Introduction to Remote Sensing and Image Analysis Training Course

Introduction to Remote Sensing and Image Analysis Training Course

This comprehensive 5-day training course provides a foundational understanding of the principles and techniques of remote sensing and digital image analysis. Participants will gain insights into the acquisition, characteristics, and applications of remotely sensed data from various platforms and sensors. The course will equip attendees with the fundamental skills to process, interpret, and extract meaningful information from satellite and aerial imagery for a wide range of applications.

The training will cover key topics such as the electromagnetic spectrum and its interaction with Earth's surface, different types of remote sensing platforms and sensors, image characteristics and formats, basic image preprocessing techniques, image enhancement methods, spectral analysis and classification, and an introduction to change detection and accuracy assessment. Practical sessions using industry-standard software will reinforce theoretical concepts and provide hands-on experience in working with remote sensing data.

Who should attend the training

  • Professionals in environmental science
  • Agriculture and forestry
  • Urban planning
  • Natural resource management
  • Disaster management
  • GIS analysts
  • Researchers and students
  • Anyone interested in utilizing satellite and aerial imagery

Objectives of the training

  • Understand the basic principles of remote sensing and electromagnetic radiation.
  • Become familiar with different types of remote sensing platforms and sensors.
  • Learn about the characteristics and formats of digital satellite and aerial imagery.
  • Develop skills in performing basic image preprocessing techniques.
  • Master image enhancement methods for visual interpretation.
  • Understand the principles of spectral analysis and image classification.
  • Gain an introduction to change detection techniques.
  • Learn the fundamentals of accuracy assessment for remote sensing data.
  • Apply learned concepts through practical exercises using remote sensing software.

Personal benefits

  • Enhanced understanding of remote sensing principles and applications.
  • Improved skills in processing and analyzing satellite and aerial imagery.
  • Increased proficiency in using remote sensing software and tools.
  • Ability to extract valuable information from remotely sensed data.
  • Expanded career opportunities in fields utilizing remote sensing technology.

Organizational benefits

  • Improved capabilities in environmental monitoring and resource management.
  • Enhanced efficiency in mapping and spatial analysis tasks.
  • Better informed decision-making based on timely and accurate geospatial information.
  • Increased capacity for change detection and impact assessment.
  • Streamlined workflows for projects utilizing remote sensing data.

Training methodology

  • Interactive lectures and presentations on remote sensing concepts
  • Demonstrations of image processing techniques using software
  • Hands-on practical exercises with real-world remote sensing data
  • Group discussions and problem-solving sessions
  • Practical session: Importing, displaying, and exploring different types of remote sensing imagery
  • Practical session: Performing basic radiometric and geometric corrections on satellite imagery
  • Practical session: Applying various image enhancement techniques for visual interpretation
  • Practical session: Conducting supervised image classification using spectral signatures
  • Practical session: Performing a basic change detection analysis using multi-temporal imagery

Trainer Experience

Our trainers are experienced remote sensing professionals with a strong background in image processing, analysis, and applications across various domains. They bring practical expertise and real-world examples to the training, ensuring a relevant and engaging learning experience.

Quality statement

We are committed to providing high-quality training that covers the fundamental principles and practical techniques of remote sensing and image analysis. Our course materials are up-to-date, and our trainers are dedicated to ensuring participants gain a solid foundation in this rapidly evolving field.

Tailor-made courses

We offer customized training programs to meet the specific needs of organizations and individuals. Our team can work with you to develop a curriculum that focuses on particular remote sensing applications or software packages relevant to your interests or operational requirements.

 

Course Duration: 5 days

Training fee: USD 1300

Module 1: Introduction to Remote Sensing

  • Principles of remote sensing and its applications
  • Electromagnetic spectrum and atmospheric interaction
  • Types of remote sensing platforms: satellite, airborne, UAV
  • Characteristics of remote sensing sensors: spatial, spectral, temporal, radiometric resolution
  • Practical session: Exploring different remote sensing platforms and their data products

Module 2: Satellite and Airborne Imaging Systems

  • Overview of common satellite systems (e.g., Landsat, Sentinel, MODIS)
  • High-resolution satellite imagery and its applications
  • Principles of aerial photography and photogrammetry
  • Introduction to LiDAR and thermal remote sensing
  • Practical session: Comparing the characteristics of different satellite imagery

Module 3: Digital Image Characteristics and Formats

  • Understanding image pixels, bands, and metadata
  • Common image formats: TIFF, JPEG, IMG, ENVI
  • Image coordinate systems and georeferencing
  • Introduction to image histograms and statistics
  • Practical session: Examining the properties of different image file formats

Module 4: Basic Image Preprocessing Techniques

  • Radiometric correction: atmospheric correction and calibration
  • Geometric correction: georeferencing and orthorectification
  • Image registration and mosaicking
  • Data resampling techniques
  • Practical session: Performing basic radiometric and geometric corrections on an image

Module 5: Image Enhancement for Visual Interpretation

  • Contrast stretching and histogram equalization
  • Spatial filtering techniques: edge enhancement and smoothing
  • Band ratioing and vegetation indices (e.g., NDVI)
  • Principal Component Analysis (PCA) for image enhancement
  • Practical session: Applying different image enhancement techniques to improve visual interpretation

Module 6: Spectral Analysis and Image Classification

  • Understanding spectral signatures of different land cover types
  • Supervised classification: training data selection and algorithm application
  • Unsupervised classification: clustering algorithms
  • Post-classification processing and accuracy assessment
  • Practical session: Conducting a supervised image classification using training samples

Module 7: Introduction to Change Detection

  • Principles of multi-temporal remote sensing
  • Image differencing and ratioing techniques for change detection
  • Change vector analysis
  • Applications of change detection in environmental monitoring
  • Practical session: Performing a basic change detection analysis using two different date images

Module 8: Accuracy Assessment of Remote Sensing Data

  • Importance of accuracy assessment in remote sensing
  • Methods for collecting ground truth data
  • Error matrices and calculation of accuracy metrics
  • Factors affecting classification accuracy
  • Practical session: Creating an error matrix and calculating accuracy statistics

Module 9: Introduction to Remote Sensing Software and Data Sources

  • Overview of popular remote sensing software packages (e.g., QGIS, ENVI, ArcGIS)
  • Accessing and downloading free and commercial remote sensing data
  • Introduction to online remote sensing data portals
  • Data management and organization for remote sensing projects
  • Practical session: Exploring the interface of a remote sensing software and downloading sample data

Module 10: Applications of Remote Sensing in Various Fields

  • Remote sensing for land use and land cover mapping
  • Applications in agriculture and forestry monitoring
  • Use in urban planning and infrastructure development
  • Remote sensing for disaster assessment and monitoring
  • Applications in environmental monitoring and climate change studies
  • Practical session: Discussing potential remote sensing applications for specific user interests

Requirements:

·       Participants should be reasonably proficient in English.

·       Applicants must live up to Armstrong Global Institute admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@armstrongglobalinstitute.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254725012095 / +254724452588

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.

2. Invoice: We can send a bill directly to you or your company.

3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

2. Participants may cancel attendance 14 days or more prior to the training commencement date.

3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@armstrongglobalinstitute.com

Accommodation and Airport Transfer

Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@armstrongglobalinstitute.com or on Tel: +254720272325 / +254725012095 / +254724452588

Instructor-led Training Schedule

Course Dates Venue Fees Enroll
Sep 15 - Sep 19 2025 Nairobi $1,300
Oct 13 - Oct 17 2025 Dubai $1,300
Sep 22 - Sep 26 2025 Mombasa $1,300
Nov 17 - Nov 21 2025 Pretoria $1,300
Oct 20 - Oct 24 2025 Nakuru $1,300
Jan 12 - Jan 16 2026 Naivasha $1,300
Sep 22 - Sep 26 2025 Arusha $1,300
Oct 27 - Oct 31 2025 Nanyuki $1,300
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