Forest Monitoring with CLASlite

Description

The “Forest Monitoring with CLASlite” course provides participants with essential skills and knowledge for using CLASlite software in monitoring and assessing forest cover and change. CLASlite (Carnegie Landsat Analysis System – lite) is a remote sensing tool designed to analyze satellite imagery and detect deforestation, forest degradation, and land use changes in tropical forests. This course covers the fundamentals of satellite remote sensing, data processing techniques, and practical applications of CLASlite for forest monitoring and conservation efforts.

Learning Objectives

By the end of this course, participants will be able to:

1. Understand Remote Sensing Principles: Gain a foundational understanding of satellite remote sensing principles and technologies.
2. Use CLASlite Software: Learn to use CLASlite software for analyzing Landsat satellite imagery and detecting forest cover changes.
3. Monitor Deforestation and Degradation: Develop skills to monitor deforestation, forest degradation, and land use changes in tropical forests using CLASlite.
4. Interpret Satellite Imagery: Acquire proficiency in interpreting satellite imagery and extracting meaningful information related to forest dynamics.
5. Apply Data Analysis Techniques: Apply data analysis techniques and algorithms within CLASlite to quantify forest cover loss and gain over time.
6. Integrate Monitoring Results: Integrate CLASlite monitoring results into forest management and conservation planning efforts.
7. Stay Informed on Best Practices: Stay updated on best practices, case studies, and emerging technologies in forest monitoring using remote sensing.

Course Content

The course is structured into the following comprehensive modules:

1. Introduction to Remote Sensing and CLASlite:
   • Overview of satellite remote sensing principles and applications
   • Introduction to CLASlite software and its capabilities for forest monitoring
2. Data Acquisition and Preprocessing:
   • Satellite data sources: Landsat imagery and other remote sensing datasets
   • Preprocessing steps: calibration, atmospheric correction, and image enhancement
3. Using CLASlite for Forest Monitoring:
   • Deforestation detection algorithms and methods
   • Forest degradation assessment and monitoring techniques
4. Interpreting Satellite Imagery:
   • Techniques for visual interpretation of satellite images
   • Identifying forest cover changes, disturbances, and land use transitions
5. Analyzing CLASlite Outputs:
   • Quantitative analysis of forest cover loss and gain
   • Spatial analysis and mapping of deforestation hotspots and trends
6. Case Studies and Applications:
   • Case studies demonstrating the use of CLASlite in monitoring tropical forests
   • Applications in conservation planning, biodiversity assessment, and carbon accounting
7. Integration with Forest Management:
   • Integrating CLASlite monitoring results into sustainable forest management practices
   • Policy implications and decision-making support using CLASlite data

Who Should Enroll

This course is ideal for:

• Forest Managers and Conservation Practitioners: Professionals involved in forest management, conservation, and biodiversity monitoring.
• Remote Sensing Analysts and GIS Specialists: Individuals interested in utilizing satellite imagery and remote sensing tools for environmental monitoring.
• Researchers and Academics: Scholars and researchers studying forest dynamics, land use change, and ecosystem services.
• Government Officials and Policy Makers: Decision-makers involved in environmental policy development and natural resource management.
• Students and Educators: Those studying or teaching environmental science, forestry, geography, or related disciplines.

Course Format

The course delivery includes lectures, hands-on exercises, case studies, and practical demonstrations using CLASlite software. Participants will have access to resources such as lecture materials, software tutorials, datasets, and a platform for collaboration and networking.