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http://dx.doi.org/10.7780/kjrs.2021.37.5.1.1

Estimation of Carbon Absorption Distribution based on Satellite Image Considering Climate Change Scenarios  

Na, Sang-il (Climate Change Assessment Division, National Institute of Agricultural Sciences, Rural Development Administration)
Ahn, Ho-yong (Climate Change Assessment Division, National Institute of Agricultural Sciences, Rural Development Administration)
Ryu, Jae-Hyun (Climate Change Assessment Division, National Institute of Agricultural Sciences, Rural Development Administration)
So, Kyu-ho (Climate Change Assessment Division, National Institute of Agricultural Sciences, Rural Development Administration)
Lee, Kyung-do (Climate Change Assessment Division, National Institute of Agricultural Sciences, Rural Development Administration)
Publication Information
Korean Journal of Remote Sensing / v.37, no.5_1, 2021 , pp. 833-845 More about this Journal
Abstract
Quantification of carbon absorption and understanding the human induced land use changes forms one of the major study with respect to global climatic changes. An attempt study has been made to quantify the carbon absorption by land use changes through remote sensing technology. However, it focused on past carbon absorption changes. So prediction of future carbon absorption changes is insufficient. This study simulated land use change using the Conversion of Land Use and its Effects at Small regional extent (CLUE-S) model and predicted future changes in carbon absorption considering climate change scenarios 4.5 and 8.5 of the Representative Concentration Pathways (RCP). Results of this study, in the RCP 4.5 scenarios there predicted to be loss of 7.92% of carbon absorption, but in the RCP 8.5 scenarios was 13.02%. Therefore, the approach used in this study is expected to enable exploration of future carbon absorption change considering other climate change scenarios.
Keywords
Carbon absorption; Climate change scenarios; CLUE-S model; Remote sensing;
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