Name
Title | ||
|---|---|---|
Remote Sensing of Leaf and Canopy Nitrogen Status in Winter Wheat (Triticum aestivum L.) Based on N-PROSAIL Model. |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.3390/rs10091463 | REMOTE SENSING |
Keywords | Field | DocType |
leaf nitrogen concentration,canopy nitrogen density,radiative transfer model,hyperspectral,winter wheat | Nitrogen,Remote sensing,Geology,Canopy | Journal |
Volume | Issue | ISSN |
10 | 9 | 2072-4292 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| zhenhai | 1 | 45 | 14.06 |
| xiuliang jin | 2 | 31 | 7.50 |
| Gui-Jun Yang | 3 | 148 | 33.61 |
| Jane Drummond | 4 | 6 | 2.33 |
| Hao Yang | 5 | 28 | 7.63 |
| Beth Clark | 6 | 1 | 1.11 |
| Zhenhong Li | 7 | 165 | 47.51 |
| J.-C. Zhao | 8 | 135 | 52.42 |