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Topic outline
Forests area change estimates are crucial for estimating forest-related emissions and removals in the REDD+ context. This two-lesson course emphasize that the use of rigorous activity data, produced according to good practices, is key to meeting monitoring, verification and reporting (MRV) requirements of REDD+ programmes and standards.
Following good practices in area estimation based on the stratification derived from a forest change map, the first lesson introduces the sample-based area estimation (SBAE) workflow. The second lesson advances the learner using a stepwise approach to conducting a SBAE. In doing so accuracy is assessed following good practices and confidence intervals (a common technical requirement in REDD+ Programmes and Standards) are calculated.
This course is designed for people working on technical teams within national or technical agencies or institutes responsible for REDD+ measurement, reporting and verification (MRV). This course will benefit those working in:
- Ministry or national government
- Forest government entities
- Technical agencies or institutes
- The main sources of emissions/removals factors.
- The main approaches to deliver activity data from remote sensing. use of wetlands around the globe.
- How to assess the accuracy of a categorical forest change map, identifying potential classification errors.
- How to generate sample-based area estimation (SBAE) for stratification purposes.
This course consists of two lessons:
- Lesson 1 – The theory behind area estimation
- Lesson 2 – Implementing a practical example of area estimation
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Digital certification
This course offers certification. You will get your digital badge upon passing a final exam after completing the course and achieving a grade of at least 75%. Please click on the button below to complete the exam, or refer to our Certification section to learn more.
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