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. gdalcubes puts together all gdal tools for a seamless, natural interaction with time-series datasets. The best part of it is that, although it has an R wrapper, and it is mostly used by R users, it is in fact a C++ library. This might come in handy for the optimal spatio-temporal resolution project, as it targets big time-series datasets. If you want to learn more about gdalcubes, read Marius’ post on R-bloggers
