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Cloudferro's open source QGIS plugin for discovery of Copernicus data

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Cloudferro's open source QGIS plugin for discovery of Copernicus data
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156
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CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Cloudferro's repository contains nearly 67 Pb of EO data. So far, there wasn't any service providing easy access to data basing on OGC standards. For the past year, there was put work on creating a WebMapService (WMS), specifically for European satellite missions - Sentinel -2 and Sentinel-1. In result, company developed a vast OGC services, based on analysis ready original Sentinel data stored in Cloudferro's repository, which serves as a official ESA storage. Although the services are here, there is also a need for a tool enabling users to use those services. This paper presents the tool, which uses those services and works as a framework for potential users in form of a QGIS plugin. Although web services are based on OGC standards and this allows majority of GIS software establish connection with them, it's still unintuitive to build and use raw URL request. QGIS plugin provides a simple GUI to construct all necessary requests in a simple and fast way. Thanks to that, users can start work with EO data in a simple and comfortable manner. This plugin not only serves as a display tool, but also provide functions for analysis and download of Sentinel-1 and Sentinel-2 images thanks to WebCoverageService (WCS). On the other hand, thanks to usage of Virtual Rasters (VRT), displayed data can be analysed on demand i.e.: mask all clouds in Sentinel-2 true colour images. The biggest advantage of this solution is an easy access to original, not processed Sentinel data, which are obtained every day. Since plugin can provide both display and download capabilities, this tool seems perfect for small processing tasks done by students on vast universities. By this, those students could easily get in touch with Sentinel data and enlarge European EO community.
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127
Musical ensembleLecture/Conference
Standard deviationProcess (computing)SpacetimeComputer animation
Plug-in (computing)Visualization (computer graphics)Process (computing)Standard deviationService (economics)Visualization (computer graphics)Plug-in (computing)Computer animation
Visualization (computer graphics)Process (computing)Programmer (hardware)Standard deviationComputer animation
Computer programMathematicsProjective planeVisualization (computer graphics)Photographic mosaicPoint cloudPixelRow (database)FunktionalanalysisComputer animation
PixelFile formatImage resolutionMaxima and minimaLevel (video gaming)Virtual machineFunktionalanalysisTime seriesMetreMultiplication signComputer animation
Function (mathematics)Programmer (hardware)Presentation of a groupFunctional (mathematics)Medical imagingService (economics)Multiplication signWeb browserRange (statistics)Computer animation
AuthenticationLibrary catalogTemporal logicSatelliteGroup actionStandard deviationFile archiverCASE <Informatik>Centralizer and normalizerPoint (geometry)Computer programmingComputer animation
Least squaresComputer-assisted translationComputer animation
Transcript: English(auto-generated)
Hi, I'm Miho Bojko, and I'm an engineer data scientist at Cloud Fero, and today I would like to tell you about QGIS plugin that we are developing currently. So, fast forward, fast forward, this work.
It's, oh, okay. So, what's the main idea behind our plugin? We are developing currently WMS and WCS services, so we are trying to create also a tool
for easy access to those services, like so easy visualization and also easy end of loading via those services, and the QGIS plugin is the answer for those problems.
Like, you can just, let's see, you can just define the temporal extent, and with one click of a button at WMS layer button, you can add to your QGIS project a new layer, like for example here you can see a layer of one week
from Sentinel-2 data, and besides only showing data, we're also processing this data on fly. So, here you can see those aren't raw, original images,
but this is a cloudless mosaic. So, the pixels that are for clouds are made transparent, so they are invisible. And besides only visualization from this function, there's also a loading function where you just,
all you need to do is define time series, like in a previous step, and you also need to define pbox, and you're doing this just by drawing it on the map. So, with those easy steps, you can download original data
in the maximum resolution, like 10 meters on 10 meters. And it's not in geotiff format, so you can actually do whatever you want when you download it on your machine. And everything goes like just with this simple UI.
And besides those two functions, there are a lot of small functions that will help you in presentation or editing data for presentation, like here is example of how plugin handles
get off request of WMS service, where you just do exactly the same steps, like in WCS, where you define time range, and you draw bbox, and when you hit finish button, it copies get map request into a clipboard,
and you can just pass it in browser, and you will get a PNG image. And those are things that we have now, but what's next? And we want to add more collections, like central one.
We want to alter the case users via S3 credential. We want to allow users access to whole archive of Copernicus program, and the most important point, transition to stack, which probably will be new standard of cataloging satellite data,
and special temporal data. And thank you.