Fundamentals and applications of Remote Sensing

This course offers a comprehensive introduction to remote sensing, combining theoretical knowledge with practical application.

Theoretical Foundations:

• Introduction to Remote Sensing: Understand the fundamental principles of acquiring information about the Earth's surface without physical contact.
• Remote Sensing Data Sources: Explore the various sources of data used in remote sensing, including different types of sensors.
• Satellite Orbits: Learn about the different types of orbits used by satellites for data collection.
• Remote Sensing Image Analysis & Interpretation: Develop skills in analyzing and interpreting remote sensing imagery.
• Key Remote Sensing Terminology: Familiarize yourself with essential terms used in the field.

Practical Skills:

• Satellite Imagery Acquisition: Learn how to download satellite imagery from prominent sources like Landsat and Sentinel.
• ENVI Software Installation & Configuration: Install and configure the ENVI software package.
• Band Stacking (Layer Staking): Master the technique of stacking and renaming bands within satellite imagery in ENVI.
• Image Band Combination: Learn to combine different image bands within ENVI 5.1 to create enhanced visualizations.
• Image Segmentation: Extract specific areas from satellite imagery using ArcGIS, including both regular and irregular shapes, and then integrate them into Shape Files.
• Data Conversion: Convert satellite imagery between ENVI and Shape File formats for seamless workflow.
• Unsupervised Classification: Implement unsupervised classification techniques in ArcGIS and convert the results to ENVI for further analysis.
• Supervised Classification: Develop skills in supervised classification within ArcGIS and integrate the classified imagery into ENVI.

This course equips you with the essential skills to process and analyze satellite data for various applications.