How to Install and Uninstall python3-pyspectral-doc Package on Kali Linux

Last updated: May 02,2024

1. Install "python3-pyspectral-doc" package

This guide covers the steps necessary to install python3-pyspectral-doc on Kali Linux


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python3-pyspectral-doc
            
                    
    
    Copied

2. Uninstall "python3-pyspectral-doc" package

This is a short guide on how to uninstall python3-pyspectral-doc on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-pyspectral-doc
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-pyspectral-doc package on Kali Linux

Package: python3-pyspectral-doc
Source: pyspectral
Version: 0.13.0+ds-1
Installed-Size: 3922
Maintainer: Debian GIS Project
Architecture: all
Depends: libjs-sphinxdoc (>= 7.2.2)
Suggests: python3-pyspectral, www-browser
Size: 3534088
SHA256: fe8344e110cc8e3de407d0a7d7e89567f13e9504618863a8915300821d079f6b
SHA1: 7887381d1f855bfb889ebc8c8978e905f7116f52
MD5sum: 2cdf6a057ac4d3db5639e3e871946c3b
Description: 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:
Multi-Arch: foreign
Homepage: https://github.com/pytroll/pyspectral
Section: doc
Priority: optional
Filename: pool/main/p/pyspectral/python3-pyspectral-doc_0.13.0+ds-1_all.deb