Table 2 Comparison of the parameters of the PIOSL and RPIOSL model

PIOSL

N、Cab、Cw、Cm

\({N}_{1}\)、\({N}_{2}\)、\({Cab}_{12}\)、\({Cw}_{12}\)、\({Cm}_{12}\)、

\({N}_{1}\), \({N}_{2}\) are the structural parameters of the first and second layers of leaves. The proportion of chlorophyll, water and dry matter content in the first and second layers of leaves are represented by \({Cab}_{12}\)、\({Cw}_{12}\)、\({Cm}_{12}\),respectively. Cab、Cw、Cm represent the total content of chlorophyll, water and dry matter in leaves, respectively

The biochemical parameters of various crops were output, and the Cab, Cw and Cm in the two layers of leaves were stratified, and the reflectivity of leaves was accurately simulated

RPIOSL

N、Cab、Cw、Cm

\({N}_{1}\)、\({N}_{2}\)、\({Cab}_{12}\)、\({Cm}_{12}\)

\({N}_{1}\)、\({N}_{2}\) are the structural parameters of the first and second layers of leaves,\({Cab}_{12}\)、\({Cm}_{12}\) are the proportion of Cab and Cm in the each layers of leaves, and Cab、Cw、Cm are the total content of chlorophyll, water and dry matter in leaves

The chlorophyll, water and dry matter contents of rice leaves were input, and the simulated reflectance of rice leaves was calculated by layering the Cab and Cm in the leaves. Compared with the PIOSL model, the parameters of \({Cw}_{12}\) were reduced, the calculation amount of the model was reduced, and the running time of the model was saved