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Hi Sean,

Thanks for your solutions, it is what I want to do. Because I need to generate many products from one whole granule imagery to further process using my programs so that I must consider the disk space in a big ROI.

This XML file works perfectly!:grin:

Thank you again!

Regards,
Zhigang

Thanks, George. I did use the HDF5 and the file includes the Rrs, rhos, and view geometries. I will try to use NetCDF.

Thank you, again!

Regards,
Zhigang

Hi all,I am looking for a solution to reduce the file size when I process the MODIS data using l2gen. As you know, one whole granule of MODIS L2 data including the Rrs at all wavelengths is about 500M or even more, so that a long-time series requires a big space to store them. I am wondering whether...

Hi Jun,

You may try to use the Mosaic tool via gpt.sh, it is able to generate images with the same sizes. A GPT Cookbook including Mosaic can be found in SeaDAS help document.

Regards,
Zhigang

Thanks, Rakesh. I will try it, and I do believe that it can avoid the Chl_hu problem.
But, there are also some problems for Rayleigh-Luts of L7ETM, which results in uncorrect Lr (for example, Lr>Lt).
Maybe, for this problem, we should expect the next release of SeaDAS.:grin:

Best Regards,
Zhigang

you can try l2bin and l3mapgen.

Hi Don,Exactly. after all, the landsat 5 and landsat 7 is not very suitable for the ocean color, and I just wanna test these two bundles.:grin:Also, the values of rhos_478 and rhos_560 derived the landsat 7 were negative for my tested images (LE07_L1TP_119038_20181216_20190111_01_T1 and LE07_L1TP_11...

Try to use source ~/.bashrc and test the l2gen in terminal, if it is okay, python should work as well.

Dear all,I tried used the atmocor=0 to disable the atmospheric correction to evoid the bands problem of chl_hu before, finnaly, the l2gen did work for the l5tm and l7etmp. [l2gen ifile=LT05_L1TP_026027_20111022_20160830_01_T1_MTL.txt ofile=test.nc atmocor=0 l2prod="rhos_vvv Rrs_vvv" north=...

Greetings,I have been trying used the l7etm bundle to process L7ETM+ data in Ubuntu 18.04, however the program always throws an exception:....Aerosol selection bands 835 and 2205Loading aerosol models from /home/zgcao/seadas-7.5.1/ocssw/share/l7empm/aerosol/aerosol_l7etmpNumber of Wavelengths  ...