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首页> 外文会议>International symposium on multispectral image processing and pattern recognition >Comparison of Inversion Accuracy of Soil Copper Content from Vegetation Indices under Different Spectral Resolution
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Comparison of Inversion Accuracy of Soil Copper Content from Vegetation Indices under Different Spectral Resolution

机译：不同光谱分辨率下植被指数对土壤铜含量反演精度的比较

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Remote sensing inversion of heavy metal in vegetation leaves is generally based on the physiological characteristics of vegetation spectrum under heavy metal stress, and empirical models with vegetation indices are established to inverse the heavy metal content of vegetation leaves. However, the research of inversion of heavy metal content in vegetation-covered soil is still rare. In this study, Pulang is chosen as study area. The regression model of a typical heavy metal element, copper (Cu), is established with vegetation indices. We mainly investigate the inversion accuracies of Cu element in vegetation-covered soil by different vegetation indices according to specific spectral resolutions of ASD (Analytical Spectral Device) and Hyperion data. The inversion results of soil copper content in the vegetation-covered area shows a good accuracy, and the vegetation indices under ASD spectral resolution correspond to better results.
机译：植被叶片中重金属的遥感反演一般是基于重金属胁迫下植物光谱的生理特征，建立具有植被指数的经验模型来反演植被叶片中的重金属含量。但是，关于植被覆盖土壤中重金属含量的反演研究仍然很少。在本研究中，浦兰被选为研究区域。利用植被指数建立了典型的重金属元素铜（Cu）的回归模型。我们主要根据ASD（分析光谱仪）的特定光谱分辨率和Hyperion数据，研究不同植被指数下植被覆盖土壤中Cu元素的反演精度。植被覆盖区土壤铜含量的反演结果具有较好的准确性，在ASD光谱分辨率下的植被指数对应的结果较好。

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