How to Use Google Earth Engine and Python API to Export Images to Roboflow
Blog post from Roboflow
Google Earth Engine, a potent tool for geographic data analysis, is utilized by machine learning experts to examine physical attributes and patterns in various fields such as forestry and weather. Despite its capabilities, there is limited documentation on using its Python API. The process to access and use Google Earth Engine involves authenticating with Google Earth and Google Drive, accessing the built-in IDE or Python API, and understanding the structure of satellite and aerial photographs that compose Google Earth. The guide provides a step-by-step methodology to export images of Des Moines, Iowa, from the Sentinel-2 satellite, focusing on selecting the least cloudy images from 2020 and exporting specific regions to Google Drive. By following the provided notebook and instructions, users can generate and export satellite images ready for use in Roboflow, a platform for building computer vision models.