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Introduction to Remote Sensing Training

Home Remote Sensing Courses Introduction to Remote Sensing
Introduction to remote sensing trainingWGS

This course provides an introduction to remote sensing – the acquisition of information about the earth from a distance, typically via airborne and spaceborne sensors.  The abundance of earth observation data allows us to address many pressing environmental, geographical, and geological issues. This course will prepare the participants for the basics of using remote sensing data.

What you will learn

  • the basic concepts, terminology, and theories in remote sensing science and application.
  • the physical principles of remote sensing, including electromagnetic (EM) radiation concepts.
  • will explore in detail the interaction of EM radiation with the atmosphere, water, vegetation, minerals, and other land types from a remote sensing perspective.
  • will go over various industries where remote sensing can be used including agriculture, geology, mining, hydrology, forestry, environmental, and many more!
  • will also learn about current satellite sensor platforms for remote sensing analysis including passive sensors, synthetic aperture radar, and LiDAR.
  • will also learn the accurate steps for pre-processing images including radiometric and atmospheric correction techniques.
  • how to interpret spectral characteristics from different materials and how to create their own basic equation for using remote sensing images on their own projects in the future.
  • Geospatial data access and software

Important Dates
Classroom Training Calendar 2026

START DATEEND DATEREGISTRATION DEADLINECOURSE COSTClick to Apply.
Jan 26, 2026Jan 30, 2026Jan 21, 2026USD 1000 / KES 102,000Register
Feb 23, 2026Feb 27, 2026Feb 18, 2026USD 1000 / KES 102,000Register
Mar 16, 2026Mar 20, 2026Mar 11, 2026USD 1000 / KES 102,000Register
Apr 20, 2026Apr 24, 2026Apr 15, 2026USD 1000 / KES 102,000Register
May 18, 2026May 22, 2026May 12, 2026USD 1000 / KES 102,000Register
June 15, 2026June 19, 2026June 10, 2026USD 1000 / KES 102,000Register
July 13, 2026July 17, 2026July 9, 2026USD 1000 / KES 102,000Register
Aug 10, 2026Aug 14, 2026Aug 5, 2026USD 1000 / KES 102,000Register
Sept 14, 2026Sept 18, 2026Sept 9, 2026USD 1000 / KES 102,000Register
Oct 12, 2026Oct 16, 2026Oct 7, 2026USD 1000 / KES 102,000Register
Nov 9, 2026Nov 13, 2026Nov 4, 2026USD 1000 / KES 102,000Register
Dec 14, 2026Dec 18, 2026Dec 8, 2026USD 1000 / KES 102,000Register

Online Training Calendar 2026

START DATEEND DATEREGISTRATION
DEADLINE		COURSE COSTClick to Apply.
Jan 19, 2026Jan 23, 2026Jan 14, 2026USD 500 / KES 56,000Register
Feb 23, 2026Feb 27, 2026Feb 18, 2026USD 500 / KES 56,000Register
Mar 23, 2026Mar 27, 2026Mar 18, 2026USD 500 / KES 56,000Register
Apr 27, 2026May 1, 2026Apr 21, 2026USD 500 / KES 56,000Register
May 25, 2026May 29, 2026May 20, 2026USD 500 / KES 56,000Register
June 29, 2026July 3, 2026June 22, 2026USD 500 / KES 56,000Register
July 27, 2026July 31, 2026July 21, 2026USD 500 / KES 56,000Register
Aug 24, 2026Aug 28, 2026Aug 19, 2026USD 500 / KES 56,000Register
Sept 28, 2026Oct 2, 2026Sept 22, 2026USD 500 / KES 56,000Register
Oct 26, 2026Oct 30, 2026Oct 20, 2026USD 500 / KES 56,000Register
Nov 30, 2026Dec 4, 2026Nov 25, 2026USD 500 / KES 56,000Register
Dec 21, 2026Dec 25, 2026Dec 16, 2026USD 500 / KES 56,000Register

Group Discount

WE OFFER 10% – 20% DISCOUNT TO GROUPS OF MORE THAN 5 PARTICIPANTS.

REGISTER HERE

Course Content

Introduction to Remote Sensing

  • Basic Remote Sensing and Jargon.
  • Overview of existing satellites (e.g., Landsat and Sentinel).
  • Future and development of remote sensing.
  • Hyperspectral Data Analysis (Overview).
  • Normalized Difference Vegetation Index (NDVI)

Image Classification (Practical)

  • Data exploration and pre-processing.
  • Collecting training samples.
  • Evaluating training samples.
  • Editing classes.
  • Creating the signature file
  • Clustering (unsupervised classification).
  • Supervised Classification
  • Examining the signature file
  • Editing the signature file.
  • Applying classification.
  • Post-classification processing

Target Participants

Newbies, Project Managers, Planners, Land officers and Surveyors, M & E Experts, Public health, Program Manager, Students, Engineers, Teachers, GIS and Remote Sensing Enthusiasts

Suggested Skills

Experience with Windows-based software for basic file management and browsing.

Software

QGIS ,ArcGIS, SAGA , Erdas

Certification

Upon completion of the course all the participants will be awarded a certificate at no extra cost.