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Thank you for your advice. Sorry for not stating my OS. I am using the latest Ubuntu 22.04 LTS version. I am a novice linux user and this problem has not been solved yet. I found that the rpc.h file exists in the folder shown, but it doesn't seem to be retrieved. $:ls /usr/include/tirpc/rpc auth_de...

Using a fixed upper limit doesn't handle all the implausible pixels (e.g., a cloud edge pixel value outside the plausible range for the time and location). You can apply filters on individual level-2 images to identify pixels with value well outside the range of values for neighboring pixels. You ma...

It is worth mentioning that the Climate Data Operators ( https://code.mpimet.mpg.de/projects/cdo ) allow you to add time to OBPG netcdf level-3 files and merge them into a single file in batch processing. CDO is available on Windows using Cygwin64, from anaconda.org for linux and macOS, and as packa...

You don't mention your OS, so I can only offer general advice: use your system's package management tools to find the package that provides the rpc.h file. Over the years there have been changes to the package names. For linux, https://sourceware.org/pipermail/libc-announce/2020/000029.html mentions...

I have tried many of the suggestions within this thread, however, I am still getting: ModuleNotFoundError: No module named 'requests' when trying to install the hico processor from the GUI. I am running macOS Big Sur V11.7 You should provide enough detail so others can reproduce the problem. I assu...

NetCDF4-CF has good metadata support and supports internal compression. BEAM DIMAP is useful as an intermediate format when subsequent processing will be done using SNAP or SeaDAS 8, but is not as well supported by 3rd party software and does not support internal compression. Modern CPU's do interna...

ESA SNAP snappy uses the jpy java-python bridge and can map MODIS level-2 files, but the mapped data will be a Java object so there is consierable overhead if you want the mapped data in Python. For native Python with MODIS data: https://python-geotiepoints.readthedocs.io/en/latest/#example-aqua-ter...

Hello, I have just installed SeaDAS 8.2 on Ubuntu 18.04 But when I run it, I have a fatal error message like below: # # A fatal error has been detected by the Java Runtime Environment: # # SIGSEGV (0xb) at pc=0x00007f34d2b72db9, pid=7643, tid=0x00007f343cc77700 # # JRE version: Java(TM) SE Runtime ...

The problem I'm running into here is that the MODIS product MOD35_L2 isn't an easy binary mask, the actual cloud mask is a 48-bit band that is kind of tricky to work with, so it doesn't even show up in the "Bands" section of its product. Show single flags isn't an option for this product ...

[...] The simplest solution is to append that python path to your sys.path list. In your notebook, first try: import sys sys.path.append('my/path/to/module/folder') The popularity of Python means there are more and more clashes between very different libraires with the same name as well as multiple...