Shezhou Luo
Orcid: 0000-0002-2535-5188
According to our database1,
Shezhou Luo
authored at least 16 papers
between 2016 and 2021.
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Bibliography
2021
Remote. Sens., 2021
Comput. Electron. Agric., 2021
2020
Simulation-Based Evaluation of the Estimation Methods of Far-Red Solar-Induced Chlorophyll Fluorescence Escape Probability in Discontinuous Forest Canopies.
Remote. Sens., 2020
Angular effect in proximal sensing of leaf-level chlorophyll content using low-cost DIY visible/near-infrared camera.
Comput. Electron. Agric., 2020
2019
Assessing the Impacts of Various Factors on Treetop Detection Using LiDAR-Derived Canopy Height Models.
IEEE Trans. Geosci. Remote. Sens., 2019
Estimating the Aboveground Biomass for Planted Forests Based on Stand Age and Environmental Variables.
Remote. Sens., 2019
Estimating forest aboveground biomass using small-footprint full-waveform airborne LiDAR data.
Int. J. Appl. Earth Obs. Geoinformation, 2019
2018
Exploring the Influence of Various Factors on Slope Estimation Using Large-Footprint LiDAR Data.
IEEE Trans. Geosci. Remote. Sens., 2018
A Continuous Wavelet Transform Based Method for Ground Elevation Estimation Over Mountainous Vegetated Areas Using Satellite Laser Altimetry.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Comparative Performances of Airborne LiDAR Height and Intensity Data for Leaf Area Index Estimation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Comparison of Seven Inversion Models for Estimating Plant and Woody Area Indices of Leaf-on and Leaf-off Forest Canopy Using Explicit 3D Forest Scenes.
Remote. Sens., 2018
2017
Remote. Sens., 2017
Retrieving aboveground biomass of wetland Phragmites australis (common reed) using a combination of airborne discrete-return LiDAR and hyperspectral data.
Int. J. Appl. Earth Obs. Geoinformation, 2017
2016
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
Fusion of Airborne Discrete-Return LiDAR and Hyperspectral Data for Land Cover Classification.
Remote. Sens., 2016
Forest above Ground Biomass Inversion by Fusing GLAS with Optical Remote Sensing Data.
ISPRS Int. J. Geo Inf., 2016