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Nyo Me Htun

affiliation not provided to SSRN

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SCHOLARLY PAPERS

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Scholarly Papers (1)

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Estimation of Carbon Stock in Living Biomass Using a Multi-Sensor Machine Learning Framework in Silviculturally Treated Forests in Northern Japan

Number of pages: 33 Posted: 04 May 2026
Nyo Me Htun, Toshiaki Owari, Satoshi N. Suzuki, Songqiu Deng, Tetsuyuki Kobayashi, Sakura Asato, Akio Oshima, Mutsuki Hirama, Koichi Takahashi, Yasuo Isozaki, Takumi Okahira, Ryota Konda, Satoshi Kita and Manato Fushimi
affiliation not provided to SSRN, University of Tokyo, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
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carbon stock, silviculturally treated forests, multi-sensor, machining learning