def __init__(self, specName, nu, tmprLow, tmprHi, tmprInc,
sensorResp=None, opticsTau=None, filterTau=None, atmoTau=None,
sourceEmis=None,
sigMin=None, sigMax=None, sigInc=None, dicCaldata=None,
dicPower=None, dicFloor=None):
"""Initialise and loads the camera calibration data from files and calculate the lookup tables.
"""
__all__ = ['info',
'LookupDLRad', 'LookupDLTemp', 'LookupTempRad', 'LookupRadTemp',
'PlotTempRadiance',
'PlotSpectrals', 'PlotCalSpecRadiance', 'PlotCalDLRadiance',
'PlotCalTempRadiance', 'PlotCalTintRad', 'PlotCalDLTemp'
]
self.specName = specName
self.nu = nu
self.sigMin = sigMin
self.sigMax = sigMax
self.sigInc = sigInc
self.tmprLow = tmprLow
self.tmprHi = tmprHi
self.tmprInc = tmprInc
self.sensorResp = sensorResp
self.opticsTau = opticsTau
self.filterTau = filterTau
self.atmoTau = atmoTau
self.sourceEmis = sourceEmis
self.dicCaldata = dicCaldata
self.dicPower = dicPower
self.dicFloor = dicFloor
#flags to signal task completion
self.spectralsLoaded = False
self.hiresTablesCalculated = False
self.calTablesCalculated = False
#set up the spectral domain in wavelength
self.wl = ryutils.convertSpectralDomain(self.nu, type='nl')
#load the spectral files
self.LoadSpectrals()
# multiply to calculate the total spectral shape.
self.specEffWiFil = self.specEmis * self.specAtmo * \
self.specFilter * self.specSensor * self.specOptics
self.specEffNoFil = self.specEmis * self.specAtmo * \
self.specSensor * self.specOptics
# convert calibration temperatures to K
if self.dicCaldata:
self.calLokey = min(self.dicCaldata.keys())
self.calHikey = max(self.dicCaldata.keys())
# for tmprInstr in self.dicCaldata:
# self.dicCaldata[tmprInstr][:,0] += 273.16
#calculate the lookup tables
self.CalculateDataTables()
tape7 = loadtape7(
"data/tape7-05",
['FREQ', 'TOT_TRANS', 'PTH_THRML', 'SURF_EMIS', 'TOTAL_RAD'])
np.savetxt('tape7-05.txt', tape7, fmt=str('%.6e'))
tape7 = loadtape7(
"data/tape7-05b",
['FREQ', 'TOT_TRANS', 'PTH_THRML', 'SURF_EMIS', 'TOTAL_RAD'])
np.savetxt('tape7-05b.txt', tape7, fmt=str('%.6e'))
if doAll:
colSelect = ['FREQ_CM-1', 'COMBIN_TRANS', 'H2O_TRANS', 'UMIX_TRANS', \
'O3_TRANS', 'H2O_CONT', 'MOLEC_SCAT', 'AER+CLD_TRANS']
tape7 = loadtape7("data/tape7VISNIR5kmTrop23Vis", colSelect)
wavelen = ryutils.convertSpectralDomain(tape7[:, 0], type='nl')
mT = ryplot.Plotter(1, 1, 1,"Modtran Tropical, 23 km Visibility (Rural)"\
+ ", 5 km Path Length",figsize=(12,6))
mT.plot(1,
wavelen,
tape7[:, 1:],
"",
"Wavelength [$\mu$m]",
"Transmittance",
label=colSelect[1:],
legendAlpha=0.5,
pltaxis=[0.4, 1, 0, 1],
maxNX=10,
maxNY=4,
powerLimits=[-4, 4, -5, 5])
mT.saveFig('ModtranPlot.png')
np.savetxt("tape7-05b.txt", tape7, fmt=str("%.6e"))
if True:
colSelect = [
"FREQ_CM-1",
"COMBIN_TRANS",
"H2O_TRANS",
"UMIX_TRANS",
"O3_TRANS",
"H2O_CONT",
"MOLEC_SCAT",
"AER+CLD_TRANS",
]
tape7 = loadtape7("data/tape7VISNIR5kmTrop23Vis", colSelect)
wavelen = ryutils.convertSpectralDomain(tape7[:, 0], type="nl")
mT = ryplot.Plotter(
1, 1, 1, "Modtran Tropical, 23 km Visibility (Rural)" + ", 5 km Path Length", figsize=(12, 6)
)
mT.plot(
1,
wavelen,
tape7[:, 1:],
"",
"Wavelength [$\mu$m]",
"Transmittance",
label=colSelect[1:],
legendAlpha=0.5,
pltaxis=[0.4, 1, 0, 1],
maxNX=10,
maxNY=4,
__version__ = "$Revision$"
__author__ = 'CJ Willers'
import numpy
import pyradi.ryfiles as ryfiles
import pyradi.ryplot as ryplot
import pyradi.ryplanck as ryplanck
import pyradi.ryutils as ryutils
#this example is somewhat contrived, but serves to show toolkit use
#load atmospheric transmittance from file created in Modtran in wavenumbers
# the transmittance is specified in the wavenumber domain with
# 5 cm-1 intervals, but we want to work in wavelength with 2.5 cm-1
waven = numpy.arange(2000.0, 3300.0, 2.5).reshape(-1, 1)
wavel = ryutils.convertSpectralDomain(waven, type='nl')
#remove comment lines, and scale path radiance from W/cm2.sr.cm-1 to W/m2.sr.cm-1
tauA = ryfiles.loadColumnTextFile('../data/path1kmflamesensor.txt', [1],
abscissaOut=waven,
comment='%')
lpathwn = ryfiles.loadColumnTextFile('../data/pathspaceflamesensor.txt', [9],
abscissaOut=waven,
ordinateScale=1.0e4,
comment='%')
#convert path radiance spectral density from 1/cm^-1 to 1/um, at the sample
#wavenumber points
(dum, lpathwl) = ryutils.convertSpectralDensity(waven, lpathwn, type='nl')
#load the detector file in wavelengths, and interpolate on required values
__version__= "$Revision$"
__author__='CJ Willers'
import numpy
import pyradi.ryfiles as ryfiles
import pyradi.ryplot as ryplot
import pyradi.ryplanck as ryplanck
import pyradi.ryutils as ryutils
#this example is somewhat contrived, but serves to show toolkit use
#load atmospheric transmittance from file created in Modtran in wavenumbers
# the transmittance is specified in the wavenumber domain with
# 5 cm-1 intervals, but we want to work in wavelength with 2.5 cm-1
waven = numpy.arange(2000.0, 3300.0, 2.5).reshape(-1, 1)
wavel= ryutils.convertSpectralDomain(waven, type='nl')
#remove comment lines, and scale path radiance from W/cm2.sr.cm-1 to W/m2.sr.cm-1
tauA = ryfiles.loadColumnTextFile('../data/path1kmflamesensor.txt',
[1],abscissaOut=waven, comment='%')
lpathwn = ryfiles.loadColumnTextFile('../data/pathspaceflamesensor.txt',
[9],abscissaOut=waven, ordinateScale=1.0e4, comment='%')
#convert path radiance spectral density from 1/cm^-1 to 1/um, at the sample
#wavenumber points
(dum, lpathwl) = ryutils.convertSpectralDensity(waven, lpathwn, type='nl')
#load the detector file in wavelengths, and interpolate on required values
detR = ryfiles.loadColumnTextFile('../data/detectorflamesensor.txt',
[1],abscissaOut=wavel, comment='%')
