Bao-Hua Shao

According to our database, Bao-Hua Shao authored at least 7 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2019

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

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019