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 Forests. - Kyaw Thu Moe; Toshiaki Owari; Naoyuki Furuya; Takuya Hiroshima; Junko Morimoto (Remote. Sens., 2020)

Tree Species Mapping of a Hemiboreal Mixed Forest Using Mask R-CNN. - Tatsuki Yoshii; Chinsu Lin; Satoshi Tatsuhara; Satoshi Suzuki; Takuya Hiroshima (IGARSS, 2022)

Identifying Spatial Variation of Carbon Stock in a Warm Temperate Forest in Central Japan Using Sentinel-2 and Digital Elevation Model Data. - Huiqing Pei; Toshiaki Owari; Satoshi Tsuyuki; Takuya Hiroshima (Remote. Sens., 2023)

UAV Photogrammetry for Estimating Stand Parameters of an Old Japanese Larch Plantation Using Different Filtering Methods at Two Flight Altitudes. - Jeyavanan Karthigesu; Toshiaki Owari; Satoshi Tsuyuki; Takuya Hiroshima (Sensors, 2023)

Mapping the Distribution of High-Value Broadleaf Tree Crowns through Unmanned Aerial Vehicle Image Analysis Using Deep Learning. - Nyo Me Htun; Toshiaki Owari; Satoshi Tsuyuki; Takuya Hiroshima (Algorithms, 2024)

Integration of Structural Characteristics from GEDI Waveforms for Improved Forest Type Classification. - Mary M. McClure; Satoshi Tsuyuki; Takuya Hiroshima (Remote. Sens., 2024)

Improving the Estimation of Structural Parameters of a Mixed Conifer-Broadleaf Forest Using Structural, Textural, and Spectral Metrics Derived from Unmanned Aerial Vehicle Red Green Blue (RGB) Imagery. - Jeyavanan Karthigesu; Toshiaki Owari; Satoshi Tsuyuki; Takuya Hiroshima (Remote. Sens., 2024)

Combined gated graph convolution neural networks with multi-modal geospatial data for forest type classification. - Huiqing Pei; Toshiaki Owari; Satoshi Tsuyuki; Takuya Hiroshima; Danfeng Hong (Int. J. Appl. Earth Obs. Geoinformation, 2025)