def _calculate_infiltration(self, datasets):
# short keys
s = self.I_SOIL
l = self.I_LANDUSE
o = self.O_INFILTRATION
# create
no_data_value = self.no_data_value[o]
infiltration = make_dataset(template=datasets[s],
data_type=self.data_type[o],
no_data_value=no_data_value)
# read and convert soil
s_conv = np.array([no_data_value if x is None else x
for x in self.soil_tables['max_infil']])
s_band = datasets[s].GetRasterBand(1)
s_data = s_conv[s_band.ReadAsArray()]
s_mask = ~s_band.GetMaskBand().ReadAsArray().astype('b1')
s_data[s_mask] = no_data_value
# read and convert landuse
l_conv = np.array([no_data_value if x is None else x
for x in self.landuse_tables['permeability']])
l_band = datasets[l].GetRasterBand(1)
l_data = l_conv[l_band.ReadAsArray()]
l_mask = ~l_band.GetMaskBand().ReadAsArray().astype('b1')
l_data[l_mask] = no_data_value
# calculate
data = np.where(
np.logical_and(l_data != no_data_value, s_data != no_data_value),
l_data * s_data,
no_data_value,
)
# write
infiltration.GetRasterBand(1).WriteArray(data)
return infiltration
def _calculate_infiltration(self, datasets):
# short keys
s = self.I_SOIL
c = self.I_LANDUSE
o = self.O_INFILTRATION
# create
no_data_value = self.no_data_value[o]
infiltration = make_dataset(template=datasets[s],
data_type=self.data_type[o],
no_data_value=no_data_value)
# read and convert soil
s_conv = np.array([
no_data_value if x is None else x
for x in self.soil_tables['max_infil']
])
s_band = datasets[s].GetRasterBand(1)
s_data = s_conv[s_band.ReadAsArray()]
s_mask = ~s_band.GetMaskBand().ReadAsArray().astype('b1')
s_data[s_mask] = no_data_value
# read and convert landuse
l_conv = np.array([
no_data_value if x is None else x
for x in self.landuse_tables['permeability']
])
l_band = datasets[c].GetRasterBand(1)
l_data = l_conv[l_band.ReadAsArray()]
l_mask = ~l_band.GetMaskBand().ReadAsArray().astype('b1')
l_data[l_mask] = no_data_value
# calculate
data = np.where(
np.logical_and(l_data != no_data_value, s_data != no_data_value),
l_data * s_data,
no_data_value,
)
# write
infiltration.GetRasterBand(1).WriteArray(data)
return infiltration
def __init__(self, layers, dtype, fillvalue, time, **kwargs):
""" Initialize the operation. """
# self.layers = layers
self.outputs = {self.name: [self.name]}
self.inputs = {self.name: {'layers': layers, 'time': time}}
self.data_type = {self.name: DTYPES[dtype]}
if fillvalue is None:
if dtype[0] == 'f':
no_data_value = float(np.finfo(dtype).max)
else:
no_data_value = int(np.iinfo(dtype).max)
else:
no_data_value = np.array(fillvalue, dtype).tolist()
self.no_data_value = {
self.name: no_data_value,
}
def __init__(self, layers, dtype, fillvalue, time, **kwargs):
""" Initialize the operation. """
# self.layers = layers
self.outputs = [self.name]
self.inputs = {self.name: {'layers': layers, 'time': time}}
self.data_type = {self.name: DTYPES[dtype]}
if fillvalue is None:
if dtype[0] == 'f':
no_data_value = float(np.finfo(dtype).max)
else:
no_data_value = int(np.iinfo(dtype).max)
else:
no_data_value = np.array(fillvalue, dtype).tolist()
self.no_data_value = {
self.name: no_data_value,
}
def _calculate_hydr_cond(self, datasets):
# short keys
i = self.I_SOIL
o = self.O_HYDRAULIC_CONDUCTIVITY
# create
no_data_value = self.no_data_value[o]
permeability = make_dataset(template=datasets[i],
data_type=self.data_type[o],
no_data_value=no_data_value)
# read and convert
conversion = np.array([no_data_value if x is None else x
for x in self.soil_tables['intr_perm']])
band = datasets[i].GetRasterBand(1)
data = conversion[band.ReadAsArray()]
mask = ~band.GetMaskBand().ReadAsArray().astype('b1')
data[mask] = no_data_value
# write
permeability.GetRasterBand(1).WriteArray(data)
return permeability
def _calculate_interception(self, datasets):
# short keys
i = self.I_LANDUSE
o = self.O_INTERCEPTION
# create
no_data_value = self.no_data_value[o]
interception = make_dataset(template=datasets[i],
data_type=self.data_type[o],
no_data_value=no_data_value)
# read and convert
conversion = np.array([no_data_value if x is None else x
for x in self.landuse_tables['interception']])
band = datasets[i].GetRasterBand(1)
data = conversion[band.ReadAsArray()]
mask = ~band.GetMaskBand().ReadAsArray().astype('b1')
data[mask] = no_data_value
# write
interception.GetRasterBand(1).WriteArray(data)
return interception
def _calculate_hydr_cond(self, datasets):
# short keys
i = self.I_SOIL
o = self.O_HYDRAULIC_CONDUCTIVITY
# create
no_data_value = self.no_data_value[o]
permeability = make_dataset(template=datasets[i],
data_type=self.data_type[o],
no_data_value=no_data_value)
# read and convert
conversion = np.array([
no_data_value if x is None else x
for x in self.soil_tables['intr_perm']
])
band = datasets[i].GetRasterBand(1)
data = conversion[band.ReadAsArray()]
mask = ~band.GetMaskBand().ReadAsArray().astype('b1')
data[mask] = no_data_value
# write
permeability.GetRasterBand(1).WriteArray(data)
return permeability
def _calculate_interception(self, datasets):
# short keys
i = self.I_LANDUSE
o = self.O_INTERCEPTION
# create
no_data_value = self.no_data_value[o]
interception = make_dataset(template=datasets[i],
data_type=self.data_type[o],
no_data_value=no_data_value)
# read and convert
conversion = np.array([
no_data_value if x is None else x
for x in self.landuse_tables['interception']
])
band = datasets[i].GetRasterBand(1)
data = conversion[band.ReadAsArray()]
mask = ~band.GetMaskBand().ReadAsArray().astype('b1')
data[mask] = no_data_value
# write
interception.GetRasterBand(1).WriteArray(data)
return interception
