Ruiyang Yu

发表

Visualization of Chlorophyll Content Distribution in Apple Leaves Based on Hyperspectral Imaging Technology

Guijun Yang, Xicun Zhu, Y. Jiang, 2019, Agricultural Sciences.

The Global LAnd Surface Satellite (GLASS) Evapotranspiration Product Version 5.0: Algorithm development and preliminary validation

S. Liang, J. Fisher, K. Jia, 2022, Journal of Hydrology.

A novel TIR-derived three-source energy balance model for estimating daily latent heat flux in mainland China using an all-weather land surface temperature product

J. Fisher, Jiquan Chen, Jie Cheng, 2022, Agricultural and Forest Meteorology.

Identification of Specific Pathogen-Infected sRNA-Mediated Interactions between Turnip Yellows Virus and Arabidopsis thaliana

Hailong Hu, Xinghuo Ye, Ruiyang Yu, 2022, Current issues in molecular biology.

Extraction of Information about Individual Trees from High-Spatial-Resolution UAV-Acquired Images of an Orchard

Xinyu Dong, Ruiyang Yu, Qingjiu Tian, 2020, Remote. Sens..

DNN-MET: A deep neural networks method to integrate satellite-derived evapotranspiration products, eddy covariance observations and ancillary information

S. Liang, J. Fisher, Jiquan Chen, 2021 .

Satellite-Derived Estimation of Grassland Aboveground Biomass in the Three-River Headwaters Region of China during 1982-2018

Huawei Wan, Xiaozheng Guo, Ke Shang, 2021, Remote. Sens..

Simplified Priestley-Taylor Model to Estimate Land-Surface Latent Heat of Evapotranspiration from Incident Shortwave Radiation, Satellite Vegetation Index, and Air Relative Humidity

Xiaotong Zhang, Zhiqiang Xiao, Kun Jia, 2021, Remote. Sens..

Estimation of Nitrogen Content on Apple Tree Canopy through Red-Edge Parameters from Fractional-Order Differential Operators using Hyperspectral Reflectance

Guijun Yang, Xicun Zhu, Y. Jiang, 2020, Journal of the Indian Society of Remote Sensing.

Simulated Reflectance of Apple Trees in Canopy Level Based on the PROSAIL Model and HJ-1A-HSI Data

Guijun Yang, Xicun Zhu, Y. Jiang, 2019 .

ERTFM: An Effective Model to Fuse Chinese GF-1 and MODIS Reflectance Data for Terrestrial Latent Heat Flux Estimation

Xiaozheng Guo, Lilin Zhang, Ke Shang, 2021, Remote. Sens..

Coupling physical constraints with machine learning for satellite-derived evapotranspiration of the Tibetan Plateau

J. Fisher, K. Jia, Yunjun Yao, 2023, Remote Sensing of Environment.

Inversion reflectance by apple tree canopy ground and unmanned aerial vehicle integrated remote sensing data

Guijun Yang, Xicun Zhu, Y. Jiang, 2021, Journal of Plant Research.

Coupling a light use efficiency model with a machine learning-based water constraint for predicting grassland gross primary production

J. Fisher, K. Jia, Yunjun Yao, 2023, Agricultural and Forest Meteorology.

Prediction Model of Nitrogen Content in Apple Leaves based on Ground Imaging Spectroscopy

Shujing Cao, Xicun Zhu, Ruiyang Yu, 2018 .

Estimation of Chlorophyll Content in Apple Leaves Based on Imaging Spectroscopy

Shujing Cao, Xicun Zhu, Gengxing Zhao, 2019, Journal of Applied Spectroscopy.

Evaluation of seven satellite-based and two reanalysis global terrestrial evapotranspiration products

Yunjun Yao, Yufu Li, Ke Shang, 2024, Journal of Hydrology.

Soil moisture at 30 m from multiple satellite datasets fused by random forest

J. Fisher, K. Jia, Yunjun Yao, 2023, Journal of Hydrology.

Evaluation of Six Satellite-Based Terrestrial Latent Heat Flux Products in the Vegetation Dominated Haihe River Basin of North China

Yunjun Yao, Xinxin Sui, Jing Ning, 2021, Forests.

Using Partial Cloud-Free Images to Improve Spatiotemporal Fusion for Terrestrial Latent Heat Flux: The Multiphase Self-Adaptive (MSA) Model

K. Jia, Yunjun Yao, Yufu Li, 2024, IEEE Transactions on Geoscience and Remote Sensing.

A Hybrid Index for Monitoring Burned Vegetation by Combining Image Texture Features with Vegetation Indices

Ruiyang Yu, Zijing Xie, Lu Liu, 2024, Remote. Sens..

Global Terrestrial Evapotranspiration Estimation from Visible Infrared Imaging Radiometer Suite (VIIRS) Data

Yunjun Yao, Ruiyang Yu, Zijing Xie, 2023, Remote. Sens..