农业机械学报2026，Vol.57Issue(17)：94-103,10.DOI:10.6041/j.issn.1000-1298.2026.17.009
基于Sentinel-1 SAR数据的冬小麦晚霜冻害等级监测方法研究
Sentinel-1 SAR-based Method for Monitoring Spring Frost Damage Severity and Levels in Winter Wheat
摘要
Abstract
Spring frost damage is a major agricultural meteorological disaster affecting the production of winter wheat,which can cause damage to the ear parts and lead to a decrease in yield.Therefore,developing an efficient monitoring method is of great significance for disaster prevention and mitigation.Focusing on Hua County,Henan Province,where a spring frost event occurred from April 5th to 7th,2018,the research on monitoring spring frost damage severity and levels in winter wheat was conducted.Sentinel-1 synthetic aperture radar(SAR)images from January to June 2018 were used to develop a frost damage severity index(FDSI)for identifying the severity of frost damage in winter wheat.A mean aggregation method with a 51×51 pixel window was adopted to conduct noise reduction processing on the vertical-vertical(VV)and vertical-horizontal(VH)bands.While satisfying the stability of the coefficient of variation(CV)and signal-to-noise ratio(SNR),it effectively balanced noise suppression and spatial detail preservation.Based on multiple radar indices,including the VH/VV polarization ratio(VH/VV),radar vegetation index(RVI),and dual polarization SAR vegetation index(DPSVI),combined with the Savitzky-Golay(SG)filtering and envelope fitting techniques,the temporal signal drop characteristics caused by the frost event were extracted.The drop amplitude was standardized to finally construct the FDSI.The validation results from field survey sampling points showed that the correlation coefficient between the FDSI based on VH/VV and the frost damage level reached 0.82(p<0.001),which was significantly better than RVI(r=0.76)and DPSVI(r=0.73).The spatial mapping of spring frost damage showed that the frost event affected a broad area,but the damage was mainly light to moderate(61.8％),with the southern part of the county being the most severely impacted.A remote sensing-based monitoring method for spring frost damage in winter wheat was developed.Utilizing the ground-based damage level classification standard,the method can provide an efficient and reliable approach for standardized monitoring at a regional scale.关键词
冬小麦/晚霜冻害/等级监测/Sentinel-1/合成孔径雷达/均值聚合Key words
winter wheat/spring frost damage/level monitoring/Sentinel-1/synthetic aperture radar(SAR)/mean aggregation分类
农业科技引用本文复制引用
韩梦薇,孙亮,王来刚,段四波,任建强..基于Sentinel-1 SAR数据的冬小麦晚霜冻害等级监测方法研究[J].农业机械学报,2026,57(17):94-103,10.基金项目
国家重点研发计划项目(2022YFD2001102) （2022YFD2001102）
