Artifact pyspectral_0.13.5+ds-1

Metadata
dsc_fields:
  Architecture: all
  Binary: python3-pyspectral, python3-pyspectral-doc, pyspectral-bin
  Build-Depends: debhelper-compat (= 13), dh-python, dh-sequence-numpy3, dh-sequence-python3,
    dh-sequence-sphinxdoc, pybuild-plugin-pyproject, python3-all, python3-dask, python3-docutils,
    python3-geotiepoints, python3-h5py, python3-matplotlib, python3-numpy, python3-platformdirs,
    python3-pytest <!nocheck>, python3-requests, python3-responses, python3-trollsift,
    python3-scipy, python3-setuptools, python3-setuptools-scm, python3-sphinx <!nodoc>,
    python3-tqdm, python3-xarray, python3-xlrd, python3-yaml
  Checksums-Sha1:
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    sha1: 579797d55cb812e1b69f110b94f886bb7650907f
    size: '3616660'
  - name: pyspectral_0.13.5+ds-1.debian.tar.xz
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    size: '119564'
  Checksums-Sha256:
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  - name: pyspectral_0.13.5+ds-1.debian.tar.xz
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  Description: |-
    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.
  Files:
  - md5sum: 909952bcc24f971bfc3e916db3d2b5e9
    name: pyspectral_0.13.5+ds.orig.tar.xz
    size: '3616660'
  - md5sum: a7f2f530493ad17c53a0724f74cc2f66
    name: pyspectral_0.13.5+ds-1.debian.tar.xz
    size: '119564'
  Format: 3.0 (quilt)
  Homepage: https://github.com/pytroll/pyspectral
  Maintainer: Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
  Package-List: |2-

     pyspectral-bin deb utils optional arch=all
     python3-pyspectral deb python optional arch=all
     python3-pyspectral-doc deb doc optional arch=all
  Source: pyspectral
  Standards-Version: 4.7.0
  Testsuite: autopkgtest-pkg-pybuild
  Uploaders: Antonio Valentino <antonio.valentino@tiscali.it>
  Vcs-Browser: https://salsa.debian.org/debian-gis-team/pyspectral
  Vcs-Git: https://salsa.debian.org/debian-gis-team/pyspectral.git
  Version: 0.13.5+ds-1
name: pyspectral
type: dpkg
version: 0.13.5+ds-1

Files

Name Size (bytes)
pyspectral_0.13.5+ds-1.debian.tar.xz 116.8 KB
pyspectral_0.13.5+ds-1.dsc 3.7 KB
pyspectral_0.13.5+ds.orig.tar.xz 3.4 MB

Relations

Relation Direction Type Name
built-using Binary package pyspectral-bin_0.13.5+ds-1_all
built-using Binary package python3-pyspectral-doc_0.13.5+ds-1_all
built-using Binary package python3-pyspectral_0.13.5+ds-1_all

source package System mirror sid from https://deb.debian.org/debian - 3 weeks, 3 days ago 0 minutes
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