How to Install and Uninstall python3-pyspectral-doc Package on Ubuntu 21.10 (Impish Indri)
Last updated: November 25,2024
1. Install "python3-pyspectral-doc" package
Please follow the guidance below to install python3-pyspectral-doc on Ubuntu 21.10 (Impish Indri)
$
sudo apt update
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$
sudo apt install
python3-pyspectral-doc
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2. Uninstall "python3-pyspectral-doc" package
Learn how to uninstall python3-pyspectral-doc on Ubuntu 21.10 (Impish Indri):
$
sudo apt remove
python3-pyspectral-doc
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-pyspectral-doc package on Ubuntu 21.10 (Impish Indri)
Package: python3-pyspectral-doc
Architecture: all
Version: 0.10.4+ds-1
Multi-Arch: foreign
Priority: optional
Section: universe/doc
Source: pyspectral
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian GIS Project
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3807
Depends: libjs-sphinxdoc (>= 2.4.3-5~)
Suggests: python3-pyspectral, www-browser
Filename: pool/universe/p/pyspectral/python3-pyspectral-doc_0.10.4+ds-1_all.deb
Size: 3518344
MD5sum: 10545d09b6213b79b20c52d18c9599c5
SHA1: 07222f1b0cee9136a262049976820df1a3be2849
SHA256: d39b7806271fdf5cdd47145887a8d4dd4b2d0952bff2df9302e1e9da0de6c076
SHA512: 7a7ea07f4f785a7ffd85109bf92774efcb24be4c455cc40de98ff6a71d128e2e6fdc38821123c00c7bb01d9d9109bec009284d02cd77d39f4ce26311c6ae385b
Homepage: https://github.com/pytroll/pyspectral
Description-en: Reading and manipulaing satellite sensor spectral responses - documentation
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.
.
This package includes the PySpectral documentation in HTML format.
Description-md5: f5ae41b2a23eb6ceeb4d392528a57503
Architecture: all
Version: 0.10.4+ds-1
Multi-Arch: foreign
Priority: optional
Section: universe/doc
Source: pyspectral
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian GIS Project
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 3807
Depends: libjs-sphinxdoc (>= 2.4.3-5~)
Suggests: python3-pyspectral, www-browser
Filename: pool/universe/p/pyspectral/python3-pyspectral-doc_0.10.4+ds-1_all.deb
Size: 3518344
MD5sum: 10545d09b6213b79b20c52d18c9599c5
SHA1: 07222f1b0cee9136a262049976820df1a3be2849
SHA256: d39b7806271fdf5cdd47145887a8d4dd4b2d0952bff2df9302e1e9da0de6c076
SHA512: 7a7ea07f4f785a7ffd85109bf92774efcb24be4c455cc40de98ff6a71d128e2e6fdc38821123c00c7bb01d9d9109bec009284d02cd77d39f4ce26311c6ae385b
Homepage: https://github.com/pytroll/pyspectral
Description-en: Reading and manipulaing satellite sensor spectral responses - documentation
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.
.
This package includes the PySpectral documentation in HTML format.
Description-md5: f5ae41b2a23eb6ceeb4d392528a57503