mintpy 1.4.1-1 source package in Ubuntu

Changelog

mintpy (1.4.1-1) unstable; urgency=medium

  * New upstream release.
  * Fix typo in d/upstream/matadata.

 -- Antonio Valentino <email address hidden>  Tue, 16 Aug 2022 07:27:05 +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

Builds

Kinetic: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
mintpy_1.4.1-1.dsc 2.5 KiB af5d7bf05602f30b1f9e8be22681a06756a737494f40f3077927903b1c7cf927
mintpy_1.4.1.orig.tar.gz 870.4 KiB 0d99b12057900bfed35e5a06d0f2c23a3ba3ffa72f188bfeb58a26d0b80e7586
mintpy_1.4.1-1.debian.tar.xz 16.8 KiB 87079c575f1c0f97e57ee8a491a14c2eaea228a92b89528729241a1dee10d438

Available diffs

No changes file available.

Binary packages built by this source

mintpy: Miami INsar Time-series software in PYthon -- scripts

 The Miami INsar Time-series software in PYthon (MintPy as /mInt paI/)
 is an open-source package for Interferometric Synthetic Aperture Radar
 (InSAR) time series analysis.
 It reads the stack of interferograms (coregistered and unwrapped) in
 ISCE, ARIA, FRInGE, HyP3, GMTSAR, SNAP, GAMMA or ROI_PAC format,
 and produces three dimensional (2D in space and 1D in time)
 ground surface displacement in line-of-sight direction.
 It includes a routine time series analysis (`smallbaselineApp.py`) and
 some independent toolbox.
 .
 This package contain executable programs provided by the MintPy Python
 package.

python-mintpy-doc: No summary available for python-mintpy-doc in ubuntu kinetic.

No description available for python-mintpy-doc in ubuntu kinetic.

python3-mintpy: Miami INsar Time-series software in PYthon

 The Miami INsar Time-series software in PYthon (MintPy as /mInt paI/)
 is an open-source package for Interferometric Synthetic Aperture Radar
 (InSAR) time series analysis.
 It reads the stack of interferograms (coregistered and unwrapped) in
 ISCE, ARIA, FRInGE, HyP3, GMTSAR, SNAP, GAMMA or ROI_PAC format,
 and produces three dimensional (2D in space and 1D in time)
 ground surface displacement in line-of-sight direction.
 It includes a routine time series analysis (`smallbaselineApp.py`) and
 some independent toolbox.