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基于近地高光谱和环境星高光谱数据的冬小麦越冬冻害遥感监测方法研究

发布时间:2018-09-10 12:53
【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,VI_3[VI_3=(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。
[Abstract]:Based on the pot experiment of winter wheat freezing injury in test box, the hyperspectral sensitive bands and indices to identify and evaluate the difference of freezing injury were obtained, and the agronomic indexes of freezing injury were obtained, and the process of freezing injury in the southeast of Linzhou City of Henan Province and its surrounding areas in 2012-2013 was studied. Taking two hyperspectral images before and after freezing injury as the research object, the HSI remote sensing index of winter wheat freezing injury was obtained by using the results of the research on hyperspectral sensitivity index of winter wheat freezing injury and the scale conversion of agronomic freezing injury index based on field experiment. The hyperspectral remote sensing monitoring of winter wheat freezing injury was carried out. The results show that the remote sensing monitoring results of hyperspectral index of VI_3= (SDr-SDb) / (SDr SDb) are more accurate. The results show that it is feasible to use HJ-1A satellite HSI data to monitor winter wheat freezing injury, which can provide a reference for the application of HJ-1A satellite hyperspectral data in agricultural remote sensing monitoring.
【作者单位】: 中国气象局河南省农业气象保障与应用技术重点实验室;河南省气象科学研究所;鹤壁市气象局;
【基金】:国家自然科学基金联合基金项目(U1204406) 中国气象局·河南省农业气象保障与应用技术重点实验室开放基金(AMF201609)~~
【分类号】:S512.11;TP751


本文编号:2234498

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