【摘要】 基于试验箱冬小麦冻害盆栽试验,得到了识别和评价冻害差异程度的高光谱敏感波段和指数,获得了冻害农学指标;研究了河南省林州市东南部及周边地区2012-2013年的冻害过程,以冻害发生前后的两幅高光谱影像为研究对象,利用冬小麦冻害高光谱敏感指数的研究结果,结合大田试验对农学冻害指标进行尺度转换,获得了HSI遥感冬小麦冻害指标,进行了冬小麦冻害的高光谱遥感监测。结果显示,VI₃[VI₃=（SDr-SDb）/（SDr+SDb）]高光谱指数冻害遥感监测结果更精确。研究表明利用HJ-1A星HSI数据进行冬小麦冻害监测是可行的,可为HJ-1A星高光谱数据在农业遥感监测中的应用提供参考。更多还原

【Abstract】 Based on a freezing injury experiment of potted winter wheat by using high-low temperature and humidity test chamber,the hyper spectral sensitivity band and the indexes to identify and evaluate the freezing injury degree differences were obtained,and the freezing injury agronomic indexes were gotten. This paper studied the winter wheat freezing injury process during 2012-2013 in southeast area of Linzhou City and its surrounding areas of Henan Province. Two HJ1A-HSI images before and after freezing injury was used as the research object,HSI remote sensing freezing injury indexes were gotten by the scale converting based on agronomic indexes,and the hyperspectral remote sensing monitoring for winter wheat freezing injury were done based on the results of winter wheat freezing injury hyperspectral sensitive index. This research results show that the monitoring results of VI₃[VI₃=（SDr-SDb）/（SDr + SDb）]hyperspectral index are more accurate and monitoring winter wheat freeze injury using the HJ1A-HSI data is feasible. The article may provide reference for using the HJ1A-HSI data to agricultural remote sensing monitoring.更多还原