@inproceedings{569b1e01d27a4620824b8bdb2df60a31,
title = "Estimation of winter wheat canopy nitrogen density at different growth stages based on Multi-LUT approach",
abstract = "Rapid real-time monitoring of wheat nitrogen (N) status is crucial for precision N management during wheat growth. In this study, Multi Lookup Table (Multi-LUT) approach based on the N-PROSAIL model parameters setting at different growth stages was constructed to estimating canopy N density (CND) in winter wheat. The results showed that the estimated CND was in line with with measured CND, with the determination coefficient (R2) and the corresponding root mean square error (RMSE) values of 0.80 and 1.16 g m-2, respectively. Time-consuming of one sample estimation was only 6 ms under the test machine with CPU configuration of Intel(R) Core(TM) i5-2430 @2.40GHz quad-core. These results confirmed the potential of using Multi-LUT approach for CND retrieval in winter wheat at different growth stages and under variables climatic conditions.",
keywords = "Hyperspectral, Lookup table, N-PROSAIL, Winter wheat, canopy nitrogen density",
author = "Zhenhai Li and Na Li and Zhenhong Li and Jianwen Wang and Chang Liu",
note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX 2017 ; Conference date: 12-09-2017 Through 15-09-2017",
year = "2017",
doi = "10.1117/12.2278719",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Antonino Maltese and Neale, \{Christopher M. U.\}",
booktitle = "Remote Sensing for Agriculture, Ecosystems, and Hydrology XIX",
address = "美国",
}