Python SentinelAPI.get_footprints方法代码示例

# 需要导入模块: from sentinelsat.sentinel import SentinelAPI [as 别名]
# 或者: from sentinelsat.sentinel.SentinelAPI import get_footprints [as 别名]
    def query_and_create(self, start=None, end=None):
        '''Query the last scene available on period filtered by start time
        and end dates. By default start is current time and end is 7 days ago.'''

        end = end or datetime.utcnow()
        start = start or datetime.utcnow() - timedelta(days=7)
        coords = ','.join([('%f %f' % coord) for coord in self.geom.coords[0]])

        scenes_created = []

        try:
            api = SentinelAPI(settings.SENTINEL_USER, settings.SENTINEL_PASSWORD, settings.SENTINEL_API_URL)
            print('sentinel initialized on %s, with %s - %s' %
                  (settings.SENTINEL_API_URL, settings.SENTINEL_USER, settings.SENTINEL_PASSWORD))
        except AttributeError:
            api = SentinelAPI(settings.SENTINEL_USER, settings.SENTINEL_PASSWORD)
            print('sentinel initialized on %s, with %s - %s' %
                  (settings.SENTINEL_API_URL, ettings.SENTINEL_USER, settings.SENTINEL_PASSWORD))

        print('sentinelsat query -s %s -e %s coords %s q %s' % (start, end, coords, self.query))

        if self.query:
            query = dict([i.split('=') for i in self.query.split(',')])
            api.query(coords, start, end, **query)
        else:
            api.query(coords, start, end)

        features = api.get_footprints()['features']
        print('%s features found' % len(features))

        for feature in features:
            product_id = feature['properties']['product_id']

            try:
                Scene.objects.get(product=product_id)
                print('Scene of product %s already exists' % product_id)

            except Scene.DoesNotExist:
                print('Creating scene with data: %s' % feature)

                scene = Scene.objects.create(
                    product=product_id,
                    identifier=feature['properties']['identifier'],
                    date=datetime.strptime(
                        feature['properties']['date_beginposition'],
                        '%Y-%m-%dT%H:%M:%S.%fZ'
                    ),
                    polarisation=feature['properties']['polarisationmode'],
                    orbit_direction=feature['properties']['orbitdirection'],
                    sensor_mode=feature['properties']['sensoroperationalmode'],
                    product_type=feature['properties']['producttype'],
                    sat=feature['properties']['platformname'],
                    geom=Polygon(feature['geometry']['coordinates'][0]))
                
                print('Scene of product %s created' % product_id)
                
                scenes_created.append(scene)
        return scenes_created

# 需要导入模块: from sentinelsat.sentinel import SentinelAPI [as 别名]
# 或者: from sentinelsat.sentinel.SentinelAPI import get_footprints [as 别名]
def test_footprints_s2():
    api = SentinelAPI(**_api_auth)
    api.query(
        get_coordinates('tests/map.geojson'),
        "20151219", "20151228", platformname="Sentinel-2"
    )

    with open('tests/expected_search_footprints_s2.geojson', 'r') as geojson_file:
        expected_footprints = geojson.loads(geojson_file.read())
        # to compare unordered lists (JSON objects) they need to be sorted or changed to sets
        assert set(api.get_footprints()) == set(expected_footprints)

# 需要导入模块: from sentinelsat.sentinel import SentinelAPI [as 别名]
# 或者: from sentinelsat.sentinel.SentinelAPI import get_footprints [as 别名]
def test_footprints_s1():
    api = SentinelAPI(**_api_auth)
    api.query(
        get_coordinates('tests/map.geojson'),
        datetime(2014, 10, 10), datetime(2014, 12, 31), producttype="GRD"
    )

    with open('tests/expected_search_footprints_s1.geojson', 'r') as geojson_file:
        expected_footprints = geojson.loads(geojson_file.read())
        # to compare unordered lists (JSON objects) they need to be sorted or changed to sets
        assert set(api.get_footprints()) == set(expected_footprints)

# 需要导入模块: from sentinelsat.sentinel import SentinelAPI [as 别名]
# 或者: from sentinelsat.sentinel.SentinelAPI import get_footprints [as 别名]
def test_footprints():
    api = SentinelAPI(
    environ.get('SENTINEL_USER'),
    environ.get('SENTINEL_PASSWORD')
    )
    api.query(get_coordinates('tests/map.geojson'), datetime(2014, 10, 10), datetime(2014, 12, 31), producttype="GRD")

    expected_footprints = geojson.loads(open('tests/expected_search_footprints.geojson', 'r').read())

    # to compare unordered lists (JSON objects) they need to be sorted or changed to sets
    assert set(api.get_footprints()) == set(expected_footprints)

# 需要导入模块: from sentinelsat.sentinel import SentinelAPI [as 别名]
# 或者: from sentinelsat.sentinel.SentinelAPI import get_footprints [as 别名]
def search(
        user, password, geojson, start, end, download, md5,
        sentinel1, sentinel2, cloud, footprints, path, query, url):
    """Search for Sentinel products and, optionally, download all the results
    and/or create a geojson file with the search result footprints.
    Beyond your SciHub user and password, you must pass a geojson file
    containing the polygon of the area you want to search for. If you
    don't specify the start and end dates, it will search in the last 24 hours.
    """
    api = SentinelAPI(user, password, url)

    search_kwargs = {}
    if cloud:
        search_kwargs.update(
            {"platformname": "Sentinel-2",
            "cloudcoverpercentage": "[0 TO %s]" % cloud})
    elif sentinel2:
        search_kwargs.update({"platformname": "Sentinel-2"})
    elif sentinel1:
        search_kwargs.update({"platformname": "Sentinel-1"})

    if query is not None:
        search_kwargs.update(dict([i.split('=') for i in query.split(',')]))

    api.query(get_coordinates(geojson), start, end, **search_kwargs)

    if footprints is True:
        footprints_geojson = api.get_footprints()
        with open(os.path.join(path, "search_footprints.geojson"), "w") as outfile:
            outfile.write(gj.dumps(footprints_geojson))

    if download is True:
        result = api.download_all(path, checksum=md5)
        if md5 is True:
            corrupt_scenes = [(path, info["id"]) for path, info in result.items() if info is not None]
            if len(corrupt_scenes) > 0:
                with open(os.path.join(path, "corrupt_scenes.txt"), "w") as outfile:
                    for corrupt_tuple in corrupt_scenes:
                        outfile.write("%s : %s\n" % corrupt_tuple)
    else:
        for product in api.get_products():
            print('Product %s - %s' % (product['id'], product['summary']))
        print('---')
        print(
            '%s scenes found with a total size of %.2f GB' %
            (len(api.get_products()), api.get_products_size()))

# 需要导入模块: from sentinelsat.sentinel import SentinelAPI [as 别名]
# 或者: from sentinelsat.sentinel.SentinelAPI import get_footprints [as 别名]
def search(user, password, geojson, start, end, download, footprints, path, query):
    """Search for Sentinel-1 products and, optionally, download all the results
    and/or create a geojson file with the search result footprints.
    Beyond your SciHub user and password, you must pass a geojson file
    containing the polygon of the area you want to search for. If you
    don't specify the start and end dates, it will search in the last 24 hours.
    """
    api = SentinelAPI(user, password)
    if query is not None:
        query = dict([i.split('=') for i in query.split(',')])
        api.query(get_coordinates(geojson), start, end, **query)
    else:
        api.query(get_coordinates(geojson), start, end)

    if footprints is True:
        footprints_geojson = api.get_footprints()
        with open(os.path.join(path, "search_footprints.geojson"), "w") as outfile:
            outfile.write(gj.dumps(footprints_geojson))

    if download is True:
        api.download_all(path)
    else:
        for product in api.get_products():
            print('Product %s - %s' % (product['id'], product['summary']))