Ubuntu
pyspectral package

pyspectral 0.9.5+ds-1 source package in Ubuntu

Changelog

pyspectral (0.9.5+ds-1) unstable; urgency=medium

  * New upstream release.
  * Bump Standards-Version to 4.5.0, no changes.

 -- Antonio Valentino <email address hidden>  Wed, 05 Feb 2020 07:15:56 +0000

Upload details

Uploaded by:
Debian GIS Project
Uploaded to:
Sid
Original maintainer:
Debian GIS Project
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Focal release universe misc

Builds

Focal: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
pyspectral_0.9.5+ds-1.dsc 2.4 KiB 70e16a2cdcf9429947d7d4989871accca8e76068a79e4dcc26e407ae4fc058d4
pyspectral_0.9.5+ds.orig.tar.xz 3.4 MiB db96fff1a60d07f6171564ce42fc457ed1dffe467159dd573ed45d5619575fe7
pyspectral_0.9.5+ds-1.debian.tar.xz 115.8 KiB ee8a73a0652f24667562dd330624dfc1802d193526e863287da52946906ea443

Available diffs

No changes file available.

Binary packages built by this source

pyspectral-bin: No summary available for pyspectral-bin in ubuntu groovy.

No description available for pyspectral-bin in ubuntu groovy.

python3-pyspectral: 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.

python3-pyspectral-doc: No summary available for python3-pyspectral-doc in ubuntu groovy.

No description available for python3-pyspectral-doc in ubuntu groovy.