Area of research
Ecology · Plant Science
Research interest
Research interests include Remote sensing, Environmental science, Leaf area index, Canopy, Multispectral image, and Hyperspectral imaging.
SIDEST: A sample-free framework for crop field boundary delineation by integrating super-resolution image reconstruction and dual edge-corrected Segment Anything model
Annual winter wheat mapping for unveiling spatiotemporal patterns in China with a knowledge-guided approach and multi-source datasets
A in-seasonal phenology monitoring approach for wheat breeding accessions with time-series RGB imagery by using a combination KNN-CNN-RF model
Visualizing the pre-visual: Rice blast infection signals revealed
Global retrieval of canopy chlorophyll content from Sentinel-3 OLCI TOA data using a two-step upscaling method integrating physical and machine learning models
A two-step approach to mitigating phenological influences on spectroscopic detection of rice blast and removing pseudo severity estimates in healthy plants
Prediction and mapping of tobacco yield with fresh leaf mass using hyperspectral sensing data
Integration of Multiscale Spectral Features as the Intermediate Variables for Improved Prediction of Grain Protein Concentration in Winter Wheat
ASROT: A Novel Resampling Algorithm to Balance Training Datasets for Classification of Minor Crops in High-Elevation Regions
Novel 3D photosynthetic traits derived from the fusion of UAV LiDAR point cloud and multispectral imagery in wheat
Enhancing fusarium head blight detection in wheat crops using hyperspectral indices and machine learning classifiers
HIDYM: A high-resolution gross primary productivity and dynamic harvest index based crop yield mapper
Spatio-temporal change of winter wheat yield and its quantitative responses to compound frost-dry events – An example of the Huang-Huai-Hai Plain of China from 2001 to 2020
Grain Protein Content Phenotyping in Rice via Hyperspectral Imaging Technology and a Genome-Wide Association Study
A chlorophyll-constrained semi-empirical model for estimating leaf area index using a red-edge vegetation index
Estimating Leaf Nitrogen Accumulation Considering Vertical Heterogeneity Using Multiangular Unmanned Aerial Vehicle Remote Sensing in Wheat
Improved generality of wheat green LAI models through mitigation of the effect of leaf chlorophyll content variation with red edge vegetation indices
A novel approach for estimating fractional cover of crops by correcting angular effect using radiative transfer models and UAV multi-angular spectral data
Winter wheat mapping without ground labels via automated knowledge transfer across regions and years
Wheat Yield Robust Prediction in the Huang-Huai-Hai Plain by Coupling Multi-Source Data with Ensemble Model under Different Irrigation and Extreme Weather Events
Monitoring Rice Leaf Nitrogen Content Based on the Canopy Structure Effect Corrected With a Novel Model PROSPECT-P
Estimating canopy nitrogen content by coupling PROSAIL-PRO with a nitrogen allocation model
Leveraging machine learning to discriminate wheat scab infection levels through hyperspectral reflectance and feature selection methods
Quantify Wheat Canopy Leaf Angle Distribution Using Terrestrial Laser Scanning Data
Improving the estimation accuracy of wheat maturity date by coupling WheatGrow with satellite images
Estimation of LAI of tobacco plant using selected spectral subsets of visible and near-infrared reflectance spectroscopy
A fully convolutional neural network model combined with a Hough transform to extract crop breeding field plots from UAV images
Corrigendum to “HIDYM: A high-resolution gross primary productivity and dynamic harvest index based crop yield mapper” [Remote Sensing of Environment, 2024, 114301]
A county-level soybean yield prediction framework coupled with XGBoost and multidimensional feature engineering
Automated in-season mapping of winter wheat in China with training data generation and model transfer