Riqiang Chen
Orcid: 0000-0002-7828-1645
According to our database1,
Riqiang Chen
authored at least 26 papers
between 2019 and 2024.
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Bibliography
2024
Mapping Fruit-Tree Plantation Using Sentinel-1/2 Time Series Images with Multi-Index Entropy Weighting Dynamic Time Warping Method.
Remote. Sens., September, 2024
Estimation of Maize Biomass at Multi-Growing Stage Using Stem and Leaf Separation Strategies with 3D Radiative Transfer Model and CNN Transfer Learning.
Remote. Sens., August, 2024
Automatic Rice Early-Season Mapping Based on Simple Non-Iterative Clustering and Multi-Source Remote Sensing Images.
Remote. Sens., January, 2024
Removal of canopy shadows improved retrieval accuracy of individual apple tree crowns LAI and chlorophyll content using UAV multispectral imagery and PROSAIL model.
Comput. Electron. Agric., 2024
Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data.
Comput. Electron. Agric., 2024
Improving potato above ground biomass estimation combining hyperspectral data and harmonic decomposition techniques.
Comput. Electron. Agric., 2024
Estimating potato above-ground biomass based on vegetation indices and texture features constructed from sensitive bands of UAV hyperspectral imagery.
Comput. Electron. Agric., 2024
Estimation of potato yield using a semi-mechanistic model developed by proximal remote sensing and environmental variables.
Comput. Electron. Agric., 2024
An orchard mapping index and mapping algorithm coupling orchard phenology and green-holding characteristics from time-series sentinel-2 images.
Comput. Electron. Agric., 2024
A novel framework to assess apple leaf nitrogen content: Fusion of hyperspectral reflectance and phenology information through deep learning.
Comput. Electron. Agric., 2024
A model suitable for estimating above-ground biomass of potatoes at different regional levels.
Comput. Electron. Agric., 2024
2023
Orchard classification based on super-pixels and deep learning with sparse optical images.
Comput. Electron. Agric., December, 2023
Identification of the Initial Anthesis of Soybean Varieties Based on UAV Multispectral Time-Series Images.
Remote. Sens., November, 2023
Comput. Electron. Agric., November, 2023
Estimation of Soybean Yield by Combining Maturity Group Information and Unmanned Aerial Vehicle Multi-Sensor Data Using Machine Learning.
Remote. Sens., September, 2023
Mapping tea plantations using multitemporal spectral features by harmonised Sentinel-2 and Landsat images in Yingde, China.
Comput. Electron. Agric., September, 2023
Using an optimized texture index to monitor the nitrogen content of potato plants over multiple growth stages.
Comput. Electron. Agric., September, 2023
Land-Use Mapping with Multi-Temporal Sentinel Images Based on Google Earth Engine in Southern Xinjiang Uygur Autonomous Region, China.
Remote. Sens., August, 2023
Maize Ear Height and Ear-Plant Height Ratio Estimation with LiDAR Data and Vertical Leaf Area Profile.
Remote. Sens., February, 2023
Evaluation of the effect of leaf spatial aggregation on chlorophyll content retrieval in open-canopy apple orchards.
Int. J. Appl. Earth Obs. Geoinformation, 2023
2022
Extraction of Maize Leaf Base and Inclination Angles Using Terrestrial Laser Scanning (TLS) Data.
IEEE Trans. Geosci. Remote. Sens., 2022
Predicting individual apple tree yield using UAV multi-source remote sensing data and ensemble learning.
Comput. Electron. Agric., 2022
Estimation of crop residue cover in rice paddies by a dynamic-quadripartite pixel model based on Sentinel-2A data.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
Estimation of Apple Flowering Frost Loss for Fruit Yield Based on Gridded Meteorological and Remote Sensing Data in Luochuan, Shaanxi Province, China.
Remote. Sens., 2021
2020
Apple Tree Branch Information Extraction from Terrestrial Laser Scanning and Backpack-LiDAR.
Remote. Sens., 2020
2019
Estimation of Leaf Area Index of Winter Wheat Based on Hyperspectral Data of Unmanned Aerial Vehicles.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019