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

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

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-2023.4.1.tar.gz (453.2 kB view details)

Uploaded Source

Built Distribution

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

geeViz-2023.4.1-py3-none-any.whl (487.7 kB view details)

Uploaded Python 3

File details

Details for the file geeViz-2023.4.1.tar.gz.

File metadata

  • Download URL: geeViz-2023.4.1.tar.gz
  • Upload date:
  • Size: 453.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.0

File hashes

Hashes for geeViz-2023.4.1.tar.gz
Algorithm Hash digest
SHA256 a590d0e364942784b067c41aa4e23249e89bc1c21e880a312c1d56b7fedec3b0
MD5 43550b733dca912e2422760389cae268
BLAKE2b-256 6e96d895beec0946378b2f09970b5d5f45673c6032ae61183ddad961762c5279

See more details on using hashes here.

File details

Details for the file geeViz-2023.4.1-py3-none-any.whl.

File metadata

  • Download URL: geeViz-2023.4.1-py3-none-any.whl
  • Upload date:
  • Size: 487.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.0

File hashes

Hashes for geeViz-2023.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 24a95234110d1e13d3f3119062eddf7e6ee2a5da6e635deecfd58efddaa8f658
MD5 52a6ba30a3803ceacf90d49d18cf6733
BLAKE2b-256 f2bf9a4f1b6c9351e3a26d748e2abd229777d0276c6f0e3959fe11355d4ea45f

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