Google Earth Engine Tutorial

This module provides a hands-on introduction to acquiring high-resolution remote sensing data using Google Earth Engine (GEE) through Python integration in RStudio. Participants execute scripted workflows to download Sentinel-2 multispectral imagery and NAIP aerial photography, generating analysis-ready GeoTIFF datasets for digital soil mapping applications. The material emphasizes reproducible data pipelines, proper environment configuration, and efficient data management practices. By the end of the exercise, users produce structured raster datasets capturing spectral information, vegetation indices, and temporal summaries suitable for building environmental covariate stacks and machine learning soil models.