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	8396
MD5	97013CF0ED49337D88DCA511D29AB08E
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	0.10.0+ds-1
SHA-1	F5FE84DA7C6EAA077C6FC6C911191FDFAB191353
SHA-256	8C6657E6DFCF953FE5B0573EC936EAA02C87C423CDBB59EE7B5F51BB9DE30D9C

Key	Value
FileSize	185880
MD5	0916E097D0356A42C436CE0966AF9955
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-pyspectral
PackageSection	python
PackageVersion	0.10.0+ds-1
SHA-1	6360BE7F1423D6E8D9DDCC4228F466C8D3B82019
SHA-256	CDE1AD967F6C32FA2A11F150B174E8D812AE262A842DE45BB9B62624B1C31174

Key	Value
FileSize	3519640
MD5	0EAEE677767AAEC82ED37F64E1A5A5C5
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-pyspectral-doc
PackageSection	doc
PackageVersion	0.10.0+ds-1
SHA-1	12E36C082507975B190A3FAC574BFFCE783ACEB7
SHA-256	8846BD56191A887312CA38DDC41417B65A14DF75F3B4A34962C8EC39A1CFFAF8