Wolfram Cloud Resource Object

Paclet Resource

DiegoZviovich/GEE

Wolfram Language client for the Google Earth Engine REST API v1

Contributed By: Diego Zviovich

Tools for authenticating with Google Earth Engine, retrieving satellite imagery, querying pixel and feature data, and rendering geographic visualizations using the GEE REST API v1.

Installation Instructions

To install this paclet in your Wolfram Language environment, evaluate this code:
PacletInstall[ResourceObject["https://wolfr.am/1E4DSMFmm"]]


To load the code after installation, evaluate this code:
Needs["DiegoZviovich`GEE`"]

Details

This paclet allows the user to access more than 80 petabytes of satellite imagery, climate records, terrain models, land-cover classifications, and vector datasets. Through this paclet you can.
Retrieve pixels for any region of any raster dataset, with server-side filtering, compositing, and visualization applied before download.
Query point values at arbitrary coordinates without downloading an entire scene.
Query vector features from tables such as administrative boundaries, protected areas, and census geographies.
Compute statistics by reducing images over regions -- mean elevation across a watershed, total forest area in a country, or median reflectance over a growing season.
Build complex pipelines that chain filtering, band math, masking, compositing, and reduction -- all evaluated server-side.

Examples

Disclosures

  • External services

Paclet Source

Source Metadata

  • Citation: {Google Earth Engine}