Metadata-Version: 2.1
Name: geeViz
Version: 2023.3.1
Summary: A package to help with GEE data processing, analysis, and visualization
Home-page: https://github.com/gee-community/geeViz
Author: Ian Housman
Author-email: ian.housman@gmail.com
License: Apache
Keywords: earthengine google remote sensing landsat sentinel modis forestry forest
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 4 - Beta
Description-Content-Type: text/markdown
License-File: LICENSE

# GTAC GEE Visualization Python Modules
> A repository of GEE Python code modules for general data processing, analysis, and visualization

> [Can be accessed from the GEE Community Repository](https://github.com/gee-community/geeViz)
> [Or within the internal Forest Service GitHub instance](https://code.fs.usda.gov/forest-service/geeViz)
> 
> [A javaScript equivalent can be accessed in the GEE Playground](https://earthengine.googlesource.com/users/aaronkamoske/GTAC-Modules)
> [on GitHub](https://github.com/rcr-usfs/gtac-rcr-gee-js-modules.git)
> [Or within the Forest Service GitHub instance](https://code.fs.usda.gov/forest-service/gtac-gee-js-modules.git)

## Primary POCs

Ian Housman- ian.housman@usda.gov

Josh Heyer- joshua.heyer@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, 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 LANDTRENDRViz`
	* `from geeViz.examples import CCDCViz`
	* `from geeViz.examples import lcmsViewerExample`
	* `from geeViz.examples import LCMAP_and_LCMS_Viewer`
	* `from geeViz.examples import phEEnoVizWrapper`
	* `from geeViz.examples import LANDTRENDRViz`
	* `from geeViz.examples import GFSTimeLapse`

* 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.

