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针对传统的玉米倒伏人工灾害评估方法效率低、随机性大等缺点,该文提出了一种基于遥感技术的方法,设计了田间模拟试验。利用ASD光谱仪采集倒伏玉米的冠层光谱数据,并与未倒伏玉米的光谱数据进行比较。结果显示了倒伏玉米和未倒伏玉米冠层光谱之间存在一定程度的差异。利用夏玉米NDVI值的改变,采用两期遥感影像对山东淄博市桓台县夏玉米倒伏情况进行了监测。结果表明,基于遥感数据的NDVI方法在一定程度上可以有效监测玉米倒伏。
Aiming at the disadvantages of traditional artificial lodging artificial disaster assessment methods, such as low efficiency and large randomness, this paper presents a method based on remote sensing technology and designs a field simulation experiment. The ASD spectrometer was used to collect canopy spectral data of lodging corn and compared with that of uncoiled corn. The results show that there is a certain degree of difference between the canopy spectra of lodging and uncoiled maize. Based on the change of NDVI value of summer maize, two-phase remote sensing images were used to monitor the summer maize lodging in Huantai County, Zibo City, Shandong Province. The results show that the NDVI method based on remote sensing data can effectively monitor maize lodging to a certain extent.