Predicting The Spatial Patterns Of Red Cypress Inversely From Positive Effects Of Topographic Obstacles On Fir. - Bao-Hua Shao; Nan-Chang Lo; Kai-Yi Huang (IGARSS, 2019)

Challenges in Designing Workflows for Establishing Species Distribution Models of Invasive Alien Plant. - Chin-Rou Hsu; Chin-Jin Kuo; Bao-Hua Shao; Nan-Chang Lo; Kai-Yi Huang (IGARSS, 2022)

Applying Computer Vision to Distinguish The Spatial Distribution of Mlkania Micrantha Via Multitemporal Uav Images. - Chin-Jin Kuo; Bao-Hua Shao; Nan-Chang Lo; Kai-Yi Huang (IGARSS, 2022)

Extrapolating the Spatial Distribution of Endemic fir Reversely from the Windbreak Effect of Terrain-Shelterbelt on Red Cypress. - Bao-Hua Shao; Hung Li; Nan-Chang Lo; Kai-Yi Huang (IGARSS, 2022)

Data Quality Assessment of Mobile Positioning and the Major Impact on Location Intelligence. - Jia-Syuan Wu; Chin-Rou Shu; Bao-Hua Shao; Nan-Chang Lo; Kai-Yi Huang (IGARSS, 2022)

In-Depth Mining Spatial Pattern Of Invasive Alien Species By Deep Learning From Phenological-Based Drone Images. - Hao-Yuan Hung; Chin-Rou Hsu; Bao-Hua Shao; Nan-Chang Lo; Kai-Yi Huang (IGARSS, 2023)

Delve into the Impact of Object's Location Intelligence on the Species Distribution Modeling via Deep Learning. - Chin-Jin Kuo; Bao-Hua Shao; Nan-Chang Lo; Kai-Yi Huang (IGARSS, 2023)

Surf and Turf: Two-Way Spatial Extrapolation Utilizing Drone-Based Monitoring Phenology of Sea-Land Invasive Alien Species. - Hao-Yuan Hung; Chin-Jin Kuo; Bao-Hua Shao; Nan-Chang Lo; Kai-Yi Huang (IGARSS, 2024)