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

Last updated: May 13,2024

1. Install "pyspectral-bin" package

Please follow the guidance below to install pyspectral-bin on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                pyspectral-bin
            
                    
    
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2. Uninstall "pyspectral-bin" package

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


    
        
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                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 Kali Linux

Package: pyspectral-bin
Source: pyspectral
Version: 0.13.0+ds-1
Installed-Size: 39
Maintainer: Debian GIS Project
Architecture: all
Depends: python3-pyspectral (= 0.13.0+ds-1), python3:any
Suggests: python3-pyspectral-doc
Size: 14192
SHA256: 9eb2fdfe788cd30be7aa353bfb54303440c19cf134f5510e8022ac0f34807798
SHA1: 3f80cf0b2be39ed70836a6e8c1a498c2dcd9dfcd
MD5sum: 83b5656bbffba8fc520fe2f02d8b6c11
Description: 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.
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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:
Homepage: https://github.com/pytroll/pyspectral
Section: utils
Priority: optional
Filename: pool/main/p/pyspectral/pyspectral-bin_0.13.0+ds-1_all.deb