def request1(self):
wcs_true_color_request = WcsRequest(
layer='TRUE_COLOR',
bbox=self._bbox,
# time='2017-12-15',
resx='10m',
resy='10m',
custom_url_params=self.customUrlParam,
config=config)
wcs_true_color_img = wcs_true_color_request.get_data()
print('''Single element in the list is of type = {} and has shape {}
'''.format(type(wcs_true_color_img[-1]),
wcs_true_color_img[-1].shape))
plot_image(wcs_true_color_img[-1])
def setUp(cls):
super().setUpClass()
bbox = BBox((111.7, 8.655, 111.6, 8.688), crs=CRS.WGS84)
cls.request = WcsRequest(data_folder=cls.OUTPUT_FOLDER,
bbox=bbox,
layer='TRUE-COLOR-S2-L1C')
def get_DEM_request(dam_bbox, resx, resy):
return WcsRequest(data_source=DataSource.DEM,
layer='DEM',
resx=f'{resx}m', resy=f'{resy}m',
bbox=dam_bbox,
image_format=MimeType.TIFF_d32f,
custom_url_params={CustomUrlParam.SHOWLOGO: False})
def test_init(self):
bbox = BBox((8.655, 111.7, 8.688, 111.6), crs=CRS.WGS84)
data_request = WcsRequest(data_folder=self.OUTPUT_FOLDER,
bbox=bbox,
layer='BANDS-S2-L1C')
self.assertEqual(self.OUTPUT_FOLDER,
data_request.data_folder,
msg="Expected {}, got {}".format(
self.OUTPUT_FOLDER, data_request.data_folder))
self.assertTrue(isinstance(data_request.get_filename_list(), list),
"Expected a list")
self.assertTrue(isinstance(data_request.get_url_list(), list),
"Expected a list")
self.assertTrue(data_request.is_valid_request(),
"Request should be valid")
def setUpClass(cls):
super().setUpClass()
bbox1 = BBox([-90.9216499, 14.4190528, -90.8186531, 14.5520163],
crs=CRS.WGS84) # From examples
bbox2 = BBox([46.16, -16.15, 46.51, -15.58],
crs=CRS.WGS84) # From sentinelhub-py examples
cls.custom_url_params = {
CustomUrlParam.SHOWLOGO: True,
CustomUrlParam.TRANSPARENT: False,
CustomUrlParam.EVALSCRIPT: 'return [B01]',
CustomUrlParam.ATMFILTER: 'DOS1'
}
cls.wms_request = WmsRequest(layer='S2-DOS1',
bbox=bbox1,
time=('2017-12-01', '2017-12-31'),
width=60,
height=None,
image_format=MimeType.TIFF,
custom_url_params=cls.custom_url_params,
instance_id=cls.CONFIG.instance_id)
cls.wcs_request = WcsRequest(layer='S2-ATMCOR',
bbox=bbox2,
time='2016-07-18T07:14:04',
resx='100m',
resy='100m',
image_format=MimeType.PNG,
data_folder='.')
cls.test_cases = [
TestCaseContainer('WMS',
CloudMaskRequest(cls.wms_request,
threshold=0.6,
average_over=2,
dilation_size=5),
clm_min=0,
clm_max=1,
clm_mean=0.343827,
clm_median=0,
clp_min=0.00011,
clp_max=0.99999,
clp_mean=0.23959,
clp_median=0.01897,
mask_shape=(7, 81, 60)),
TestCaseContainer('WCS, partial no data',
CloudMaskRequest(cls.wcs_request,
all_bands=True),
clm_min=0,
clm_max=1,
clm_mean=0.04468,
clm_median=0,
clp_min=-50.0,
clp_max=0.999635,
clp_mean=-7.5472468,
clp_median=0.011568,
mask_shape=(1, 634, 374))
]
def __init__(self,
bbox,
geometry=False,
end_date='latest',
start_date=None,
layer='NDVI',
maxcc=0.30,
to_nan=True,
last=False,
save_data=False,
eval_script=False,
res='10m'):
self.bbox = bbox
self.save_data = save_data
self.last = last
self.to_nan = to_nan
custom_url_params = {constants.CustomUrlParam.TRANSPARENT: True}
if geometry:
custom_url_params[constants.CustomUrlParam.GEOMETRY] = geometry
if eval_script:
custom_url_params[
constants.CustomUrlParam.EVALSCRIPT] = eval_script
if start_date is not None:
time_tuple = (start_date, end_date)
else:
time_tuple = end_date
try:
WcsRequest.__init__(self,
data_folder='./shub_downloads',
layer=layer,
bbox=bbox,
custom_url_params=custom_url_params,
maxcc=maxcc,
time=time_tuple,
resx=res,
resy=res,
image_format=constants.MimeType.TIFF_d32f,
instance_id=Config.SENTINEL_INSTANCE_ID)
except DownloadFailedException:
logger.error(
'Unable to stablish connection. '
'Please check your internet connection and try again.')
self._run()
def get_S2_request(layer, dam_bbox, date, resx, resy, maxcc):
return WcsRequest(data_folder=None,
layer=layer,
bbox=dam_bbox,
time=date.strftime('%Y-%m-%d') if isinstance(date, datetime) else date,
resx=f'{resx}m', resy=f'{resy}m',
image_format=MimeType.TIFF_d32f,
maxcc=maxcc,
time_difference=timedelta(hours=2),
custom_url_params={CustomUrlParam.SHOWLOGO: False})
def _get_wcs_request(self, bbox, time_interval):
"""
Returns WCS request with given BBOX and time_interval.
"""
return WcsRequest(layer=self.layer,
bbox=bbox,
time=time_interval,
resx=self.size_x, resy=self.size_y,
maxcc=self.maxcc,
image_format=self.image_format,
custom_url_params=self.custom_url_params,
time_difference=self.time_difference,
data_source=self.data_source,
instance_id=self.instance_id)
def _get_wcs_request(self, bbox, time_interval, size_x, size_y, maxcc,
time_difference, custom_url_params):
"""
Returns WCS request.
"""
return WcsRequest(layer=self.data_feature,
bbox=bbox,
time=time_interval,
resx=size_x,
resy=size_y,
maxcc=maxcc,
custom_url_params=custom_url_params,
time_difference=time_difference,
image_format=self.image_format,
data_source=self.data_source,
instance_id=self.instance_id)
def create_wcs_request(self, time, layer):
"""
Create Sentinel Hub WCS (Web Coverage Service) get map request.
Used for getting image in highest resolution - 10 metres per pixel.
:param time: time range in format ('time_from', 'time_to')
:param layer: layer from sentinel-hub configuration
:return: obj WcsRequest
"""
return WcsRequest(
layer=layer,
bbox=self.bounding_box,
time=time,
maxcc=self.config.max_cloud_percentage,
resx="10m",
resy="10m",
custom_url_params=self.custom_url_params,
instance_id=self.instance_id,
)
def test_init(self):
bbox = BBox((8.655, 111.7, 8.688, 111.6), crs=CRS.WGS84)
data_request = WcsRequest(data_folder=self.OUTPUT_FOLDER,
bbox=bbox,
layer='BANDS-S2-L1C')
data_request.create_request(
reset_wfs_iterator=True
) # This method is used by s2cloudless, don't rename it
self.assertEqual(self.OUTPUT_FOLDER,
data_request.data_folder,
msg="Expected {}, got {}".format(
self.OUTPUT_FOLDER, data_request.data_folder))
self.assertTrue(isinstance(data_request.get_filename_list(), list),
"Expected a list")
self.assertTrue(isinstance(data_request.get_url_list(), list),
"Expected a list")
self.assertTrue(data_request.is_valid_request(),
"Request should be valid")
def extract_surface_water_area_per_frame(dam_id, dam_poly, dam_bbox, date,
resx, resy):
"""
Run water detection algorithm for a single timestamp.
"""
measurement = get_new_measurement_entry(dam_id, date,
WaterDetectionSensor.S2_NDWI,
S2_WATER_DETECTOR_VERSION)
# initialise requests
try:
wcs_ndwi_request = WcsRequest(layer='NDWI',
bbox=dam_bbox,
time=date.strftime('%Y-%m-%d'),
maxcc=S2_MAX_CC,
resx=f'{resx}m',
resy=f'{resy}m',
image_format=MimeType.TIFF_d32f,
time_difference=timedelta(hours=2),
custom_url_params={
CustomUrlParam.SHOWLOGO: False,
CustomUrlParam.TRANSPARENT: True
})
cloudresx, cloudresy = get_optimal_cloud_resolution(resx, resy)
wcs_bands_request = WcsRequest(layer='NDWI',
bbox=dam_bbox,
time=date.strftime('%Y-%m-%d'),
maxcc=S2_MAX_CC,
resx=f'{cloudresx}m',
resy=f'{cloudresy}m',
image_format=MimeType.TIFF_d32f,
time_difference=timedelta(hours=2),
custom_url_params={
CustomUrlParam.EVALSCRIPT:
S2_CLOUD_BANDS_SCRIPT_V3
})
except (RuntimeError, DownloadFailedException):
set_measurement_status(measurement,
WaterDetectionStatus.SH_REQUEST_ERROR)
return measurement
# download NDWI
try:
ndwi = np.asarray(wcs_ndwi_request.get_data())
except (DownloadFailedException, ImageDecodingError):
set_measurement_status(measurement,
WaterDetectionStatus.SH_REQUEST_ERROR)
return measurement
if len(ndwi) == 0:
set_measurement_status(measurement, WaterDetectionStatus.SH_NO_DATA)
return measurement
# check that image has no INVALID PIXELS
valid_pxs_frac = np.count_nonzero(ndwi[..., 1]) / np.size(ndwi[..., 1])
if valid_pxs_frac < S2_MIN_VALID_FRACTION:
del ndwi
set_measurement_status(measurement, WaterDetectionStatus.INVALID_DATA)
return measurement
# run cloud detection
try:
all_cloud_masks = CloudMaskRequest(ogc_request=wcs_bands_request,
threshold=0.4)
cloud_mask = all_cloud_masks.get_cloud_masks()
except (DownloadFailedException, ImageDecodingError):
set_measurement_status(measurement,
WaterDetectionStatus.SH_REQUEST_ERROR)
return measurement
if len(ndwi) == 0:
set_measurement_status(measurement,
WaterDetectionStatus.SH_NO_CLOUD_DATA)
return measurement
# check cloud coverage
cloud_cov = np.count_nonzero(cloud_mask) / np.size(cloud_mask)
if cloud_cov > S2_MAX_CLOUD_COVERAGE:
del cloud_mask, all_cloud_masks
set_measurement_status(measurement, WaterDetectionStatus.TOO_CLOUDY)
return measurement
measurement.CLOUD_COVERAGE = cloud_cov
try:
# run water detction algorithm
result = get_water_level_optical(date,
ndwi[0, ..., 0],
dam_poly,
dam_bbox,
simplify=True)
set_measurement_status(measurement,
WaterDetectionStatus.MEASUREMENT_VALID)
measurement.SURF_WATER_LEVEL = result['water_level']
measurement.GEOMETRY = result['geometry'].wkt
measurement.ALG_STATUS = result['alg_status']
del result
except AttributeError:
set_measurement_status(measurement,
WaterDetectionStatus.INVALID_POLYGON)
del ndwi, cloud_mask, all_cloud_masks, wcs_ndwi_request, wcs_bands_request
return measurement
def setUpClass(cls):
super().setUpClass()
wgs84_bbox = BBox(bbox=(-5.23, 48.0, -5.03, 48.17), crs=CRS.WGS84)
wgs84_bbox_2 = BBox(bbox=(21.3, 64.0, 22.0, 64.5), crs=CRS.WGS84)
wgs84_bbox_3 = BBox(bbox=(-72.0, -70.4, -71.8, -70.2), crs=CRS.WGS84)
wgs84_bbox_4 = BBox(bbox=(-72.0, -66.4, -71.8, -66.2), crs=CRS.WGS84)
wgs84_bbox_byoc = BBox(bbox=(13.82387, 45.85221, 13.83313, 45.85901), crs=CRS.WGS84)
pop_web_bbox = BBox(bbox=(1292344.0, 5195920.0, 1310615.0, 5214191.0), crs=CRS.POP_WEB)
geometry_wkt_pop_web = 'POLYGON((1292344.0 5205055.5, 1301479.5 5195920.0, 1310615.0 5205055.5, ' \
'1301479.5 5214191.0, 1292344.0 5205055.5))'
geometry_wkt_wgs84 = 'POLYGON((-5.13 48, -5.23 48.09, -5.13 48.17, -5.03 48.08, -5.13 48))'
img_width = 100
img_height = 100
resx = '53m'
resy = '78m'
expected_date = datetime.datetime.strptime('2017-10-07T11:20:58', '%Y-%m-%dT%H:%M:%S')
cls.test_cases = [
cls.OgcTestCase('generalWmsTest',
OgcRequest(data_folder=cls.OUTPUT_FOLDER, image_format=MimeType.TIFF_d32f, bbox=wgs84_bbox,
layer='BANDS-S2-L1C', maxcc=0.5, size_x=img_width, size_y=img_height,
time=(datetime.date(year=2017, month=1, day=5),
datetime.date(year=2017, month=12, day=16)),
service_type=ServiceType.WMS, time_difference=datetime.timedelta(days=10)),
result_len=14, img_min=0.0, img_max=1.5964, img_mean=0.1810, img_median=0.1140, tile_num=29,
save_data=True, data_filter=[0, -2, 0]),
cls.OgcTestCase('generalWcsTest',
OgcRequest(data_folder=cls.OUTPUT_FOLDER, image_format=MimeType.TIFF_d32f, bbox=wgs84_bbox,
layer='BANDS-S2-L1C', maxcc=0.6, size_x=resx, size_y=resy,
time=(datetime.datetime(year=2017, month=10, day=7, hour=1),
datetime.datetime(year=2017, month=12, day=11)),
service_type=ServiceType.WCS, time_difference=datetime.timedelta(hours=1)),
result_len=4, img_min=0.0002, img_max=0.5266, img_mean=0.1038, img_median=0.0948,
tile_num=6, date_check=expected_date, save_data=True, data_filter=[0, -1]),
# CustomUrlParam tests:
cls.OgcTestCase('customUrlLogoQualitySampling',
WmsRequest(data_folder=cls.OUTPUT_FOLDER, image_format=MimeType.PNG,
layer='TRUE-COLOR-S2-L1C', width=img_width, bbox=wgs84_bbox,
time=('2017-10-01', '2017-10-02'),
custom_url_params={CustomUrlParam.SHOWLOGO: True,
CustomUrlParam.QUALITY: 100,
CustomUrlParam.DOWNSAMPLING: 'BICUBIC',
CustomUrlParam.UPSAMPLING: 'BICUBIC'}),
result_len=1, img_min=29, img_max=255, img_mean=179.833917, img_median=181, tile_num=2,
data_filter=[0, -1]),
cls.OgcTestCase('customUrlPreview',
WmsRequest(data_folder=cls.OUTPUT_FOLDER, image_format=MimeType.PNG,
layer='TRUE-COLOR-S2-L1C', height=img_height, bbox=wgs84_bbox,
time=('2017-10-01', '2017-10-02'),
custom_url_params={CustomUrlParam.PREVIEW: 2}),
result_len=1, img_min=27, img_max=244, img_mean=175.51357, img_median=177, tile_num=2),
cls.OgcTestCase('customUrlEvalscripturl',
WcsRequest(data_folder=cls.OUTPUT_FOLDER, image_format=MimeType.PNG,
layer='TRUE-COLOR-S2-L1C', resx=resx, resy=resy, bbox=pop_web_bbox,
time=('2017-10-01', '2017-10-02'),
custom_url_params={CustomUrlParam.EVALSCRIPTURL:
'https://raw.githubusercontent.com/sentinel-hub/'
'customScripts/master/sentinel-2/false_color_infrared/'
'script.js'}),
result_len=1, img_min=46, img_max=255, img_mean=231.051154, img_median=255, tile_num=3),
cls.OgcTestCase('customUrlEvalscript,Transparent,Geometry',
WcsRequest(data_folder=cls.OUTPUT_FOLDER, image_format=MimeType.PNG,
layer='TRUE-COLOR-S2-L1C', resx=resx, resy=resy, bbox=wgs84_bbox,
time=('2017-10-01', '2017-10-02'),
custom_url_params={CustomUrlParam.TRANSPARENT: True,
CustomUrlParam.EVALSCRIPT: 'return [B10,B8A, B03 ]',
CustomUrlParam.GEOMETRY: geometry_wkt_wgs84}),
result_len=1, img_min=0, img_max=255, img_mean=50.726361, img_median=1.0, tile_num=2),
cls.OgcTestCase('FalseLogo,BgColor,Geometry',
WmsRequest(data_folder=cls.OUTPUT_FOLDER, image_format=MimeType.PNG,
layer='TRUE-COLOR-S2-L1C', width=img_width, height=img_height, bbox=pop_web_bbox,
time=('2017-10-01', '2017-10-02'),
custom_url_params={CustomUrlParam.SHOWLOGO: False,
CustomUrlParam.BGCOLOR: "F4F86A",
CustomUrlParam.GEOMETRY: geometry_wkt_pop_web}),
result_len=1, img_min=64, img_max=MimeType.PNG.get_expected_max_value(), img_mean=213.6124,
img_median=242.0, tile_num=3),
# DataSource tests:
cls.OgcTestCase('S2 L1C Test',
WmsRequest(data_source=DataSource.SENTINEL2_L1C, data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d8, layer='BANDS-S2-L1C',
width=img_width, height=img_height, bbox=wgs84_bbox,
time=('2017-10-01', '2017-10-02')),
result_len=1, img_min=0, img_max=160, img_mean=60.50514, img_median=63.0,
tile_num=2),
cls.OgcTestCase('S2 L2A Test',
WmsRequest(data_source=DataSource.SENTINEL2_L2A, data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF, layer='BANDS-S2-L2A',
width=img_width, height=img_height, bbox=wgs84_bbox,
time=('2017-10-01', '2017-10-02')),
result_len=1, img_min=0.0, img_max=MimeType.TIFF.get_expected_max_value(),
img_mean=22744.01498, img_median=21391.0, tile_num=2),
cls.OgcTestCase('L8 Test',
WmsRequest(data_source=DataSource.LANDSAT8, data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d32f, layer='BANDS-L8',
width=img_width, height=img_height, bbox=wgs84_bbox,
time=('2017-10-05', '2017-10-10'), time_difference=datetime.timedelta(hours=1)),
result_len=1, img_min=0.0012, img_max=285.78003, img_mean=52.06088, img_median=0.5192,
tile_num=2),
cls.OgcTestCase('DEM Test',
WmsRequest(data_source=DataSource.DEM, data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d32f, layer='DEM',
width=img_width, height=img_height, bbox=wgs84_bbox),
result_len=1, img_min=-108.0, img_max=-18.0, img_mean=-72.2097, img_median=-72.0),
cls.OgcTestCase('MODIS Test',
WmsRequest(data_source=DataSource.MODIS, data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d32f, layer='BANDS-MODIS',
width=img_width, height=img_height, bbox=wgs84_bbox, time='2017-10-01'),
result_len=1, img_min=0.0, img_max=3.2767, img_mean=0.136548, img_median=0.00240,
tile_num=1),
cls.OgcTestCase('S1 IW Test',
WmsRequest(data_source=DataSource.SENTINEL1_IW, data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d32f, layer='BANDS-S1-IW',
width=img_width, height=img_height, bbox=wgs84_bbox,
time=('2017-10-01', '2017-10-02'),
time_difference=datetime.timedelta(hours=1)),
result_len=1, img_min=0.00150, img_max=MimeType.TIFF_d32f.get_expected_max_value(),
img_mean=0.1135815, img_median=0.06210, tile_num=2),
cls.OgcTestCase('S1 EW Test',
WmsRequest(data_source=DataSource.SENTINEL1_EW, data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d32f, layer='BANDS-S1-EW',
width=img_width, height=img_height, bbox=wgs84_bbox_2,
time=('2018-2-7', '2018-2-8'),
time_difference=datetime.timedelta(hours=1)),
result_len=2, img_min=0.0003, img_max=1.0, img_mean=0.53118, img_median=1.0, tile_num=3),
cls.OgcTestCase('S1 EW SH Test',
WmsRequest(data_source=DataSource.SENTINEL1_EW_SH,
data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d16, layer='BANDS-S1-EW-SH',
width=img_width, height=img_height, bbox=wgs84_bbox_3,
time=('2018-2-6', '2018-2-8'),
time_difference=datetime.timedelta(hours=1)),
result_len=1, img_min=472, img_max=3538, img_mean=926.8818, img_median=894.0,
tile_num=1),
cls.OgcTestCase('S1 IW ASC Test',
WmsRequest(data_source=DataSource.SENTINEL1_IW_ASC, data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d32f, layer='BANDS-S1-IW',
width=img_width, height=img_height, bbox=wgs84_bbox,
time=('2017-10-01', '2017-10-03'),
time_difference=datetime.timedelta(hours=1)),
result_len=1, img_min=0.00150, img_max=MimeType.TIFF_d32f.get_expected_max_value(),
img_mean=0.1135815, img_median=0.0621000, tile_num=2),
cls.OgcTestCase('S1 EW ASC Test',
WmsRequest(data_source=DataSource.SENTINEL1_EW_ASC, data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d32f, layer='BANDS-S1-EW',
width=img_width, height=img_height, bbox=wgs84_bbox_2,
time=('2018-2-7', '2018-2-8'),
time_difference=datetime.timedelta(hours=1)),
result_len=1, img_min=0.0003, img_max=0.2322, img_mean=0.02199, img_median=0.0102,
tile_num=2),
cls.OgcTestCase('S1 EW SH ASC Test',
WmsRequest(data_source=DataSource.SENTINEL1_EW_SH_ASC,
data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d16, layer='BANDS-S1-EW-SH',
width=img_width, height=img_height, bbox=wgs84_bbox_3,
time=('2018-2-6', '2018-2-8'),
time_difference=datetime.timedelta(hours=1)),
result_len=1, img_min=472, img_max=3538, img_mean=926.8818, img_median=894.0,
tile_num=1),
cls.OgcTestCase('S1 IW DES Test',
WmsRequest(data_source=DataSource.SENTINEL1_IW_DES, data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d32f, layer='BANDS-S1-IW',
width=img_width, height=img_height, bbox=wgs84_bbox,
time=('2017-10-01', '2017-10-05'),
time_difference=datetime.timedelta(hours=1)),
result_len=1, img_min=0.0, img_max=0.07700,
img_mean=0.0210801, img_median=0.0132, tile_num=1),
cls.OgcTestCase('S1 EW DES Test',
WmsRequest(data_source=DataSource.SENTINEL1_EW_DES, data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d32f, layer='BANDS-S1-EW',
width=img_width, height=img_height, bbox=wgs84_bbox_2,
time=('2018-2-7', '2018-2-8'),
time_difference=datetime.timedelta(hours=1)),
result_len=1, img_min=0.0003, img_max=1.0, img_mean=0.53118, img_median=1.0, tile_num=1),
cls.OgcTestCase('S1 EW SH DES Test',
WmsRequest(data_source=DataSource.SENTINEL1_EW_SH_DES,
data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d16, layer='BANDS-S1-EW-SH',
width=img_width, height=img_height, bbox=wgs84_bbox_4,
time=('2018-2-5', '2018-2-6'),
time_difference=datetime.timedelta(hours=1)),
result_len=1, img_min=3975, img_max=37973, img_mean=15061.2035, img_median=14769.0,
tile_num=1),
# cls.OgcTestCase('BYOC Test',
# WmsRequest(data_source=DataSource('31df1de4-8bd4-43e0-8c3f-b04262d111b6'),
# data_folder=cls.OUTPUT_FOLDER,
# image_format=MimeType.TIFF_d16, layer='DEMO_BYOC_LAYER',
# width=img_width, height=img_height, bbox=wgs84_bbox_byoc,
# custom_url_params={CustomUrlParam.SHOWLOGO: False}),
# result_len=1, img_min=0, img_max=65535, img_mean=17158.8938, img_median=15728.0,
# tile_num=1)
]
"""
# Test case for eocloud data source
cls.test_cases.extend([
cls.OgcTestCase('EOCloud S1 IW Test',
WmsRequest(data_source=DataSource.SENTINEL1_IW, data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d32f, layer='BANDS_S1_IW',
width=img_width, height=img_height, bbox=wgs84_bbox,
time=('2017-10-01', '2017-10-02'),
time_difference=datetime.timedelta(hours=1)),
result_len=1, img_min=0.0, img_max=0.49706, img_mean=0.04082, img_median=0.00607,
tile_num=2),
])
"""
for test_case in cls.test_cases:
test_case.collect_data()
d = dates[i]
if (last_date is not None):
if ((last_date - d).total_seconds() < 3600):
continue
last_date = d
add_data = additional_data[i]
filepath = join(
to_images_path,
d.strftime("%Y%m%d_%H%M%S") + '_' + '_'.join(add_data) + '.tif')
if (isfile(filepath)):
continue
print(d)
s1_request = WcsRequest(
data_source=DataSource.SENTINEL1_IW,
layer='BOTH',
bbox=search_bbox,
time=d,
resx=args.resolution,
resy=args.resolution,
image_format=constants.MimeType.TIFF_d32f, #_d32f
instance_id=INSTANCE_ID)
s1_data = s1_request.get_data()
tifffile.imsave(filepath,
np.dstack((s1_data[-1],
np.zeros((s1_data[-1].shape[0],
s1_data[-1].shape[1])))),
compress=7)
#sys.exit()
for p in range(0, len(intervals)):
t = intervals[p]
save_dir = path_dir + '\\' + site_name + '\\' + t
if os.path.isdir(save_dir) == False:
os.mkdir(save_dir)
if t == 'pre-fire':
t_start = pre_start
t_end = pre_end
else:
t_start = post_start
t_end = post_end
wms_pre = WcsRequest(data_folder=save_dir,
layer='VSPI',
bbox=bbox_1,
time=(t_start, t_end),
resx='60m',
resy='60m',
image_format=MimeType.TIFF,
maxcc=cloud_cover,
instance_id=i_id)
print('Downloading ' + t + ' data.....')
wms_pre.save_data()
#save BA bands
for p in range(0, len(intervals)):
t = intervals[p]
ba_save_dir = path_dir + '\\' + site_name + '\\ba\\'
if os.path.isdir(ba_save_dir) == False:
os.mkdir(ba_save_dir)
if os.path.isdir(ba_save_dir + t) == False:
data_folder='.')
wms_true_color_request = WmsRequest(
data_collection=DataCollection.SENTINEL2_L1C,
layer='NDVI',
bbox=the_dam_bbox,
time='2019-06-20',
width=512,
height=856,
maxcc=0.5,
image_format=MimeType.TIFF_d32f,
config=config,
data_folder='.')
wcs_ndwi_request = WcsRequest(
data_collection=DataCollection.SENTINEL2_L1C,
layer='NDWI',
bbox=the_dam_bbox,
time='latest',
maxcc=0.5,
resx='20m',
resy='20m',
image_format=MimeType.TIFF_d32f,
# time_difference=timedelta(hours=2),
# custom_url_params={CustomUrlParam.SHOWLOGO: False,
# CustomUrlParam.TRANSPARENT: True},
config=config,
data_folder='.')
wms_true_color_img = wcs_ndwi_request.get_data(save_data=True)
wms_true_color_img = wms_true_color_request.get_data(save_data=True)
channel_df['mean'] - channel_df['stDev'],
channel_df['mean'] + channel_df['stDev'],
alpha=0.2,
color=color)
plt.legend(loc='upper right')
"""
As there is no vegetation in the desert the reflectance values shouldn't change much over time.
...(read details in tutorial doc)...
We can conclude the 5th,9th,14th acquisition contains clouds while 10th acquisition contains the sandstorm.
Let's download the true color images for these acquisitions and visually verify the results.
"""
wcs_request = WcsRequest(data_collection=DataCollection.SENTINEL2_L1C,
layer='TRUE-COLOR-S2-L1C',
bbox=sahara_bbox,
time=time_interval,
resx='60m',
resy='60m',
custom_url_params={CustomUrlParam.SHOWLOGO: False},
config=config)
images = wcs_request.get_data()
fig, axs = plt.subplots((len(images) + 2) // 3, 3, figsize=(8, 16))
for idx, (image, time) in enumerate(zip(images, wcs_request.get_dates())):
axs.flat[idx].imshow(image)
axs.flat[idx].set_title(time.date().isoformat())
fig.tight_layout()
"""
Comparing Histograms: FIS can also provide histograms of calues split into a specified number of binds which will allows
us to analyse the distribution of values without having to download entire images.
def setUpClass(cls):
wgs84_bbox = BBox(bbox=(-5.23, 48.0, -5.03, 48.17), crs=CRS.WGS84)
wgs84_bbox_2 = BBox(bbox=(21.3, 64.0, 22.0, 64.5), crs=CRS.WGS84)
wgs84_bbox_3 = BBox(bbox=(-72.0, -70.4, -71.8, -70.2), crs=CRS.WGS84)
pop_web_bbox = BBox(bbox=(1292344.0, 5195920.0, 1310615.0, 5214191.0),
crs=CRS.POP_WEB)
geometry_wkt_pop_web = 'POLYGON((1292344.0 5205055.5, 1301479.5 5195920.0, 1310615.0 5205055.5, ' \
'1301479.5 5214191.0, 1292344.0 5205055.5))'
geometry_wkt_wgs84 = 'POLYGON((-5.13 48, -5.23 48.09, -5.13 48.17, -5.03 48.08, -5.13 48))'
img_width = 100
img_height = 100
resx = '53m'
resy = '78m'
expected_date = datetime.datetime.strptime('2017-10-07T11:20:58',
'%Y-%m-%dT%H:%M:%S')
cls.test_cases = [
cls.OgcTestCase('generalWmsTest',
OgcRequest(
data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d32f,
bbox=wgs84_bbox,
layer='BANDS-S2-L1C',
maxcc=0.5,
size_x=img_width,
size_y=img_height,
time=(datetime.date(year=2017, month=1, day=5),
datetime.date(year=2017,
month=12,
day=16)),
service_type=ServiceType.WMS,
time_difference=datetime.timedelta(days=10)),
result_len=14,
img_min=0.0,
img_max=1.5964,
img_mean=0.1810,
img_median=0.1140,
tile_num=29,
save_data=True,
data_filter=[0, -2, 0]),
cls.OgcTestCase('generalWcsTest',
OgcRequest(
data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d32f,
bbox=wgs84_bbox,
layer='BANDS-S2-L1C',
maxcc=0.6,
size_x=resx,
size_y=resy,
time=(datetime.datetime(year=2017,
month=10,
day=7,
hour=1),
datetime.datetime(year=2017,
month=12,
day=11)),
service_type=ServiceType.WCS,
time_difference=datetime.timedelta(hours=1)),
result_len=4,
img_min=0.0002,
img_max=0.5266,
img_mean=0.1038,
img_median=0.0948,
tile_num=6,
date_check=expected_date,
save_data=True,
data_filter=[0, -1]),
# CustomUrlParam tests:
cls.OgcTestCase('customUrlAtmcorQualitySampling',
WmsRequest(data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.PNG,
layer='TRUE-COLOR-S2-L1C',
width=img_width,
bbox=wgs84_bbox,
time=('2017-10-01', '2017-10-02'),
custom_url_params={
CustomUrlParam.SHOWLOGO: True,
CustomUrlParam.ATMFILTER: 'ATMCOR',
CustomUrlParam.QUALITY: 100,
CustomUrlParam.DOWNSAMPLING:
'BICUBIC',
CustomUrlParam.UPSAMPLING: 'BICUBIC'
}),
result_len=1,
img_min=11,
img_max=255,
img_mean=193.796,
img_median=206,
tile_num=2,
data_filter=[0, -1]),
cls.OgcTestCase('customUrlPreview',
WmsRequest(data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.PNG,
layer='TRUE-COLOR-S2-L1C',
height=img_height,
bbox=wgs84_bbox,
time=('2017-10-01', '2017-10-02'),
custom_url_params={
CustomUrlParam.SHOWLOGO: True,
CustomUrlParam.PREVIEW: 2
}),
result_len=1,
img_min=27,
img_max=253,
img_mean=176.732,
img_median=177,
tile_num=2),
cls.OgcTestCase(
'customUrlEvalscripturl',
WcsRequest(
data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.PNG,
layer='TRUE-COLOR-S2-L1C',
resx=resx,
resy=resy,
bbox=pop_web_bbox,
time=('2017-10-01', '2017-10-02'),
custom_url_params={
CustomUrlParam.SHOWLOGO:
True,
CustomUrlParam.EVALSCRIPTURL:
'https://raw.githubusercontent.com/sentinel-hub/'
'customScripts/master/sentinel-2/false_color_infrared/'
'script.js'
}),
result_len=1,
img_min=41,
img_max=255,
img_mean=230.568,
img_median=255,
tile_num=3),
cls.OgcTestCase('customUrlEvalscript,Transparent,Geometry',
WcsRequest(data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.PNG,
layer='TRUE-COLOR-S2-L1C',
resx=resx,
resy=resy,
bbox=wgs84_bbox,
time=('2017-10-01', '2017-10-02'),
custom_url_params={
CustomUrlParam.SHOWLOGO:
True,
CustomUrlParam.TRANSPARENT:
True,
CustomUrlParam.EVALSCRIPT:
'return [B10,B8A, B03 ]',
CustomUrlParam.GEOMETRY:
geometry_wkt_wgs84
}),
result_len=1,
img_min=0,
img_max=255,
img_mean=53.71428,
img_median=1.0,
tile_num=2),
cls.OgcTestCase('FalseLogo,BgColor,Geometry',
WmsRequest(data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.PNG,
layer='TRUE-COLOR-S2-L1C',
width=img_width,
height=img_height,
bbox=pop_web_bbox,
time=('2017-10-01', '2017-10-02'),
custom_url_params={
CustomUrlParam.SHOWLOGO:
False,
CustomUrlParam.BGCOLOR:
"F4F86A",
CustomUrlParam.GEOMETRY:
geometry_wkt_pop_web
}),
result_len=1,
img_min=63,
img_max=255,
img_mean=213.3590,
img_median=242.0,
tile_num=3),
# DataSource tests:
cls.OgcTestCase('S2 L1C Test',
WmsRequest(data_source=DataSource.SENTINEL2_L1C,
data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d8,
layer='BANDS-S2-L1C',
width=img_width,
height=img_height,
bbox=wgs84_bbox,
time=('2017-10-01', '2017-10-02')),
result_len=1,
img_min=0,
img_max=160,
img_mean=59.9996,
img_median=63.0,
tile_num=2),
cls.OgcTestCase('S2 L2A Test',
WmsRequest(data_source=DataSource.SENTINEL2_L2A,
data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF,
layer='BANDS-S2-L2A',
width=img_width,
height=img_height,
bbox=wgs84_bbox,
time=('2017-10-01', '2017-10-02')),
result_len=1,
img_min=0.0,
img_max=65535,
img_mean=22743.5164,
img_median=21390.0,
tile_num=2),
cls.OgcTestCase('L8 Test',
WmsRequest(
data_source=DataSource.LANDSAT8,
data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d32f,
layer='BANDS-L8',
width=img_width,
height=img_height,
bbox=wgs84_bbox,
time=('2017-10-05', '2017-10-10'),
time_difference=datetime.timedelta(hours=1)),
result_len=1,
img_min=0.0011,
img_max=285.72415,
img_mean=52.06075,
img_median=0.5192,
tile_num=2),
cls.OgcTestCase('DEM Test',
WmsRequest(data_source=DataSource.DEM,
data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d32f,
layer='DEM',
width=img_width,
height=img_height,
bbox=wgs84_bbox),
result_len=1,
img_min=-108.0,
img_max=-18.0,
img_mean=-72.1819,
img_median=-72.0),
cls.OgcTestCase('MODIS Test',
WmsRequest(data_source=DataSource.MODIS,
data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d32f,
layer='BANDS-MODIS',
width=img_width,
height=img_height,
bbox=wgs84_bbox,
time='2017-10-01'),
result_len=1,
img_min=0.0,
img_max=3.2767,
img_mean=0.136408,
img_median=0.00240,
tile_num=1),
cls.OgcTestCase('S1 IW Test',
WmsRequest(
data_source=DataSource.SENTINEL1_IW,
data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d32f,
layer='BANDS-S1-IW',
width=img_width,
height=img_height,
bbox=wgs84_bbox,
time=('2017-10-01', '2017-10-02'),
time_difference=datetime.timedelta(hours=1)),
result_len=1,
img_min=0.0,
img_max=1.0,
img_mean=0.104584,
img_median=0.06160,
tile_num=2),
cls.OgcTestCase('S1 EW Test',
WmsRequest(
data_source=DataSource.SENTINEL1_EW,
data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d32f,
layer='BANDS-S1-EW',
width=img_width,
height=img_height,
bbox=wgs84_bbox_2,
time=('2018-2-7', '2018-2-8'),
time_difference=datetime.timedelta(hours=1)),
result_len=2,
img_min=0.0003,
img_max=1.0,
img_mean=0.53118,
img_median=1.0,
tile_num=3),
cls.OgcTestCase(
'S1 EW SH Test',
WmsRequest(data_source=DataSource.SENTINEL1_EW_SH,
data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d16,
layer='BANDS-S1-EW-SH',
width=img_width,
height=img_height,
bbox=wgs84_bbox_3,
custom_url_params={CustomUrlParam.SHOWLOGO: True},
time=('2018-2-6', '2018-2-8'),
time_difference=datetime.timedelta(hours=1)),
result_len=1,
img_min=465,
img_max=59287,
img_mean=5323.0523,
img_median=943.0,
tile_num=1)
]
"""
# Test case for eocloud data source
cls.test_cases.extend([
cls.OgcTestCase('EOCloud S1 IW Test',
WmsRequest(data_source=DataSource.SENTINEL1_IW, data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF_d32f, layer='BANDS_S1_IW',
width=img_width, height=img_height, bbox=wgs84_bbox,
time=('2017-10-01', '2017-10-02'),
time_difference=datetime.timedelta(hours=1)),
result_len=1, img_min=0.0, img_max=0.49706, img_mean=0.04082, img_median=0.00607,
tile_num=2),
])
"""
for test_case in cls.test_cases:
test_case.collect_data()
def setUpClass(cls):
super().setUpClass()
wgs84_bbox = BBox(bbox=(-5.23, 48.0, -5.03, 48.17), crs=CRS.WGS84)
wgs84_bbox_2 = BBox(bbox=(21.3, 64.0, 22.0, 64.5), crs=CRS.WGS84)
wgs84_bbox_3 = BBox(bbox=(-72.0, -70.4, -71.8, -70.2), crs=CRS.WGS84)
wgs84_bbox_4 = BBox(bbox=(-72.0, -66.4, -71.8, -66.2), crs=CRS.WGS84)
pop_web_bbox = BBox(bbox=(1292344.0, 5195920.0, 1310615.0, 5214191.0), crs=CRS.POP_WEB)
geometry_wkt_pop_web = 'POLYGON((1292344.0 5205055.5, 1301479.5 5195920.0, 1310615.0 5205055.5, ' \
'1301479.5 5214191.0, 1292344.0 5205055.5))'
geometry_wkt_wgs84 = 'POLYGON((-5.13 48, -5.23 48.09, -5.13 48.17, -5.03 48.08, -5.13 48))'
img_width = 100
img_height = 100
resx = '53m'
resy = '78m'
expected_date = datetime.datetime.strptime('2017-10-07T11:20:58', '%Y-%m-%dT%H:%M:%S')
cls.test_cases = [
cls.OgcTestCase('generalWmsTest',
OgcRequest(data_folder=cls.OUTPUT_FOLDER, image_format=MimeType.TIFF, bbox=wgs84_bbox,
data_collection=DataCollection.SENTINEL2_L1C,
layer='BANDS-S2-L1C', maxcc=0.5, size_x=img_width, size_y=img_height,
time=(datetime.date(year=2017, month=1, day=5),
datetime.date(year=2017, month=12, day=16)),
service_type=ServiceType.WMS, time_difference=datetime.timedelta(days=10)),
result_len=14, img_min=0.0, img_max=1.5964, img_mean=0.2395, img_median=0.1349, tile_num=29,
save_data=True, data_filter=[0, -2, 0]),
cls.OgcTestCase('generalWcsTest',
OgcRequest(data_folder=cls.OUTPUT_FOLDER, image_format=MimeType.TIFF, bbox=wgs84_bbox,
data_collection=DataCollection.SENTINEL2_L1C,
layer='BANDS-S2-L1C', maxcc=0.6, size_x=resx, size_y=resy,
time=(datetime.datetime(year=2017, month=10, day=7, hour=1),
datetime.datetime(year=2017, month=12, day=11)),
service_type=ServiceType.WCS, time_difference=datetime.timedelta(hours=1)),
result_len=4, img_min=0.0002, img_max=1.0, img_mean=0.16779, img_median=0.1023,
tile_num=6, date_check=expected_date, save_data=True, data_filter=[0, -1]),
# CustomUrlParam tests:
cls.OgcTestCase('customUrlLogoQualitySampling',
WmsRequest(data_folder=cls.OUTPUT_FOLDER, image_format=MimeType.PNG,
data_collection=DataCollection.SENTINEL2_L1C,
layer='TRUE-COLOR-S2-L1C', width=img_width, bbox=wgs84_bbox,
time=('2017-10-01', '2017-10-02'),
custom_url_params={CustomUrlParam.SHOWLOGO: True,
CustomUrlParam.QUALITY: 100,
CustomUrlParam.DOWNSAMPLING: 'BICUBIC',
CustomUrlParam.UPSAMPLING: 'BICUBIC'}),
result_len=1, img_min=29, img_max=255, img_mean=198.6254375, img_median=206, tile_num=2,
data_filter=[0, -1]),
cls.OgcTestCase('customUrlPreview',
WmsRequest(data_folder=cls.OUTPUT_FOLDER, image_format=MimeType.PNG,
data_collection=DataCollection.SENTINEL2_L1C,
layer='TRUE-COLOR-S2-L1C', height=img_height, bbox=wgs84_bbox,
time=('2017-10-01', '2017-10-02'),
custom_url_params={CustomUrlParam.PREVIEW: 2}),
result_len=1, img_min=27, img_max=255, img_mean=195.385181, img_median=199, tile_num=2),
cls.OgcTestCase('customUrlEvalscripturl',
WcsRequest(data_folder=cls.OUTPUT_FOLDER, image_format=MimeType.PNG,
data_collection=DataCollection.SENTINEL2_L1C,
layer='TRUE-COLOR-S2-L1C', resx=resx, resy=resy, bbox=pop_web_bbox,
time=('2017-10-01', '2017-10-02'),
custom_url_params={CustomUrlParam.EVALSCRIPTURL:
'https://raw.githubusercontent.com/sentinel-hub/'
'customScripts/master/sentinel-2/false_color_infrared/'
'script.js'}),
result_len=1, img_min=46, img_max=255, img_mean=231.051154, img_median=255, tile_num=3),
cls.OgcTestCase('customUrlEvalscript,Geometry',
WcsRequest(data_folder=cls.OUTPUT_FOLDER, image_format=MimeType.PNG,
data_collection=DataCollection.SENTINEL2_L1C,
layer='TRUE-COLOR-S2-L1C', resx=resx, resy=resy, bbox=wgs84_bbox,
time=('2017-10-01', '2017-10-02'),
custom_url_params={CustomUrlParam.EVALSCRIPT: 'return [B10, B8A, B03]',
CustomUrlParam.GEOMETRY: geometry_wkt_wgs84}),
result_len=1, img_min=0, img_max=152, img_mean=24.5405, img_median=1.0, tile_num=2),
cls.OgcTestCase('FalseLogo,Geometry',
WmsRequest(data_folder=cls.OUTPUT_FOLDER, image_format=MimeType.PNG,
data_collection=DataCollection.SENTINEL2_L1C,
layer='TRUE-COLOR-S2-L1C', width=img_width, height=img_height, bbox=pop_web_bbox,
time=('2017-10-01', '2017-10-02'),
custom_url_params={CustomUrlParam.SHOWLOGO: False,
CustomUrlParam.GEOMETRY: geometry_wkt_pop_web}),
result_len=1, img_min=0, img_max=MimeType.PNG.get_expected_max_value(), img_mean=119.4666,
img_median=123, tile_num=3),
# DataCollection tests:
cls.OgcTestCase('S2 L1C Test',
WmsRequest(data_collection=DataCollection.SENTINEL2_L1C, data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF, layer='BANDS-S2-L1C',
width=img_width, height=img_height, bbox=wgs84_bbox,
time=('2017-10-01', '2017-10-02')),
result_len=1, img_min=0.0009, img_max=1.0, img_mean=0.2917, img_median=0.2572,
tile_num=2),
cls.OgcTestCase('S2 L2A Test',
WmsRequest(data_collection=DataCollection.SENTINEL2_L2A, data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF, layer='BANDS-S2-L2A',
width=img_width, height=img_height, bbox=wgs84_bbox,
time=('2017-10-01', '2017-10-02')),
result_len=1, img_min=0.0, img_max=1.6720, img_mean=0.39766, img_median=0.3393, tile_num=2),
cls.OgcTestCase('L8 Test',
WmsRequest(data_collection=DataCollection.LANDSAT8, data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF, layer='BANDS-L8',
width=img_width, height=img_height, bbox=wgs84_bbox,
time=('2017-10-05', '2017-10-10'), time_difference=datetime.timedelta(hours=1)),
result_len=1, img_min=0.0011, img_max=285.72681, img_mean=47.80554, img_median=0.53305,
tile_num=2),
cls.OgcTestCase('DEM Test',
WmsRequest(data_collection=DataCollection.DEM, data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF, layer='DEM',
width=img_width, height=img_height, bbox=wgs84_bbox),
result_len=1, img_min=-108.0, img_max=1, img_mean=-35.6049, img_median=-8.5),
cls.OgcTestCase('MODIS Test',
WmsRequest(data_collection=DataCollection.MODIS, data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF, layer='BANDS-MODIS',
width=img_width, height=img_height, bbox=wgs84_bbox, time='2017-10-01'),
result_len=1, img_min=0.0, img_max=3.2767, img_mean=0.2445, img_median=0.0030, tile_num=1),
cls.OgcTestCase('S1 IW Test',
WmsRequest(data_collection=DataCollection.SENTINEL1_IW, data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF, layer='BANDS-S1-IW',
width=img_width, height=img_height, bbox=wgs84_bbox,
time=('2017-10-01', '2017-10-02'),
time_difference=datetime.timedelta(hours=1)),
result_len=1, img_min=0.0, img_max=1.0, img_mean=0.3508, img_median=0.07607, tile_num=2),
cls.OgcTestCase('S1 EW Test',
WmsRequest(data_collection=DataCollection.SENTINEL1_EW, data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF, layer='BANDS-S1-EW',
width=img_width, height=img_height, bbox=wgs84_bbox_2,
time=('2018-2-7', '2018-2-8'),
time_difference=datetime.timedelta(hours=1)),
result_len=2, img_min=0.0, img_max=1.0, img_mean=0.24709, img_median=0.00322, tile_num=3),
cls.OgcTestCase('S1 EW SH Test',
WmsRequest(data_collection=DataCollection.SENTINEL1_EW_SH,
data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF, layer='BANDS-S1-EW-SH',
width=img_width, height=img_height, bbox=wgs84_bbox_3,
time=('2018-2-6', '2018-2-8'),
time_difference=datetime.timedelta(hours=1)),
result_len=1, img_min=0.00697, img_max=1.0, img_mean=0.5071, img_median=0.5276, tile_num=1),
cls.OgcTestCase('S1 EW ASC Test',
WmsRequest(data_collection=DataCollection.SENTINEL1_EW_ASC, data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF, layer='BANDS-S1-EW',
width=img_width, height=img_height, bbox=wgs84_bbox_2,
time=('2018-2-7', '2018-2-8'),
time_difference=datetime.timedelta(hours=1)),
result_len=1, img_min=0.0, img_max=1.0, img_mean=0.34803, img_median=0.02383,
tile_num=2),
cls.OgcTestCase('S1 IW DES Test',
WmsRequest(data_collection=DataCollection.SENTINEL1_IW_DES, data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF, layer='BANDS-S1-IW',
width=img_width, height=img_height, bbox=wgs84_bbox,
time=('2017-10-01', '2017-10-05'),
time_difference=datetime.timedelta(hours=1)),
result_len=1, img_min=0.0, img_max=1.0, img_mean=0.3474, img_median=0.04069, tile_num=1),
cls.OgcTestCase('S3 OLCI Test',
WmsRequest(data_collection=DataCollection.SENTINEL3_OLCI,
data_folder=cls.OUTPUT_FOLDER,
image_format=MimeType.TIFF, layer='TRUE-COLOR-S3-OLCI',
width=img_width, height=img_height, bbox=wgs84_bbox_4,
time=('2020-2-5', '2020-2-10'),
time_difference=datetime.timedelta(hours=1)),
result_len=11, img_min=243, img_max=255, img_mean=248.80765, img_median=248.0, tile_num=17),
]
for test_case in cls.test_cases:
test_case.collect_data()