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Abstract: High-Resolution SOC Stock Mapping Using NIR Spectroscopy and Machine Learning: A Robust Baseline for Local Carbon Accounting in Gyeonggi Province, South Korea (AGU25)

High-Resolution SOC Stock Mapping Using NIR Spectroscopy and Machine Learning: A Robust Baseline for Local Carbon Accounting in Gyeonggi Province, South Korea

Inhye Seo1, Jeehwan Bae2, JUN GE Hyun3 and Gayoung Yoo3, (1)Kyung Hee University, Department of Applied Environmental Science, Yongin, Korea, Republic of (South), (2)Kyung Hee University, Department of Environmental Science and Engineering, Yongin, South Korea, (3)Kyung Hee University, Department of Environmental Science and Engineering, Yongin-si, Gyeonggi-do, South Korea
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