Liangsheng Shi

According to our database, Liangsheng Shi authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Mapping Crop Evapotranspiration by Combining the Unmixing and Weight Image Fusion Methods.

Xiaochun Zhang, Hongsi Gao, Liangsheng Shi, Xiaolong Hu, Liao Zhong, Jiang Bian

Remote. Sens., July, 2024

Estimation of photosynthetic parameters from hyperspectral images using optimal deep learning architecture.

Xianzhi Deng, Zhixin Zhang, Xiaolong Hu, Jinmin Li, Shenji Li, Chenye Su, Shuai Du, Liangsheng Shi

Comput. Electron. Agric., January, 2024

Interpretable machine learning of SPAC system via a mechanism-assisted gaussian process group: Representation of the system mechanism by data.

Lijun Wang, Liangsheng Shi, Xiaolong Hu, Wenxiang Song, Yanling Wang, Yakun Wang, Lei Zhu

Comput. Electron. Agric., 2024

Self-correcting deep learning for estimating rice leaf nitrogen concentration with mobile phone images.

Jinmin Li, Liangsheng Shi, Xiaohu Mo, Xiaolong Hu, Chenye Su, Jingye Han, Xianzhi Deng, Shuai Du, Shenji Li

Comput. Electron. Agric., 2024

2023

Estimating leaf age of maize seedlings using UAV-based RGB and multispectral images.

Yi Bai, Liangsheng Shi, Yuanyuan Zha, Shuaibing Liu, Chenwei Nie, Honggen Xu, Hongye Yang, Mingchao Shao, Xun Yu, Minghan Cheng, Yadong Liu, Tao Lin, Ningbo Cui, Wenbin Wu, Xiuliang Jin

Comput. Electron. Agric., December, 2023

Improving estimation of maize leaf area index by combining of UAV-based multispectral and thermal infrared data: The potential of new texture index.

Ning Yang, Zhitao Zhang, Junrui Zhang, Yuhong Guo, Xizhen Yang, Guangduo Yu, Xuqian Bai, Junying Chen, Yinwen Chen, Liangsheng Shi, Xianwen Li

Comput. Electron. Agric., November, 2023

Quantifying effect of maize tassels on LAI estimation based on multispectral imagery and machine learning methods.

Mingchao Shao, Chenwei Nie, Aijun Zhang, Liangsheng Shi, Yuanyuan Zha, Honggen Xu, Hongye Yang, Xun Yu, Yi Bai, Shuaibing Liu, Minghan Cheng, Tao Lin, Ningbo Cui, Wenbin Wu, Xiuliang Jin

Comput. Electron. Agric., August, 2023

Spatial Downscaling and Gap-Filling of SMAP Soil Moisture to High Resolution Using MODIS Surface Variables and Machine Learning Approaches over ShanDian River Basin, China.

Adeel Ahmad Nadeem, Yuanyuan Zha, Liangsheng Shi, Shoaib Ali, Xi Wang, Zeeshan Zafar, Zeeshan Afzal, Muhammad Atiq Ur Rehman Tariq

Remote. Sens., February, 2023

2022

Multi-Scale Assessment of SMAP Level 3 and Level 4 Soil Moisture Products over the Soil Moisture Network within the ShanDian River (SMN-SDR) Basin, China.

Adeel Ahmad Nadeem, Yuanyuan Zha, Liangsheng Shi, Gulin Ran, Shoaib Ali, Zahid Jahangir, Muhammad Mannan Afzal, Muhammad Awais

Remote. Sens., 2022

Regional Yield Estimation for Sugarcane Using MODIS and Weather Data: A Case Study in Florida and Louisiana, United States of America.

Shun Hu, Liangsheng Shi, Yuanyuan Zha, Linglin Zeng

Remote. Sens., 2022

2019

Plot-scale rice grain yield estimation using UAV-based remotely sensed images via CNN with time-invariant deep features decomposition.

Qi Yang, Liangsheng Shi, Lin Lin

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Estimation of Sugarcane Yield by Assimilating UAV and Ground Measurements Via Ensemble Kalman Filter.

Liangsheng Shi, Shun Hu, Yuanyuan Zha

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018