def get_rad(self):
"""
return rad
"""
data = dict()
if self.resolution == 4000: # 分辨率为 1000
satellite_type1 = ['FY4A']
tbbs = self.get_tbb()
central_wave_numbers = self.get_central_wave_number()
lut = self.get_lut_bt()
# lut = None
if self.satellite in satellite_type1:
for i in xrange(self.channels):
band = 'CH_{:02d}'.format(i + 1)
if i >= 7:
tbb = tbbs[band]
central_wave_number = central_wave_numbers[band]
if lut:
print 'f4 lut'
rad = np.interp(tbb, lut['tbb'], lut['rad'][band])
else:
print 'f4 plank'
rad = planck_t2r(tbb, central_wave_number)
data[band] = rad
else:
raise ValueError('Cant read this satellite`s data.: {}'.format(
self.satellite))
else:
raise ValueError(
'Cant read this data, please check its resolution: {}'.format(
self.in_file))
return data
def get_rad_test2(self):
"""
return rad
"""
data = dict()
if self.resolution == 4000: # 分辨率为 1000
satellite_type1 = ['FY4A']
tbbs = self.get_tbb()
central_wave_numbers = self.get_central_wave_number()
if self.satellite in satellite_type1:
for i in xrange(self.channels):
band = 'CH_{:02d}'.format(i + 1)
if i >= 7:
tbb = 250
central_wave_number = central_wave_numbers[band]
rad = planck_t2r(tbb, central_wave_number)
data[band] = rad
else:
raise ValueError('Cant read this satellite`s data.: {}'.format(
self.satellite))
else:
raise ValueError(
'Cant read this data, please check its resolution: {}'.format(
self.in_file))
return data
def get_rad(self):
"""
经非线性校正后的RAD
:return:
"""
data = dict()
if self.resolution == 17000: # 分辨率为 17000
satellite_type1 = ['FY3A', 'FY3B', 'FY3C']
if self.satellite in satellite_type1:
tbbs = self.get_tbb()
central_wave_numbers = self.get_central_wave_number()
for i in xrange(self.channels):
band = 'CH_{:02d}'.format(i + 1)
if band in tbbs:
tbb = tbbs[band]
central_wave_number = central_wave_numbers[band]
rad = pb_sat.planck_t2r(tbb, central_wave_number)
data[band] = rad
else:
raise ValueError(
'Cant read this data, please check its resolution: {}'.format(self.in_file))
return data
def Load(self, L1File):
#################### 读取L1文件 ######################
print u'读取 L1所有数据信息...... %s ' % L1File
try:
h5File_R = h5py.File(L1File, 'r')
ary_ch26_dn = h5File_R.get('/Data/IRAS_DN')[:]
ary_ch26_tb = h5File_R.get('/Data/IRAS_TB')[:]
ary_day = h5File_R.get('/Data/Scnlin_daycnt')[:]
ary_time = h5File_R.get('/Data/Scnlin_mscnt')[:]
ary_satz = h5File_R.get('/Geolocation/SensorZenith')[:]
ary_sata = h5File_R.get('/Geolocation/SensorAzimuth')[:]
ary_sunz = h5File_R.get('/Geolocation/SolarZenith')[:]
ary_suna = h5File_R.get('/Geolocation/SolarAzimuth')[:]
ary_lon = h5File_R.get('/Geolocation/Longitude')[:]
ary_lat = h5File_R.get('/Geolocation/Latitude')[:]
ary_LandCover = h5File_R.get('/Geolocation/LandCover')[:]
ary_LandSeaMask = h5File_R.get('/Geolocation/LandSeaMask')[:]
except Exception as e:
print str(e)
return
finally:
h5File_R.close()
# 通道的中心波数和光谱响应
for i in xrange(self.Band):
BandName = 'CH_%02d' % (i + 1)
srfFile = os.path.join(
MainPath, 'SRF',
'%s_%s_SRF_CH%02d_Pub.txt' % (self.sat, self.sensor, (i + 1)))
dictWave = np.loadtxt(srfFile,
dtype={
'names': ('num', 'rad'),
'formats': ('f4', 'f4')
})
waveNum = dictWave['num']
waveRad = dictWave['rad']
self.waveNum[BandName] = waveNum
self.waveRad[BandName] = waveRad
############### 数据大小 使用经度维度 ###############
dshape = ary_lon.shape
##################可见光数据进行定标 ########
for i in xrange(self.Band):
BandName = 'CH_%02d' % (i + 1)
# DN值存放无效值用nan填充
DN = np.full(dshape, np.nan)
idx = np.logical_and(ary_ch26_dn[i] < 4095, ary_ch26_dn[i] > -4095)
DN[idx] = ary_ch26_dn[i][idx]
self.Dn[BandName] = DN
# Tbb值存放无效值用nan填充
Tbb = np.full(dshape, np.nan)
idx = np.logical_and(ary_ch26_tb[i] < 350, ary_ch26_tb[i] > 150)
Tbb[idx] = ary_ch26_tb[i][idx]
self.Tbb[BandName] = Tbb
# Rad值存放无效值用nan填充
Rad = np.full(dshape, np.nan)
Rad = pb_sat.planck_t2r(Tbb, self.WN[BandName])
self.Rad[BandName] = Rad
# 全局信息赋值 ############################
# 对时间进行赋值合并
v_ymd2seconds = np.vectorize(fy3_ymd2seconds)
T1 = v_ymd2seconds(ary_day, ary_time)
Time = np.full(dshape, -999)
for i in xrange(ary_lon.shape[0]):
Time[i, :] = T1[i]
if self.Time == []:
self.Time = Time
else:
self.Time = np.concatenate((self.Time, Time))
# SV, BB
for i in xrange(self.Band):
BandName = 'CH_%02d' % (i + 1)
SV = np.full(dshape, np.nan)
BB = np.full(dshape, np.nan)
if BandName not in self.SV.keys():
self.SV[BandName] = SV
self.BB[BandName] = BB
else:
self.SV[BandName] = np.concatenate((self.SV[BandName], SV))
self.BB[BandName] = np.concatenate((self.BB[BandName], BB))
# 土地覆盖
ary_LandCover_idx = np.full(dshape, np.nan)
condition = np.logical_and(ary_LandCover >= 0, ary_LandCover <= 254)
ary_LandCover_idx[condition] = ary_LandCover[condition]
if self.LandCover == []:
self.LandCover = ary_LandCover_idx
else:
self.LandCover = np.concatenate(
(self.LandCover, ary_LandCover_idx))
# 海陆掩码
ary_LandSeaMask_idx = np.full(dshape, np.nan)
condition = np.logical_and(ary_LandSeaMask >= 0, ary_LandSeaMask <= 7)
ary_LandSeaMask_idx[condition] = ary_LandSeaMask[condition]
if self.LandSeaMask == []:
self.LandSeaMask = ary_LandSeaMask_idx
else:
self.LandSeaMask = np.concatenate(
(self.LandSeaMask, ary_LandSeaMask_idx))
# 经纬度
ary_lon_idx = np.full(dshape, np.nan)
condition = np.logical_and(ary_lon > -180., ary_lon < 180.)
ary_lon_idx[condition] = ary_lon[condition]
if self.Lons == []:
self.Lons = ary_lon_idx
else:
self.Lons = np.concatenate((self.Lons, ary_lon_idx))
ary_lat_idx = np.full(dshape, np.nan)
condition = np.logical_and(ary_lat > -90., ary_lat < 90.)
ary_lat_idx[condition] = ary_lat[condition]
if self.Lats == []:
self.Lats = ary_lat_idx
else:
self.Lats = np.concatenate((self.Lats, ary_lat_idx))
# 卫星方位角 天顶角
ary_sata_idx = np.full(dshape, np.nan)
condition = np.logical_and(ary_sata > -18000, ary_sata < 18000)
ary_sata_idx[condition] = ary_sata[condition]
if self.satAzimuth == []:
self.satAzimuth = ary_sata_idx / 100.
else:
self.satAzimuth = np.concatenate(
(self.satAzimuth, ary_sata_idx / 100.))
ary_satz_idx = np.full(dshape, np.nan)
condition = np.logical_and(ary_satz > 0, ary_satz < 18000)
ary_satz_idx[condition] = ary_satz[condition]
if self.satZenith == []:
self.satZenith = ary_satz_idx / 100.
else:
self.satZenith = np.concatenate(
(self.satZenith, ary_satz_idx / 100.))
# 太阳方位角 天顶角
ary_suna_idx = np.full(dshape, np.nan)
condition = np.logical_and(ary_suna > -18000, ary_suna < 18000)
ary_suna_idx[condition] = ary_suna[condition]
if self.sunAzimuth == []:
self.sunAzimuth = ary_suna_idx / 100.
else:
self.sunAzimuth = np.concatenate(
(self.sunAzimuth, ary_suna_idx / 100.))
ary_sunz_idx = np.full(dshape, np.nan)
condition = np.logical_and(ary_sunz > 0, ary_sunz < 18000)
ary_sunz_idx[condition] = ary_sunz[condition]
if self.sunZenith == []:
self.sunZenith = ary_sunz_idx / 100.
else:
self.sunZenith = np.concatenate(
(self.sunZenith, ary_sunz_idx / 100.))
print self.sunZenith