Estimating leaf nitrogen and chlorophyll content in wheat by correcting canopy structure effect through multi-angular remote sensing

Canopy scattering coefficient (CSC) is the ratio of bidirectional reflectance factor (BRF) to directional area scattering coefficient (DASF), and has been successfully applied to correct the effect of canopy structure. The key to calculate CSC is to calculate DASF, which is determined by the intercept b and slope k of the linear relationship between BRF and BRF lambda(Omega)/omega(lambda) (the ratio of hyperspectral BRF in certain view direction to leaf albedo (omega(lambda)). However, due to the limitation of multispectral bands, how to accurately calculate crop DASF during the whole growth period using multispectral UAV data is still an urgent problem to be solved. In this study, wheat canopy multiangular (0 degrees, -30 degrees, -45 degrees) datasets including near-ground hyperspectral data, UAV multispectral data, and PROSAIL simulation data were obtained for three consecutive years. The DASF(k-b) model was proposed to estimate b and k based on multispectral sensors by relative accumulated growing degree days (RAGDD) and BRF. The previously developed DASF(g-NIR) model and vegetation index (VI) model were compared with DASF(k-b) model under different view angles (VZAs), to evaluate their performances in correcting canopy structural effect, estimating leaf nitrogen content (LNC) and leaf chlorophyll content (LCC) based on generalized additive model (GAM). The results showed that the hyperspectral band range suitable for estimating wheat DASF was 710-760 nm. Parameter b decreased with increased N application rates, and activated first and then inhibited with increased RAGDD; the tendency of k, DASF(Hy) were opposite. Compared with CSCg-NIR (calculated from DASF(g-NIR) model) and VIs, CSCk-b (calculated from DASF(k-b) model) had the best correction effect on canopy structure under different VZAs. The estimation accuracy of LNC and LCC using CSCk-b was improved compared with CSCg-NIR and VIs, with RRMSE values of 9.2% and 7.0%, respectively, and the recommended VZA was -45 degrees for both models.

Automated summary

The calculation of Canopy scattering coefficient (CSC) is crucial for correcting the effect of canopy structure. However, accurately calculating crop DASF using multispectral UAV data remains a pressing problem. This study proposed a DASF(k-b) model based on RAGDD and BRF to estimate b and k. The results showed that CSCk-b had the best correction effect on canopy structure under different VZAs and improved the accuracy of estimating LNC and LCC compared to CSCg-NIR and VIs.