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	3521064
MD5	70537B2CB2E49B453C320DB3A588168A
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	0.8.6+ds-1
SHA-1	93E14ED6D2854637264AE7C5E0EFD8EDD1DFAFF3
SHA-256	77D5CEA5BFD2D5CC29870F325BD2BEDF42C6925623354949FFCC125190AC4C62

Key	Value
FileSize	173500
MD5	27743AC76F88459F8894AB50C277942D
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	0.8.6+ds-1
SHA-1	754B980D8FDCD6623D9813C6F79D8F5BBA9E88E0
SHA-256	27F302C7AD006FD8E69FB9141CFE2CF91AF330957D1A9552EA2B1065DEE13CB2

Key	Value
FileSize	9148
MD5	A9F052FEB7A924828A9BAFC4132A6DDF
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	0.8.6+ds-1
SHA-1	4ECE11A3DD1DE32D64D6A0215FCE1C815CCC3F57
SHA-256	8DA36BF14211E77A39DD2CB2B4CF41D4113FCE7ECE8682C556DFB88B452E4C31