Posts

Having plenty of satellites available is nice. Having continuous imagery since the 80’s is great. Having better and better satellite imagery is amazing. But it comes a time when all these images must come together. All multi-sensor or long time-series satellite imagery datasets (they usually get long by merging multiple sensors) suffer from slight geographical misalignments. Sometimes these shifts are not important, e.g. creating a gif with urban expansion, but other times are critical, e. [Read More]

Big EO Analytics (Andrei) was at the OpenGeoHub Summer School. Once again, a short trip to the neighbouring country (Germany), but the OpenGeoHub Summer School in Muenster opened an entire world for its students. With participants from all continents (31 countries), and expertise ranging from big data and machine learning to soils and polar region mapping, OpenGeoHub widened the view on the Remote Sensing field. My favorite lecture was Marius Appel’s presentation of gdalcubes. [Read More]

Full day. Lots of excitement. We had an interesting discussion on the proposals of our PhD candidates Cost-benefit analysis for EO algorithm scaling Characterizing fire-related tropical forest change dynamics utilizing multi-sensor remote sensing data Is throwing more money for more computers always the solution? Can it even be a solution? When forest fires are involved, the fastest you can analyze the data, the faster you can act. Stay in touch to find out about the latest developments. [Read More]

Big EO Analytics was at the FAIR Data Science for Green Life Sciences 2018. We’ve only traveled one building away from our home offices in Wageningen. Still, it was great getting access to data experts from Australia, USA, but also from the Netherlands, without even changing our regular coffee brew. [Read More]

Together with the User Committee and NWO we (Wageningen UR) kick started the Big EO Analytics project at Wageningen University. As a first order of business, we are welcoming our newest enthusiastic member of the user committee, Orbital Eye

We are organizing a session about Big EO Data Analytics (C4.01) at the Living Planet Symposium 2019 (Milan, Italy, 13-17 May).

The abstract submission is now open. The deadline to submit abstracts is: 11 November 2018.

The NWO Domain Applied and Engineering Sciences Board has granted the Big EO Analytics project eithin the Open Technology Programme. Europe recently launched Copernicus Sentinel satellite missions marking a new era for Earth Observation. Ground breaking RADAR (Sentinel-1) and optical (Sentinel 2) dense satellite time series data with global coverage are available free-of-charge to support services and science. The sheer volume of the data and information brings a big data challenge for the Earth Observation community. [Read More]