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	3521244
MD5	A3D4439D87CC75C9040BEEC0191FCF61
PackageDescription	Reading 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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python3-pyspectral-doc
PackageSection	doc
PackageVersion	0.10.5+ds-1
SHA-1	413637B5202A91F2DBD7117960177AAE49F347E9
SHA-256	221D5CEE8D843E5B75C71785A421245B3BAB69B888A75C1B476CC83DFD765A9B

Key	Value
FileSize	192076
MD5	C57211383ED1B11A34E937A3EE38A64D
PackageDescription	Reading and manipulaing satellite sensor spectral responses 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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python3-pyspectral
PackageSection	python
PackageVersion	0.10.5+ds-1
SHA-1	79607BD5837F39F11192AA60417F5A0A8386EB56
SHA-256	BB8540AD728FAC51DCDDD050B0407F6298A39193D472C7BA325F167AD9D4B7CE

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