def iop(im_fname, out_dir, im_date_time, lat, lon):
# ------------------------------------------------------------------------------------------
# Load image
im_dset = gdal.Open(im_fname, gdalconst.GA_ReadOnly)
im_wl = pml_utils_io.get_ATCOR_image_wavelength(im_dset)
# ------------------------------------------------------------------------------------------
# Calculate water mask
water_mask = pml_utils_wq.water_mask(im_dset,im_wl)
# ------------------------------------------------------------------------------------------
# PML IOP model
a,ady,ap,bbp = pml_utils_wq.iop(im_dset,im_wl,im_date_time,lat,lon,water_mask)
# ------------------------------------------------------------------------------------------
# Write down results
bands = [412.,443.,490.,510.,555.,670.]
for i,band in enumerate(bands):
out_fname = os.path.join(out_dir,'atot('+'%i'%int(band)+')_PMLiop_'+os.path.basename(im_fname))
pml_utils_io.write_envi_image(out_fname,a[:,:,i],im_dset)
out_fname = os.path.join(out_dir,'bbp('+'%i'%int(band)+')_PMLiop_'+os.path.basename(im_fname))
pml_utils_io.write_envi_image(out_fname,bbp[:,:,i],im_dset)
def chlor_a(im_fname, out_dir, alg_name):
# Load image
im_dset = gdal.Open(im_fname, gdalconst.GA_ReadOnly)
im_wl = pml_utils_io.get_ATCOR_image_wavelength(im_dset)
# Process data
if alg_name=='git':
# Gitelson Chl-a
# Select bands
git_bands = [675.,695.,730.]
sel_band_ind,sel_band_val = pml_utils_io.select_bands(im_wl,git_bands)
# Load bands
im_data = pml_utils_io.get_image_raster(im_dset,sel_band_ind)
# Interpolate Gitelson bands
ip_fun = scipy.interpolate.interp1d(sel_band_val,im_data,axis=2,kind='linear',bounds_error=False,fill_value=-9999.)
interp_im_data = ip_fun(git_bands)
# Gitelson calculation for Rrs
chla = pml_utils_wq.gitelson(interp_im_data[:,:,0], interp_im_data[:,:,1], interp_im_data[:,:,2])
elif alg_name=='oc4':
# OC4 Chl-a
# Select bands
oc4_bands = [443.,489.,510.,555.]
sel_band_ind,sel_band_val = pml_utils_io.select_bands(im_wl,oc4_bands)
# Load bands
im_data = pml_utils_io.get_image_raster(im_dset,sel_band_ind)
# Interpolate OC4 bands
ip_fun = scipy.interpolate.interp1d(sel_band_val,im_data,axis=2,kind='linear',bounds_error=False,fill_value=-9999.)
interp_im_data = ip_fun(oc4_bands)
# OC4 calculation
chla = pml_utils_wq.oc4v6(interp_im_data[:,:,0], interp_im_data[:,:,1], interp_im_data[:,:,2], interp_im_data[:,:,3])
else:
print "ERROR: unknown name for chl-a algorithm ($s)"%alg_name
raise
# Apply water mask
water_mask = pml_utils_wq.water_mask(im_dset,im_wl)
chla[water_mask] = 0.
# ------------------------------------------------------------------------------------------
# Write down results
out_fname = os.path.join(out_dir,'chl_'+alg_name+'_'+os.path.basename(im_fname))
pml_utils_io.write_envi_image(out_fname,chla,im_dset)
def tsm(im_fname, out_dir, alg_name):
# Load image
im_dset = gdal.Open(im_fname, gdalconst.GA_ReadOnly)
im_wl = pml_utils_io.get_ATCOR_image_wavelength(im_dset)
# ------------------------------------------------------------------------------------------
if alg_name=='nechad':
# Nechad2010 TSM
tsm = pml_utils_wq.nechad_tsm(im_dset,im_wl)
else:
print "ERROR: unknown algorithm name."
raise
# Apply water mask
water_mask = pml_utils_wq.water_mask(im_dset,im_wl)
tsm[water_mask] = 0.
# Write down results
out_fname = os.path.join(out_dir,'tsm_'+alg_name+'_'+os.path.basename(im_fname))
pml_utils_io.write_envi_image(out_fname,tsm,im_dset)