Remote Sensing Fundamentals

About this Course

This course is designed for GIS professionals seeking to understand and apply Remote Sensing techniques using the Esri environment and other tools. It covers key concepts, types of imagery and satellites, preprocessing steps, visual interpretation, classification, and accuracy assessment. You'll work with ArcGIS Pro, Image Analyst tools, and get an introduction to Google Earth Engine. By the end, you'll be ready to apply remote sensing in real-world projects with confidence.

Goals

• Understand the fundamental concepts of Remote Sensing.

• Identify types of satellite imagery and their applications.

• Perform image preprocessing (radiometric, atmospheric, geometric corrections).

• Conduct visual interpretation and manual digitization from imagery.

• Apply supervised and unsupervised classification methods.

• Assess classification accuracy using confusion matrix and kappa index.

• Use ArcGIS Pro tools for image classification and analysis.

• Explore basic capabilities of Google Earth Engine for remote sensing analysis.

• Implement change detection techniques using multi-temporal imagery.

• Integrate remote sensing data into GIS projects for analysis and reporting.
  

Software

. ArcGIS Pro.
. Erdas 
. Envi
. Google Earth Engine