I am trying to read an MSG (Meteosat Second Generation) file given in the native(.nat) format using satpy. I tried using:

import numpy as np
import os
from satpy import Scene
import matplotlib.pyplot as plt
import pandas as pd
from pyproj import Proj
from pyproj import transform
file = '/data/swadhin/meteosat/l1.5_data/native/MSG1-SEVI-MSG15-0100-NA-20211201035743.145000000Z-NA.nat'

# define reader
reader = "seviri_l1b_native"
# read the file
scn = Scene(filenames = {reader:[file]})
# extract data set names
dataset_names = scn.all_dataset_names()
# print available datasets
print('n'.join(map(str, dataset_names)))

which gave me

HRV
IR_016
IR_039
IR_087
IR_097
IR_108
IR_120
IR_134
VIS006
VIS008
WV_062
WV_073

I am now trying to read the 10.8 and 12 micron bands as follows:

import matplotlib.pyplot as plt

scn.load(['IR_108'])

# Access the dataset
ir108 = scn['IR_108']
    
# Print the metadata
print(ir108.attrs)

which again gives me:

{'orbital_parameters': {'projection_longitude': np.float32(41.5), 'projection_latitude': 0.0, 'projection_altitude': 35785831.0, 'satellite_nominal_longitude': np.float32(41.5), 'satellite_nominal_latitude': 0.0, 'satellite_actual_longitude': 41.639685531217864, 'satellite_actual_latitude': 6.875188281971676, 'satellite_actual_altitude': 35779932.76250567}, 'units': 'K', 'wavelength': WavelengthRange(min=9.8, central=10.8, max=11.8, unit='µm'), 'standard_name': 'toa_brightness_temperature', 'platform_name': 'Meteosat-8', 'sensor': 'seviri', 'georef_offset_corrected': np.True_, 'time_parameters': {'nominal_start_time': datetime.datetime(2021, 12, 1, 3, 45), 'nominal_end_time': datetime.datetime(2021, 12, 1, 4, 0), 'observation_start_time': datetime.datetime(2021, 12, 1, 3, 45, 11, 146000), 'observation_end_time': datetime.datetime(2021, 12, 1, 3, 57, 43, 145000)}, 'start_time': datetime.datetime(2021, 12, 1, 3, 45), 'end_time': datetime.datetime(2021, 12, 1, 4, 0), 'reader': 'seviri_l1b_native', 'area': Area ID: msg_seviri_iodc_3km
Description: MSG SEVIRI Indian Ocean Data Coverage service area definition with 3 km resolution
Projection: {'a': '6378169', 'h': '35785831', 'lon_0': '41.5', 'no_defs': 'None', 'proj': 'geos', 'rf': '295.488065897014', 'type': 'crs', 'units': 'm', 'x_0': '0', 'y_0': '0'}
Number of columns: 3712
Number of rows: 3712
Area extent: (np.float32(5567248.0), np.float32(5570248.5), np.float32(-5570248.5), np.float32(-5567248.0)), 'name': 'IR_108', 'resolution': 3000.403165817, 'calibration': 'brightness_temperature', 'modifiers': (), '_satpy_id': DataID(name='IR_108', wavelength=WavelengthRange(min=9.8, central=10.8, max=11.8, unit='µm'), resolution=3000.403165817, calibration=<2>, modifiers=()), 'ancillary_variables': []}

But when I try to get the brightness temperature for a particular lat and long, I tried constructing the grid as:

# Get the brightness temperature data
brightness_temp = ir108.data.compute() 

# Get the area definition (contains geolocation information)
area_def = ir108.attrs['area']

# Projection parameters from ir108.attrs
proj_params = area_def.proj_dict

# Define the projection using pyproj
proj = Proj(proj='geos', h=35785831, lon_0=41.5, a=6378169, rf=295.488065897014, units='m')

# Create a grid of pixel coordinates
x = np.linspace(area_def.area_extent[0], area_def.area_extent[2], area_def.shape[1])
y = np.linspace(area_def.area_extent[1], area_def.area_extent[3], area_def.shape[0])
x_coords, y_coords = np.meshgrid(x, y)

# Transform pixel coordinates to geographic coordinates
lons, lats = proj(x_coords, y_coords, inverse=True)

# Flatten the arrays for DataFrame creation
flat_lons = lons.flatten()
flat_lats = lats.flatten()
flat_brightness_temp = brightness_temp.flatten()

# Get the time information from the metadata
start_time = ir108.attrs['start_time']
end_time = ir108.attrs['end_time']

# Create a DataFrame
df = pd.DataFrame({
    'latitude': flat_lats,
    'longitude': flat_lons,
    'brightness_temperature': flat_brightness_temp,
    'start_time': start_time,
    'end_time': end_time
})

# Display the DataFrame
print(df.head())

which gave me

 latitude  longitude  brightness_temperature          start_time  
0       0.0  41.500000                     NaN 2021-12-01 03:45:00   
1       0.0  41.500009                     NaN 2021-12-01 03:45:00   
2       0.0  41.500018                     NaN 2021-12-01 03:45:00   
3       0.0  41.500027                     NaN 2021-12-01 03:45:00   
4       0.0  41.500036                     NaN 2021-12-01 03:45:00   

             end_time  
0 2021-12-01 04:00:00  
1 2021-12-01 04:00:00  
2 2021-12-01 04:00:00  
3 2021-12-01 04:00:00  
4 2021-12-01 04:00:00  

Where am I doing it wrong? I am doing it for the first time and can’t figure it out.

I am uploading the file here. File link – .nat file