name = 'VCI'
filename = "VCI_{YYYY}_{MM}_{DD}.tif"
filedate = {'YYYY': (4, 8), 'MM': (9, 11), 'DD': (12, 14)}
temp_res = 'daily'
host = "neoftp.sci.gsfc.nasa.gov"
protocol = 'FTP'
directory = "/gs/MOD11C1_D_LSTDA/"
begin_date = datetime(2007, 1, 1)
nan_value = 255
p.add_source(name,
filename,
filedate,
temp_res,
host,
protocol,
begin_date=begin_date,
nan_value=nan_value,
colorbar='terrain_r')
#
#
# name = 'FAPAR'
# filename = "g2_BIOPAR_FAPAR_QL_{YYYY}{MM}{DD}0000_VGT_V1.3.tiff"
# filedate = {'YYYY': (19, 23), 'MM': (23, 25), 'DD': (25, 27)}
# temp_res = 'daily'
# host = "neoftp.sci.gsfc.nasa.gov"
# protocol = 'FTP'
# directory = "/gs/MOD11C1_D_LSTDA/"
# begin_date = datetime(2007, 1, 1)
# nan_value = 255
class Test(unittest.TestCase):
@classmethod
def setUpClass(self):
self.rootpath = os.path.join(curpath(), 'data', 'src_test')
self.nan_value = -99
self.regions = ['AU']
self.spatial_resolution = 1
self.temporal_resolution = 'week'
self.start_date = datetime(2013, 1, 7)
self.enddate = datetime(2013, 1, 13)
self.testdate = datetime(2013, 1, 10)
if os.path.exists(self.rootpath):
shutil.rmtree(self.rootpath)
os.mkdir(self.rootpath)
os.mkdir(os.path.join(self.rootpath, 'DATA'))
os.mkdir(os.path.join(self.rootpath, 'TMP'))
self.poet = Poet(self.rootpath, self.regions, self.spatial_resolution,
self.temporal_resolution, self.start_date,
self.nan_value)
# setup test png files
self.pngdir = os.path.join(curpath(), 'data', 'testpngs')
if os.path.exists(self.pngdir):
shutil.rmtree(self.pngdir)
os.mkdir(self.pngdir)
dtindex = get_dtindex('day', self.start_date,
self.enddate)
for dat in dtindex:
year = str(dat.year)
month = "%02d" % (dat.month)
day = "%02d" % (dat.day)
fname = ('test_' + year + '_' + month + '_' + day + '.png')
shutil.copy(os.path.join(curpath(), 'data', 'test.png'),
os.path.join(self.pngdir, fname))
@classmethod
def tearDownClass(self):
if os.path.exists(self.rootpath):
shutil.rmtree(self.rootpath)
if os.path.exists(self.pngdir):
shutil.rmtree(self.pngdir)
def test_init(self):
assert len(self.poet.__dict__.keys()) == 13
def test_add_source(self):
name = 'CCI'
filename = ("ESACCI-SOILMOISTURE-L3S-SSMV-COMBINED-{YYYY}{MM}{TT}{hh}"
"{mm}{ss}-fv02.0.nc")
filedate = {'YYYY': (38, 42), 'MM': (42, 44), 'DD': (44, 46),
'hh': (46, 48), 'mm': (48, 50), 'ss': (50, 52)}
temp_res = 'daily'
host = "ftp.ipf.tuwien.ac.at/"
directory = "_down/daily_files/COMBINED/"
protocol = 'SFTP'
username = '******'
password = '******'
port = 22
dirstruct = ['YYYY']
begin_date = datetime(1978, 11, 01)
variables = ['sm']
valid_range = (0, 0.6)
colorbar = 'jet_r'
self.poet.add_source(name, filename, filedate, temp_res, host,
protocol, username=username, password=password,
port=port, directory=directory,
dirstruct=dirstruct, begin_date=begin_date,
variables=variables, colorbar=colorbar,
valid_range=valid_range)
assert len(self.poet.sources['CCI'].__dict__.keys()) == 29
name = 'TEST'
filename = "test_{YYYY}_{MM}_{TT}.png"
filedate = {'YYYY': (5, 9), 'MM': (10, 12), 'DD': (13, 15)}
temp_res = 'daily'
host = self.pngdir
protocol = 'local'
begin_date = datetime(2013, 1, 7)
nan_value = 255
data_range = (0, 254)
valid_range = (0, 1)
unit = "NDVI"
colorbar = 'Greens'
self.poet.add_source(name, filename, filedate, temp_res, host,
protocol, begin_date=begin_date,
nan_value=nan_value, valid_range=valid_range,
unit=unit, data_range=data_range,
colorbar=colorbar)
assert len(self.poet.sources['TEST'].__dict__.keys()) == 29
def test_download(self):
self.poet.download(begin=self.start_date, end=self.enddate)
assert len(os.listdir(os.path.join(self.rootpath, 'RAWDATA'))) == 2
def test_resample(self):
self.poet.resample(begin=self.start_date, end=self.enddate)
def test_fetch_data(self):
self.poet.fetch_data(end=self.enddate)
assert len(os.listdir(os.path.join(self.rootpath, 'DATA'))) == 1
assert len(os.listdir(os.path.join(self.rootpath, 'RAWDATA'))) == 2
def test_read_image(self):
img, lon, lat, metadata = self.poet.read_image('CCI', self.testdate)
assert img.shape == (3, 7)
assert img[2, 4] == 0.21312499791383743
assert metadata['units'] == 'm3 m-3'
assert lat.shape == (3,)
assert lon.shape == (7,)
img, _, _, metadata = self.poet.read_image('TEST', self.testdate,
variable='TEST_dataset')
assert img.shape == (3, 7)
assert img[2, 4] == 0.69685039370078738
assert img[0, 0] is np.ma.masked
assert metadata is None
def test_read_timeseries(self):
location = (14.5, 46.5)
ts = self.poet.read_timeseries('CCI', location, region=self.regions[0])
assert ts['CCI_sm'][0] == 0.21312499791383743
ts = self.poet.read_timeseries('TEST', location,
region=self.regions[0],
variable='TEST_dataset')
assert ts['TEST_dataset'][0] == 0.69685039370078738
def test_get_gridpoints(self):
gridpoints = self.poet.get_gridpoints()
assert gridpoints[self.regions[0]].index.size == 12
def test_get_variables(self):
variables = self.poet.get_variables()
assert variables == ['CCI_sm', 'TEST_dataset']
name = 'Vegetation_Status'
filename = "CF_MCD13Q1.A{{YYYY}}{{RP}}.10_days.NDVIgd.tif"
filedate = {'YYYY': (12, 16), 'RP': (16, 18)}
temp_res = 'dekad'
host = "ivfl-rio.boku.ac.at"
protocol = 'FTP'
directory = "/SATIDA/MODIS_NRT/CF/"
begin_date = datetime(2015, 1, 1)
nan_value = 255
data_range = (0, 254)
valid_range = (0, 1)
unit = "NDVI"
colorbar = 'Greens'
p.add_source(name,
filename,
filedate,
temp_res,
host,
protocol,
directory=directory,
begin_date=begin_date,
nan_value=nan_value,
valid_range=valid_range,
data_range=data_range,
unit=unit,
colorbar=colorbar)
p.sources['Vegetation_Status'].download_and_resample(
begin=begin_date, delete_rawdata=delete_rawdata)
class Test(unittest.TestCase):
@classmethod
def setUpClass(self):
self.rootpath = os.path.join(curpath(), 'data', 'src_test')
self.nan_value = -99
self.regions = ['AU']
self.spatial_resolution = 1
self.temporal_resolution = 'week'
self.start_date = datetime(2013, 1, 7)
self.enddate = datetime(2013, 1, 13)
self.testdate = datetime(2013, 1, 10)
if os.path.exists(self.rootpath):
shutil.rmtree(self.rootpath)
os.mkdir(self.rootpath)
os.mkdir(os.path.join(self.rootpath, 'DATA'))
os.mkdir(os.path.join(self.rootpath, 'TMP'))
self.poet = Poet(self.rootpath, self.regions, self.spatial_resolution,
self.temporal_resolution, self.start_date,
self.nan_value)
# setup test png files
self.pngdir = os.path.join(curpath(), 'data', 'testpngs')
if os.path.exists(self.pngdir):
shutil.rmtree(self.pngdir)
os.mkdir(self.pngdir)
dtindex = get_dtindex('day', self.start_date,
self.enddate)
for dat in dtindex:
year = str(dat.year)
month = "%02d" % (dat.month)
day = "%02d" % (dat.day)
fname = ('test_' + year + '_' + month + '_' + day + '.png')
shutil.copy(os.path.join(curpath(), 'data', 'test.png'),
os.path.join(self.pngdir, fname))
@classmethod
def tearDownClass(self):
if os.path.exists(self.rootpath):
shutil.rmtree(self.rootpath)
if os.path.exists(self.pngdir):
shutil.rmtree(self.pngdir)
def test_init(self):
assert len(self.poet.__dict__.keys()) == 15
def test_add_source(self):
name = 'TEST'
filename = "test_{YYYY}_{MM}_{TT}.png"
filedate = {'YYYY': (5, 9), 'MM': (10, 12), 'DD': (13, 15)}
temp_res = 'daily'
host = self.pngdir
protocol = 'local'
begin_date = datetime(2013, 1, 7)
nan_value = 255
data_range = (0, 254)
valid_range = (0, 1)
unit = "NDVI"
colorbar = 'Greens'
self.poet.add_source(name, filename, filedate, temp_res, host,
protocol, begin_date=begin_date,
nan_value=nan_value, valid_range=valid_range,
unit=unit, data_range=data_range,
colorbar=colorbar)
def test_download(self):
self.poet.download(begin=self.start_date, end=self.enddate)
assert len(os.listdir(os.path.join(self.rootpath, 'RAWDATA'))) == 1
def test_resample(self):
self.poet.resample(begin=self.start_date, end=self.enddate)
def test_fetch_data(self):
self.poet.fetch_data(end=self.enddate)
assert len(os.listdir(os.path.join(self.rootpath, 'DATA'))) == 1
assert len(os.listdir(os.path.join(self.rootpath, 'RAWDATA'))) == 1
def test_read_image(self):
img, _, _, metadata = self.poet.read_image('TEST', self.testdate,
variable='TEST_dataset')
assert img.shape == (3, 7)
assert img[2, 4] == 0.69685039370078738
assert img[0, 0] is np.ma.masked
assert metadata is None
def test_read_timeseries(self):
location = (14.5, 46.5)
ts = self.poet.read_timeseries('TEST', location,
region=self.regions[0],
variable='TEST_dataset')
assert ts['TEST_dataset'][0] == 0.69685039370078738
def test_get_gridpoints(self):
gridpoints = self.poet.get_gridpoints()
assert gridpoints[self.regions[0]].index.size == 12
def test_get_variables(self):
variables = self.poet.get_variables()
assert variables == ['TEST_dataset']
start_date = datetime(1992, 1, 1)
regions = ['CT']
delete_rawdata = True
valid_range = (0, 1)
p = Poet(rootpath, regions, spatial_resolution, temporal_resolution,
start_date, nan_value, delete_rawdata=delete_rawdata)
# SOURCE SETTINGS BOKU NDVI
name = 'Vegetation_Status'
filename = "CF_MCD13Q1.A{{YYYY}}{{RP}}.10_days.NDVIgd.tif"
filedate = {'YYYY': (12, 16), 'RP': (16, 18)}
temp_res = 'dekad'
host = "ivfl-rio.boku.ac.at"
protocol = 'FTP'
directory = "/SATIDA/MODIS_NRT/CF/"
begin_date = datetime(2015, 1, 1)
nan_value = 255
data_range = (0, 254)
valid_range = (0, 1)
unit = "NDVI"
colorbar = 'Greens'
p.add_source(name, filename, filedate, temp_res, host, protocol,
directory=directory, begin_date=begin_date,
nan_value=nan_value, valid_range=valid_range,
data_range=data_range, unit=unit, colorbar=colorbar)
p.sources['Vegetation_Status'].download_and_resample(begin=begin_date,
delete_rawdata=delete_rawdata)
class Test(unittest.TestCase):
@classmethod
def setUpClass(self):
self.rootpath = os.path.join(curpath(), 'data', 'src_test')
self.nan_value = -99
self.regions = ['AU']
self.spatial_resolution = 1
self.temporal_resolution = 'week'
self.start_date = datetime(2013, 1, 7)
self.enddate = datetime(2013, 1, 13)
self.testdate = datetime(2013, 1, 10)
if os.path.exists(self.rootpath):
shutil.rmtree(self.rootpath)
os.mkdir(self.rootpath)
os.mkdir(os.path.join(self.rootpath, 'DATA'))
os.mkdir(os.path.join(self.rootpath, 'TMP'))
self.poet = Poet(self.rootpath, self.regions, self.spatial_resolution,
self.temporal_resolution, self.start_date,
self.nan_value)
# setup test png files
self.pngdir = os.path.join(curpath(), 'data', 'testpngs')
if os.path.exists(self.pngdir):
shutil.rmtree(self.pngdir)
os.mkdir(self.pngdir)
dtindex = get_dtindex('day', self.start_date, self.enddate)
for dat in dtindex:
year = str(dat.year)
month = "%02d" % (dat.month)
day = "%02d" % (dat.day)
fname = ('test_' + year + '_' + month + '_' + day + '.png')
shutil.copy(os.path.join(curpath(), 'data', 'test.png'),
os.path.join(self.pngdir, fname))
@classmethod
def tearDownClass(self):
if os.path.exists(self.rootpath):
shutil.rmtree(self.rootpath)
if os.path.exists(self.pngdir):
shutil.rmtree(self.pngdir)
def test_init(self):
assert len(self.poet.__dict__.keys()) == 15
def test_add_source(self):
name = 'TEST'
filename = "test_{YYYY}_{MM}_{TT}.png"
filedate = {'YYYY': (5, 9), 'MM': (10, 12), 'DD': (13, 15)}
temp_res = 'daily'
host = self.pngdir
protocol = 'local'
begin_date = datetime(2013, 1, 7)
nan_value = 255
data_range = (0, 254)
valid_range = (0, 1)
unit = "NDVI"
colorbar = 'Greens'
self.poet.add_source(name,
filename,
filedate,
temp_res,
host,
protocol,
begin_date=begin_date,
nan_value=nan_value,
valid_range=valid_range,
unit=unit,
data_range=data_range,
colorbar=colorbar)
def test_download(self):
self.poet.download(begin=self.start_date, end=self.enddate)
assert len(os.listdir(os.path.join(self.rootpath, 'RAWDATA'))) == 1
def test_resample(self):
self.poet.resample(begin=self.start_date, end=self.enddate)
def test_fetch_data(self):
self.poet.fetch_data(end=self.enddate)
assert len(os.listdir(os.path.join(self.rootpath, 'DATA'))) == 1
assert len(os.listdir(os.path.join(self.rootpath, 'RAWDATA'))) == 1
def test_read_image(self):
img, _, _, metadata = self.poet.read_image('TEST',
self.testdate,
variable='TEST_dataset')
assert img.shape == (3, 7)
assert img[2, 4] == 0.69685039370078738
assert img[0, 0] is np.ma.masked
assert metadata is None
def test_read_timeseries(self):
location = (14.5, 46.5)
ts = self.poet.read_timeseries('TEST',
location,
region=self.regions[0],
variable='TEST_dataset')
assert ts['TEST_dataset'][0] == 0.69685039370078738
def test_get_gridpoints(self):
gridpoints = self.poet.get_gridpoints()
assert gridpoints[self.regions[0]].index.size == 12
def test_get_variables(self):
variables = self.poet.get_variables()
assert variables == ['TEST_dataset']
