Result for 0BCCAAA9BAE032E860503F8991ADF67296695B7A

Query result

Key Value
FileName./usr/share/doc/python3-pyspectral/html/genindex.html
FileSize7057
MD58CCE317B304D828E8BB305A6856807A6
SHA-10BCCAAA9BAE032E860503F8991ADF67296695B7A
SHA-256533651A52E6273767D2F46C9E5197A8038FFFCC4A23EEE91057CDB8678AB4301
SSDEEP96:ALVQiljmz7MESyAw4jU/wuwYrOhvdCN9hMKMtD3sTXljmz71:Higf3AOrO7CNLMegf1
TLSHT134E10C81C0F4EC1B42B041556CA06A6D7E9AD16BDE053A48766D0CFF0F82B108F677DB
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize3521136
MD5779F513AEE1A6FAD331996873D03F904
PackageDescriptionReading 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.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython3-pyspectral-doc
PackageSectiondoc
PackageVersion0.10.4+ds-1
SHA-19779069BBC3C0BC805942D5DA50CF855A798D74E
SHA-2560D8252E3D38F47B77DBBA3C9064FA2A4B1C569DB670946EBF01B4A26F1F701D8
Key Value
FileSize3518344
MD510545D09B6213B79B20C52D18C9599C5
PackageDescriptionReading 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-pyspectral-doc
PackageSectiondoc
PackageVersion0.10.4+ds-1
SHA-107222F1B0CEE9136A262049976820DF1A3BE2849
SHA-256D39B7806271FDF5CDD47145887A8D4DD4B2D0952BFF2DF9302E1E9DA0DE6C076