflecting the EU position on disputed borders. A major work has just started to redesign the Geoportal backend using GeoNetwork. The INSPIRE Reference Validator (https://inspire.ec.europa.eu/validator/about) is the tool used by Member States data providers to check the conformity of their resources (metadata, datasets and services) against the INSPIRE interoperability requirements. The software is an implementation of the ETF (https://etf-validator.net), an open source testing framework for SDI resources. Tests are organized into Executable Test Suites (ETS) using SoapUI, BaseX and the OGC TEAM Engine. The INSPIRE Registry (https://inspire.ec.europa.eu/registry) is the tool managing reference codes for all the INSPIRE items, including reference documents, code lists and application schemas. It assigns identifiers to items and their labels, definitions and descriptions. There are currently 7000+ INSPIRE reference codes, available in 23 languages and served in 7 different formats (HTML, XML, ISO 19135 XML, RDF, JSON, ATOM, CSV). The INSPIRE Registry is an implementation of the open source Re3gistry software (https://github.com/ec-jrc/re3gistry), which will be included in the upcoming OSGeo Live v.14 and soon proposed as an OSGeo Community Project. The presentation will demonstrate how these tools work, outline their potential reuse beyond INSPIRE and share lessons learnt for FOSS4G uptake by the public sector. Authors and Affiliations – Minghini, Marco (1) Kotsev, Alexander (1) Cetl, Vlado (1) Hernandez, Lorena (1) Lutz, Michael (1) Francioli, Daniele (1) Artasensi, Davide (1) Epure, Emanuela (1) Vinci, Fabio (1) Spinelli, Fabiano (1) Ziemba, Lukasz (1) (1) European Commission, Joint Research Centre (JRC), Ispra, Italy Requirements for the Attendees – Participants are required to possess basic knowledge about geospatial standards for data sharing and Spatial Data Infrastructures. Preliminary knowledge about INSPIRE, which will be useful to follow the presentation, can be achieved by checking the links provided in the abstract and in the description. Track – Software Topic – Standards, interoperability, SDIs Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – English

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uk: Комп'ютерні науки

description: Open-source seagrass and blue carbon mapping in support of the nationally determined contributions Seagrasses are one of the world’s most productive ecosystems, playing an important role in climate change mitigation and adaptation. They are vast natural carbon sinks which have important yet underestimated implications into national climate agendas. Precise knowledge of seagrass distribution and site-specific in-situ carbon data is crucial for global seagrass carbon storage, but is limited to a few well-studied sites. Within the context of the Global Seagrass Watch project, funded by DLR and supported by the GEO-GEE program, we aim to develop open country-scale seagrass maps and related carbon stocks in support of the Nationally Determined Contributions of the Paris Agreement. We process open Sentinel-2 multi-temporal data within the open cloud computing platform of the Google Earth Engine to quantify seagrass and associated carbon stocks. Our generated data inventories will support interdisciplinary scientific research and management efforts within a regional and global climate action context. 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.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: Built on the shoulders of the Orfeo ToolBox and TensorFlow, our software uses deep learning to remove clouds in optical images, using joint SAR/Optical Sentinel images. It is open-source, and comes with pre-trained models. Clouds represent the main issue affecting optical satellite images. Cloud-free scenes available at specific date is crucial in a wide range of monitoring applications. Differently, Synthetic Aperture Radar (SAR) sensors provide orthogonal information with respect to optical satellite, that enable the retrieval of information lost in optical images due to cloud cover. In the context of an increasing availability of both optical and SAR images, thank to the Sentinel constellation, a number of deep learning method have emerged in recent papers. These methods aim to reconstruct optical data polluted by cloud phenomena, exploiting SAR and optical images. We present an open-source software based on the Orfeo ToolBox and TensorFlow, that provide a framework to apply methods processing Sentinel-1 and Sentinel-2 images. Our software comes with a few pre-trained models that can be used out-of-the-box to remove clouds in Sentinel-2 images from Sentinel-1 and Sentinel-2 time series. Track – Education & research Topic – New trends: IoT, Indoor mapping, drones - UAV (unmanned aerial vehicle), Artificial intelligence - machine learning, deep learning-, geospatial data structures, real time raster analysis Level – 2 - Basic. General basic knowledge is required.

uk: вхід без авторизації

name: Orfeo ToolBox teams with TensorFlow to remove clouds in optical remote sensing images


uk: Комп'ютерні науки

description: We’re drowning in data, but the geospatial world lags badly behind in versioning tools compared to our software counterparts. Kart (https://www.kartproject.org – formerly Sno) is solving this with a practical open tool for versioning datasets, enabling you to work more efficiently and collaborate better. Kart allows you to quickly and easily manage history, branches, data schemas, and synchronisation for large & small datasets between different working copy formats and operating systems. Modern version control unlocks efficient collaboration, both within teams and across organisations meaning everyone stays on the same page, you can review and trace changes easily: ultimately using your time more efficiently. We’ll introduce you to Kart, demonstrate some of the key features, and highlight what’s coming next on our roadmap. Track – Software Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 1 - Principiants. No required specific knowledge is needed.

uk: вхід без авторизації

name: Practical Geospatial Data Versioning with Kart


QField Features Frenzy

uk: Комп'ютерні науки

description: QField is the mobile data collection app for QGIS with more than 100K active monthly users and well over 350K downloads. Discover what it has to offer and how, thanks to seamless synchronisation with QFieldCloud, it can help make your teams' fieldwork sessions pleasant and efficient. QField combines a minimal design with sophisticated technology that allows intuitive viewing and editing of data. QField’s map display is powered by the QGIS rendering engine, so the results are identical and come with the full range of styling possibilities available on the desktop. Editing forms on QField respect the QGIS configuration and are optimised for touch interaction. QField works with QGIS allowing users to set up maps and forms in QGIS on their workstation, and deploy those in the field. Leveraging QGIS' data providers - OGR, GDAL, PostGIS, and more - QField supports most current file formats. And if you just want quickly to check that dataset that was sent to you, QField will seamlessly open it adding a basemap for your convenience. QGIS is efficient and comfortable in everyday office life. However, data collection often begins on the field. Whether in shiver or sunshine, working outdoors requires a solution that is optimized for mobile devices. QField [1] is the perfect companion of QGIS. The off-the-shelf application allows intuitive viewing and editing of data. With a slick user interface, QField allows using QGIS projects on tablets and mobiles. QField’s map display is powered by the QGIS rendering engine, so the results are identical and come with the full range of styling possibilities available on the desktop. Editing forms on QField respect the QGIS configuration and are optimised for touch interaction. The seamless cloud integration QFieldCloud allows on- and offline hybrid fieldwork as well as team management with granular user permissions. Features such as advanced topological editing, QML widgets, external GNSS connectivity or camera integration make QField a powerful tool for those who need to edit on the go and would like to avoid standing in the field with a laptop or paper charts. For cases where an off-the-shelf solution is not enough, the core components of QField have been extracted into a framework called QgisQuick. While QField covers the majority of use cases as an off-the-shelf solution, this framework can be used for custom development to meet specific requirements and workflows. QField, like QGIS, is an open-source project [2]. Everyone is welcome to contribute to making the product even better - whether it is with financial support, enthusiastic programming or visionary ideas. [1] http://www.qfield.org [2] https://github.com/opengisch/QField Authors and Affiliations – David Signer OPENGIS.ch Marco Bernasocchi OPENGIS.ch Track – Software Topic – Software status / state of the art Level – 1 - Principiants. No required specific knowledge is needed. Language of the Presentation – English

uk: вхід без авторизації


QGIS Bridge Status Report

uk: Комп'ютерні науки

description: Bridge is a plugin for QGIS, enabling you to publish (meta)data to the OSGeo server stack (GeoServer, GeoNetwork, Mapserver, PostGIS). We'll report about our plans and the adoption of Bridge and its internal modules by other projects. Bridge for QGIS was first released in Bucharest and downloaded more than 4000 times since then. It is a Python plugin to publish maps from QGIS to GeoServer, MapServer, or GeoNetwork. The underlying module style2style, which generates SLD and Mapbox Style from QGIS style, has been adopted by a number of other projects. In this presentation we'll share some experiences while working on these topics. We'll look ahead on what's coming and would love to hear about your challenges concerning style, data and metadata conversions between products. Track – Software Topic – Data collection, data sharing, data science, open data, big data, data exploitation platforms Level – 2 - Basic. General basic knowledge is required.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: Satellite-based Earth observations and numerical modeling for improved detection, assessment and forecast of natural hazards Natural hazards typically strike with little to no warning, frequently leading to considerable economic losses and fatalities worldwide. The scientific community anticipates that a changing climate will exacerbate the outcomes of these phenomena. Heavy rainfall that usually triggers landslides, for example, is already shifting in magnitude, frequency, and location. Open-source Earth Observations, machine learning, and other technological advances have proven useful for monitoring, studying, and developing methods that can help predict and evaluate hazard events at various scales. These methods have increasingly made it easier to sense spatial and temporal changes at local and regional scales with enhanced resolution and accuracy. In this talk, Dr. Cullen, an active member of the GEO programme, will discuss how Open-source data can help determine rainfall-triggered shallow landslides risk at large scales. Please see the abstract above. Authors and Affiliations – City University of New York/ GEO 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: In this talk, we will present the robust functionalities of Nasa World Wind open source virtual globe that allows interactive 3D exploration by the user for continental time series environmental map products. This is an implementation part of the European Geo-harmonizer initiative, but given that it is open source, replicable anywhere in the world. Authors and Affiliations – Claudia Ifrim Terrasigna, Romania 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

uk: вхід без авторизації

name: Seeing the world in 3D using Open Source


uk: Комп'ютерні науки

description: Environmental monitoring in the Earth observation (EO) age requires the assimilation of heterogeneous data from in-situ measurements, model simulations and satellite remote sensing to describe the state of the environment accurately. Here we present two open-source projects that facilitate near-real-time processing, visualisation and access to data on the condition of Swiss lakes. SenCast (https://gitlab.com/eawag-rs/sencast) is a Python toolbox for downloading Sentinel-2 and Sentinel-3 images and computing water quality parameters, and Datalakes (https://www.datalakes-eawag.ch/), is an open data platform for accessing, visualising and comparing heterogeneous environmental data. Together they form an operational pipeline that facilitates easy access to EO data and allows the joint interpretation of spatial patterns from satellite observations, 3D hydrodynamic simulations and in-situ measurements from vertical profilers and moorings. This proof of concept at a national scale shows how countries can produce accurate water quality information in line with the SDG indicator 6.3.2 monitoring requirements. Talk, Sustainable Development 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.

uk: вхід без авторизації

name: SenCast & Datalakes: Operational near-real-time lake monitoring at a national scale using open data and software


uk: Комп'ютерні науки

description: Solidarity in Development: Participatory collaboration and open source development in the Amazon All open source software has a development story. This session teaches participatory development, which teams can use to improve the quality and immediate impact of open source software. We will cover how to get started with participatory development, how this approach differs from typical open source software development, and we will discuss an example of how our team uses it in practice. Using a story based approach, we will share how our process endeavors to infuse principles of allyship and human-centered design as we co-develop GIS tools with communities on the frontlines of ecological and climate crises, to assert their environmental rights. This session features a chapter in the Mapeo development story when Mapeo Mobile v2 finally is put in the hands of the land defenders who inspired some of its unique features: offline first functionality, peer-to-peer GIS data distribution, customizability, and ease of use for new users of digital technology. Digital Democracy has been breaking down the barriers between software development and the people most in need of innovative technologies by investing in programmatic technical accompaniment and bringing our developers to the remote regions where accessible GIS tools are needed most. Join Jen Castro and Karissa McKelvey as they share the technical story of customizing Mapeo for a community monitoring project in Northern Peru and how we managed real-time collaboration on development in a small town with very limited internet access. Authors and Affiliations – Digital Democracy Track – Software Topic – FOSS4G implementations in strategic application domains: land management, crisis/disaster response, smart cities, population mapping, climate change, ocean and marine monitoring, etc. Level – 2 - Basic. General basic knowledge is required.

uk: вхід без авторизації


uk: Комп'ютерні науки

description: We present the first open-source toolbox for both ICESat-2 and GEDI satellite LiDAR data as a Julia package. ICESat-2 and GEDI are two NASA missions launched at the end of 2018. The GEDI full waveform LiDAR is attached to the ISS and investigates vertical forest structure. ICESat-2's ATLAS instrument is a discrete LiDAR system in a polar orbit and investigates ice sheets. SpaceLiDAR.jl can search for, download, convert and analyze datasets produced by both missions, specifically the L2A product of GEDI and the ATL03 and ATL08 of ICESat-2, which are the first geolocated products. Furthermore, it can derive points, linestrings, interpolate rasters and store them, making use of the Julia ecosystem, including the recent GeoDataFrames.jl, a spatially enabled Tables interface, built on top of GDAL. This package and Julia in general enable us to do our research into improving global elevation models. Track – Software Topic – Sensors, remote sensing, laser-scanning, structure from motion Level – 2 - Basic. General basic knowledge is required.

uk: вхід без авторизації

name: SpaceLiDAR.jl: A Julia package for processing ICESat-2 & GEDI satellite LiDAR


uk: Комп'ютерні науки

description: Buenos Aires is one of the world capitals of culture. There are over 600 bookshops, 350 theaters, and more than 100 Art Galleries. But how is this cultural infraestructure located and distributed around the city? Is there an unequal access to culture? In this talk, I'm going to present a methodology and a tools (from QGIS to OSRM - Open Source Route Machine) to analyze cultural accesibility and how spatial analysis help us to improve the planning. 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 – 2 - Basic. General basic knowledge is required.

uk: вхід без авторизації

name: Spatial analysis of cultural activities in Buenos Aires


uk: Комп'ютерні науки

description: Photogrammetry is one of the first step after data acquisition before proceeding to indepth analysis of a subject. Nowadays, several opensource photogrammetry softwares are being developed and are available such as Meshroom, OpenDroneMap, Visual SFM, Colmap, Regard 3D, OpenMVG among others. MicMac forms part of these photogrammetry softwares released by French Geographic Institute (IGN). MicMac uses a lot of command lines related to alcoholic drinks. Since these atypical command lines are not easily understandable, an alternative method to use micmac applications has been developed to facilitate usage of these command lines. Using technology embedded by OpenDroneMap with its nodes (lightweight Javascript REST API) allows users to apply MicMac to UAV/UAS imagery with effective results (Points cloud, 3D Mesh, Orthophotography, Digital Elevation Model, ...). I closely follow NodeODM and regularly update NodeMicMac to ensure that the updated version is available on WebODM. I also implement new features that are not currently available in NodeMicMac but can still be accessible on MicMac. This talk aims at introducing MICMAC and its features to those who are not acquainted to this opensource software and its various applications in different sectors. Furthermore, it will focus on futures development and plans such as implementation of rolling shutter, reports ... And, a few case studies of implementation of micmac in marine sector above and underwater (data acquisition done using various methods: kitesurf, paddle, drones, diving etc) will also be presented. This includes Underwater 3D modeling, coral bleaching among others. Authors and Affiliations – Sylvain POULAIN, GISCAN, France and Mauritius Requirements for the Attendees – Understand general knowledge of photogrammetry but not required to follow marine application Track – Software Topic – New trends: IoT, Indoor mapping, drones - UAV (unmanned aerial vehicle), Artificial intelligence - machine learning, deep learning-, geospatial data structures, real time raster analysis Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – English

uk: вхід без авторизації

name: State and marine application of NodeMicMac (opensource photogrammetry software)