We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback
8 Ergebnisse
Vorschaubild
27:28
6Adams, Till
We present a cloudbased technology, that allows “big geodata analysis” in process chains, that make use of actinia and GRASS GIS. Geo- and EO-data are more and more available, especially the growing Open Data policy of organisations fuels this process. With this awareness and demand for geo-based decision support increases. We want to present an implementation of the new paradigm of “bring processes to the data”. In the talk we present how big geodata analysis process chains could be easily implemented in a cloud environment by using GRASS GIS and actinia (OSGeo project & OSGeo Community project, respectively) for the process algorithms. The combination of these allows cloud optimized geodata processing triggered through simple API-calls. In the first part we show the architectural design and the interactions between actinia and GRASS GIS. In the 2nd part we present examples of process chains. These are a) automated surface-type detection from orthophotos, b) on-demand creation of cloud free Sentinel-2 scenes using temporal interpolation, and lastly c) gap-filling of high-resolution land surface temperature data from MODIS-satellite data.
2020FOSS4G et al.
Vorschaubild
25:38
9Bearman, Nick
Teaching short courses using QGIS. I will cover the QGIS Certification Programme and discuss how I hosted QGIS in Amazon WorkSpaces. I will show how I teach my GIS short courses using QGIS, covering two different areas. I will cover the QGIS Certification Programme and how this funds QGIS. I will also discuss how the scheme is promoted to clients/users, and the mechanism of creating certificates for course attendees. I will also discuss how I hosted QGIS in Amazon WorkSpaces on a recent course, where some of the participants couldn’t install QGIS locally onto their own laptop because they didn’t have admin rights. I will also discuss other options, such as OSGeoLive.
2020FOSS4G et al.
Vorschaubild
28:31
6Genuchten, Paul van et al.
An evaluation of Search Engine Optimisation in GeoNetwork and how to optimize the SEO via configuration. In 2019 the UK GeoSpatial Commission studied the usage of the UK dataportal. The group found that Search engines generate a substantial amount of their portal usage. For that reason they have developed a best practice document on Search Engine Optimisation (SEO) for (spatial) data portals. In this presentation I present an evaluation of the standard GeoNetwork software against that best practice document and share some hints on how an administrator or data steward can optimize and monitor the SEO via configuration. I’ll also give an introduction to schema.org in GeoNetwork which feeds amongst others Google Dataset Search.
2020FOSS4G et al.
Vorschaubild
27:37
36Hobona, Gobe
State-of-play of the OGC API development. The work has been progressing, to develop various OGC API standards that support a variety of resources. API technologies are in focus of standardization discussions within the geospatial community. Discussions and initiatives in the OGC reached a milestone in 2018: the release of the first of the OGC API standards. Since then work has been progressing to develop additional OGC API standards supporting a variety of resources. OGC members & staff investigated the potential value that OpenAPI could offer to geospatial services. Existing web service standards were effectively web APIs, modernizing their means of getting content to the web required a fairly fundamental change in the underlying design. The first OGC API standard approved & published was Part 1 of the OGC API – Features standard. The pattern “OGC API [resource]” was coined and led to initiatives to define and test draft OGC APIs for Coverages, Maps, Tiles, Styles & Processes. Outputs will support the evolution of a solid, common core and the advancement of a new generation of OGC standards leveraging modern Web API approaches
2020FOSS4G et al.
Vorschaubild
24:40
1McKenzie, Denise
The Locus Charter is an international set of principles and guidance for ethical and good practice in using location data. In 2019 the Omidyar Network funded 2 programmes of work looking at ethical implications of using location data - Benchmark Initiative in the UK and EthicalGEO in the USA. Since then the world has seen an unprecedented situation arise with the spread of COVID-19 across most countries in the world. Location data has been at the fore of understand, predicting and trying to manage the outbreak. A key topic that has arisen during this has been the question “what constitutes ethical use of location data?” This is being openly debated particularly in the use of contact tracing apps that are being developed by many governments across the world. The Locus Charter is a collaboration between the teams a Benchmark and EthicalGEO to develop an agreed set of international principles to help guide practitioners towards the ethical and responsible use of location data in their projects. The program will be reaching its public consultation phase in June.
2020FOSS4G et al.
Vorschaubild
26:24
7Rowlingson, Barry
A review of “Open” in spatial epidemiology over the past thirty years. Nearly thirty years ago I quit my Physics PhD and began to drag GIS, statistics and epidemiology kicking and screaming together, which I’ve been doing ever since. From a world with no WWW, no Linux, and no Open Source, we’ve come to a place where politically-motivated groups attack disease modellers on github over code used to inform government COVID-19 pandemic policy. The talk will introduce some ideas in spatial statistics, epidemiology, and disease surveillance. It will show how the landscape has changed and how Open Source and Open Data are now influencing the debate around disease surveillance in the COVID-19 era. I’ll outline how new technologies for reproducible research can bring about more openness and accountability for disease outbreak epidemiology.
2020FOSS4G et al.
Vorschaubild
27:21
15Ortega Sánchez, Iván
How graphics tech (WebGL, texture formats and shaders) and multispectral imagery (GeoTIFFs with multiple bands or samples) are a perfect match. An overview on the work done in Leaflet.TileLayer.GL (and its OpenLayers port) to let web applications consume raw GeoTIFF data (including multiple bands and pixel formats), in order to perform raster algebra in the web browser itself (that’s called “edge computing” for buzzword-loving people).
2020FOSS4G et al.
Vorschaubild
21:51
19Selwood, Emily
The humble tiff file is used for storing raster data, this talk will take a dive into the internal structure of the format. The humble tiff file is used for storing raster data, when creating them there are many options, it can be difficult to know exactly what options mean and what the implications of them. This talk will dive into the internals of the file format, explaining the overall structure and the historical reasons for some of the options. Then we will go deeper into the bits and bytes and why things are laid out the way they are. This talk will make use of the tiffhax project to explain things.
2020FOSS4G et al.