def test_aws_file_path(self):
# PRE s3://landsat-pds/L8/139/045/LC81390452014295LGN00/
# non-PRE s3://landsat-pds/c1/L8/139/045/LC08_L1TP_139045_20170304_20170316_01_T1/
metadataservice = MetadataService()
start_date = datetime.datetime.strptime('14295', '%y%j').date()
landsat_filters = LandsatQueryFilters()
landsat_filters.wrs_path.set_value(139)
landsat_filters.wrs_row.set_value(45)
landsat_filters.acquired.set_range(start_date, True, start_date, True)
landsat_filters.collection_number.set_value("PRE")
rows = metadataservice.search(SpacecraftID.LANDSAT_8,
data_filters=landsat_filters)
# turn gernator into list
metadata_set = list(rows)
self.assertEqual(len(metadata_set), 1)
metadata = metadata_set[0]
self.assertEqual(metadata.get_aws_file_path(), "/imagery/L8/139/045/LC81390452014295LGN00")
landsat_filters = LandsatQueryFilters()
landsat_filters.wrs_path.set_value(139)
landsat_filters.wrs_row.set_value(45)
# landsat_filters.collection_number.set_exclude_value("PRE")
landsat_filters.acquired.set_range(start=date(2017, 3, 4), end=date(2017, 3, 4))
rows = metadataservice.search(SpacecraftID.LANDSAT_8,
data_filters=landsat_filters)
metadata_set = list(rows)
self.assertEqual(len(metadata_set), 2)
metadata = metadata_set[0]
self.assertEqual(metadata.get_aws_file_path(),
"/imagery/c1/L8/139/045/LC08_L1TP_139045_20170304_20170316_01_T1")
metadata = metadata_set[1]
self.assertEqual(metadata.get_aws_file_path(),
"/imagery/L8/139/045/LC81390452017063LGN00")
def test_cloud_cover(self):
metadata_service = MetadataService()
landsat_filters = LandsatQueryFilters()
landsat_filters.cloud_cover.set_value(0)
# landsat_filters.scene_id.set_value("LC80390332016208LGN00")
# sql_filters = ['cloud_cover=0']
d_start = date(2015, 6, 24)
d_end = date(2016, 6, 24)
bounding_box = (-115.927734375, 34.52466147177172, -78.31054687499999,
44.84029065139799)
landsat_filters.acquired.set_range(d_start, True, d_end, True)
landsat_filters.aoi.set_bounds(*bounding_box)
rows = metadata_service.search(SpacecraftID.LANDSAT_8,
data_filters=landsat_filters)
rows = list(rows)
self.assertEqual(len(rows), 10)
for row in rows:
self.assertEqual(row.spacecraft_id.name,
SpacecraftID.LANDSAT_8.name)
d_actual = datetime.datetime.strptime(row.date_acquired,
'%Y-%m-%d').date()
self.assertLessEqual(d_actual, d_end)
self.assertGreaterEqual(d_actual, d_start)
test_box = row.bounds
self.assertTrue(
(bounding_box[0] < test_box[2] < bounding_box[2])
or (bounding_box[0] < test_box[0] < bounding_box[2]))
self.assertTrue(
(bounding_box[1] < test_box[3] < bounding_box[3])
or (bounding_box[1] < test_box[1] < bounding_box[3]))
def test_end_date(self):
r = requests.get(
"https://raw.githubusercontent.com/johan/world.geo.json/master/countries/BEL.geo.json"
)
area_geom = r.json()
area_shape = shapely.geometry.shape(
area_geom['features'][0]['geometry'])
# gs://gcp-public-data-landsat/LC08/PRE/044/034/LC80440342016259LGN00/
metadata_service = MetadataService()
d = date(2016, 6, 24)
landsat_filter = LandsatQueryFilters()
landsat_filter.acquired.set_range(end=d, end_inclusive=True)
landsat_filter.acquired.sort_by(epl_imagery_pb2.DESCENDING)
landsat_filter.aoi.set_bounds(*area_shape.bounds)
rows = metadata_service.search(SpacecraftID.LANDSAT_8,
data_filters=landsat_filter)
rows = list(rows)
self.assertEqual(len(rows), 10)
d_previous = d
for row in rows:
self.assertEqual(row.spacecraft_id.name,
SpacecraftID.LANDSAT_8.name)
d_actual = datetime.datetime.strptime(row.date_acquired,
'%Y-%m-%d').date()
self.assertLessEqual(d_actual, d_previous)
d_previous = d_actual
def test_start_date(self):
# gs://gcp-public-data-landsat/LC08/PRE/044/034/LC80440342016259LGN00/
metadata_service = MetadataService()
d = date(2016, 6, 24)
landsat_filters = LandsatQueryFilters()
landsat_filters.acquired.set_range(d, True)
landsat_filters.wrs_path.set_value(125)
landsat_filters.wrs_row.set_value(49)
landsat_filters.acquired.sort_by(epl_imagery_pb2.ASCENDING)
landsat_filters.acquired.set_range(end=d, end_inclusive=True)
rows = metadata_service.search(SpacecraftID.LANDSAT_8,
data_filters=landsat_filters)
rows = list(rows)
self.assertEqual(len(rows), 10)
d_previous = datetime.datetime.strptime("1945-01-01",
'%Y-%m-%d').date()
for row in rows:
self.assertEqual(row.spacecraft_id.name,
SpacecraftID.LANDSAT_8.name)
d_actual = datetime.datetime.strptime(row.date_acquired,
'%Y-%m-%d').date()
# test Order by
self.assertGreaterEqual(d_actual, d_previous)
d_previous = d_actual
def test_polygon_boundary(self):
d_start = date(2017, 3, 12) # 2017-03-12
d_end = date(2017, 3, 19) # 2017-03-20, epl api is inclusive
r = requests.get(
"https://raw.githubusercontent.com/johan/world.geo.json/master/countries/USA/NM/Taos.geo.json"
)
taos_geom = r.json()
taos_shape = shapely.geometry.shape(
taos_geom['features'][0]['geometry'])
metadata_service = MetadataService()
landsat_filters = LandsatQueryFilters()
landsat_filters.collection_number.set_value("PRE")
landsat_filters.acquired.set_range(d_start, True, d_end, True)
landsat_filters.aoi.set_geometry(taos_shape.wkb)
# landsat_filters.geometry_bag.geometry_binaries.append(taos_shape.wkb)
metadata_rows = metadata_service.search(SpacecraftID.LANDSAT_8,
limit=10,
data_filters=landsat_filters)
# mounted directory in docker container
metadata_set = []
for row in metadata_rows:
metadata_set.append(row)
self.assertEqual(len(metadata_set), 2)
def setUp(self):
metadata_service = MetadataService()
d_start = date(2015, 6, 24)
d_end = date(2016, 6, 24)
bounding_box = (-115.927734375, 34.52466147177172, -78.31054687499999, 44.84029065139799)
landsat_filters = LandsatQueryFilters()
landsat_filters.scene_id.set_value("LC80400312016103LGN00")
rows = metadata_service.search(SpacecraftID.LANDSAT_8,
limit=1,
data_filters=landsat_filters)
rows = list(rows)
self.m_row_data = rows[0]
wkt_iowa = "POLYGON((-93.76075744628906 42.32707774458643,-93.47854614257812 42.32707774458643," \
"-93.47854614257812 42.12674735753131,-93.76075744628906 42.12674735753131," \
"-93.76075744628906 42.32707774458643))"
self.iowa_polygon = loads(wkt_iowa)
gdal.SetConfigOption('GDAL_VRT_ENABLE_PYTHON', "YES")
d_start = date(2017, 3, 12) # 2017-03-12
d_end = date(2017, 3, 19) # 2017-03-20, epl api is inclusive
landsat_filters = LandsatQueryFilters()
landsat_filters.collection_number.set_exclude_value("PRE")
landsat_filters.acquired.set_range(start=d_start, end=d_end)
landsat_filters.aoi.set_bounds(*self.taos_shape.bounds)
landsat_filters.data_type.set_exclude_value('L1GT')
rows = self.metadata_service.search(
SpacecraftID.LANDSAT_8,
limit=10,
data_filters=landsat_filters)
for row in rows:
self.metadata_set.append(row)
def test_metatdata_file_list(self):
wkt = "POLYGON((136.2469482421875 -27.57843813308233,138.6639404296875 -27.57843813308233," \
"138.6639404296875 -29.82351878748485,136.2469482421875 -29.82351878748485,136." \
"2469482421875 -27.57843813308233))"
polygon = loads(wkt)
metadata_service = MetadataService()
# sql_filters = ['cloud_cover=0']
d_start = date(2006, 8, 4)
d_end = date(2006, 8, 5)
bounding_box = polygon.bounds
# sql_filters = ['wrs_row=79']
landsat_filters = LandsatQueryFilters()
# landsat_filters.wrs_path.set_value(125)
landsat_filters.wrs_row.set_value(79)
landsat_filters.acquired.set_range(d_start, True, d_end, True)
landsat_filters.aoi.set_bounds(*bounding_box)
rows = metadata_service.search(
SpacecraftID.LANDSAT_5,
data_filters=landsat_filters)
rows = list(rows)
metadata = rows[0]
self.assertEqual(len(metadata.get_file_list()), 0)
def test_scene_id(self):
landsat_filters = LandsatQueryFilters()
landsat_filters.scene_id.set_value("LC80390332016208LGN00")
metadata_service = MetadataService()
rows = metadata_service.search(SpacecraftID.LANDSAT_8,
data_filters=landsat_filters)
rows = list(rows)
self.assertEqual(len(rows), 1)
def test_where_start(self):
# sql_filters = ['scene_id="LC80270312016188LGN00"']
landsat_filters = LandsatQueryFilters()
landsat_filters.scene_id.set_value("LC80270312016188LGN00")
metadata_service = MetadataService()
metadata_rows = metadata_service.search(
SpacecraftID.UNKNOWN_SPACECRAFT, data_filters=landsat_filters)
metadata_set = list(metadata_rows)
self.assertEqual(1, len(metadata_set))
def test_delete_storage(self):
metadata_service = MetadataService()
d_start = date(2015, 6, 24)
d_end = date(2016, 6, 24)
bounding_box = (-115.927734375, 34.52466147177172, -78.31054687499999, 44.84029065139799)
landsat_filters = LandsatQueryFilters()
landsat_filters.acquired.set_range(d_start, True, d_end, True)
landsat_filters.aoi.set_bounds(*bounding_box)
rows = metadata_service.search(SpacecraftID.LANDSAT_8,
data_filters=landsat_filters,
limit=1)
rows = list(rows)
metadata = rows[0]
def test_all_sat_data(self):
metadata_service = MetadataService()
landsat_filters = LandsatQueryFilters()
landsat_filters.cloud_cover.set_value(0)
d_start = date(2004, 6, 24)
d_end = date(2008, 6, 24)
bounding_box = (-115.927734375, 34.52466147177172, -114.31054687499999, 35.84029065139799)
landsat_filters.acquired.set_range(d_start, True, d_end, True)
landsat_filters.aoi.set_bounds(*bounding_box)
rows = metadata_service.search(
data_filters=landsat_filters)
rows = list(rows)
first_item = rows[0]
self.assertEqual(len(rows), 10)
rows = metadata_service.search(
satellite_id=SpacecraftID.UNKNOWN_SPACECRAFT,
data_filters=landsat_filters)
rows = list(rows)
other_item = rows[0]
self.assertEqual(len(rows), 10)
self.assertEqual(first_item.scene_id, other_item.scene_id)
def test_alaskan_aleutians(self):
# wkt = "MULTIPOLYGON (((40 40, 20 45, 45 30, 40 40)), ((-172 53, 175 53, 175 48, -172 48, -172 53)), ((20 35, 45 20, 30 5, 10 10, 10 30, 20 35), (30 20, 20 25, 20 15, 30 20)))"
wkt = "POLYGON((-172 53, 175 53, 175 48, -172 48, -172 53))"
islands_shape = loads(wkt)
self.assertFalse(islands_shape.exterior.is_ccw)
query_filter = LandsatQueryFilters()
query_filter.aoi.set_geometry(islands_shape.wkb)
# query_filter.geometry_bag.geometry_binaries.append(islands_shape.wkb)
metadata_service = MetadataService()
rows = metadata_service.search(SpacecraftID.LANDSAT_8,
limit=10,
data_filters=query_filter)
stuff = list(rows)
self.assertEqual(10, len(stuff))
def test_no_bounding_box(self):
d_start = date(2003, 4, 4)
d_end = date(2003, 4, 7)
landsat_filters = LandsatQueryFilters()
landsat_filters.wrs_path.set_value(125)
landsat_filters.wrs_row.set_value(49)
# sql_filters = ['wrs_row=49', 'wrs_path=125']
metadata_service = MetadataService()
landsat_filters.acquired.set_range(d_start, True, d_end, True)
rows = metadata_service.search(
satellite_id=None,
data_filters=landsat_filters)
rows = list(rows)
self.assertEqual(len(rows), 3)
def test_one_day(self):
# gs://gcp-public-data-landsat/LC08/PRE/044/034/LC80440342016259LGN00/
metadata_service = MetadataService()
d = date(2016, 6, 24)
landsat_filter = LandsatQueryFilters()
landsat_filter.acquired.set_value(d)
rows = metadata_service.search(SpacecraftID.LANDSAT_8,
data_filters=landsat_filter)
rows = list(rows)
self.assertEqual(len(rows), 10)
for row in rows:
self.assertEqual(row.spacecraft_id.name,
SpacecraftID.LANDSAT_8.name)
d_actual = datetime.datetime.strptime(row.date_acquired,
'%Y-%m-%d').date()
self.assertEqual(d_actual, d)
def test_google_aws_mismatch(self):
metadata_service = MetadataService()
d_start = date(2017, 6, 24)
d_end = date(2017, 9, 24)
bounding_box = (-115.927734375, 34.52466147177172, -78.31054687499999, 44.84029065139799)
landsat_filters = LandsatQueryFilters()
landsat_filters.collection_number.set_exclude_value("PRE")
landsat_filters.acquired.set_range(start=d_start, end=d_end)
landsat_filters.aoi.set_bounds(*bounding_box)
rows = metadata_service.search(SpacecraftID.LANDSAT_8,
limit=2,
data_filters=landsat_filters)
# generator to list
rows = list(rows)
metadata = rows[0]
# self.assertEqual('LC08_L1GT_135215_20170916_20170916_01_RT', metadata.product_id)
self.assertEqual('RT', metadata.collection_category)
def test_get_file(self):
d_start = date(2015, 6, 24)
d_end = date(2016, 6, 24)
bounding_box = (-115.927734375, 34.52466147177172, -78.31054687499999, 44.84029065139799)
landsat_filters = LandsatQueryFilters()
landsat_filters.acquired.set_range(d_start, True, d_end, True)
landsat_filters.aoi.set_bounds(*bounding_box)
metadata_service = MetadataService()
rows = metadata_service.search(SpacecraftID.LANDSAT_8,
data_filters=landsat_filters,
limit=1)
rows = list(rows)
metadata = rows[0]
landsat = Landsat(metadata)
self.assertIsNotNone(landsat)
vrt = landsat.get_vrt([4, 3, 2])
self.assertIsNotNone(vrt)
dataset = landsat.get_dataset([4, 3, 2], DataType.UINT16)
self.assertIsNotNone(dataset)
def test_metadata_extent(self):
r = requests.get("https://raw.githubusercontent.com/johan/world.geo.json/master/countries/USA/NM/Taos.geo.json")
taos_geom = r.json()
print(taos_geom)
taos_shape = shapely.geometry.shape(taos_geom['features'][0]['geometry'])
metadata_service = MetadataService()
# sql_filters = ['scene_id="LC80330342017072LGN00"', 'collection_number="PRE"']
landsat_filters = LandsatQueryFilters()
landsat_filters.scene_id.set_value("LC80330342017072LGN00")
landsat_filters.collection_number.set_value("PRE")
rows = metadata_service.search(
SpacecraftID.LANDSAT_8,
data_filters=landsat_filters)
rows = list(rows)
self.assertEqual(len(rows), 1)
metadata = rows[0]
# GDAL helper functions for generating VRT
landsat = Landsat(metadata)
# get a numpy.ndarray from bands for specified imagery
band_numbers = [Band.RED, Band.GREEN, Band.BLUE]
scale_params = [[0.0, 65535], [0.0, 65535], [0.0, 65535]]
vrt = landsat.get_vrt(band_numbers, envelope_boundary=taos_shape.bounds)
with open('clipped_LC80330342017072LGN00.vrt', 'r') as myfile:
data = myfile.read()
expected = etree.XML(data)
actual = etree.XML(vrt)
result, message = xml_compare(expected, actual, {"GeoTransform": 1e-10, "xOff": 1e-10, "yOff": 1e-10})
self.assertTrue(result, message)
dataset = gdal.Open(vrt)
geo_transform = dataset.GetGeoTransform()
# self.assertEqual(geo_transform, raster_metadata.get_geotransform(taos_shape.bounds))
# self.assertNotEqual(geo_transform, raster_metadata.get_geotransform())
"""
def test_storage_create(self):
metadata_service = MetadataService()
d_start = date(2015, 6, 24)
d_end = date(2016, 6, 24)
bounding_box = (-115.927734375, 34.52466147177172, -78.31054687499999, 44.84029065139799)
landsat_filters = LandsatQueryFilters()
landsat_filters.acquired.set_range(d_start, True, d_end, True)
landsat_filters.aoi.set_bounds(*bounding_box)
rows = metadata_service.search(SpacecraftID.LANDSAT_8,
data_filters=landsat_filters,
limit=1)
rows = list(rows)
metadata = rows[0]
storage = Storage(metadata.bucket_name)
metadata = rows[0]
self.assertTrue(storage.mount_sub_folder(metadata, "generic"))
self.assertTrue(storage.unmount_sub_folder(metadata, "generic"))
def test_bounds(self):
metadata_service = MetadataService()
landsat_filters = LandsatQueryFilters()
landsat_filters.scene_id.set_value("LC80330342017072LGN00")
landsat_filters.collection_number.set_value("PRE")
rows = metadata_service.search(
SpacecraftID.LANDSAT_8,
data_filters=landsat_filters)
rows = list(rows)
self.assertEqual(len(rows), 1)
metadata = rows[0]
bands = [Band.RED, Band.BLUE, Band.GREEN]
band_map = BandMap(SpacecraftID.LANDSAT_8)
raster_metadata = RasterMetadata()
storage = Storage()
storage.mount_sub_folder(metadata)
for band in bands:
band_number = band_map.get_number(band)
raster_metadata.add_metadata(band_number, metadata)
boundary = raster_metadata.bounds
self.assertIsNotNone(boundary)
r = requests.get("https://raw.githubusercontent.com/johan/world.geo.json/master/countries/USA/NM/Taos.geo.json")
taos_geom = r.json()
taos_shape = shapely.geometry.shape(taos_geom['features'][0]['geometry'])
clipped_raster = raster_metadata.calculate_clipped(taos_shape.bounds, pyproj.Proj(init='epsg:4326'))
self.assertIsNotNone(clipped_raster.bounds)
big_box = shapely.geometry.box(*boundary)
small_box = shapely.geometry.box(*clipped_raster.bounds)
self.assertTrue(big_box.contains(small_box))
def test_colorado(self):
r = requests.get(
"https://raw.githubusercontent.com/johan/world.geo.json/master/countries/USA/CO/Boulder.geo.json"
)
boulder_geom = r.json()
boulder_shape = shapely.geometry.shape(
boulder_geom['features'][0]['geometry'])
d_start = date(2017, 3, 1) # 2017-03-12
d_end = date(2017, 3, 19) # epl api is inclusive
# PRE is a collection type that specifies certain QA standards
landsat_filter = LandsatQueryFilters()
landsat_filter.collection_number.set_value("PRE")
landsat_filter.acquired.set_range(d_start, True, d_end, True)
landsat_filter.aoi.set_bounds(*boulder_shape.bounds)
# search the satellite metadata for images of Taos withing the given date range
metadata_service = MetadataService()
rows = metadata_service.search(SpacecraftID.LANDSAT_8,
limit=10,
data_filters=landsat_filter)
self.assertTrue(2, len(list(rows)))
def test_belgium(self):
r = requests.get(
"https://raw.githubusercontent.com/johan/world.geo.json/master/countries/BEL.geo.json"
)
area_geom = r.json()
area_shape = shapely.geometry.shape(
area_geom['features'][0]['geometry'])
d_start = date(2017, 1, 1) # 2017-03-12
d_end = date(2017, 5, 19) # epl api is inclusive
belgium_filter = LandsatQueryFilters()
# PRE is a collection type that specifies certain QA standards
belgium_filter.collection_number.set_value("PRE")
belgium_filter.cloud_cover.set_range(end=15, end_inclusive=False)
belgium_filter.acquired.set_range(start=d_start, end=d_end)
belgium_filter.aoi.set_bounds(*area_shape.bounds)
# search the satellite metadata for images of Belgium withing the given date range
metadata_service = MetadataService()
rows = metadata_service.search(SpacecraftID.LANDSAT_8,
limit=20,
data_filters=belgium_filter)
class TestRasterMetadata(unittest.TestCase):
base_mount_path = '/imagery'
metadata_service = None
def setUp(self):
self.metadata_service = MetadataService()
def test_add_metadata_error(self):
d_start = date(2015, 6, 24)
d_end = date(2016, 6, 24)
bounding_box = (-115.927734375, 34.52466147177172, -78.31054687499999, 44.84029065139799)
landsat_filters = LandsatQueryFilters()
landsat_filters.data_type.set_value("L1T")
landsat_filters.acquired.set_range(d_start, True, d_end, True)
landsat_filters.aoi.set_bounds(*bounding_box)
rows = self.metadata_service.search(SpacecraftID.LANDSAT_8,
limit=2,
data_filters=landsat_filters)
rows = list(rows)
metadata_1 = rows[0]
metadata_2 = rows[1]
bands = [Band.RED, Band.BLUE, Band.GREEN]
band_map = BandMap(SpacecraftID.LANDSAT_8)
raster_metadata = RasterMetadata()
storage = Storage()
storage.mount_sub_folder(metadata_1)
storage.mount_sub_folder(metadata_2)
second = False
for band in bands:
band_number = band_map.get_number(band)
if second:
self.assertRaises(Exception, lambda: raster_metadata.add_metadata(band_number, metadata_2))
raster_metadata.add_metadata(band_number, metadata_1)
second = True
# @unittest.skip("changed how bounds are queried")
def test_bounds(self):
metadata_service = MetadataService()
landsat_filters = LandsatQueryFilters()
landsat_filters.scene_id.set_value("LC80330342017072LGN00")
landsat_filters.collection_number.set_value("PRE")
rows = metadata_service.search(
SpacecraftID.LANDSAT_8,
data_filters=landsat_filters)
rows = list(rows)
self.assertEqual(len(rows), 1)
metadata = rows[0]
bands = [Band.RED, Band.BLUE, Band.GREEN]
band_map = BandMap(SpacecraftID.LANDSAT_8)
raster_metadata = RasterMetadata()
storage = Storage()
storage.mount_sub_folder(metadata)
for band in bands:
band_number = band_map.get_number(band)
raster_metadata.add_metadata(band_number, metadata)
boundary = raster_metadata.bounds
self.assertIsNotNone(boundary)
r = requests.get("https://raw.githubusercontent.com/johan/world.geo.json/master/countries/USA/NM/Taos.geo.json")
taos_geom = r.json()
taos_shape = shapely.geometry.shape(taos_geom['features'][0]['geometry'])
clipped_raster = raster_metadata.calculate_clipped(taos_shape.bounds, pyproj.Proj(init='epsg:4326'))
self.assertIsNotNone(clipped_raster.bounds)
big_box = shapely.geometry.box(*boundary)
small_box = shapely.geometry.box(*clipped_raster.bounds)
self.assertTrue(big_box.contains(small_box))
def test_metadata_extent(self):
r = requests.get("https://raw.githubusercontent.com/johan/world.geo.json/master/countries/USA/NM/Taos.geo.json")
taos_geom = r.json()
print(taos_geom)
taos_shape = shapely.geometry.shape(taos_geom['features'][0]['geometry'])
metadata_service = MetadataService()
# sql_filters = ['scene_id="LC80330342017072LGN00"', 'collection_number="PRE"']
landsat_filters = LandsatQueryFilters()
landsat_filters.scene_id.set_value("LC80330342017072LGN00")
landsat_filters.collection_number.set_value("PRE")
rows = metadata_service.search(
SpacecraftID.LANDSAT_8,
data_filters=landsat_filters)
rows = list(rows)
self.assertEqual(len(rows), 1)
metadata = rows[0]
# GDAL helper functions for generating VRT
landsat = Landsat(metadata)
# get a numpy.ndarray from bands for specified imagery
band_numbers = [Band.RED, Band.GREEN, Band.BLUE]
scale_params = [[0.0, 65535], [0.0, 65535], [0.0, 65535]]
vrt = landsat.get_vrt(band_numbers, envelope_boundary=taos_shape.bounds)
with open('clipped_LC80330342017072LGN00.vrt', 'r') as myfile:
data = myfile.read()
expected = etree.XML(data)
actual = etree.XML(vrt)
result, message = xml_compare(expected, actual, {"GeoTransform": 1e-10, "xOff": 1e-10, "yOff": 1e-10})
self.assertTrue(result, message)
dataset = gdal.Open(vrt)
geo_transform = dataset.GetGeoTransform()
# self.assertEqual(geo_transform, raster_metadata.get_geotransform(taos_shape.bounds))
# self.assertNotEqual(geo_transform, raster_metadata.get_geotransform())
"""
class TestLandsat(unittest.TestCase):
base_mount_path = '/imagery'
metadata_service = None
metadata_set = []
r = requests.get(
"https://raw.githubusercontent.com/johan/world.geo.json/master/countries/USA/NM/Taos.geo.json"
)
taos_geom = r.json()
taos_shape = shapely.geometry.shape(taos_geom['features'][0]['geometry'])
def setUp(self):
d_start = date(2017, 3, 12) # 2017-03-12
d_end = date(2017, 3, 19) # 2017-03-20, epl api is inclusive
self.metadata_service = MetadataService()
landsat_filters = LandsatQueryFilters()
landsat_filters.collection_number.set_value("PRE")
landsat_filters.acquired.set_range(d_start, True, d_end, True)
landsat_filters.aoi.set_bounds(*self.taos_shape.bounds)
metadata_rows = self.metadata_service.search(
SpacecraftID.LANDSAT_8, limit=10, data_filters=landsat_filters)
# mounted directory in docker container
base_mount_path = '/imagery'
for row in metadata_rows:
self.metadata_set.append(row)
# TODO test PRE rejection
# TODO test date range rejection
# TODO test Satellite Rejection
def test_vrt_not_pre(self):
d_start = date(2017, 6, 24)
d_end = date(2017, 9, 24)
bounding_box = (-115.927734375, 34.52466147177172, -78.31054687499999,
44.84029065139799)
# sql_filters = ['collection_number!="PRE"']
landsat_filter = LandsatQueryFilters()
landsat_filter.collection_number.set_exclude_value("PRE")
landsat_filter.acquired.set_range(d_start, True, d_end, True)
landsat_filter.aoi.set_bounds(*bounding_box)
rows = self.metadata_service.search(SpacecraftID.LANDSAT_8,
limit=1,
data_filters=landsat_filter)
rows = list(rows)
metadata = rows[0]
landsat = Landsat(metadata)
self.assertIsNotNone(landsat)
vrt = landsat.get_vrt([4, 3, 2])
self.assertIsNotNone(vrt)
dataset = landsat.get_dataset([4, 3, 2], DataType.UINT16)
self.assertIsNotNone(dataset)
def test_pixel_function_vrt_1(self):
utah_box = (-112.66342163085938, 37.738141282210385,
-111.79824829101562, 38.44821130413263)
d_start = date(2016, 7, 20)
d_end = date(2016, 7, 28)
landsat_filter = LandsatQueryFilters()
landsat_filter.collection_number.set_value("PRE")
landsat_filter.cloud_cover.set_range(
end=5, end_inclusive=True
) #landsat_filter.cloud_cover.set_range_end(5, True)
landsat_filter.acquired.set_range(d_start, True, d_end, True)
landsat_filter.aoi.set_bounds(*utah_box)
rows = self.metadata_service.search(SpacecraftID.LANDSAT_8,
limit=10,
data_filters=landsat_filter)
rows = list(rows)
self.assertEqual(0, len(rows))
d_end = date(2016, 8, 28)
landsat_filter = LandsatQueryFilters()
landsat_filter.collection_number.set_value("PRE")
landsat_filter.cloud_cover.set_range(
end=5, end_inclusive=False
) #landsat_filter.cloud_cover.set_range_end(5, False)
landsat_filter.acquired.set_range(
end=d_end, end_inclusive=True
) #landsat_filter.acquired.set_range_end(d_end, True)
landsat_filter.acquired.sort_by(epl_imagery_pb2.DESCENDING)
landsat_filter.aoi.set_bounds(*utah_box)
rows = self.metadata_service.search(SpacecraftID.LANDSAT_8,
limit=10,
data_filters=landsat_filter)
rows = list(rows)
self.assertEqual(len(rows), 10)
# metadata_row = ['LC80390332016208LGN00', '', 'LANDSAT_8', 'OLI_TIRS', '2016-07-26',
# '2016-07-26T18:14:46.9465460Z', 'PRE', 'N/A', 'L1T', 39, 33, 1.69,
# 39.96962, 37.81744, -115.27267, -112.56732, 1070517542,
# 'gs://gcp-public-data-landsat/LC08/PRE/039/033/LC80390332016208LGN00']
metadata = rows[0]
# GDAL helper functions for generating VRT
landsat = Landsat([metadata])
# get a numpy.ndarray from bands for specified imagery
band_numbers = [4, 3, 2]
scale_params = [[0.0, 65535], [0.0, 65535], [0.0, 65535]]
nda = landsat.fetch_imagery_array(band_numbers, scale_params)
self.assertEqual(nda.shape, (3876, 3806, 3))
def test_band_enum(self):
self.assertTrue(True)
d_start = date(2016, 7, 20)
d_end = date(2016, 7, 28)
landsat_filter = LandsatQueryFilters()
landsat_filter.scene_id.set_value("LC80390332016208LGN00")
landsat_filter.acquired.set_range(d_start, True, d_end, True)
rows = self.metadata_service.search(SpacecraftID.LANDSAT_8,
limit=1,
data_filters=landsat_filter)
rows = list(rows)
metadata = rows[0]
landsat = Landsat(metadata)
scale_params = [[0.0, 65535], [0.0, 65535], [0.0, 65535]]
# nda = landsat.__get_ndarray(band_numbers, metadata, scale_params)
nda = landsat.fetch_imagery_array([Band.RED, Band.GREEN, Band.BLUE],
scale_params,
spatial_resolution_m=240)
self.assertIsNotNone(nda)
nda2 = landsat.fetch_imagery_array([4, 3, 2],
scale_params,
spatial_resolution_m=240)
np.testing.assert_almost_equal(nda, nda2)
# 'scene_id': 'LC80390332016208LGN00'
def test_vrt_extent(self):
# GDAL helper functions for generating VRT
landsat = Landsat(self.metadata_set[0])
# get a numpy.ndarray from bands for specified imagery
band_numbers = [Band.RED, Band.GREEN, Band.BLUE]
scale_params = [[0.0, 65535], [0.0, 65535], [0.0, 65535]]
vrt = landsat.get_vrt(band_numbers,
envelope_boundary=self.taos_shape.bounds)
self.assertIsNotNone(vrt)
def test_cutline(self):
# GDAL helper functions for generating VRT
landsat = Landsat(self.metadata_set[0])
# get a numpy.ndarray from bands for specified imagery
band_numbers = [Band.RED, Band.GREEN, Band.BLUE]
scale_params = [[0.0, 65535], [0.0, 65535], [0.0, 65535]]
nda = landsat.fetch_imagery_array(band_numbers,
scale_params,
self.taos_shape.wkb,
spatial_resolution_m=480)
self.assertIsNotNone(nda)
# TODO needs shape test
def test_mosaic(self):
# GDAL helper functions for generating VRT
landsat = Landsat(self.metadata_set)
# get a numpy.ndarray from bands for specified imagery
band_numbers = [Band.RED, Band.GREEN, Band.BLUE]
scale_params = [[0.0, 65535], [0.0, 65535], [0.0, 65535]]
nda = landsat.fetch_imagery_array(
band_numbers,
scale_params,
envelope_boundary=self.taos_shape.bounds)
self.assertIsNotNone(nda)
self.assertEqual((1804, 1295, 3), nda.shape)
# TODO needs shape test
def test_mosaic_cutline(self):
# GDAL helper functions for generating VRT
landsat = Landsat(self.metadata_set)
# get a numpy.ndarray from bands for specified imagery
# 'nir', 'swir1', 'swir2'
band_numbers = [Band.NIR, Band.SWIR1, Band.SWIR2]
scaleParams = [[0.0, 40000.0], [0.0, 40000.0], [0.0, 40000.0]]
nda = landsat.fetch_imagery_array(
band_numbers,
scaleParams,
polygon_boundary_wkb=self.taos_shape.wkb)
self.assertIsNotNone(nda)
self.assertEqual((1804, 1295, 3), nda.shape)
def test_polygon_wkb_metadata(self):
d_start = date(2017, 3, 12) # 2017-03-12
d_end = date(2017, 3, 19) # 2017-03-20, epl api is inclusive
self.metadata_service = MetadataService()
landsat_filters = LandsatQueryFilters()
landsat_filters.collection_number.set_value("PRE")
landsat_filters.acquired.set_range(d_start, True, d_end, True)
landsat_filters.aoi.set_geometry(self.taos_shape.wkb)
# landsat_filters.geometry_bag.geometry_binaries.append(self.taos_shape.wkb)
metadata_rows = self.metadata_service.search(
SpacecraftID.LANDSAT_8, limit=10, data_filters=landsat_filters)
metadata_set = []
for row in metadata_rows:
metadata_set.append(row)
landsat = Landsat(metadata_set)
band_numbers = [Band.NIR, Band.SWIR1, Band.SWIR2]
scaleParams = [[0.0, 40000.0], [0.0, 40000.0], [0.0, 40000.0]]
nda = landsat.fetch_imagery_array(
band_numbers,
scaleParams,
polygon_boundary_wkb=self.taos_shape.wkb)
self.assertIsNotNone(nda)
self.assertEqual((1804, 1295, 3), nda.shape)
def test_mosaic_mem_error(self):
landsat = Landsat(self.metadata_set)
# get a numpy.ndarray from bands for specified imagery
band_numbers = [Band.RED, Band.GREEN, Band.BLUE]
scaleParams = [[0.0, 40000], [0.0, 40000], [0.0, 40000]]
nda = landsat.fetch_imagery_array(
band_numbers,
scaleParams,
envelope_boundary=self.taos_shape.bounds)
self.assertIsNotNone(nda)
# GDAL helper functions for generating VRT
landsat = Landsat(self.metadata_set)
self.assertEqual((1804, 1295, 3), nda.shape)
# get a numpy.ndarray from bands for specified imagery
# 'nir', 'swir1', 'swir2'
band_numbers = [Band.NIR, Band.SWIR1, Band.SWIR2]
scaleParams = [[0.0, 40000.0], [0.0, 40000.0], [0.0, 40000.0]]
nda = landsat.fetch_imagery_array(
band_numbers,
scaleParams,
polygon_boundary_wkb=self.taos_shape.wkb)
self.assertIsNotNone(nda)
self.assertEqual((1804, 1295, 3), nda.shape)
def test_datatypes(self):
landsat = Landsat(self.metadata_set)
# get a numpy.ndarray from bands for specified imagery
band_numbers = [Band.RED, Band.GREEN, Band.BLUE]
scaleParams = [[0.0, 40000], [0.0, 40000], [0.0, 40000]]
for data_type in DataType:
if data_type is DataType.UNKNOWN_GDAL:
continue
nda = landsat.fetch_imagery_array(
band_numbers,
scaleParams,
envelope_boundary=self.taos_shape.bounds,
output_type=data_type,
spatial_resolution_m=240)
self.assertIsNotNone(nda)
self.assertGreaterEqual(data_type.range_max, nda.max())
self.assertLessEqual(data_type.range_min, nda.min())
def test_vrt_with_alpha(self):
landsat = Landsat(self.metadata_set)
# get a numpy.ndarray from bands for specified imagery
band_numbers = [Band.RED, Band.GREEN, Band.BLUE, Band.ALPHA]
scaleParams = [[0.0, 40000], [0.0, 40000], [0.0, 40000]]
nda = landsat.fetch_imagery_array(
band_numbers,
scaleParams,
envelope_boundary=self.taos_shape.bounds,
output_type=DataType.UINT16,
spatial_resolution_m=120)
self.assertIsNotNone(nda)
def test_rastermetadata_cache(self):
# GDAL helper functions for generating VRT
landsat = Landsat(self.metadata_set)
# get a numpy.ndarray from bands for specified imagery
# 'nir', 'swir1', 'swir2'
band_numbers = [Band.NIR, Band.SWIR1, Band.SWIR2]
scaleParams = [[0.0, 40000.0], [0.0, 40000.0], [0.0, 40000.0]]
nda = landsat.fetch_imagery_array(
band_numbers,
scaleParams,
polygon_boundary_wkb=self.taos_shape.wkb,
spatial_resolution_m=120)
self.assertIsNotNone(nda)
self.assertEqual((902, 648, 3), nda.shape)
band_numbers = [Band.RED, Band.BLUE, Band.GREEN]
nda = landsat.fetch_imagery_array(
band_numbers,
scaleParams,
polygon_boundary_wkb=self.taos_shape.wkb,
spatial_resolution_m=120)
self.assertIsNotNone(nda)
self.assertEqual((902, 648, 3), nda.shape)
band_numbers = [Band.RED, Band.BLUE, Band.GREEN]
nda = landsat.fetch_imagery_array(band_numbers,
scaleParams,
spatial_resolution_m=120)
self.assertIsNotNone(nda)
self.assertNotEqual((902, 648, 3), nda.shape)
def test_two_bands(self):
# specify the bands that approximate real color
landsat = Landsat(self.metadata_set)
band_numbers = [Band.RED, Band.BLUE]
scaleParams = [[0.0, 40000.0], [0.0, 40000.0]]
nda = landsat.fetch_imagery_array(
band_numbers,
scaleParams,
polygon_boundary_wkb=self.taos_shape.wkb,
spatial_resolution_m=120)
self.assertIsNotNone(nda)
self.assertEqual((2, 902, 648), nda.shape)
def test_one_band(self):
# specify the bands that approximate real color
landsat = Landsat(self.metadata_set)
band_numbers = [Band.RED]
scaleParams = [[0.0, 40000.0]]
nda = landsat.fetch_imagery_array(
band_numbers,
scaleParams,
polygon_boundary_wkb=self.taos_shape.wkb,
spatial_resolution_m=120)
self.assertIsNotNone(nda)
self.assertEqual((902, 648), nda.shape)
class TestGCPLandsat(unittest.TestCase):
base_mount_path = '/imagery'
metadata_service = None
metadata_set = []
r = requests.get("https://raw.githubusercontent.com/johan/world.geo.json/master/countries/USA/NM/Taos.geo.json")
taos_geom = r.json()
taos_shape = shapely.geometry.shape(taos_geom['features'][0]['geometry'])
def setUp(self):
d_start = date(2017, 3, 12) # 2017-03-12
d_end = date(2017, 3, 19) # 2017-03-20, epl api is inclusive
self.metadata_service = MetadataService()
landsat_filters = LandsatQueryFilters()
landsat_filters.collection_number.set_value("PRE")
landsat_filters.acquired.set_range(d_start, True, d_end, True)
landsat_filters.aoi.set_bounds(*self.taos_shape.bounds)
rows = self.metadata_service.search(
SpacecraftID.LANDSAT_8,
limit=10,
data_filters=landsat_filters)
rows = list(rows)
# mounted directory in docker container
base_mount_path = '/imagery'
for row in rows:
self.metadata_set.append(row)
def test_gdal_info(self):
d_start = date(2015, 6, 24)
d_end = date(2016, 6, 24)
bounding_box = (-115.927734375, 34.52466147177172, -78.31054687499999, 44.84029065139799)
landsat_filters = LandsatQueryFilters()
landsat_filters.acquired.set_range(d_start, True, d_end, True)
landsat_filters.aoi.set_bounds(*bounding_box)
rows = self.metadata_service.search(SpacecraftID.LANDSAT_8,
data_filters=landsat_filters,
limit=1)
rows = list(rows)
metadata = rows[0]
storage = Storage(metadata.bucket_name)
b_mounted = storage.mount_sub_folder(metadata, "generic")
self.assertTrue(b_mounted)
b_deleted = storage.unmount_sub_folder(metadata, "generic")
self.assertTrue(b_deleted)
def test_landsat5_vrt(self):
# 5th Place: Lake Eyre Landsat 5 Acquired August 5, 2006
wkt = "POLYGON((136.2469482421875 -27.57843813308233,138.6639404296875 -27.57843813308233," \
"138.6639404296875 -29.82351878748485,136.2469482421875 -29.82351878748485,136." \
"2469482421875 -27.57843813308233))"
polygon = loads(wkt)
# sql_filters = ['cloud_cover=0']
d_start = date(2006, 8, 4)
d_end = date(2006, 8, 5)
bounding_box = polygon.bounds
landsat_filters = LandsatQueryFilters()
landsat_filters.wrs_row.set_value(79)
landsat_filters.acquired.set_range(d_start, True, d_end, True)
landsat_filters.aoi.set_bounds(*bounding_box)
rows = self.metadata_service.search(
SpacecraftID.LANDSAT_5,
data_filters=landsat_filters)
rows = list(rows)
self.assertEqual(len(rows), 1)
# data structure that contains all fields from Google's Landsat BigQuery Database
metadata = rows[0]
# GDAL helper functions for generating VRT
landsat = Landsat(metadata)
vrt = landsat.get_vrt([3, 2, 1])
with open('testlandsat5.vrt', 'r') as myfile:
data = myfile.read()
expected = etree.XML(data)
actual = etree.XML(vrt)
result, message = xml_compare(expected, actual, {"GeoTransform": 1e-10})
self.assertTrue(result, message)
def test_australia(self):
# 5th Place: Lake Eyre Landsat 5 Acquired August 5, 2006
wkt = "POLYGON((136.2469482421875 -27.57843813308233,138.6639404296875 -27.57843813308233," \
"138.6639404296875 -29.82351878748485,136.2469482421875 -29.82351878748485,136." \
"2469482421875 -27.57843813308233))"
polygon = loads(wkt)
# sql_filters = ['cloud_cover=0']
d_start = date(2006, 8, 4)
d_end = date(2006, 8, 7)
bounding_box = polygon.bounds
landsat_filters = LandsatQueryFilters()
landsat_filters.wrs_row.set_value(79)
landsat_filters.acquired.set_range(d_start, True, d_end, True)
landsat_filters.aoi.set_bounds(*bounding_box)
rows = self.metadata_service.search(
SpacecraftID.LANDSAT_5,
data_filters=landsat_filters)
rows = list(rows)
self.assertEqual(len(rows), 1)
metadata = rows[0]
landsat = Landsat(metadata)
# get a numpy.ndarray from bands for specified imagery
band_numbers = [3, 2, 1]
scale_params = [[0.0, 65535], [0.0, 65535], [0.0, 65535]]
# nda = landsat.__get_ndarray(band_numbers, metadata, scale_params)
nda = landsat.fetch_imagery_array(band_numbers, scale_params)
self.assertEqual((3581, 4046, 3), nda.shape)
def test_unmount_destructor(self):
wkt = "POLYGON((136.2469482421875 -27.57843813308233,138.6639404296875 -27.57843813308233," \
"138.6639404296875 -29.82351878748485,136.2469482421875 -29.82351878748485,136." \
"2469482421875 -27.57843813308233))"
polygon = loads(wkt)
# sql_filters = ['cloud_cover=0']
d_start = date(2006, 8, 4)
d_end = date(2006, 8, 7)
bounding_box = polygon.bounds
landsat_filters = LandsatQueryFilters()
landsat_filters.wrs_row.set_value(79)
landsat_filters.acquired.set_range(d_start, True, d_end, True)
landsat_filters.aoi.set_bounds(*bounding_box)
rows = self.metadata_service.search(
SpacecraftID.LANDSAT_5,
data_filters=landsat_filters)
rows = list(rows)
metadata = rows[0]
landsat = Landsat(metadata)
vrt = landsat.get_vrt([4])
# storage = Storage("gcp-public-data-landsat")
# del landsat
# self.assertFalse(storage.is_mounted(metadata))
def test_unmount_destructor_conflict(self):
wkt = "POLYGON((136.2469482421875 -27.57843813308233,138.6639404296875 -27.57843813308233," \
"138.6639404296875 -29.82351878748485,136.2469482421875 -29.82351878748485,136." \
"2469482421875 -27.57843813308233))"
polygon = loads(wkt)
# sql_filters = ['cloud_cover=0']
d_start = date(2006, 8, 4)
d_end = date(2006, 8, 7)
bounding_box = polygon.bounds
# sql_filters = ['wrs_row=79']
landsat_filters = LandsatQueryFilters()
landsat_filters.wrs_row.set_value(79)
landsat_filters.acquired.set_range(d_start, True, d_end, True)
landsat_filters.aoi.set_bounds(*bounding_box)
rows = self.metadata_service.search(
SpacecraftID.LANDSAT_5,
data_filters=landsat_filters)
rows = list(rows)
metadata = rows[0]
landsat = Landsat(metadata)
vrt = landsat.get_vrt([4])
storage = Storage("gcp-public-data-landsat")
landsat_2 = Landsat(metadata)
vrt = landsat_2.get_vrt([4])
del landsat
self.assertTrue(storage.is_mounted(metadata))
def test_vrt(self):
d_start = date(2015, 6, 24)
d_end = date(2016, 6, 24)
bounding_box = (-115.927734375, 34.52466147177172, -78.31054687499999, 44.84029065139799)
# sql_filters = ['scene_id="LC80400312016103LGN00"']
landsat_filters = LandsatQueryFilters()
landsat_filters.scene_id.set_value("LC80400312016103LGN00")
landsat_filters.acquired.set_range(d_start, True, d_end, True)
landsat_filters.aoi.set_bounds(*bounding_box)
rows = self.metadata_service.search(SpacecraftID.LANDSAT_8,
limit=1,
data_filters=landsat_filters)
rows = list(rows)
metadata = rows[0]
landsat = Landsat(metadata)
vrt = landsat.get_vrt([4, 3, 2])
with open('test_1.vrt', 'r') as myfile:
data = myfile.read()
expected = etree.XML(data)
actual = etree.XML(vrt)
result, message = xml_compare(expected, actual)
self.assertTrue(result, message)
dataset = gdal.Open(vrt)
self.assertIsNotNone(dataset)
ds_band_1 = dataset.GetRasterBand(1)
self.assertIsNotNone(ds_band_1)
self.assertEqual(ds_band_1.XSize, 7631)
ds_band_2 = dataset.GetRasterBand(2)
self.assertIsNotNone(ds_band_2)
self.assertEqual(ds_band_2.YSize, 7771)
ds_band_3 = dataset.GetRasterBand(3)
self.assertIsNotNone(ds_band_3)
self.assertEqual(ds_band_3.YSize, 7771)