GEDI .h5 downloads from datapool very slow

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ojaybee
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GEDI .h5 downloads from datapool very slow

by ojaybee » Tue Jun 28, 2022 5:20 am America/New_York

I'm following the tutorials in the e-learning section of LP DAAC (e.g. https://lpdaac.usgs.gov/resources/e-learning/spatial-querying-of-gedi-version-2-data-in-python/). Everything is working fine but when it comes to downloading .h5 sub orbital files the download speeds are very slow (~200kB/sec). I've tried using the direct links (e.g. https://e4ftl01.cr.usgs.gov//GEDI_L1_L2/GEDI/GEDI02_B.002/2019.08.01/GEDI02_B_2019213043207_O03592_03_T01383_02_003_01_V002.h5)

Is there a quicker way to download these?

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suvedimukti
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Re: GEDI .h5 downloads from datapool very slow

by suvedimukti » Tue Jun 28, 2022 4:50 pm America/New_York

I am encountering the same issue of slow downloading of data.

I would appreciate it if anyone has figured out why the script based *.h5 data download speed is too slow. @Ojaybee have you found the solution to this?

miracle320
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Re: GEDI .h5 downloads from datapool very slow

by miracle320 » Wed Jun 29, 2022 3:57 am America/New_York

Hello
I also had a problem with too slow download speed of GEDI data.
I have contacted URS Support and will share when I get a reply.

miracle320
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Re: GEDI .h5 downloads from datapool very slow

by miracle320 » Thu Jun 30, 2022 11:34 am America/New_York

I received the following contact from my LPDAAC representative.

#################################
Sorry for the slowness, I am not sure if there is much we can do to speed it up. It could be any of several things going on. I have noticed traffic is a little heavier then normal on the server, that is somewhat rare during this time of summer.
Thanks,
#################################

LP DAAC - jwilson
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Re: GEDI .h5 downloads from datapool very slow

by LP DAAC - jwilson » Thu Jun 30, 2022 3:27 pm America/New_York

Please contact lpdaac@usgs.gov if you have any further issues.
Thank you,
Janice

suvedimukti
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Re: GEDI .h5 downloads from datapool very slow

by suvedimukti » Thu Jun 30, 2022 6:35 pm America/New_York

Thanks for the reply. I was downloading my requests (33 files). Using R took more than a day (8 hrs) to download 5 files and the connection was broken frequently. Today I am using python to do the same, although, it shows some certification issues warning for urllib, the download was much faster. However, based on the file size, this speed is slow as well (a single file takes more than 10 minutes)

Thanks for the reply.

Thank you,
Mukti Subedi

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