Forest Canopy and Biomass Estimation using Remote Sensing Training Course
Introduction
Forests are vital ecosystems, providing essential ecological services such as carbon sequestration, biodiversity habitats, water regulation, and economic resources. Accurately assessing and monitoring Forest Canopy characteristics (e.g., canopy cover, height, structure) and Forest Biomass (the total mass of living organic matter, primarily above-ground biomass, which includes carbon stock) is crucial for sustainable forest management, climate change mitigation efforts (REDD+), biodiversity conservation, and understanding global carbon cycles. Traditional forest inventories are often labor-intensive, time-consuming, and limited in their spatial coverage, making it challenging to track dynamic changes across large forested landscapes. Remote Sensing technology provides an unparalleled capability for systematically and efficiently monitoring forest attributes from local to global scales. Satellite, airborne, and increasingly, drone-based sensors can capture detailed information about forest structure, health, and extent. Technologies like optical imagery, LiDAR, and Synthetic Aperture Radar (SAR) offer complementary strengths for characterizing forest canopies and estimating biomass, providing objective, repeatable, and cost-effective data. Without the specialized skills to acquire, process, and analyze this remote sensing data, forest managers, researchers, and policymakers struggle to obtain accurate and timely information for sustainable forest resource management, carbon accounting, and conservation efforts. Many professionals in forestry and environmental sectors recognize the potential of remote sensing but lack the practical expertise to translate raw imagery into actionable insights for effective forest assessment.
Conversely, mastering Remote Sensing for Forest Canopy and Biomass Estimation empowers professionals to quantify forest resources, track deforestation and degradation, assess carbon sequestration potential, and inform land management decisions with unprecedented accuracy and efficiency. This specialized skill set is crucial for transforming raw sensor data into precise, actionable intelligence that contributes directly to sustainable forestry, climate action, and biodiversity protection. Our intensive 5-day "Forest Canopy and Biomass Estimation using Remote Sensing" training course is meticulously designed to equip foresters, environmental scientists, conservation practitioners, climate change researchers, natural resource managers, GIS professionals, and researchers with the essential theoretical knowledge and practical, hands-on skills required to confidently apply various remote sensing techniques for comprehensive forest canopy and biomass estimation.
Duration
5 Days
Target Audience
The "Forest Canopy and Biomass Estimation using Remote Sensing" training course is ideal for a wide range of professionals and researchers involved in forest management, conservation, climate change, and environmental monitoring. This includes:
Course Objectives
Upon successful completion of the "Forest Canopy and Biomass Estimation using Remote Sensing" training course, participants will be able to:
8 Course Modules
Module 1: Introduction to Forest Remote Sensing and Biomass Concepts
Module 2: Optical Remote Sensing for Forest Cover and Health
Module 3: LiDAR Remote Sensing for Forest Structure and Height
Module 4: Biomass Estimation using Optical and LiDAR Data
Module 5: SAR Remote Sensing for Forest Biomass and Dynamics
Module 6: Forest Change Detection and Disturbance Monitoring
Module 7: Advanced Topics and Integration
Module 8: Practical Workflow and Reporting for Forest Applications
CERTIFICATION
TRAINING VENUE
AIRPORT PICK UP AND ACCOMMODATION
TERMS OF PAYMENT
Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com
Dates | Fees | Location | Action |
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08/09/2025 - 12/09/2025 | $1,750 | Mombasa |
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22/09/2025 - 26/09/2025 | $1,500 | Nairobi |
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06/10/2025 - 10/10/2025 | $1,750 | Mombasa |
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20/10/2025 - 24/10/2025 | $1,500 | Nairobi |
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03/11/2025 - 07/11/2025 | $1,750 | Mombasa |
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24/11/2025 - 28/11/2025 | $1,500 | Nairobi |
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01/12/2025 - 05/12/2025 | $1,500 | Nairobi |
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08/12/2025 - 12/12/2025 | $1,750 | Mombasa |
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05/01/2026 - 09/01/2026 | $1,750 | Mombasa |
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19/01/2026 - 23/01/2026 | $1,500 | Nairobi |
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02/03/2026 - 06/03/2026 | $1,750 | Mombasa |
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23/03/2026 - 27/03/2026 | $1,500 | Nairobi |
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06/04/2026 - 10/04/2026 | $1,750 | Mombasa |
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20/04/2026 - 24/04/2026 | $1,500 | Nairobi |
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04/05/2026 - 08/05/2026 | $1,750 | Mombasa |
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25/05/2026 - 29/05/2026 | $1,500 | Nairobi |
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01/06/2026 - 05/06/2026 | $1,750 | Mombasa |
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22/06/2026 - 26/06/2026 | $1,500 | Nairobi |
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