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A package to help with GEE data processing, analysis, and visualization

Project description

#GTAC GEE Visualization Python Modules

A repository of GEE Python code modules for general data processing, analysis, and visualization

Can be accessed in GitHub Or within the Forest Service GitHub instance

A javaScript equivalent can be accessed in the GEE Playground on GitHub Or withing the Forest Service GitHub instance

Primary POCs

Ian Housman- ian.housman@usda.gov

Leah Campbell- leah.campbell@usda.gov

Bonnie Ruefenacht- bonnie.ruefenacht@usda.gov

Installing

  1. Become a trusted Google Earth Engine (GEE) tester (https://signup.earthengine.google.com/#!/)

  2. Install package using pip (pip install geeViz) folder

  3. Authenticate using the GEE cli in a cmd prompt (earthengine authenticate)

  4. You can also install with git. If installing this way, first install the Python GEE package (pip install earthengine-api)

  5. Then clone this repository (git clone https://github.com/rcr-usfs/geeViz) into your Python's site-packages

  6. To stay up to date, pull the latest commit (git pull origin master)

  7. This repository is also available within the FS gitHub instance (https://code.fs.usda.gov/forest-service/geeViz)

    • To add this instance to your local git instance execute remote add https://code.fs.usda.gov/forest-service/geeViz in a git bash
    • Now you can pull the latest from your origin (git pull origin master) or github (git pull github master)

Using

  • Several examples are available within the examples module to help you get started. To test, enter the following command within the Python build you installed geeViz in:

    • from geeViz.examples import geeViewExample
  • Other examples are:

    • from geeViz.examples import getLandsatWrapper
    • from geeViz.examples import getSentinel2Wrapper
    • from geeViz.examples import harmonicRegressionWrapper
    • from geeViz.examples import LANDTRENDRWrapper
  • When these examples are run, a viewer should open in your default browser. It will show any data that was added to the map.

  • Layers can be toggled on/off and opacity changed. They can also be measured and queried under the TOOLS pane.

Contributing

  1. If contributing, contact a POC
  2. Install git locally (https://git-scm.com/download/win)
  3. Make sure you have the latest commit (git pull origin master)
  4. Create and checkout a new branch (`git checkout -b branchName')
  5. Make your changes
  6. Add your changes (git add .)
  7. Commit your changes (git commit -m 'Add some fooBar')
  8. Push to the branch (git push origin branchName)

Project details


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Files for geeViz, version 2020.1.5
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