Module 1: Introduction to Satellite Remote Sensing

• Definition and concepts of remote sensing
• Electromagnetic spectrum and atmospheric windows
• Passive vs. Active remote sensing systems
• Types of satellite sensors (e.g., optical, radar)
• Key applications of satellite remote sensing
• Practical session: Exploring different satellite imagery datasets and their characteristics

Module 2: Satellite Image Characteristics and Data Formats

• Spatial, spectral, temporal, and radiometric resolutions
• Understanding Digital Numbers (DNs) and pixel values
• Multispectral and panchromatic imagery
• Common satellite image formats (e.g., GeoTIFF, HDF, NetCDF)
• Metadata and its importance in satellite imagery
• Practical session: Examining metadata for various satellite images and understanding their properties

Module 3: Radiometric Correction of Satellite Images

• Sources of radiometric distortion (e.g., atmospheric effects, sensor noise)
• Understanding radiance and reflectance
• Dark Object Subtraction (DOS) method
• Atmospheric correction techniques
• Radiometric calibration and normalization
• Practical session: Applying radiometric correction to a satellite image to convert DNs to reflectance values

Module 4: Geometric Correction and Image Registration

• Sources of geometric distortion in satellite images
• Ground Control Points (GCPs) and their role in geometric correction
• Image-to-map vs. image-to-image registration
• Resampling techniques (Nearest Neighbor, Bilinear Interpolation, Cubic Convolution)
• Accuracy assessment of geometric correction
• Practical session: Georeferencing a satellite image to a map projection using GCPs

Module 5: Image Enhancement Techniques

• Purpose of image enhancement for visual interpretation
• Contrast stretching (linear, histogram equalization, piecewise linear)
• Spatial filtering (e.g., low-pass, high-pass, edge detection)
• Color composites and band combinations
• Image fusion techniques (e.g., pan-sharpening)
• Practical session: Applying various contrast stretches and spatial filters to enhance image features

Module 6: Spectral Indices and Band Combinations

• Understanding the spectral signatures of common land cover types
• Introduction to vegetation indices (e.g., NDVI, EVI)
• Water indices (e.g., NDWI) and built-up indices (e.g., NDBI)
• Creating custom band combinations for specific applications
• Interpreting the meaning of different indices
• Practical session: Calculating NDVI and other spectral indices from multispectral imagery

Module 7: Supervised Image Classification

• Principles of supervised classification
• Defining information classes and spectral classes
• Training data collection and Region of Interest (ROI) selection
• Common algorithms: Maximum Likelihood, Support Vector Machine (SVM)
• Building and evaluating classification models
• Practical session: Performing a supervised classification of a satellite image for land cover mapping

Module 8: Unsupervised Image Classification

• Principles of unsupervised classification
• Clustering algorithms: K-Means, ISODATA
• Interpreting and labeling unsupervised classes
• Advantages and disadvantages compared to supervised methods
• Refining unsupervised classification results
• Practical session: Applying an unsupervised classification algorithm and interpreting the resulting clusters

Module 9: Accuracy Assessment of Classified Images

• Importance of accuracy assessment
• Validation data collection and sampling strategies
• Creating a confusion matrix (error matrix)
• Calculating accuracy metrics: Overall Accuracy, Producer's Accuracy, User's Accuracy, Kappa Coefficient
• Identifying sources of classification error
• Practical session: Performing an accuracy assessment on a classified image using a confusion matrix

Module 10: Introduction to Satellite Image Analysis Software

• Overview of commercial software (e.g., ENVI, ERDAS IMAGINE, ArcGIS Pro)
• Overview of open-source software (e.g., QGIS with SCP plugin, SNAP)
• Basic functionalities for viewing and manipulating satellite images
• Exporting processed images and results
• Workflow integration for advanced analysis
• Practical session: Navigating and performing basic operations in a chosen remote sensing software platform

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