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baltic_mlp.py
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baltic_mlp.py
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import configparser
import json
import os.path
from netCDF4 import Dataset
from balticmlp import balmlpensemble
from balticmlp import polymerflag
from balticmlp import baloutputfile
import numpy as np
import BSC_QAA.bsc_qaa_EUMETSAT as bsc_qaa
class BALTIC_MLP():
def __init__(self, fconfig, verbose):
self.verbose = verbose
if fconfig is None:
fconfig = 'aceasy_config.ini'
path_par = None
if os.path.exists(fconfig):
options = configparser.ConfigParser()
options.read(fconfig)
if options.has_section('BALMLP'):
if options.has_option('BALMLP', 'par_path'):
path_par = options['BALMLP']['par_path']
self.balmlp = balmlpensemble.BalMLP(path_par)
self.rrsbands = {
'Rw400': 'RRS400',
'Rw412': 'RRS412_5',
'Rw443': 'RRS442_5',
'Rw490': 'RRS490',
'Rw510': 'RRS510',
'Rw560': 'RRS560',
'Rw620': 'RRS620',
'Rw665': 'RRS665',
'Rw674': 'RRS673_75',
'Rw681': 'RRS681_25',
'Rw709': 'RRS708_75',
'Rw754': 'RRS753_75',
'Rw779': 'RRS778_75',
'Rw865': 'RRS865'
}
# for retrieving RRS
self.central_wavelength = {}
# for chla algorithm
self.wlbands_chla = ['Rw443', 'Rw490', 'Rw510', 'Rw560', 'Rw665']
self.wl_chla = [443, 490, 510, 560, 665]
self.central_wl_chla = []
self.applyBandShifting = True
# IOP
self.iop_var = ['ADG443', 'APH443', 'BBP443']
# PSC
self.psc_var = ['MICRO', 'NANO', 'PICO']
# PFT
self.pft_var = ['DIATO', 'DINO', 'GREEN', 'CRYPTO', 'PROKAR']
# BAL LIMITS
self.geo_limits = [53.25, 65.85, 9.25, 30.25] # latmin,latmax,lonmin,lonmax
# ALL VARIABLES
self.all_var = ['CHL', 'ADG443', 'APH443', 'BBP443', 'KD490', 'MICRO', 'NANO', 'PICO', 'DIATO', 'DINO', 'GREEN',
'CRYPTO', 'PROKAR']
self.varattr = None
sdir = os.path.abspath(os.path.dirname(__file__))
foptions = os.path.join(sdir, 'varat.json')
if not os.path.exists(foptions):
path2info = os.path.join(os.path.dirname(sdir))
foptions = os.path.join(path2info, 'varat.json')
if os.path.exists(foptions):
f = open(foptions, "r")
self.varattr = json.load(f)
f.close()
def check_runac(self):
# NO IMPLEMENTED
return True
def run_process(self, prod_path, output_dir):
fileout = self.get_file_out(prod_path, output_dir)
if os.path.exists(fileout):
print(f'[WARNING] Output file {fileout} already exits. Skipping...')
return
if self.verbose:
print(f'[INFO] Starting water processing')
ncpolymer = Dataset(prod_path)
# info bands
self.retrive_info_wlbands(ncpolymer)
# flag object
flag_band = ncpolymer.variables['bitmask']
flagging = polymerflag.Class_Flags_Polymer(flag_band)
# image limits
if prod_path.split('/')[-1].lower().find('trim') > 0:
startX = 0
startY = 0
endX = ncpolymer.dimensions['width'].size - 1
endY = ncpolymer.dimensions['height'].size - 1
else:
startY, endY, startX, endX = self.get_geo_limits(ncpolymer)
if self.verbose:
print(f'[INFO] Trimming y->{startY}:{endY} x->{startX}:{endX}')
ny = (endY - startY) + 1
nx = (endX - startX) + 1
if self.verbose:
print(f'[INFO] Image dimensions {ny}x{nx}')
# print(startY,endY,startX,endX)
# latArray,lonArray = self.get_lat_lon_arrays(ncpolymer,startY,endY+1,startX,endX+1)
# print(latArray.shape)
# print(lonArray.shape)
# defining output arrays
all_arrays = {}
for var in self.all_var:
array = np.empty((ny, nx))
array[:] = np.NaN
all_arrays[var] = array
# defining tile sizes
tileX = 250
tileY = 250
# computing chla for each tile
for y in range(startY, endY, tileY):
ycheck = y - startY
if self.verbose and (ycheck == 0 or ((ycheck % tileY) == 0)):
print(f'[INFO] Processing line {ycheck}/{ny}')
for x in range(startX, endX, tileX):
yini = y
yend = y + tileY
if yend > endY:
yend = endY + 1
xini = x
xend = x + tileX
if xend > endX:
xend = endX + 1
nvalid, valid_mask = self.get_valid_mask(flagging, ncpolymer, yini, yend, xini, xend)
# chla, iop, psc and kd estimation, only if the tile includes valid pixels
if nvalid > 0:
rrs_data, iop = self.get_valid_rrs(ncpolymer, valid_mask, nvalid, yini, yend, xini, xend)
# chl
chla_res = self.balmlp.compute_chla_ensemble_3bands(rrs_data)
chla_here = np.empty(valid_mask.shape)
chla_here[:] = np.NaN
chla_here[valid_mask] = chla_res
all_arrays['CHL'][yini - startY:yend - startY, xini - startX:xend - startX] = chla_here[:, :]
# iop
if iop is None:
continue
for n in range(3):
iop_here = np.empty(valid_mask.shape)
iop_here[:] = np.NaN
iop_here[valid_mask] = iop[:, n]
all_arrays[self.iop_var[n]][yini - startY:yend - startY,
xini - startX:xend - startX] = iop_here[:, :]
# kd, using 490 and 555 bands
kd_res = self.compute_kd(rrs_data[:, 1], rrs_data[:, 3])
kd_here = np.empty(valid_mask.shape)
kd_here[:] = np.NaN
kd_here[valid_mask] = kd_res[:]
all_arrays['KD490'][yini - startY:yend - startY, xini - startX:xend - startX] = kd_here[:, :]
# psc and pft
psc, pft = self.compute_psc_pft(chla_res)
for var in self.psc_var:
psc_here = np.empty(valid_mask.shape)
psc_here[:] = np.NaN
psc_here[valid_mask] = psc[var][:]
all_arrays[var][yini - startY:yend - startY, xini - startX:xend - startX] = psc_here[:, :]
for var in self.pft_var:
pft_here = np.empty(valid_mask.shape)
pft_here[:] = np.NaN
pft_here[valid_mask] = pft[var][:]
all_arrays[var][yini - startY:yend - startY, xini - startX:xend - startX] = pft_here[:, :]
if self.verbose:
print(f'[INFO] Water processing completed')
print(f'[INFO] Output file: {fileout}')
self.create_file(fileout, ncpolymer, all_arrays, startY, endY + 1, startX, endX + 1)
def get_geo_limits(self, ncpolymer):
array_lat = np.array(ncpolymer.variables['latitude'][:, :])
array_lon = np.array(ncpolymer.variables['longitude'][:, :])
width = ncpolymer.dimensions['width'].size
height = ncpolymer.dimensions['height'].size
geovalid = np.zeros(array_lat.shape, dtype=np.bool)
for r in range(height):
for c in range(width):
if self.geo_limits[0] <= array_lat[r, c] <= self.geo_limits[1] and self.geo_limits[2] <= array_lon[
r, c] <= self.geo_limits[3]:
geovalid[r, c] = True
r, c = np.where(geovalid)
startY = r.min()
endY = r.max()
startX = c.min()
endX = c.max()
return startY, endY, startX, endX
def find_row_column_from_lat_lon(self, lat, lon, lat0, lon0):
# % closest squared distance
# % lat and lon are arrays of MxN
# % lat0 and lon0 is the coordinates of one point
if self.contain_location(lat, lon, lat0, lon0):
dist_squared = (lat - lat0) ** 2 + (lon - lon0) ** 2
r, c = np.unravel_index(np.argmin(dist_squared),
lon.shape) # index to the closest in the latitude and longitude arrays
else:
# print('Warning: Location not contained in the file!!!')
r = np.nan
c = np.nan
return r, c
def contain_location(self, lat, lon, in_situ_lat, in_situ_lon):
if lat.min() <= in_situ_lat <= lat.max() and lon.min() <= in_situ_lon <= lon.max():
contain_flag = 1
else:
contain_flag = 0
return contain_flag
def retrive_info_wlbands(self, ncpolymer):
if 'central_wavelength' in ncpolymer.ncattrs():
cws = ncpolymer.central_wavelength.replace('{', '')
cws = cws.replace('}', '')
cws = cws.split(',')
for cw in cws:
cwhere = cw.split(':')
band = f'Rw{cwhere[0].strip()}'
self.central_wavelength[band] = float(cwhere[1].strip())
for wlband in self.wlbands_chla:
self.central_wl_chla.append(self.central_wavelength[wlband])
else:
self.applyBandShifting = False
def create_file(self, fileout, ncpolymer, all_arrays, yini, yend, xini, xend):
if self.verbose:
print(f'[INFO] Writting output file: {fileout}')
ncoutput = baloutputfile.BalOutputFile(fileout)
if not ncoutput.FILE_CREATED:
print(f'[ERROR] File {fileout} could not be created. Please check permissions')
return False
ncoutput.set_global_attributes(ncpolymer)
array_chl = all_arrays['CHL']
ny = array_chl.shape[0]
nx = array_chl.shape[1]
ncoutput.create_dimensions(ny, nx)
# latitude, longitude
if self.verbose:
print(f'[INFO] Adding latitude/longitude...')
array_lat = np.array(ncpolymer.variables['latitude'][yini:yend, xini:xend])
array_lon = np.array(ncpolymer.variables['longitude'][yini:yend, xini:xend])
ncoutput.create_lat_long_variables(array_lat, array_lon)
# rrs
if self.verbose:
print(f'[INFO] Adding rrs:')
for rrsvar in self.rrsbands.keys():
namevar = self.rrsbands[rrsvar]
if self.verbose:
print(f'[INFO] {rrsvar}->{namevar}')
if not rrsvar in ncpolymer.variables:
print(f'[WARNING] Band {rrsvar} is not available in the Polymer file')
continue
array = np.ma.array(ncpolymer.variables[rrsvar][yini:yend, xini:xend])
array[array.mask] = -999
array[~array.mask] = array[~array.mask] / np.pi
wl = self.central_wavelength[rrsvar]
ncoutput.create_rrs_variable(array, namevar, wl, self.varattr)
#chl
if self.verbose:
print(f'[INFO] Adding chla...')
#ncoutput.create_chla_variable(array_chl)
ncoutput.create_var_general(array_chl,'CHL',self.varattr)
#IOP
if self.verbose:
print(f'[INFO] Adding IOPs...')
for var in self.iop_var:
if self.verbose:
print(f'[INFO] {var}')
#ncoutput.create_iop_variable(all_arrays[var], var)
ncoutput.create_var_general(all_arrays[var],var,self.varattr)
#KD490
if self.verbose:
print(f'[INFO] Adding KD490...')
#ncoutput.create_kd_variable(all_arrays['KD490'], 'KD490')
ncoutput.create_var_general(all_arrays['KD490'],'KD490',self.varattr)
if self.verbose:
print(f'[INFO] Adding PSC...')
for var in self.psc_var:
if self.verbose:
print(f'[INFO] {var}')
ncoutput.create_var_general(all_arrays[var],var,self.varattr)
if self.verbose:
print(f'[INFO] Adding PFT...')
for var in self.pft_var:
if self.verbose:
print(f'[INFO] {var}')
ncoutput.create_var_general(all_arrays[var],var,self.varattr)
ncoutput.close_file()
if self.verbose:
print(f'[INFO] File {fileout} was created')
def get_file_out(self, prod_path, output_dir):
name = prod_path.split('/')[-1]
nameout = name[:-3] + '_MLP.nc'
if nameout.find('OL_1_EFR') > 0:
nameout = nameout.replace('OL_1_EFR', 'OL_2_WFR')
fileout = os.path.join(output_dir, nameout)
return fileout
def get_valid_mask(self, flagging, ncpolymer, yini, yend, xini, xend):
satellite_flag_band = np.array(ncpolymer.variables['bitmask'][yini:yend, xini:xend])
flag_mask = flagging.MaskGeneral(satellite_flag_band)
valid_mask = flag_mask == 0
nvalid = valid_mask.sum()
return nvalid, valid_mask
def get_valid_rrs(self, ncpolymer, valid_mask, nvalid, yini, yend, xini, xend):
# 443_490_510_555_670
wlbands = ['Rw443', 'Rw490', 'Rw510', 'Rw560', 'Rw665']
# rrsdata = np.zeros([nvalid, 5])
rrsdata = np.zeros([5, nvalid])
for iband in range(5):
wlband = wlbands[iband]
band = np.ma.array(ncpolymer.variables[wlband][yini:yend, xini:xend])
valid_mask[band.mask] = False
# rrsdata[:, iband] = band[valid_mask]
rrsdata[iband, :] = band[valid_mask]
rrsdata = rrsdata / np.pi
iop = None
if self.applyBandShifting:
# rrsdata_out = rrsdata.transpose()
rrsdata_out, iop = bsc_qaa.bsc_qaa(rrsdata, self.central_wl_chla, self.wl_chla)
rrsdata = rrsdata_out.transpose()
else:
rrsdata = rrsdata.transpose()
return rrsdata, iop
def compute_kd(self, rrs490, rrs555):
r = np.log10(rrs490 / rrs555)
a = [0.0166, -0.8515, -1.8263, 1.8714, -2.4414, -1.0690]
val = a[1] + r * (a[2] + r * (a[3] + r * (a[4] + r * a[5])))
out = a[0] + np.power(10, val)
return out
# IDL CODE
# r490 = input(*, 0) & r555 = input(*, 1)
#
# r = ALOG10(r490(good) / r555(good))
#
# a = [0.0166, -0.8515, -1.8263, 1.8714, -2.4414, -1.0690];
# kd490
# standard
# out = a(0) + 10.0 ^ (a(1) + r * (a(2) + r * (a(3) + r * (a(4) + r * a(5)))))
def compute_psc_pft(self, chl):
x_log = np.log10(chl)
psc = {}
pft = {}
# PSC - pico
a = 0.261
b = 1.870
psc['PICO'] = a * np.exp(b * x_log)
# PSC - nano
a = 0.324
b = 2.412
psc['NANO'] = a * np.exp(b * x_log)
# PSC - micro
psc['MICRO'] = chl - psc['PICO'] - psc['NANO']
##PFT - Dino
a = 0.050
b = 2.313
pft['DINO'] = a * np.exp(b * x_log)
##PFT - diato
pft['DIATO'] = psc['MICRO'] - pft['DINO']
## PFT - Green algae & Prochlorophytes
a = 0.119
b = 2.181
pft['GREEN'] = a * np.exp(b * x_log)
## PFT - Cryptophytes
pft['CRYPTO'] = psc['NANO'] - (0.5 * pft['GREEN'])
## PFT - Prokaryotes
pft['PROKAR'] = psc['PICO'] - (0.5 * pft['GREEN'])
for var in self.psc_var:
psc[var][chl < 0.13] = -999
psc[var][chl > 25.5] = -999
for var in self.pft_var:
pft[var][chl < 0.13] = -999
pft[var][chl > 25.5] = -999
return psc, pft
# def get_lat_lon_arrays(self,ncpolymer,yini,yend,xini,xend):
# array_lat = np.array(ncpolymer.variables['latitude'][yini:yend, xini:xend])
# array_lon = np.array(ncpolymer.variables['longitude'][yini:yend, xini:xend])
# return array_lat, array_lon