which l3mapgen projection
Posted: Tue Jun 25, 2019 11:39 pm America/New_York
Hi,
I did L2 to L3 processing (using l3mapgen) but I noticed that the pixel coordinates interval step is not the same/exact (well, they are up to four or five decimal points). For example:
Latitudes Step size Longitudes Step size
-10.005208 -0.01041700 142.005203 0.0104220
-10.015625 -0.01041600 142.015625 0.0104060
-10.026041 -0.01041700 142.026031 0.0104220
-10.036458 -0.01041700 142.036453 0.0104220
-10.046875 -0.01041600 142.046875 0.0104060
-10.057291 -0.01041700 142.057281 0.0104220
-10.067708 -0.01041700 142.067703 0.0104220
I used the command below with smi projection:
p4 = subprocess.Popen(['l3mapgen',
'ifile=' + l3bfile,
'ofile=' + l3mfile,
'oformat=' + 'netcdf4',
'oformat2=' + 'png',
'product=' + l3bprod,
'resolution=' + '1km',
'projection=' + 'smi',
'interp=' + 'nearest',
'west=' + '142.0',
'east=' + '156.0',
'north=' + '-10.0',
'south=' + '-26.0',
'apply_pal=' + 'yes',
'palfile=' + 'universal_bluered',
'scale_type=' + 'log',
'datamin=' + '0.01',
'datamax=' + '20.0'])
What projection should I use in l3mapgen so that I get equal distant pixels? This is important such that when I do some spatial analysis on my dataset that requires me to specify pixel interval, I will be able to specify one value for each along Latitude and Longitude and not lose a pixel in each direction because of the inconsistent pixel interval. Thank you in advance for your time and patience.
Cheers,
Tess
I did L2 to L3 processing (using l3mapgen) but I noticed that the pixel coordinates interval step is not the same/exact (well, they are up to four or five decimal points). For example:
Latitudes Step size Longitudes Step size
-10.005208 -0.01041700 142.005203 0.0104220
-10.015625 -0.01041600 142.015625 0.0104060
-10.026041 -0.01041700 142.026031 0.0104220
-10.036458 -0.01041700 142.036453 0.0104220
-10.046875 -0.01041600 142.046875 0.0104060
-10.057291 -0.01041700 142.057281 0.0104220
-10.067708 -0.01041700 142.067703 0.0104220
I used the command below with smi projection:
p4 = subprocess.Popen(['l3mapgen',
'ifile=' + l3bfile,
'ofile=' + l3mfile,
'oformat=' + 'netcdf4',
'oformat2=' + 'png',
'product=' + l3bprod,
'resolution=' + '1km',
'projection=' + 'smi',
'interp=' + 'nearest',
'west=' + '142.0',
'east=' + '156.0',
'north=' + '-10.0',
'south=' + '-26.0',
'apply_pal=' + 'yes',
'palfile=' + 'universal_bluered',
'scale_type=' + 'log',
'datamin=' + '0.01',
'datamax=' + '20.0'])
What projection should I use in l3mapgen so that I get equal distant pixels? This is important such that when I do some spatial analysis on my dataset that requires me to specify pixel interval, I will be able to specify one value for each along Latitude and Longitude and not lose a pixel in each direction because of the inconsistent pixel interval. Thank you in advance for your time and patience.
Cheers,
Tess