3. Using Earth Engine Data

3.1. Introduction

Google Earth Engine is an innovative cloud-computing platform for geospatial analysis. It is data types are very different from traditional data types handled by desktop software. In this chapter, we will introduce the fundamental Earth Engine data types for storing vector and raster data. Then, we will explore the Earth Engine Data Catalog and how to search Earth Engine datasets interactively within a Jupyter environment. We will also cover how to get image metadata and compute descriptive statistics. Lastly, we will learn how to convert Earth Engine JavaScript to Python automatically. At the end of this chapter, you should be comfortable accessing Earth Engine data in a Jupyter environment with geemap.

3.2. Technical requirements

To follow this chapter, you will need to install geemap and several optional dependencies. If you have followed Section 1.5 - Installing ge