Result for 063F619682CDE281A56BEF65AE1BB42DE967E18A

Query result

Key Value
FileName./usr/share/doc/python3-pyspectral/html/api.html
FileSize16872
MD58E185948E763403D4958BA0EFE7F5DD4
SHA-1063F619682CDE281A56BEF65AE1BB42DE967E18A
SHA-256D1A4FDBEDE586689AFA03A48B6424F532A1917EF0E15E2C66FA49D0F295E4547
SSDEEP192:C8+g5fkkcTjjpoKNmHiqHsZmWaslVRCeuG+BOr9I9IOw/QZMMO8QZMHO3RcUXMhd:b5OjdtNaIjVRRuxscOoOLMiN7oHNtH
TLSHT1BD723151D5F22637463392DE82B50776B0EA804BE9000849BAFC5BFE4BC9D84BE57D1B
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