Introduction to Remote Sensing

The Introduction to Remote Sensing course provides participants with a comprehensive understanding of the principles, techniques, and applications of remote sensing technology. Participants will learn how to acquire, process, and analyze remote sensing data to extract meaningful information for various fields including environmental science, agriculture, urban planning, and disaster management.

Course Objectives:

  1. To introduce participants to the fundamental concepts and principles of remote sensing.
  2. To familiarize participants with different types of remote sensing platforms and sensors.
  3. To provide hands-on experience in processing and analyzing remote sensing data.
  4. To demonstrate the application of remote sensing in real-world scenarios through case studies and practical exercises.

Target Audience: This course is designed for professionals and students in fields such as environmental science, geography, agriculture, urban planning, disaster management, and related disciplines who want to gain a solid foundation in remote sensing techniques and applications.

Prerequisites: Basic knowledge of geography and computer skills are recommended but not required. No prior experience in remote sensing is necessary.

Certification: Participants will receive a certificate at the end of the course.


South Africa

Training Dates:

Each course starts every Monday of each week. Please book your training on a date that is a Monday.

Course Duration: 1 Week

Unit Standard: 49063

NQF Level: 5

Number of Credits: 121

Course Fees

Note: Please fill in the online application form on the left or bottom if this page to receive a quotation with detailed pricing from AATICD.

How to Apply:

To Apply Simply Fill in the Online Enquiries / Applications form on the Right Sidebar or Bottom of this website


When filling the online application form; please take note of your desired Training Month, Duration in Weeks and Training Session. This will give us the exact dates you will be attending your classes.

Also note that Tuition Fees must be paid upfront on or before training start date. This is to ensure that all resources are made availabe for you before you start. You will not be allowed into training if fees are not paid and verified.

Also note that Tuition Fees Cancellations must be made 14 business working days before the starting date of training. This will allow us to do a 50% refund of the total amount paid. If cancellations are made thereafter note that no refund will be made to delegates.

Tuition Fees include teas and lunch as well as either a laptop or tablet which a delegate will take home free of charge.

Tuition Fee DOES NOT include Accommodation, Dinners and other Extra Curricular Activities or Incidentals. Delegates are expected to fund this on their own. AATICD will not be held accountable for any incidents to delegates.

In-House Trainings are also available for 3 or more delegates for any duration. Please consult with our Administration for such In-House training bookings.

Course Outline

  1. Introduction to Remote Sensing
    • Definition and principles of remote sensing
    • History and evolution of remote sensing technology
    • Types of remote sensing platforms (satellites, aircraft, drones)
    • Overview of applications in environmental science, agriculture, urban planning, etc.
  2. Fundamentals of Remote Sensing Data
    • Electromagnetic spectrum and interaction with Earth’s surface
    • Types of remote sensing data (optical, thermal, radar, LiDAR)
    • Characteristics of remote sensing imagery (spatial resolution, spectral bands, temporal frequency)
    • Data sources and acquisition methods
  3. Image Processing and Analysis
    • Pre-processing techniques (calibration, georeferencing, atmospheric correction)
    • Image enhancement methods (contrast stretching, filtering, fusion)
    • Feature extraction and classification (supervised, unsupervised, object-based)
    • Change detection techniques
  4. Applications of Remote Sensing
    • Environmental monitoring (land cover/land use mapping, vegetation analysis, water quality assessment)
    • Agriculture and forestry (crop monitoring, yield estimation, deforestation detection)
    • Urban planning and infrastructure management
    • Disaster management and response
    • Natural resource management
  5. Hands-on Exercises and Case Studies
    • Practical sessions using remote sensing software (e.g., ArcGIS, ENVI, QGIS)
    • Analysis of real remote sensing datasets
    • Case studies demonstrating the use of remote sensing in various applications