Topic outline

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    • Welcome

      This curriculum brings together self-paced courses and selected resources from massive open online courses (MOOCs) on forest monitoring for climate action. You can choose between two learning methods:

      Option 1 – Take a single course:
      Complete any individual self-paced course to earn a digital badge. This option is ideal if you want to strengthen your knowledge of a specific topic.

      Option 2 – Follow a full learning path:
      Complete all mandatory courses within a learning path to earn the corresponding master badge. This option is recommended if you want to develop a more comprehensive understanding of the topic.

      Enjoy your learning!

    • LEARNING PATH

      Establishing a national forest monitoring system

      Total learning time: 3 hours

      Learn how to build a robust and sustainable national forest monitoring system (NFMS) to ensure transparent reporting under the Paris Agreement.

      To earn the master badge, you need to complete courses 1 and 2:

      COURSE 1

      Forests and transparency under the Paris Agreement

      Learn how to produce reliable and transparent forest data to meet the transparency requirements under the Paris Agreement.

      1h 30m
      COURSE 2

      Institutionalization of forest data

      Learn how to institutionalize an NFMS and the critical role of transparency, sustainability and data sharing.

      1h 30m
      Optional resources

      You may also explore additional materials originally developed for MOOC participants. These resources are optional and allow you to deepen your knowledge.

      MOOC
      Sharing the "Forests and Transparency under the Paris Agreement" MOOC multilingual experience
      MOOC
      Institutionalization of forest data - Learning journey
    • LEARNING PATH

      Conducting a national forest inventory

      Total learning time: 15 hours

      Learn how to plan, implement and sustain a national forest inventory (NFI) to produce reliable forest data over time.

      To earn the master badge, you must complete the MOOC. It is divided into three modules, each providing a separate badge: Field data collection, Sampling and data analysis, and Data management and reporting. The master badge is automatically awarded upon completion of all three modules.

      MOOC

      National forest inventory - Learning

      Learn how to prepare and conduct a forest inventory, design effective sampling surveys, apply key statistical concepts and tools, and manage, validate, and report high‑quality forest data for use at national and international levels.

      15h
      Optional resources

      You may also explore the NFI e-learning series which consists of 8 self-paced courses that served as the basis for the MOOC. This is an optional resource.

      SERIES
      National forest inventory
    • LEARNING PATH

      Measurement, reporting and verification requirements

      Total learning time: 4 hours and 45 minutes

      Learn about the measurement, reporting and verification (MRV) requirements for ensuring environmental integrity under the Reducing Emissions from Deforestation and forest Degradation.

      To earn the master badge, you need to complete courses 1 and 2:

      COURSE 1

      Measurement, reporting and verification for environmental integrity: Introduction

      Learn how to ensure environmental integrity and REDD+ compliance through robust MRV.

      1h
      COURSE 2

      Measurement, reporting and verification for environmental integrity: Application

      Learn how to conduct a sample-based area estimation (SBAE).

      3h 45m
    • LEARNING PATH

      Applying SEPAL

      Total learning time: 13 hours

      Learn how the System for earth observations, data access, processing and analysis for land monitoring (SEPAL) online platform can support land and forest monitoring for climate action.

      To earn the master badge, you need to take the MOOC materials and courses 1 and 2:

      MOOC

      Sharing the experience on “Forest and land monitoring for climate action – SEPAL” facilitated course

      Learn how to operationally apply high‑resolution satellite imagery to critical forest and land monitoring.

      10h
      COURSE 1

      Institutionalization of Forest Data

      Learn how to institutionalize an NFMS and the critical role of transparency, sustainability and data sharing.

      1h 30m
      COURSE 2

      Measurement, reporting and verification for environmental integrity: Introduction

      Learn how to ensure environmental integrity and REDD+ compliance through robust MRV.

      1h 30m
    • LEARNING PATH

      Uncertainty in estimating forest emissions - Forthcoming

      Total learning time: To be confirmed

      The Master Badge for this learning path will be available soon. In the meantime, you can enroll in the self-paced course, which is already available.

      To earn the master badge, you need to complete courses 1 and 2:

      COURSE 1

      Uncertainty in estimating forest emissions: Introduction to Monte Carlo

      Learn how to combine uncertainties in forest emissions estimates, primarily using the Monte Carlo simulation.

      2h 35m
      COURSE 2

      Uncertainty in estimating forest emissions: Application of Monte Carlo - Forthcoming

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