Envisat product¶

Envisat product stage-in example.

Import the Python packages¶

[2]:

import os
import cioppy
ciop = cioppy.Cioppy()

Stage-in two ASA_IMS_1P products over L’Aquila¶

[9]:

data_path = os.path.join(os.sep,'workspace','tmp','data')

if not os.path.isdir(data_path):
    os.makedirs(data_path)

[10]:

master = 'https://catalog.terradue.com//envisat/search?uid=ASA_IMS_1PNDPA20080326_204749_000000162067_00129_31746_3124.N1'
slave = 'https://catalog.terradue.com//envisat/search?uid=ASA_IMS_1PNDPA20090311_204746_000000162077_00129_36756_3125.N1'


master = 'https://catalog.terradue.com//envisat/search?uid=ASA_IMS_1PNPDE20090412_092427_000000162078_00079_37207_1530.N1'
slave = 'https://catalog.terradue.com//envisat/search?uid=ASA_IMS_1PNUPA20090201_092428_000000162076_00079_36205_2699.N1'

enclosures = []

search_params = dict([('do', 'terradue')])

for product in [master, slave]:

    search = ciop.search(end_point = product,
                         params = search_params,
                         output_fields='enclosure',
                         model='GeoTime')

    enclosures.append(search[0]['enclosure'])

[11]:

enclosures

[11]:

['https://store.terradue.com/download/envisat/files/v1/ASA_IMS_1PNPDE20090412_092427_000000162078_00079_37207_1530.N1',
 'https://store.terradue.com/download/envisat/files/v1/ASA_IMS_1PNUPA20090201_092428_000000162076_00079_36205_2699.N1']

[12]:

for enclosure in enclosures:

    retrieved = ciop.copy(enclosure, data_path)

    print retrieved

/workspace/tmp/data/ASA_IMS_1PNPDE20090412_092427_000000162078_00079_37207_1530.N1
/workspace/tmp/data/ASA_IMS_1PNUPA20090201_092428_000000162076_00079_36205_2699.N1