Yao Zhang
Orcid: 0000-0002-3818-1164Affiliations:
- China Agricultural University, MOE Key Laboratory of Modern Precision Agriculture System Integration Research, Beijing, China (PhD 2017)
According to our database1,
Yao Zhang authored at least 13 papers
between 2018 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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on orcid.org
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Bibliography
2026
A spectral synergy correction model: Optimizing satellite spectra for improved soil organic carbon monitoring.
Comput. Electron. Agric., 2026
2025
A leaf chlorophyll vegetation index with reduced LAI effect based on Sentinel-2 multispectral red-edge information.
Comput. Electron. Agric., 2025
2023
Winter wheat yield prediction using integrated Landsat 8 and Sentinel-2 vegetation index time-series data and machine learning algorithms.
Comput. Electron. Agric., October, 2023
Landsat 8 and Sentinel-2 Fused Dataset for High Spatial-Temporal Resolution Monitoring of Farmland in China's Diverse Latitudes.
Remote. Sens., 2023
2022
Decameter Cropland LAI/FPAR Estimation From Sentinel-2 Imagery Using Google Earth Engine.
IEEE Trans. Geosci. Remote. Sens., 2022
UAV Remote Sensing Prediction Method of Winter Wheat Yield Based on the Fused Features of Crop and Soil.
Remote. Sens., 2022
Winter Wheat Yield Estimation Based on Optimal Weighted Vegetation Index and BHT-ARIMA Model.
Remote. Sens., 2022
Winter wheat and soil total nitrogen integrated monitoring based on canopy hyperspectral feature selection and fusion.
Comput. Electron. Agric., 2022
Estimation of chlorophyll distribution in banana canopy based on RGB-NIR image correction for uneven illumination.
Comput. Electron. Agric., 2022
2021
Remote. Sens., 2021
2019
Remote. Sens., 2019
Retrieval of Leaf Nitrogen Concentration in Winter Wheat Using Red Edge Band and Artificial Neural Network.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Optimal Hyperspectral Characteristics Determination for Winter Wheat Yield Prediction.
Remote. Sens., 2018