Result for 2619E952EEC553263887F8AF0FAC3EE5202B1F01

Query result

Key Value
FileName./usr/share/doc/python3-pyspectral/html/_static/sun-satellite-viewing.png
FileSize36583
MD5BBC30CD3DD41D428BCA4C94D85B21AD7
SHA-12619E952EEC553263887F8AF0FAC3EE5202B1F01
SHA-25612FE27AB9AE9715A0BF3A3FF425B48051A2AB737549E13650C9963FC2DF4F2C9
SSDEEP768:O9PvAh4ngeL0IqFbutYyiyejJZI6gzbomEIw14qnIBKwOUCfO:O9PytlFb9yh2ZIJzQ914qnIBPOU7
TLSHT154F2E12EC11990F9DF8EC745D86271C8717F782F22684E31E4D1E5A4C3A47DBA286A3D
hashlookup:parent-total6
hashlookup:trust80

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Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

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
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
FileSize3519640
MD50EAEE677767AAEC82ED37F64E1A5A5C5
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
PackageVersion0.10.0+ds-1
SHA-112E36C082507975B190A3FAC574BFFCE783ACEB7
SHA-2568846BD56191A887312CA38DDC41417B65A14DF75F3B4A34962C8EC39A1CFFAF8
Key Value
FileSize3523364
MD5CB1911294AF0C65ECDD594BBF502BF2C
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
PackageVersion0.9.5+ds-1
SHA-1F61CB72C7D632608CE97620655AF2224E0181A21
SHA-256567BE85DFAC42219A15E6A697CD8A6B88E08B0B344564A51AF08ECA88B18C07C
Key Value
FileSize3521244
MD5A3D4439D87CC75C9040BEEC0191FCF61
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
PackageVersion0.10.5+ds-1
SHA-1413637B5202A91F2DBD7117960177AAE49F347E9
SHA-256221D5CEE8D843E5B75C71785A421245B3BAB69B888A75C1B476CC83DFD765A9B
Key Value
FileSize3521064
MD570537B2CB2E49B453C320DB3A588168A
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
PackageVersion0.8.6+ds-1
SHA-193E14ED6D2854637264AE7C5E0EFD8EDD1DFAFF3
SHA-25677D5CEA5BFD2D5CC29870F325BD2BEDF42C6925623354949FFCC125190AC4C62