geeviz 2022.4.1

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

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 internal Forest Service GitHub instance Or within the GEE Community Repository

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

Primary POCs

Ian Housman- [e-mail]

Leah Campbell- [e-mail]

Bonnie Ruefenacht- [e-mail]

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, upgrade via PIP (pip install geeViz --upgrade) or 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)

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 timeLapseExample
  • from geeViz.examples import getLandsatWrapper
  • from geeViz.examples import getSentinel2Wrapper
  • from geeViz.examples import getCombinedLandsatSentinel2Wrapper
  • from geeViz.examples import harmonicRegressionWrapper
  • from geeViz.examples import LANDTRENDRWrapper
  • from geeViz.examples import CCDCViz
  • from geeViz.examples import lcmsViewerExample
  • from geeViz.examples import phEEnoVizWrapper

• These examples are a great way of getting started. In order to use them for your work, go to you Python site-packages folder PythonNN\Lib\site-packages\geeViz

• There are several notebook eamples also available. These are very similar to their script counterparts, but are better for learning how to use the tool.

• 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 you have a great piece of GEE code to share, please contact a POC listed above.