JuliaCon 2020 | Handling large geospatial raster data with the Earth System Data | Felix Cremer

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.

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.
the time series analysis of Sentinel-1 data. Time Stamps:

00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.

[alequech]

I can't hear, I think there's a problem with the audio on the video

[SurreyDocksFarm]

Me too! This is a very interesting talk. Can someone look at the sound please?