Module 1: Fundamentals of Remote Sensing for Land Cover/Use

• Definition of land cover and land use, and their importance in environmental studies.
• Role of remote sensing in mapping and monitoring land changes.
• Review of essential remote sensing concepts: Electromagnetic spectrum, spectral signatures.
• Types of satellite imagery suitable for change detection (e.g., Landsat, Sentinel, high-resolution).
• Understanding multi-temporal data characteristics (spatial, spectral, temporal resolution).
• Practical session: Exploring multi-temporal satellite imagery and visually identifying initial areas of change.

Module 2: Data Acquisition and Pre-processing for Change Detection

• Sources for acquiring multi-temporal satellite imagery.
• Image co-registration: Accurately aligning images from different dates.
• Radiometric normalization: Correcting for atmospheric and illumination differences.
• Image clipping and mosaic creation for analysis extent.
• Addressing phenological variations and seasonal effects in change detection.
• Practical session: Performing precise image co-registration and radiometric normalization on a pair of multi-temporal images.

Module 3: Visual Interpretation and Basic Change Detection Methods

• Principles of visual interpretation for identifying land cover/use changes.
• Comparing images side-by-side: Flicker method, image differencing visualization.
• Basic image overlay techniques for change visualization.
• Manual digitization of changed areas.
• Introduction to the change detection workflow.
• Practical session: Visually identifying and digitizing changed areas between two dates using a flicker or transparency tool.

Module 4: Image Differencing and Change Vector Analysis

• Image Differencing: Subtracting images to highlight change (e.g., band-by-band differencing).
• Thresholding differenced images to create binary change maps.
• Image Ratioing: Dividing images to normalize for illumination differences.
• Change Vector Analysis (CVA): Magnitude and direction of change in multi-spectral space.
• Interpreting CVA results for type of change.
• Practical session: Performing image differencing and change vector analysis on multi-spectral imagery to detect change magnitude.

Module 5: Post-Classification Change Detection

• Post-Classification Comparison: Classifying images separately and then comparing the results.
• Creating "from-to" change matrices to quantify transitions between classes.
• Advantages and disadvantages of post-classification method.
• Handling classification errors in change detection.
• Applications in land use change modeling.
• Practical session: Performing supervised classification on two different dates and then generating a "from-to" change matrix and map.

Module 6: Advanced Change Detection Techniques (e.g., Regression, Machine Learning)

• Regression Analysis: Using statistical models to predict change.
• Machine Learning for Change Detection: Random Forest, Support Vector Machines for pixel or object-based change.
• Spectral Mixture Analysis (SMA) for sub-pixel change detection.
• Object-Based Change Detection (OBCD) for improved accuracy and reduced noise.
• Concepts of deep learning for change detection.
• Practical session: Applying a simple machine learning classifier for change detection or exploring results from an object-based change detection.

Module 7: Integrating Time-Series Data for Change Monitoring

• Understanding time-series remote sensing data (e.g., MODIS, Landsat Annual Stacks).
• Detecting trends and anomalies in time-series data for continuous monitoring.
• Phenological analysis: Understanding seasonal cycles for accurate change detection.
• Algorithms for time-series analysis (e.g., BFAST, CCDC).
• Applications in forest disturbance detection, agricultural monitoring.
• Practical session: Visualizing and analyzing a short time-series of vegetation index (e.g., NDVI) to identify changes.

Module 8: Accuracy Assessment and Validation of Change Detection

• Importance of accuracy assessment for change detection products.
• Designing sampling strategies for ground truth data.
• Creating a confusion matrix for change classes.
• Calculating overall accuracy, producer's accuracy, user's accuracy, and Kappa coefficient for change maps.
• Sources of error in change detection and strategies for mitigation.
• Practical session: Performing an accuracy assessment on a generated change map using validation points.

Module 9: Applications of Land Cover/Use Change Detection

• Deforestation and forest degradation monitoring.
• Urban growth and sprawl analysis.
• Agricultural land dynamics (e.g., crop rotation, abandonment).
• Coastal erosion and wetland loss.
• Impact assessment of natural disasters (e.g., floods, wildfires).
• Practical session: Applying change detection techniques to analyze urban growth over a period or map areas of recent deforestation.

Module 10: Project Work and Advanced Topics

• Review of all change detection methods and workflows.
• Guided individual or group project work on a comprehensive land cover/use change detection problem.
• Designing a complete change detection project from data selection to final mapping.
• Introduction to cloud-based platforms for change detection (e.g., Google Earth Engine).
• Best practices for documenting, communicating, and presenting change detection results.
• Practical session: Completing an end-to-end change detection project on a new dataset, including data preparation, analysis, and final map production.

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