Scenario-based Reference Level Setting for Reducing Emissions from Deforestation and Forest Degradation (REDD): A Case Study in Kampar, Indonesia (인도네시아 깜빠르 지역의 탄소저감을 위한 시나리오별 기준선 설정 연구)

Kim, Oh Seok (김오석); 한기주

doi:10.16879/jkca.2015.15.1.059

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

Journal of the Korean Cartographic Association
Abbr : JKCA
2015, 15(1), pp.59-68
DOI : 10.16879/jkca.2015.15.1.059
Publisher : The Korean Cartographic Association
Research Area : Social Science > Geography > Geography in general > Cartography

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.

KEYWORDS

Deforestation, Forest degradation, Carbon emission, Reference level, REDD, Indonesia

Citation status

* References for papers published after 2023 are currently being built.

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Journal of the Korean Cartographic Association 2023 KCI Impact Factor : 1.34

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

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Cartographic Association 2023 KCI Impact Factor : 1.34

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

ABSTRACT

KEYWORDS

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