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Scenario-based Reference Level Setting for Reducing Emissions from Deforestation and Forest Degradation (REDD): A Case Study in Kampar, Indonesia

Kim, Oh Seok 1 한기주 2

1한국환경정책·평가연구원
2㈜생태서비스컨설팅

Accredited

ABSTRACT

The research introduces a scenario-based methodology to set REDD reference levels that is built based on remotely sensed data and raster calculation. REDD (Reducing Emissions from Deforestation and forest Degradation) is a global environmental policy that is geared towards lowering carbon emissions in developing and least developed countries through saving forests that are vulnerable to future threats, and a “reference level” refers to simulated baseline carbon emissions for the future under a business-as-usual scenario. Through a case study in Kampar, Indonesia, three reference levels are calibrated reflecting different land-use scenarios. Land-use and land-cover maps are produced by classifying Landsat images; the classification outcomes, accompanied by peer-reviewed biomass maps, are employed to construct the reference levels. It turns out that forest biomass loss due to forest degradation is more severe than the loss due to deforestation. Because it was designed based on internationally approved REDD guidelines the methodology invented in this research will be useful in implementing an actual REDD project.

Citation status

* References for papers published after 2022 are currently being built.