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

Last updated: January 11,2025

1. Install "python3-pyspectral" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python3-pyspectral
            
                    
    
    Copied

2. Uninstall "python3-pyspectral" package

Please follow the step by step instructions below to uninstall python3-pyspectral on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python3-pyspectral
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: python3-pyspectral
Source: pyspectral
Version: 0.13.0+ds-1
Installed-Size: 1048
Maintainer: Debian GIS Project
Architecture: all
Depends: python3-appdirs, python3-dask, python3-geotiepoints, python3-h5py, python3-requests, python3-scipy, python3-yaml, python3-docutils, python3-numpy, python3:any
Recommends: python3-matplotlib, python3-tqdm
Suggests: python3-pandas, python3-pyspectral-doc, python3-trollsift, python3-xlrd
Size: 200020
SHA256: 57177ebc5b6f39308a51f71fa6fc489dc9bc3762303e06a98123daa1ba1ddccb
SHA1: 417d9fb15ac5d083ed1f5b69fba89c40d31c5734
MD5sum: a5255b4c9ffde309176e26cff1b789e7
Description: 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:
Homepage: https://github.com/pytroll/pyspectral
Section: python
Priority: optional
Filename: pool/main/p/pyspectral/python3-pyspectral_0.13.0+ds-1_all.deb