Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	12108
MD5	BD7B4A3E991A085618567D882A514BCB
PackageDescription	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. . 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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	pyspectral-bin
PackageSection	utils
PackageVersion	0.10.5+ds-1
SHA-1	DCB4C93EB3E502E3E55C675F4113A757EEED247F
SHA-256	866CE8AC9677A5A2ED47B4F5CC3C4363948A6F6EC1831B36F163FADAD16AEA59

Key	Value
FileSize	11980
MD5	A3BEB38284BEEECBBDACAFA766A0DF34
PackageDescription	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. . 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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	pyspectral-bin
PackageSection	utils
PackageVersion	0.10.4+ds-1
SHA-1	3EC59C51C3BF7087DCD9AA26077CB4F395AFA853
SHA-256	26E94429E2D1CA216876E51413D2A58DCAF8751E63752EFBB9BDF0964225124E

Key	Value
FileSize	8412
MD5	DD640845C0AB6CF5205A7AE28A8B9BD1
PackageDescription	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. . 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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	pyspectral-bin
PackageSection	utils
PackageVersion	0.10.4+ds-1
SHA-1	92E8234F0399814F4FD2B828E65862A97F180EC4
SHA-256	32D69AAD075AE2643A81F9B74976B3C08427D26D44D8DF93F3F3A85BB3DF6337