Xinyu Li
Orcid: 0000-0001-6678-8660Affiliations:
- Central South University of Forestry and Technology, Research Center of Forestry Remote Sensing and Information Engineering, Changsha, China
- Hunan First Normal University, School of Computer Science, Changsha, China
According to our database1,
Xinyu Li
authored at least 9 papers
between 2020 and 2022.
Collaborative distances:
Collaborative distances:
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Bibliography
2022
Inversion of Coniferous Forest Stock Volume Based on Backscatter and InSAR Coherence Factors of Sentinel-1 Hyper-Temporal Images and Spectral Variables of Landsat 8 OLI.
Remote. Sens., 2022
2021
A Combined Strategy of Improved Variable Selection and Ensemble Algorithm to Map the Growing Stem Volume of Planted Coniferous Forest.
Remote. Sens., 2021
A Novel Method for Estimating Spatial Distribution of Forest Above-Ground Biomass Based on Multispectral Fusion Data and Ensemble Learning Algorithm.
Remote. Sens., 2021
Mapping the Growing Stem Volume of the Coniferous Plantations in North China Using Multispectral Data from Integrated GF-2 and Sentinel-2 Images and an Optimized Feature Variable Selection Method.
Remote. Sens., 2021
Coniferous Plantations Growing Stock Volume Estimation Using Advanced Remote Sensing Algorithms and Various Fused Data.
Remote. Sens., 2021
Mapping the vegetation distribution and dynamics of a wetland using adaptive-stacking and Google Earth Engine based on multi-source remote sensing data.
Int. J. Appl. Earth Obs. Geoinformation, 2021
2020
Classification of Paddy Rice Using a Stacked Generalization Approach and the Spectral Mixture Method Based on MODIS Time Series.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Estimating the Growing Stem Volume of Chinese Pine and Larch Plantations based on Fused Optical Data Using an Improved Variable Screening Method and Stacking Algorithm.
Remote. Sens., 2020
Mapping wetland using the object-based stacked generalization method based on multi-temporal optical and SAR data.
Int. J. Appl. Earth Obs. Geoinformation, 2020