Welcome to sql2gee’s documentation!

The sql2gee library is designed to convert SQL (and Postgis)-like queries into commands to be executed on Google’s Earth Engine, using their Python API.

This library allows you to create SQL queries against either vector data or rasters: If you desire vector data, you may use Google’s Fusion Tables as a data source (SQL TABLE argument) provided it has geo-spatial data (e.g. ft:1qpKIcYQMBsXLA9RLWCaV9D0Hus2cMQHhI-ViKHo). If raster (image) data is desired, you may use any Image resource from the Earth Engine data catalogue.

Contents:

• Installation
• Supported SQL and Postgis Syntax
• Tutorial
  • Loading and Authenticating
  • Simple Queries to Fusion Table data
  • Restricting Queries from Fusion Table data
  • Operations on Image Data
  • Area restriction of rasters via geojson
• Detailed Examples of SQL2GEE’s use
  • Finding forest-loss statistics between 2001 - 2015
• The sql2gee Package
  • Submodules
  • sql2gee.sql2gee module
• Support

Indices and tables

• Index
• Module Index
• Search Page