沉水植物水蕴草盖度高光谱遥感估算研究

Research on Estimation of a Submerged Plant Egeria Densa Coverage Using Hyperspectral Image Data

以美国萨克拉门托-圣华金三角洲为研究区,提取高光谱遥感影像上沉水植物水蕴草的光谱数据,计算水蕴草的光谱特征参数,将水蕴草盖度与光谱特征参数进行相关性分析,得到R725、BD602.9和NBDI587.53个特征参量,与水蕴草盖度建立估算模型,并对模型进行精度检验。结果表明,以NBDI587.5为变量建立的盖度估算模型具有较高的精度。

In this paper,we estimated Egeria densa coverage with 3 m spatial resolution,126-band HyMap image data in California's Sacramento-San Joaquin delta.Based on spectral data of varied coverage Egeria densa on HyMap image,we calculated the spectral characteristic parameters spectral reflectance(R),band depth(BD),band depth normalized to band area(BNA) and normalized band depth index(NBDI).Through the correlation analysis between varied coverage of Egeria densa and spectral characteristic parameters,we chose three characteristic parameters,such as R_(725),BD_(602.9)and NBDI_(587.5),to establish estimation model and tested the accuracy of the model.The result shows that the spectral parameter model which established by NBDI_(587.5),can better estimate the Egeria densa coverage.