Handling large geospatial raster data with the Earth System Data

Abstract

Abstract: Currently, satellites generate data of the Earth in an unprecedented amount. These datasets need to be processed in a fast and user friendly way to derive comprehensive information. This talk shows how we use the Earth System Data Lab to handle Sentinel-1 time series for the detection of deforestation. Description: The EarthSystemDataLab.jl allows you to handle geospatial raster data easily and fast. You can load data which is too large for your RAM directly from disk in small enough chunks so that it can be paralllelized without you thinking too much about it. The EarthSystemDataLab establishs a data cube workflow, where low- dimensional functions are applied to higher dimensional cubes by functional extension. This means, that user defined functions can act along a particular subset of the input dimensions and loop then across all other input dimensions to get a new data cube which has the unspecified dimensions as well as the output dimensions of the user defined function. We are going to show how we used the EarthSystemDataLab.jl package for the time series analysis of Sentinel-1 data.