Yang Liu

Orcid: 0000-0003-3862-441X

Affiliations:
  • Beijing Academy of Agriculture and Forestry Sciences, Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture and Rural Affairs, Information Technology Research Center, China


According to our database1, Yang Liu authored at least 12 papers between 2022 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Mapping cropland rice residue cover using a radiative transfer model and deep learning.
Comput. Electron. Agric., December, 2023

Improved potato AGB estimates based on UAV RGB and hyperspectral images.
Comput. Electron. Agric., November, 2023

Estimating potato above-ground biomass by using integrated unmanned aerial system-based optical, structural, and textural canopy measurements.
Comput. Electron. Agric., October, 2023

Leaf area index estimation under wheat powdery mildew stress by integrating UAV‑based spectral, textural and structural features.
Comput. Electron. Agric., October, 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

Comparison of Different Dimensional Spectral Indices for Estimating Nitrogen Content of Potato Plants over Multiple Growth Periods.
Remote. Sens., February, 2023

2022
Estimation of Aboveground Biomass of Potatoes Based on Characteristic Variables Extracted from UAV Hyperspectral Imagery.
Remote. Sens., 2022

Estimation of Potato Above-Ground Biomass Using UAV-Based Hyperspectral images and Machine-Learning Regression.
Remote. Sens., 2022

Estimation of Potato Above-Ground Biomass Based on Vegetation Indices and Green-Edge Parameters Obtained from UAVs.
Remote. Sens., 2022

Comparison of Winter Wheat Yield Estimation Based on Near-Surface Hyperspectral and UAV Hyperspectral Remote Sensing Data.
Remote. Sens., 2022

Remote-sensing estimation of potato above-ground biomass based on spectral and spatial features extracted from high-definition digital camera images.
Comput. Electron. Agric., 2022


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