A Comprehensive Evaluation of Dual-Polarimetric Sentinel-1 SAR Data for Monitoring Key Phenological Stages of Winter Wheat

文献类型： 外文期刊

第一作者： Wang, Mo

作者： Wang, Mo;Cui, Yunpeng;Liu, Juan;Chen, Li;Wang, Ting;Li, Huan;Wang, Mo;Cui, Yunpeng;Liu, Juan;Chen, Li;Wang, Ting;Li, Huan;Wang, Laigang;Guo, Yan;Wang, Laigang;Guo, Yan

作者机构： Chinese Acad Agr Sci, Agr Informat Inst, Beijing 100081, Peoples R China;Minist Agr & Rural Affairs, Key Lab Agr Big Data, Beijing 100081, Peoples R China;Henan Acad Agr Sci, Inst Agr Informat Technol, Zhengzhou 450002, Peoples R China;Minist Agr & Rural Affairs, Key Lab Huang Huai Hai Smart Agr Technol, Zhengzhou 450002, Peoples R China

关键词： dual-polarimetric SAR; wheat phenology; Sentinel-1; polarimetric parameters

期刊名称：REMOTE SENSING （ 2022影响因子：5.0； 五年影响因子：5.6 ）

ISSN：

年卷期： 2024 年 16 卷 10 期

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收录情况： SCI

摘要： Large-scale crop phenology monitoring is critical for agronomic planning and yield prediction applications. Synthetic Aperture Radar (SAR) remote sensing is well-suited for crop growth monitoring due to its nearly all-weather observation capability. Yet, the capability of the dual-polarimetric SAR data for wheat phenology estimation has not been thoroughly investigated. Here, we conducted a comprehensive evaluation of Sentinel-1 SAR polarimetric parameters' sensibilities on winter wheat's key phenophases while considering the incidence angle. We extracted 12 polarimetric parameters based on the covariance matrix and a dual-pol-version H-alpha decomposition. All parameters were evaluated by their temporal profile and feature importance score of Gini impurity with a decremental random forest classification process. A final wheat phenology classification model was built using the best indicator combination. The result shows that the Normalized Shannon Entropy (NSE), Degree of Linear Polarization (DoLP), and Stokes Parameter g2 were the three most important indicators, while the Span, Average Alpha (alpha 2), and Backscatter Coefficient sigma VH0 were the three least important features in discriminating wheat phenology for all three incidence angle groups. The smaller-incidence angle (30-35 degrees) SAR images are better suited for estimating wheat phenology. The combination of NSE, DoLP, and two Stokes Parameters (g2 and g0) constitutes the most effective indicator ensemble. For all eight key phenophases, the average Precision and Recall scores were above 0.8. This study highlighted the potential of dual-polarimetric SAR data for wheat phenology estimation. The feature importance evaluation results provide a reference for future phenology estimation studies using dual-polarimetric SAR data in choosing better-informed indicators.

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