Denser time series of LAI

[jeroen.dries]

Hi Adrien,

you’re right, we were a bit slow to look into this as I was not available for support in the past weeks, apologies for that.

In any case, your job is running into memory problems due to the long timeseries. The job with one band does work, probably simply because one band requires less memory.

The best solution for now is to increase memory, which is also described here:

Memory - overhead problem

Hi Andrea, it’s already quite efficient. One trick we can add is to change the data type to something smaller. I’m guessing you now get float32 output, and we can scale this for instance to shorts. If your current range is between 0 and 1, you could do: cube.linear_scale_range(0.0,1.0,0,10000) It is however nog guaranteed to work, so simply increasing memory is also an option. You can try the settings below to add 1GB to each worker:

Can you try that? I’m also looking a bit further at the job itself, sometimes there’s other ways to reduce memory usage.

best regards,
Jeroen