Qian Sun

Orcid: 0000-0001-6154-5985

Affiliations:
  • Yangzhou University, Yangzhou, China


According to our database1, Qian Sun authored at least 15 papers between 2019 and 2024.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
A new approach to extract the upright maize straw from Sentinel-2 satellite imagery using new straw indices.
Comput. Electron. Agric., January, 2024

Mapping Land-Cover Dynamics in Arid Regions Using Spectral Mixture Analysis and Representative Training Samples.
IEEE Trans. Geosci. Remote. Sens., 2024

A spectral index for estimating grain filling rate of winter wheat using UAV-based hyperspectral images.
Comput. Electron. Agric., 2024

Hyperspectral Estimation of Organic Matter Content in Topsoil of Various Soil Types.
Proceedings of the IGARSS 2024, 2024

2023
Estimation of canopy nitrogen nutrient status in lodging maize using unmanned aerial vehicles hyperspectral data.
Ecol. Informatics, December, 2023

Monitoring maize lodging severity based on multi-temporal Sentinel-1 images using Time-weighted Dynamic time Warping.
Comput. Electron. Agric., December, 2023

Comparison of the performance of Multi-source Three-dimensional structural data in the application of monitoring maize lodging.
Comput. Electron. Agric., May, 2023

2022
Monitoring Lodging Extents of Maize Crop Using Multitemporal GF-1 Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Monitoring maize canopy chlorophyll density under lodging stress based on UAV hyperspectral imagery.
Comput. Electron. Agric., 2022

A new comprehensive index for monitoring maize lodging severity using UAV-based multi-spectral imagery.
Comput. Electron. Agric., 2022

Monitoring the Spatio-Temporal Changes of Non-Cultivated Land via Long-Time Series Remote Sensing Images in Xinghua.
IEEE Access, 2022

2021
Analysis of the Spatial and Temporal Pattern of Changes in Abandoned Farmland Based on Long Time Series of Remote Sensing Data.
Remote. Sens., 2021

Assessing the Self-Recovery Ability of Maize after Lodging Using UAV-LiDAR Data.
Remote. Sens., 2021

2019
Hyperspectral inversion of soil organic matter content in cultivated land based on wavelet transform.
Comput. Electron. Agric., 2019

Monitoring Maize Lodging Disaster Via Multi-Temporal Remote Sensing Images.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019


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