期刊
REMOTE SENSING
卷 10, 期 9, 页码 -出版社
MDPI
DOI: 10.3390/rs10091463
关键词
leaf nitrogen concentration; canopy nitrogen density; radiative transfer model; hyperspectral; winter wheat
类别
资金
- National Natural Science Foundation of China [61661136003, 41471285, 41601369]
- UK Science and Technology Facilities Council through the PAFiC project [ST/N006801/1]
- Open Research Fund of Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences [2016LDE008]
- National Key Technologies of Research and Development Program [2016YFD0300602-04]
- STFC [ST/N006801/1] Funding Source: UKRI
Plant nitrogen (N) information has widely been estimated through empirical techniques using hyperspectral data. However, the physical model inversion approach on N spectral response has seldom developed and remains a challenge. In this study, an N-PROSAIL model based on the N-based PROSPECT model and the SAIL model canopy model was constructed and used for retrieving crop N status both at leaf and canopy scales. The results show that the third parameter (3rd-par) retrieving strategy (leaf area index (LAI) and leaf N density (LND) optimized where other parameters in the N-PROSAIL model are set at different values at each growth stage) exhibited the highest accuracy for LAI and LND estimation, which resulted in R-2 and RMSE values of 0.80 and 0.69, and 0.46 and 21.18 mu g.cm(-)(2), respectively. It also showed good results with R-2 and RMSE values of 0.75 and 0.38% for leaf N concentration (LNC) and 0.82 and 0.95 g.m(-2) for canopy N density (CND), respectively. The N-PROSAIL model retrieving method performed better than the vegetation index regression model (LNC: RMSE = 0.48 - 0.64%; CND: RMSE = 1.26 - 1.78 g.m(-2)). This study indicates the potential of using the N-PROSAIL model for crop N diagnosis on leaf and canopy scales in wheat.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据