What you will learn

• Understand the history and foundational theories behind the field of Earth Observation.
• Gained a basic knowledge of the main Earth Observation systems, technologies and data sets.
• Analyze imagery data using Earth Observation software.
• Understand the method of formal image interpretation.
• Identify the key application areas in Earth Observation.
• Practice communicating concepts through formal written and visual forms

The Courses

M1. Course Introduction - History of remote sensing - Principles of electromagnetic radiation and the spectrum.

M2. Colour theory ,Image resolution: Spatial, spectral, radiometric and temporal resolution , Introduction to airborne and spaceborne imaging systems , Multispectral, hyperspectral and thermal remote sensing

M3. Principles and techniques of image interpretation, Remote sensing of vegetation

M4. Remote sensing of water, Remote sensing of soils, landforms, and geology

M5. Final Project work , Case study: Application to Al Moutmir vegetation, landscape and soil data

Summary

This course “Remote Sensing Fundamentals and Methods: Applications to Soil, Vegetation, and Water” is one of the foundational courses in the stream of courses offered by CRSA. This course has been to respond to the substantial and rapidly evolving needs for scientific remote sensing theory, method development, sensor experimentation and data processing.

Description

This course will focus on remote sensing theory and methods enabling the development and exploitation of existing and novel remote sensing sensors, data acquisition and processing, physical-based/hybrid methods, and diversifying applications to earth observation systems research.

Key Benefits

Overall, this course will provide an introduction to the principles and techniques of satellite image interpretation with application to Soil, Vegetation, and Water