Abstract To better eliminate the adverse effects of the ground surface on winter wheat Leaf area index (LAI) inversions and to further improve the accuracy of regional winter wheat LAI inversion using SAR remote sensing data, considering the morphological characteristics at different wheat growth stages, a winter wheat LAI inversion model coupled with the microwave scattering model (MSM) for winter wheat at different growth stages (MSMDGS) and the canopy scattering simulation model (CSSM) was proposed. In this research, taking Hengshui City of Huanghuaihai Plain of North China as the study region, using RADARSAT-2 data as image sources and based on parameter sensitivity analysis and model calibration, the proposed model was applied and validated. The LAI inversion results of winter wheat showed that the proposed model had good performance in the regional application and that LAI inversion results with high accuracy could be obtained. Among the three key growth stages (jointing stage, booting stage and heading stage) of winter wheat, the R2, adjusted R2 and RMSE between the LAI inversion value and the ground-measured data were 0.918, 0.917 and 0.675, respectively, which indicated that the winter wheat LAI inversion model coupled with MSMDGS and CSSM had certain feasibility and applicability.

中文翻译：

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考虑不同生育阶段形态特征的冬小麦LAI反演结合微波散射模型和冠层模拟模型

摘要 为更好地消除地表对冬小麦叶面积指数（LAI）反演的不利影响，进一步提高利用SAR遥感数据反演区域冬小麦叶面积指数的准确性，结合小麦不同生育阶段的形态特征，设计了一种提出了冬小麦LAI反演模型与冬小麦不同生长阶段微波散射模型(MSM)和冠层散射模拟模型(CSSM)相结合的模型。本研究以华北黄淮海平原衡水市为研究区域，以RADARSAT-2数据为图像源，基于参数敏感性分析和模型标定，对所提模型进行应用验证。冬小麦LAI反演结果表明，该模型在区域应用中具有良好的性能，可以获得高精度的LAI反演结果。在冬小麦的三个关键生育阶段（拔节期、孕穗期和抽穗期）中，LAI反演值与地面实测数据之间的R2、调整R2和RMSE分别为0.918、0.917和0.675，表明结合MSMDGS和CSSM的冬小麦LAI反演模型具有一定的可行性和适用性。