Guangman Song

According to our database, Guangman Song authored at least 11 papers between 2021 and 2024.

Collaborative distances:

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

2024

Non-Destructive Estimation of Deciduous Forest Metrics: Comparisons between UAV-LiDAR, UAV-DAP, and Terrestrial LiDAR Leaf-Off Point Clouds Using Two QSMs.

Yi Gan, Quan Wang, Guangman Song

Remote. Sens., February, 2024

Structural Complexity Significantly Impacts Canopy Reflectance Simulations as Revealed from Reconstructed and Sentinel-2-Monitored Scenes in a Temperate Deciduous Forest.

Yi Gan, Quan Wang, Guangman Song

Remote. Sens., 2024

2023

Reshaping Leaf-Level Reflectance Data for Plant Species Discrimination: Exploring Image Shape's Impact on Deep Learning Results.

Shaoxiong Yuan, Guangman Song, Qinghua Gong, Quan Wang, Jun Wang, Jun Chen

Remote. Sens., December, 2023

Validating and Developing Hyperspectral Indices for Tracing Leaf Chlorophyll Fluorescence Parameters under Varying Light Conditions.

Jie Zhuang, Quan Wang, Guangman Song, Jia Jin

Remote. Sens., October, 2023

Species classification from hyperspectral leaf information using machine learning approaches.

Guangman Song, Quan Wang

Ecol. Informatics, September, 2023

Estimation of leaf photosynthetic capacity parameters using spectral indices developed from fractional-order derivatives.

Guangman Song, Quan Wang, Jia Jin

Comput. Electron. Agric., September, 2023

Fractional-Order Derivative Spectral Transformations Improved Partial Least Squares Regression Estimation of Photosynthetic Capacity From Hyperspectral Reflectance.

Guangman Song, Quan Wang, Jia Jin

IEEE Trans. Geosci. Remote. Sens., 2023

2022

Reshaping Hyperspectral Data into a Two-Dimensional Image for a CNN Model to Classify Plant Species from Reflectance.

Shaoxiong Yuan, Guangman Song, Guangqing Huang, Quan Wang

Remote. Sens., 2022

Developing Hyperspectral Indices for Assessing Seasonal Variations in the Ratio of Chlorophyll to Carotenoid in Deciduous Forests.

Guangman Song, Quan Wang

Remote. Sens., 2022

Genetic Algorithm Captured the Informative Bands for Partial Least Squares Regression Better on Retrieving Leaf Nitrogen from Hyperspectral Reflectance.

Jia Jin, Mengjuan Wu, Guangman Song, Quan Wang

Remote. Sens., 2022

2021

Including Leaf Traits Improves a Deep Neural Network Model for Predicting Photosynthetic Capacity from Reflectance.

Guangman Song, Quan Wang

Remote. Sens., 2021