This python script uses the Airbus Geo Catalog API to retrieve the meta-data associated to a list of imagery identifiers

get_meta.py

# Script : get_meta.py
# Source : https://gist.github.com/jeffaudi/9fcac727cf6251287ecc/
# Copyright (c) 2014, Jeff Faudi
# All rights reserved.
#  
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#  
#  * Redistributions of source code must retain the above copyright notice, this
#    list of conditions and the following disclaimer.
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#  * Redistributions in binary form must reproduce the above copyright notice,
#    this list of conditions and the following disclaimer in the documentation
#    and/or other materials provided with the distribution.
#  
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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import csv
import httplib2
import json
from pprint import pprint
import time

# get API key from http://www.astrium-geo.com/en/5044-api-multi-catalog-user-guide-obtaining-an-api-key 
key = 'paste-your-API-key-here'

# variables to store the results
idents = []
counter = 0

# create an httplib2.Http object to handle our HTTP requests 
http = httplib2.Http()

# ident.csv is the list of Airbus imagery identifiers
with open('ident.csv', 'rb') as csvfile:
    identreader = csv.reader(csvfile, delimiter=';')
    for row in identreader:
        # count the lines
        counter += 1
        
        # skip the first line, create the header on result file
        if counter == 1:
            idents.append(['ident', 'acquisitionDate', 'resolution', 'satellite', 
                'sensorFamily', 'productId', 'productType', 'qualityQuotes', 'cloudCoverPercentage', 
                'snowCoverPercentage', 'incidenceAngle', 'acrossTrackIncidenceAngle', 'alongTrackIncidenceAngle', 
                'combinedViewingAngle', 'roll', 'pitch', 'archivingStation', 'receivingStation', 'shift', 'maxShift', 
                'orbitNumber', 'orientationAngle', 'sunAzimuth', 'imageUrl', 'wktBounds', 'wktCenter', 'wktFootprint']) 
            continue
        
        # for testing purposes, read only the first ident line
        #if counter == 5:
        #    break
        
        # print a note to the user
        print '{:3d}: Querying {}'.format(counter, row[0])

        # prepare and send the request to the API
        request = 'http://api.astrium-geo.com/catalog/data/features.svc/features/'
        request += row[0]
        request += '?of=geojson&sk=' + key
        response, content = http.request(request)

        # if request returns
        if response.status == 200:
            # parse the JSON
            resource = json.loads(content)
            
            # for testing purposes, print the JSON
            # pprint(resource)
            
            # check for result code 
            if resource['code'] == 'OK':
                # get properties of first image return
                row.append(resource['features'][0]['properties']['acquisitionDate'][0:10])
                row.append(resource['features'][0]['properties']['resolution'])
                row.append(resource['features'][0]['properties']['satellite'])
                row.append(resource['features'][0]['properties']['sensorFamily'])

                row.append(resource['features'][0]['properties']['productId'])
                row.append(resource['features'][0]['properties']['productType'])
                row.append(resource['features'][0]['properties']['qualityQuotes'])

                row.append(resource['features'][0]['properties']['cloudCoverPercentage'])    
                row.append(resource['features'][0]['properties']['snowCoverPercentage'])

                row.append(resource['features'][0]['properties']['incidenceAngle'])    
                row.append(resource['features'][0]['properties']['acrossTrackIncidenceAngle'])    
                row.append(resource['features'][0]['properties']['alongTrackIncidenceAngle'])  
                row.append(resource['features'][0]['properties']['combinedViewingAngle'])   
                row.append(resource['features'][0]['properties']['roll'])
                row.append(resource['features'][0]['properties']['pitch'])

                row.append(resource['features'][0]['properties']['archivingStation'])  
                row.append(resource['features'][0]['properties']['receivingStation'])
                row.append(resource['features'][0]['properties']['shift'])
                row.append(resource['features'][0]['properties']['maxShift'])
                row.append(resource['features'][0]['properties']['orbitNumber'])
                row.append(resource['features'][0]['properties']['orientationAngle'])
                row.append(resource['features'][0]['properties']['sunAzimuth'])

                row.append(resource['features'][0]['properties']['imageUrl'])                     
                row.append(resource['features'][0]['properties']['wktBounds'])
                row.append(resource['features'][0]['properties']['wktCenter'])
                row.append(resource['features'][0]['properties']['wktFootprint'])
                
                # add the row to the result file
                idents.append(row)

        # wait for 1 second before the next request     
        time.sleep(1)

# write all content to a CSV file
with open('ident_meta.csv', 'wb') as output:
    identwriter = csv.writer(output, delimiter=';')
    for row in idents:
        identwriter.writerow(row)