Advanced Remote Sensing Course

Program Overview

This program provides advanced training in Google Earth Engine (GEE) and machine learning for geospatial imagery analysis. It covers topics such as advanced GEE operations, modeling, machine learning in GEE and KERAS, and open topics. The course is taught in a cloud-based coding environment using Google Earth Engine Python API running on Google Colab.

Program Outline

Outline:

• Unit 0: Introduction
• Unit 1: Advanced GEE operations
• Unit 2: Modeling in GEE
• Unit 3: Machine learning in GEE (raster)
• Unit 4: Machine learning in KERAS (point clouds)
• Unit 5: Open topics
Each unit includes lab sessions with code examples to facilitate the transition from working in various platforms using different programming languages to working in one unified cloud-based coding environment.

Teaching:

• The course is taught in a cloud-based coding environment using Google Earth Engine Python API running on Google Colab.
• Students will be provided with a student license for ArcGIS as long as they are enrolled in program courses for which ArcGIS is required.

Careers:

This course is required in the Geospatial Imagery Analysis specialization.