How to Install and Uninstall python3-pyspectral Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 17,2024

1. Install "python3-pyspectral" package

Please follow the guidance below to install python3-pyspectral on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install python3-pyspectral

2. Uninstall "python3-pyspectral" package

Please follow the step by step instructions below to uninstall python3-pyspectral on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove python3-pyspectral $ sudo apt autoclean && sudo apt autoremove

3. Information about the python3-pyspectral package on Ubuntu 21.10 (Impish Indri)

Package: python3-pyspectral
Architecture: all
Version: 0.10.4+ds-1
Priority: optional
Section: universe/python
Source: pyspectral
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian GIS Project
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1007
Depends: python3-appdirs, python3-dask, python3-geotiepoints, python3-h5py, python3-numpy, python3-requests, python3-scipy, python3-six, python3-yaml, python3-docutils, python3-h5py-serial, python3:any
Recommends: python3-matplotlib, python3-tqdm
Suggests: python3-pandas, python3-pyspectral-doc, python3-trollsift, python3-xlrd
Filename: pool/universe/p/pyspectral/python3-pyspectral_0.10.4+ds-1_all.deb
Size: 188328
MD5sum: 1e6c02edc007b0edf0c30e05c4ad4fc9
SHA1: 4f17c5dd51efddce7750d01d3442b066b7ccc448
SHA256: f7123a82bec388c49e7c0a6f7681f1d1abb885e9d0753e067f146616d6aaad43
SHA512: e4187742848589540b33af0e9c2052bf448582c24456a07b6e1341d8ef5b017c3d28fc853dd03b1b2375e36423e2fec417c928d69383f21cefe5eac2552d028a
Homepage: https://github.com/pytroll/pyspectral
Description-en: Reading and manipulaing satellite sensor spectral responses
Reading and manipulaing satellite sensor spectral responses and the
solar spectrum, to perform various corrections to VIS and NIR band data.
.
Given a passive sensor on a meteorological satellite PySpectral
provides the relative spectral response (rsr) function(s) and offer
some basic operations like convolution with the solar spectrum to
derive the in band solar flux, for instance.
.
The focus is on imaging sensors like AVHRR, VIIRS, MODIS, ABI, AHI,
OLCI and SEVIRI. But more sensors are included and if others are
needed they can be easily added. With PySpectral it is possible to
derive the reflective and emissive parts of the signal observed in any
NIR band around 3-4 microns where both passive terrestrial emission
and solar backscatter mix the information received by the satellite.
Furthermore PySpectral allows correcting true color imagery for the
background (climatological) atmospheric signal due to Rayleigh
scattering of molecules, absorption by atmospheric gases and aerosols,
and Mie scattering of aerosols.
Description-md5: 9d7e2a3a66a7d34f9db7adde61193bac