GIS and Remote Sensing for sustainable forest monitoring and management Course
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GIS and Remote Sensing for sustainable forest monitoring and management Course

10 Days Online - Virtual Training

NB: HOW TO REGISTER TO ATTEND

Please choose your preferred schedule.Fill out the form with your personal and organizational details and submit it. We will promptly process your invitation letter and invoice to facilitate your attendance at our workshops. We eagerly anticipate your registration and participation in our Skill Impact Trainings. Thank you.

# Start Date End Date Duration Location Registration
32 13/01/2025 24/01/2025 10 Days Live Online Training
33 10/02/2025 21/02/2025 10 Days Live Online Training
34 24/02/2025 07/03/2025 10 Days Live Online Training
35 10/03/2025 21/03/2025 10 Days Live Online Training
36 07/04/2025 18/04/2025 10 Days Live Online Training
37 21/04/2025 02/05/2025 10 Days Live Online Training
38 05/05/2025 16/05/2025 10 Days Live Online Training
39 19/05/2025 30/05/2025 10 Days Live Online Training
40 02/06/2025 13/06/2025 10 Days Live Online Training
41 16/06/2025 27/06/2025 10 Days Live Online Training

GIS and Remote Sensing for Sustainable Forest Monitoring and Management Course

Introduction

The GIS and Remote Sensing for Sustainable Forest Monitoring and Management Course is a specialized training program designed to equip participants with the technical skills and knowledge to apply Geographic Information Systems (GIS) and remote sensing technologies in forest management and monitoring. As forest ecosystems face growing pressures from climate change, deforestation, and land degradation, these technologies provide powerful tools for sustainable forest monitoring and data-driven decision-making. This course covers essential GIS and remote sensing techniques tailored to forest conservation, biodiversity assessment, and carbon stock monitoring, allowing participants to gain the skills required for comprehensive environmental management.

With advancements in remote sensing, GIS mapping, and satellite technology, forest monitoring has become more accurate, enabling real-time analysis of forest conditions. Participants will learn to use data from satellite images, drones, and aerial surveys to track deforestation, detect forest health changes, assess biodiversity, and estimate biomass and carbon sequestration rates. This course integrates both theoretical and hands-on training, offering participants experience in using software such as ArcGIS and QGIS and accessing data from open-source platforms.

The demand for sustainable forest management solutions continues to grow as organizations worldwide prioritize biodiversity conservation, carbon sequestration, and ecosystem services. This course empowers forestry professionals, environmental scientists, and conservationists to implement data-driven forest management strategies that promote sustainability. Through case studies and practical exercises, participants will be able to make informed decisions regarding forest policy, forest health monitoring, and ecological restoration.

This course is ideal for forestry officers, environmental consultants, conservationists, and GIS analysts interested in applying geospatial technologies for sustainable forest management. By completing this course, participants will gain practical skills to enhance forest conservation efforts, drive policy change, and support sustainable forest practices globally, ensuring that forests are monitored, managed, and conserved effectively for future generations.

Course Objectives

  1. Understand the principles and applications of GIS and remote sensing in forest monitoring.
  2. Identify and analyze forest cover and land use changes over time.
  3. Apply remote sensing techniques to assess forest health and biodiversity.
  4. Estimate biomass and carbon stocks using satellite and aerial data.
  5. Develop data-driven approaches to detect deforestation and forest degradation.
  6. Utilize geospatial software such as ArcGIS and QGIS for forest mapping.
  7. Implement forest conservation and restoration strategies using GIS tools.
  8. Access and process data from open-source geospatial platforms.
  9. Apply spatial analysis for biodiversity assessment and species distribution modeling.
  10. Develop actionable forest management plans based on geospatial data analysis.

Organization Benefits

  1. Improved forest monitoring and conservation strategies.
  2. Enhanced ability to detect illegal logging and deforestation activities.
  3. Accurate carbon stock estimation for carbon credit and offset initiatives.
  4. Efficient biodiversity monitoring and conservation planning.
  5. Comprehensive land use and forest cover change tracking.
  6. Improved compliance with environmental and sustainability regulations.
  7. Data-driven forest management practices and policy support.
  8. Strengthened capacity for natural resource management and conservation.
  9. Enhanced organizational reputation as a leader in sustainable forestry.
  10. Access to accurate and up-to-date forest monitoring data for informed decision-making.

Target Participants

  • Forestry officers and forest managers
  • Environmental scientists and researchers
  • Conservationists and ecologists
  • GIS and remote sensing analysts
  • Environmental consultants
  • Policy makers in forest management and conservation
  • Graduate students in environmental science and forestry
  • NGO staff working in forest conservation and management
  • Carbon credit and sustainability analysts
  • Professionals in natural resource management

Course Outline

Module 1: Introduction to GIS and Remote Sensing for Forest Management

  1. Overview of GIS and remote sensing technologies.
  2. Importance of sustainable forest management.
  3. Applications of GIS in forest monitoring and management.
  4. Introduction to key software (ArcGIS, QGIS).
  5. Accessing remote sensing data for forest management.
  6. Case study: Introduction to forest mapping projects.

Module 2: Forest Cover and Land Use Change Detection

  1. Techniques for forest cover mapping.
  2. Analyzing land use and land cover (LULC) changes.
  3. Remote sensing methods for detecting deforestation.
  4. Time-series analysis for forest cover changes.
  5. Monitoring changes in protected areas.
  6. Case study: Forest cover change in tropical rainforests.

Module 3: Forest Health and Biodiversity Assessment

  1. Assessing forest health using spectral indices.
  2. Mapping biodiversity and species distribution.
  3. Identifying forest degradation signs and patterns.
  4. Remote sensing for wildlife habitat monitoring.
  5. Applying vegetation indices for health assessment.
  6. Case study: Biodiversity monitoring in conservation areas.

Module 4: Biomass and Carbon Stock Estimation

  1. Remote sensing for biomass estimation.
  2. Methods for calculating carbon stocks.
  3. Carbon credit and offset opportunities.
  4. Role of forests in carbon sequestration.
  5. Modeling above-ground biomass with geospatial data.
  6. Case study: Carbon stock assessment in forest reserves.

Module 5: Remote Sensing for Deforestation and Degradation Detection

  1. Techniques for identifying illegal logging.
  2. High-resolution satellite data for forest monitoring.
  3. Assessing forest fire impacts with remote sensing.
  4. Monitoring forest degradation and fragmentation.
  5. Implementing early warning systems for deforestation.
  6. Case study: Deforestation detection in Amazon rainforest.

Module 6: Geospatial Data Analysis for Forest Conservation

  1. Basics of spatial analysis and modeling.
  2. Forest conservation planning with GIS.
  3. Mapping critical ecosystems and wildlife corridors.
  4. Decision-support systems in forest conservation.
  5. Prioritizing areas for reforestation and restoration.
  6. Case study: Conservation planning in biodiversity hotspots.

Module 7: Open-Source Platforms and Data Acquisition

  1. Accessing satellite data from open-source platforms.
  2. Working with data from Sentinel and Landsat satellites.
  3. Integrating drone data in forest monitoring.
  4. Basics of cloud-based GIS platforms.
  5. Downloading and processing open-source datasets.
  6. Case study: Using Sentinel data for forest mapping.

Module 8: Forest Fire Detection and Assessment

  1. Remote sensing for early fire detection.
  2. Mapping fire-prone forest areas.
  3. Analyzing post-fire forest conditions.
  4. Modeling fire risk using spatial data.
  5. Mitigating forest fire impacts through planning.
  6. Case study: Forest fire detection and response in Australia.

Module 9: Water Resources and Watershed Management in Forests

  1. Importance of water resources in forest ecosystems.
  2. Mapping forest watersheds and river basins.
  3. Analyzing forest hydrology with GIS.
  4. Identifying and protecting critical water sources.
  5. Forest management for watershed protection.
  6. Case study: Watershed management in forest reserves.

Module 10: Precision Forestry Techniques

  1. Introduction to precision forestry.
  2. Using GIS and remote sensing for precision management.
  3. Site-specific forest monitoring and management.
  4. Optimizing resources for sustainable forestry.
  5. Mapping tree canopy and understory.
  6. Case study: Precision forestry in timber management.

Module 11: Climate Impact Assessment on Forests

  1. Effects of climate change on forest ecosystems.
  2. GIS for tracking climate-related changes in forests.
  3. Modeling climate impacts on species distribution.
  4. Adapting forest management to climate change.
  5. Integrating climate data with forest management.
  6. Case study: Climate impact assessment in temperate forests.

Module 12: Sustainable Forest Management Policy and Implementation

  1. Developing policies for sustainable forestry.
  2. Forest governance and compliance with regulations.
  3. Using GIS data for policy planning and implementation.
  4. Stakeholder engagement in forest management.
  5. Evaluating forest management plans for sustainability.
  6. Case study: Implementing sustainable forestry policies.

General Information

  1. Customized Training: All our courses can be tailored to meet the specific needs of participants.
  2. Language Proficiency: Participants should have a good command of the English language.
  3. Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.
  4. Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).
  5. Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.
  6. Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.
  7. Onsite Training Inclusions: The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a Certificate of Successful Completion. Participants are responsible for their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.
  8. Additional Services: Accommodation, pickup services, freight booking, and visa processing arrangements are available upon request at discounted rates.
  9. Equipment: Tablets and laptops can be provided to participants at an additional cost.
  10. Post-Training Support: We offer one year of free consultation and coaching after the course.
  11. Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.
  12. Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.
  13. Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.
  14. Website: Visit our website at www.fdc-k.org for more information.

 

 

 

 

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