Metadata-Version: 2.1
Name: geeViz
Version: 2022.7.2
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
Description: # 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 withing 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
        
        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, 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.
        
        
Keywords: earthengine google remote sensing landsat sentinel modis forestry forest
Platform: UNKNOWN
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
