Introduction to Geospatial Data

Geospatial data plays a critical role in any aspect of our life. From network design to business management, from urban and environmental planning to disaster response and mitigation. Everything in today's “information age” is linked to geography. As a result, there is an increasing demand in today's job market for data scientists that know how to address spatial data. In this bootcamp, you will learn how satellite data can be used to understand some of the most fundamental economic and social processes on Earth. The bootcamp will provide a brief introduction to geospatial data science and unique tools for satellite image analysis and interpretation that are key for any informed decision making. It will introduce the students to the JavaScript API of Google Earth Engine, a cloud-based computational platform for geospatial ML and AI analysis at scale.

Takeaways

• Be able to use satellite data to map fundamental phenomenon on Earth
• Understand how Earth observation data can be used to measure economic development, social processes and changes in the environmental (e.g. deforestation)
• Gain basic understanding about satellite imagery and how to access free satellite data
• Learn fundamentals of satellite imagery analysis and interpretation
• Learn how Google Earth Engine can be used for geospatial analysis at scale with concrete applications
• Learn concepts of ML applications with geospatial data

Preparation

Google Earth Engine is a cloud-based platform for planetary scale analysis of Earth. In this bootcamp you will learn how this platform can be used for geospatial analysis at scale using the platform's JavaScript API. No prior coding knowledge is required. However, you will need to sign up to Google Earth Engine several days before the workshop. You will receive an acceptance letter within one week.