Skip to main content

An InSAR postprocessing tool

Project description

decorrelation

Documentation

InSAR postprocessing tool

Install

With conda:

conda install -c conda-forge decorrelation

With pip:

pip install decorrelation

In development mode:

git clone git@github.com:kanglcn/decorrelation.git ./decorrelation
cd ./decorrelation
pip install -e '.[dev]'

How to use

import decorrelation as dc
ModuleNotFoundError: No module named 'decorrelation'

Please refer to the Documentation for detailed usage.

Contact us

  • Most discussion happens on GitHub. Feel free to open an issue or comment on any open issue or pull request.
  • use github discussions to ask questions or leave comments.

Contribution

  • Pull requests are welcomed! Before making a pull request, please open an issue to talk about it.
  • We have notice many excellent open-source packages are rarely paid attention to due to lake of documentation. The package is developed with the nbdev, a notebook-driven development platform. Developers only needs to simply write notebooks with lightweight markup and get high-quality documentation, tests, continuous integration, and packaging automatically.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

decorrelation-0.0.1.tar.gz (15.7 kB view details)

Uploaded Source

Built Distribution

decorrelation-0.0.1-py3-none-any.whl (14.8 kB view details)

Uploaded Python 3

File details

Details for the file decorrelation-0.0.1.tar.gz.

File metadata

  • Download URL: decorrelation-0.0.1.tar.gz
  • Upload date:
  • Size: 15.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for decorrelation-0.0.1.tar.gz
Algorithm Hash digest
SHA256 10459b96f1b53c62b38433a4fec2330b9cb06b182cd379f1273080bf2a7ef23c
MD5 959b8c0719792677e3c392144acb8d8c
BLAKE2b-256 ec91d6894ee370a249d094504d6272aff48b47db418db18d96d34a6a0527c042

See more details on using hashes here.

File details

Details for the file decorrelation-0.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for decorrelation-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d671f5373a954d72243738f426372cbcede15710ddd0d1816ceff830b382f284
MD5 a940c01cfc87d0c984abc73fbd42b63f
BLAKE2b-256 f44fc01dbd2cf83b72b7aeb44845675777a9ad3160a4c4a23fbf8c31254811ec

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page