How to Install and Uninstall pyspectral-bin Package on Ubuntu 21.10 (Impish Indri)
Last updated: November 06,2024
1. Install "pyspectral-bin" package
Please follow the step by step instructions below to install pyspectral-bin on Ubuntu 21.10 (Impish Indri)
$
sudo apt update
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$
sudo apt install
pyspectral-bin
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2. Uninstall "pyspectral-bin" package
Please follow the guidance below to uninstall pyspectral-bin on Ubuntu 21.10 (Impish Indri):
$
sudo apt remove
pyspectral-bin
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the pyspectral-bin package on Ubuntu 21.10 (Impish Indri)
Package: pyspectral-bin
Architecture: all
Version: 0.10.4+ds-1
Priority: optional
Section: universe/utils
Source: pyspectral
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian GIS Project
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 33
Depends: python3-pyspectral (= 0.10.4+ds-1), python3:any
Suggests: python3-pyspectral-doc
Filename: pool/universe/p/pyspectral/pyspectral-bin_0.10.4+ds-1_all.deb
Size: 8412
MD5sum: dd640845c0ab6cf5205a7ae28a8b9bd1
SHA1: 92e8234f0399814f4fd2b828e65862a97f180ec4
SHA256: 32d69aad075ae2643a81f9b74976b3c08427d26d44d8df93f3f3a85bb3df6337
SHA512: aa88ce34e16ab8ee805b6099a6820dfd01f5d27bbf3850f6e645dafbfab6d7a1f306564a508007be2d29e3aa5d6445f36c8bac50fb3d592c6b8dc1d68f466812
Homepage: https://github.com/pytroll/pyspectral
Description-en: Reading and manipulaing satellite sensor spectral responses - scripts
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 provides utilities and executable scripts.
Description-md5: 5912b3a659ab08c2afac2d260bf385cd
Architecture: all
Version: 0.10.4+ds-1
Priority: optional
Section: universe/utils
Source: pyspectral
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian GIS Project
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 33
Depends: python3-pyspectral (= 0.10.4+ds-1), python3:any
Suggests: python3-pyspectral-doc
Filename: pool/universe/p/pyspectral/pyspectral-bin_0.10.4+ds-1_all.deb
Size: 8412
MD5sum: dd640845c0ab6cf5205a7ae28a8b9bd1
SHA1: 92e8234f0399814f4fd2b828e65862a97f180ec4
SHA256: 32d69aad075ae2643a81f9b74976b3c08427d26d44d8df93f3f3a85bb3df6337
SHA512: aa88ce34e16ab8ee805b6099a6820dfd01f5d27bbf3850f6e645dafbfab6d7a1f306564a508007be2d29e3aa5d6445f36c8bac50fb3d592c6b8dc1d68f466812
Homepage: https://github.com/pytroll/pyspectral
Description-en: Reading and manipulaing satellite sensor spectral responses - scripts
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 provides utilities and executable scripts.
Description-md5: 5912b3a659ab08c2afac2d260bf385cd