Including Leaf Traits Improves a Deep Neural Network Model for Predicting Photosynthetic Capacity from Reflectance. - Guangman Song; Quan Wang 005 (Remote. Sens., 2021)

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 005 (Remote. Sens., 2022)

Developing Hyperspectral Indices for Assessing Seasonal Variations in the Ratio of Chlorophyll to Carotenoid in Deciduous Forests. - Guangman Song; Quan Wang 005 (Remote. Sens., 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 005 (Remote. Sens., 2022)

Fractional-Order Derivative Spectral Transformations Improved Partial Least Squares Regression Estimation of Photosynthetic Capacity From Hyperspectral Reflectance. - Guangman Song; Quan Wang 005; Jia Jin (IEEE Trans. Geosci. Remote. Sens., 2023)

Estimation of leaf photosynthetic capacity parameters using spectral indices developed from fractional-order derivatives. - Guangman Song; Quan Wang 005; Jia Jin (Comput. Electron. Agric., 2023)

Species classification from hyperspectral leaf information using machine learning approaches. - Guangman Song; Quan Wang 005 (Ecol. Informatics, 2023)

Validating and Developing Hyperspectral Indices for Tracing Leaf Chlorophyll Fluorescence Parameters under Varying Light Conditions. - Jie Zhuang; Quan Wang 005; Guangman Song; Jia Jin (Remote. Sens., 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 005; Jun Wang; Jun Chen (Remote. Sens., 2023)

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 005; Guangman Song (Remote. Sens., 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 005; Guangman Song (Remote. Sens., 2024)