Skip to main content

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

geeViz is a powerful tool for exploring and analyzing Earth observation data like Landsat images within Google Earth Engine. It simplifies complex Earth Engine code into user-friendly Python functions.

Can be accessed from the GEE Community Repository > Or within the internal Forest Service GitHub instance

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

Primary POCs

Ian Housman- ian.housman@usda.gov

Josh Heyer- joshua.heyer@usda.gov

Bonnie Ruefenacht- bonnie.ruefenacht@usda.gov

Documentation (in progress)

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.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

geeviz-2025.1.5.tar.gz (1.6 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

geeviz-2025.1.5-py3-none-any.whl (1.7 MB view details)

Uploaded Python 3

File details

Details for the file geeviz-2025.1.5.tar.gz.

File metadata

  • Download URL: geeviz-2025.1.5.tar.gz
  • Upload date:
  • Size: 1.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for geeviz-2025.1.5.tar.gz
Algorithm Hash digest
SHA256 a0a440950b99dbda709d4461ea794a4b1e1ec458f33e22d3160d2ef0877d0f75
MD5 7a3a83015ccb3fce32b4cd4e3c489210
BLAKE2b-256 53ad6768cb564c5a336590bd1e853e918518232d652fa9cd489381753a102a5f

See more details on using hashes here.

File details

Details for the file geeviz-2025.1.5-py3-none-any.whl.

File metadata

  • Download URL: geeviz-2025.1.5-py3-none-any.whl
  • Upload date:
  • Size: 1.7 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for geeviz-2025.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 f24d55f9e654116cd9fd898aa91d0cddc56e7bcd7b1ab8cd57d5f02e1b177f71
MD5 63ea7ca51162848a75e6dc5302d5c961
BLAKE2b-256 7a45afed193a92473933ab67fdc02c9bbef474c413c420914bf8f4053b5592c2

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page