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This python script uses the Airbus Geo Catalog API to retrieve the meta-data associated to a list of imagery identifiers
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# 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. | |
# | |
# * 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, | |
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE | |
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | |
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) |
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