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