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Classification and analysis of post-storm response imagery.

Project description

Post-Storm Imagery Classification

Travis-CI CodeCov ReadTheDocs PyUp

Classification and analysis of post-storm response imagery.

Documentation

Team Members

Instructor: Dr. Somya Mohanty
Mentor: Dr. Evan B. Goldstein

Contributions 🤝

Code of Conduct

We hope to foster an inclusive and respectful environment surrounding the contribution and discussion of our project. Make sure you understand our Code of Conduct.

Code Conventions

Before committing to the repository please read the project Code Conventions.

Beta Branch

Travis-CI CodeCov ReadTheDocs PyUp

Beta branch is the main place to submit new code.

Getting the Project Running 🏃‍

Project Pre-Requisites

  1. Python 3.6 or 3.7 (Download Here)
  2. Pipenv (Run pip install pipenv)

You will need these in order to run the project.

Installing Dependencies

  1. Change current directory (cd) to src/python/psic (inside the project, Poststorm_Imagery)
  2. Run pipenv install to install dependencies

Collecting Data

  1. Change current directory to the collector module (cd collector/)
  2. Either use pipenv run collect.py <args> or pipenv shell then collect.py <args>

The arguments for collect.py are listed here

Data Source 💾

  • NOAA landing page for the post-storm imagery, here
  • USGS landing page, here

Project details


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Files for psic, version 1.3.1
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Filename, size psic-1.3.1-py3-none-any.whl (27.6 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size psic-1.3.1.tar.gz (21.5 kB) File type Source Python version None Upload date Hashes View hashes

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