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

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# Start Date End Date Duration Location Registration
23 06/05/2024 17/05/2024 10 Days Live Online Training
24 03/06/2024 14/06/2024 10 Days Live Online Training
25 01/07/2024 12/07/2024 10 Days Live Online Training
26 29/07/2024 09/08/2024 10 Days Live Online Training
27 26/08/2024 06/09/2024 10 Days Live Online Training
28 23/09/2024 04/10/2024 10 Days Live Online Training
29 21/10/2024 01/11/2024 10 Days Live Online Training
30 18/11/2024 29/11/2024 10 Days Live Online Training
31 16/12/2024 27/12/2024 10 Days Live Online Training

Introduction:

The GIS and Remote Sensing for Sustainable Forest Monitoring and Management course provides participants with comprehensive knowledge and practical skills in utilizing Geographic Information Systems (GIS) and remote sensing techniques for effective forest monitoring and management. This course focuses on the application of GIS and remote sensing in promoting sustainable practices and conservation of forest resources. Participants will learn how to analyze and interpret remotely sensed data, develop spatial models, and implement monitoring strategies to support sustainable forest management.

Objective:

 The main objective of this training program is to equip participants with the necessary skills and knowledge to effectively utilize GIS and remote sensing technologies for sustainable forest monitoring and management. By the end of the course, participants will be able to:

  1. Understand the fundamental principles of GIS and remote sensing in the context of forest monitoring and management.
  2. Acquire knowledge of spatial data collection methods, including remote sensing platforms and sensors.
  3. Analyze and interpret remotely sensed data for forest characterization and change detection.
  4. Develop spatial models and apply geospatial analysis techniques for forest management decision-making.
  5. Implement forest monitoring strategies using GIS and remote sensing data.
  6. Utilize GIS and remote sensing tools to assess forest health, biodiversity, and carbon sequestration.
  7. Integrate GIS and remote sensing data into sustainable forest management plans and policies.

Organizational Benefits:

By attending this training program, organizations can expect the following benefits:

  1. Enhanced forest monitoring and management: Participants will learn how to utilize GIS and remote sensing technologies to improve forest monitoring capabilities, leading to more informed management decisions and effective conservation practices.
  2. Sustainable forest management: The course focuses on sustainable practices, allowing organizations to incorporate GIS and remote sensing techniques into their management strategies, promoting the conservation and sustainable use of forest resources.
  3. Data-driven decision-making: By analyzing and interpreting remotely sensed data, organizations can make evidence-based decisions regarding forest resource allocation, biodiversity conservation, and carbon sequestration initiatives.
  4. Improved spatial analysis capabilities: Participants will gain expertise in geospatial analysis, enabling organizations to conduct spatial modeling, identify land cover changes, and assess forest health more accurately.
  5. Efficient resource allocation: With the use of GIS and remote sensing technologies, organizations can optimize resource allocation by identifying priority areas for conservation, monitoring potential threats, and evaluating the effectiveness of management interventions.
  6. Compliance with regulations and reporting: The integration of GIS and remote sensing data into sustainable forest management plans helps organizations comply with regulations, demonstrate transparency, and produce accurate reports on forest conditions and conservation efforts.

Who Should Attend:

This training program is suitable for professionals and individuals involved in forest management, conservation, and environmental monitoring. The target audience includes:

  1. Forest managers and administrators seeking to enhance their skills in utilizing GIS and remote sensing for sustainable forest management.
  2. Environmental and conservation professionals involved in forest monitoring and biodiversity assessment.
  3. GIS specialists and remote sensing analysts interested in applying their skills to forest monitoring and management.
  4. Researchers and scientists working in the field of forestry and environmental sciences.
  5. Government officials and policymakers involved in formulating forest management policies and regulations.
  6. Non-governmental organization (NGO) staff engaged in forest conservation and sustainable development initiatives.

Duration:

 The GIS and Remote Sensing for Sustainable Forest Monitoring and Management course has a duration of 10 days. This comprehensive training allows participants to gain a thorough understanding of the principles, techniques, and applications of GIS and remote sensing in forest monitoring and management.

Course Outline:

The training program consists of more than 20 modules, covering various aspects of GIS and remote sensing for sustainable forest monitoring and management. Here is a sample outline of the course:

Course Outline:

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

  • Overview of GIS and remote sensing technologies
  • Applications of GIS and remote sensing in sustainable forest management
  • Introduction to forest monitoring concepts and challenges

Module 2: Principles of Remote Sensing

  • Electromagnetic spectrum and satellite imagery
  • Image acquisition, interpretation, and analysis techniques
  • Remote sensing platforms and sensors for forest monitoring

Module 3: Spatial Data Collection Methods for Forest Monitoring

  • Aerial photography and photogrammetry
  • Satellite image acquisition and preprocessing
  • Field data collection and integration with remote sensing data

Module 4: Image Processing and Interpretation

  • Digital image preprocessing techniques
  • Image enhancement and correction methods
  • Digital image classification for land cover mapping

Module 5: Forest Change Detection using Remote Sensing

  • Techniques for detecting and quantifying forest changes
  • Time-series analysis and forest disturbance mapping
  • Monitoring deforestation and forest degradation using remote sensing

Module 6: GIS for Forest Management

  • Introduction to Geographic Information Systems (GIS)
  • Spatial data analysis and manipulation in GIS
  • Spatial modeling and decision-making for forest management

Module 7: Forest Inventory and Monitoring using GIS

  • Forest inventory techniques and data collection methods
  • Designing and implementing forest monitoring programs
  • Integrating field data with GIS for forest inventory analysis

Module 8: Forest Resource Mapping and Assessment

  • Mapping forest cover types and vegetation indices
  • Estimating forest biomass and carbon stocks
  • Analyzing forest fragmentation and landscape patterns

Module 9: Biodiversity Assessment and Conservation Planning

  • Assessing biodiversity using GIS and remote sensing tools
  • Habitat suitability modeling and conservation prioritization
  • Monitoring biodiversity indicators for sustainable forest management

Module 10: Forest Fire Detection and Monitoring

  • Remote sensing-based fire detection techniques
  • Mapping fire risk and severity using GIS
  • Monitoring fire events and post-fire recovery

Module 11: Watershed Management and Hydrological Analysis

  • Watershed delineation and stream network extraction
  • Analysis of hydrological parameters using GIS
  • Identifying sensitive areas for water resource management

Module 12: Forest Health Monitoring and Pest Detection

  • Remote sensing for early detection of forest pests and diseases
  • Mapping and monitoring forest health indicators
  • Using GIS for integrated pest management in forests

Module 13: Land Use Planning and Forest Zoning

  • Land use mapping and classification using GIS
  • Spatial analysis for forest zoning and land allocation
  • Participatory approaches in land use planning

Module 14: Climate Change and Carbon Sequestration Analysis

  • Remote sensing-based assessment of carbon stocks
  • Monitoring and mapping carbon sequestration rates
  • Analyzing climate change impacts on forests using GIS

Module 15: Forest Conservation and Protected Area Management

  • Mapping and monitoring protected areas using GIS
  • Spatial analysis for conservation planning and management
  • Integration of socioeconomic data in conservation strategies

Module 16: Forest Policy and Decision Support Systems

  • Role of GIS and remote sensing in forest policy-making
  • Decision support systems for sustainable forest management
  • Developing forest management plans using GIS

Module 17: Geospatial Technologies for Forest Certification

  • Introduction to forest certification systems
  • Integration of geospatial technologies in certification processes
  • Ensuring sustainable forest practices through certification

Module 18: Participatory Mapping and Community Engagement

  • Participatory mapping techniques for community involvement
  • Engaging local communities in forest monitoring and management
  • Integrating traditional knowledge with GIS and remote sensing data

Module 19: Case Studies and Best Practices

  • Examination of real-world applications of GIS and remote sensing in forest monitoring and management
  • Review of successful projects and best practices
  • Discussion of challenges and lessons learned

Module 20: Practical Exercises and Project Work

  • Hands-on exercises to reinforce learning
  • Project work applying GIS and remote sensing techniques to forest monitoring and management scenarios
  • Presentation and discussion of project outcomes

General Notes

·         All our courses can be Tailor-made to participants' needs

·         The participant must be conversant in English

·         Presentations are well-guided, practical exercises, web-based tutorials, and group work. Our facilitators are experts with more than 10 years of experience.

·         Upon completion of training the participant will be issued with a Foscore development center certificate (FDC-K)

·         Training will be done at the Foscore development center (FDC-K) centers. We also offer inhouse and online training on the client schedule

·         Course duration is flexible and the contents can be modified to fit any number of days.

·         The course fee for onsite training includes facilitation training materials, 2 coffee breaks, a buffet lunch, and a Certificate of successful completion of Training. Participants will be responsible for their own travel expenses and arrangements, airport transfers, visa application dinners, health/accident insurance, and other personal expenses.

·         Accommodation, pickup, freight booking, and Visa processing arrangement, are done on request, at discounted prices.

·         Tablet and Laptops are provided to participants on request as an add-on cost to the training fee.

·         One-year free Consultation and Coaching provided after the course.

·         Register as a group of more than two and enjoy a discount of (10% to 50%)

·         Payment should be done before commence of the training or as agreed by the parties, to the FOSCORE DEVELOPMENT CENTER account, so as to enable us to prepare better for you.

·         For any inquiries reach us at training@fdc-k.org or +254712260031

 

 

·         Website:www.fdc-k.org

Foscore Development Center |Training Courses | Monitoring and Evaluation|Data Analysis|Market Research |M&E Consultancy |ICT Services |Mobile Data Collection | ODK Course | KoboToolBox | GIS and Environment |Agricultural Services |Business Analytics specializing in short courses in GIS, Monitoring and Evaluation (M&E), Data Management, Data Analysis, Research, Social Development, Community Development, Finance Management, Finance Analysis, Humanitarian and Agriculture, Mobile data Collection, Mobile data Collection training, Mobile data Collection training Nairobi, Mobile data Collection training Kenya, ODK, ODK training, ODK training Nairobi, ODK training Kenya, Open Data Kit, Open Data Kit training, Open Data Kit Training, capacity building, consultancy and talent development solutions for individuals and organisations, through our highly customised courses and experienced consultants, in a wide array of disciplines

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