| Comparing individual tree height information derived from field surveys, LiDAR and UAV-DAP for high-value timber species in Northern Japan KT Moe, T Owari, N Furuya, T Hiroshima Forests 11 (2), 223, 2020 | 90 | 2020 |
| Economic contribution of non-timber forest products (NTFPs) to rural livelihoods in the Tharawady District of Myanmar KT Moe, J Liu International journal of sciences 2 (01), 12-21, 2016 | 45 | 2016 |
| Application of UAV photogrammetry with LiDAR data to facilitate the estimation of tree locations and DBH values for high-value timber species in northern Japanese mixed-wood … KT Moe, T Owari, N Furuya, T Hiroshima, J Morimoto Remote Sensing 12 (17), 2865, 2020 | 31 | 2020 |
| Predicting individual tree growth of high-value timber species in mixed conifer-broadleaf forests in northern Japan using long-term forest measurement data K Thu Moe, T Owari Journal of Forest Research 25 (4), 242-249, 2020 | 8 | 2020 |
| Sustainability of high-value timber species in mixed conifer–broadleaf forest managed under selection system in northern Japan KT Moe, T Owari Forests 11 (5), 484, 2020 | 8 | 2020 |
| Measuring tree height of high-value timber species using LiDAR, UAV-DAP, and ground survey: A comparative analysis KT Moe, F Naoyuki, H Takuya 日本森林学会大会発表データベース 第 131 回日本森林学会大会, 406, 2020 | | 2020 |
| Quantifying individual tree parameters of large-sized high-value trees using unmanned aerial vehicle (UAV) KT Moe, N Furuya 日本森林学会大会発表データベース 第 130 回日本森林学会大会, 244, 2019 | | 2019 |
| Growth of high-value timber species in natural forests under selection system in northern Japan K Hisatomi, O Hitomi 日本森林学会大会発表データベース 第 129 回日本森林学会大会, 251, 2018 | | 2018 |
