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Problem with Landsat5 specific dates data

  • 26 April 2024
  • 4 replies
  • 4 views

I’m using the python API to download a batch of images and I get the following error:


DownloadFailedException: Failed to download from:



https://services-uswest2.sentinel-hub.com/api/v1/process

with HTTPError:

500 Server Error: Internal Server Error for url: https://services-uswest2.sentinel-hub.com/api/v1/process

Server response: “{“error”:{“status”:500,“reason”:“Internal Server Error”,“message”:“Illegal request to s3://usgs-landsat/collection02/level-2/standard/tm/2007/190/031/LT05_L2SP_190031_20070314_20200830_02_T2/LT05_L2SP_190031_20070314_20200830_02_T2_SR_B1.TIF. HTTP Status: ‘403’”,“code”:“RENDERER_EXCEPTION”}}”



before calling the API I’m doing a search to see what the catalog has. and this date exists in the catalogue:



datetime.datetime(2007, 3, 14, 9, 42, 9, 464000, tzinfo=tzutc()),



a few other datapoints also have an issue. for example:



DownloadFailedException: Failed to download from:
https://services-uswest2.sentinel-hub.com/api/v1/process

with HTTPError:

500 Server Error: Internal Server Error for url: https://services-uswest2.sentinel-hub.com/api/v1/process

Server response: “{“error”:{“status”:500,“reason”:“Internal Server Error”,“message”:“Illegal request to s3://usgs-landsat/collection02/level-2/standard/tm/2007/191/031/LT05_L2SP_191031_20070711_20200830_02_T1/LT05_L2SP_191031_20070711_20200830_02_T1_SR_B1.TIF. HTTP Status: ‘403’”,“code”:“RENDERER_EXCEPTION”}}”



I’m going over my list from 2005 to 2011 and removing the bad connections.

in this coordinates (a very small area):



<13.110,41.8185,13.1195,41.8275]



my code works for other dates. I don’t mind to miss those few images, but was wondering if the problem is on my end or the server/catalogue?

update:

the full list of “faulty” dates:

filtereddates_remove=o datetime.datetime(2007, 3, 14, 9, 42, 9, 464000, tzinfo=tzutc()),

datetime.datetime(2007, 7, 11, 9, 47, 5, 138000, tzinfo=tzutc()),

datetime.datetime(2007, 8, 12, 9, 46, 46, 151000, tzinfo=tzutc()),

datetime.datetime(2008, 8, 30, 9, 38, 53, 645000, tzinfo=tzutc()),]


once those 4 are removes, I can extract the data for the entire duration.

Hi,

Thank you for reporting. We’re investigating and will get back to you soon.

Best Regards

Hi,

It turns out that the error came from the data provider. We’ve reported the issue to USGS.

Best Regards

oh nice.

thanks for the update

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