Chenwei Nie

Orcid: 0000-0002-0090-673X

According to our database1, Chenwei Nie authored at least 14 papers between 2013 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Estimating leaf age of maize seedlings using UAV-based RGB and multispectral images.
Comput. Electron. Agric., December, 2023

Quantifying effect of maize tassels on LAI estimation based on multispectral imagery and machine learning methods.
Comput. Electron. Agric., August, 2023

UAV multispectral images for accurate estimation of the maize LAI considering the effect of soil background.
Int. J. Appl. Earth Obs. Geoinformation, 2023

Mapping Rice Area Using Sentinel-1 SAR Data and Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Maize Canopy and Leaf Chlorophyll Content Assessment from Leaf Spectral Reflectance: Estimation and Uncertainty Analysis across Growth Stages and Vertical Distribution.
Remote. Sens., 2022

Maize tassel area dynamic monitoring based on near-ground and UAV RGB images by U-Net model.
Comput. Electron. Agric., 2022

2021
Detection and Analysis of Degree of Maize Lodging Using UAV-RGB Image Multi-Feature Factors and Various Classification Methods.
ISPRS Int. J. Geo Inf., 2021

2019
Entrance Pupil Irradiance Estimating Model for a Moon-Based Earth Radiation Observatory Instrument.
Remote. Sens., 2019

2017
A Bayesian Network Model for Yellow Rust Forecasting in Winter Wheat.
Proceedings of the Computer and Computing Technologies in Agriculture XI, 2017

2016
A simulation method for thermal infrared irradiance of Land surface from the Lunar.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2014
Integrating Remotely Sensed and Meteorological Observations to Forecast Wheat Powdery Mildew at a Regional Scale.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Damage Mapping of Powdery Mildew in Winter Wheat with High-Resolution Satellite Image.
Remote. Sens., 2014

Comparison of Methods for Forecasting Yellow Rust in Winter Wheat at Regional Scale.
Proceedings of the Computer and Computing Technologies in Agriculture VIII, 2014

2013
Selection of Spectral Channels for Satellite Sensors in Monitoring Yellow Rust Disease of Winter Wheat.
Intell. Autom. Soft Comput., 2013


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