Python API sentinelsat error in download

Question

I am having a go at using the sentinelsat python API to download satellite imagery. However, I am receiving error messages when I try to convert to a pandas dataframe. This code works and downloads my requested sentinel satellite images:

from sentinelsat import SentinelAPI, read_geojson, geojson_to_wkt
from datetime import date

api = SentinelAPI('*****', '*****', 'https://scihub.copernicus.eu/dhus')

footprint = geojson_to_wkt(read_geojson('testAPIpoly.geojson'))

products = api.query(footprint, cloudcoverpercentage = (0,10))

#this works  
api.download_all(products)

However if I instead attempt to convert to a pandas dataframe

#api.download_all(products)

#this does not work
products_df = api.to_dataframe(products)

api.download_all(products_df)

I receive an extensive error message that includes

"sentinelsat.sentinel.SentinelAPIError: HTTP status 500 Internal Server Error: InvalidKeyException : Invalid key (processed) to access Products "

(where processed is also replaced with title, platformname, processingbaseline, etc.). I've tried a few different ways to convert to a dataframe and filter/sort results and have received an error message every time (note: I have pandas/geopandas installed). How can I convert to a dataframe and filter/sort with the sentinelsat API?

Ioannis Nasios · Accepted Answer · 2018-07-11 08:36:47Z

1

Instead of

api.download_all(products_df)

try

api.download_all(products_df.index)

answered Jul 11, 2018 at 8:36

Ioannis Nasios

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6 Comments

dave Over a year ago

Thanks-- this worked. From the documentation, they have api.download_all(products_df_sorted['id']) which returns me a "KeyError: 'id'". Why?

Ioannis Nasios Over a year ago

You are very welcome to accept the answer - see What should I do when someone answers my question?

dave Over a year ago

Done. Any idea on why the indexing from the documentation is not working?

Ioannis Nasios Over a year ago

I guess the creators of sentinelsat package meant to create a column in the dataframe named 'id' where ids would be stored but instead ids are stored as row names (index).

Kersten Over a year ago

The docs point to using api.download_all(df.index) and have been for some time. Where did you find the example using df['id'] @dave?

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