FOSS4G Demo: Timeseries analysis with Geotrellis

Monday, August 22, 2016

This week we will present the PROBA-V Mission Exploitation Platform @FOSS4G in Bonn. For this occasion, we prepared a notebook showcasing how to use Geotrellis, a cutting edge FOSS tool for Geospatial Raster processing on Hadoop, to analyze large timeseries of remote sensing data. If you are interested, join us on wednesday 24/8 at 12:00 in Bonn!

This is the full notebook, this is a technology preview only, not a scientific publication, and has not been validated:

ESA Proba-V app for Android and iOS

Thursday, March 10, 2016

This mobile application, provided by ESA and partners, serves to promote the ESA Proba-V mission and data by giving users access to vegetation information, as seen from space, and associating this information to pictures taken by the users. Pictures composed through the App can be shared and aggregated through multiple social media channels.

iPython notebooks preview

Wednesday, January 13, 2016

In this post, we'll try to give an overview of how iPython notebooks will be supported by the exploitation platform. As you will see, they provide an interesting environment for quick experiments with a short feedback loop, but also have the power to be true 'digital research papers'.

Introducing the timeseries viewer

Thursday, December 17, 2015

Sattelite missions such has SPOT-VGT and PROBA-V have been capturing the earth on a daily basis for more than 15 years. This has accumulated into a treasure trove of information on how regions in the world have evolved over this period. However, it has not always been easy to quickly extract useful information out of this archive, until now!

MEP PROBA-V release on January 26

Monday, November 30, 2015

The Mission Exploitation Platform (MEP) PROBA-V, as an ESA pathfinder project, has the ambition to complement the PROBA-V user segment by building an operational Exploitation Platform on these data, correlative data and derived products, addressing the wider vegetation user community with the final aim to ease and foster the use of PROBA-V data.