基于高光谱遥感数据的入侵植物监测

    Monitoring an invasive plant using hyperspectral remote sensing data

    • 摘要: 生物入侵严重影响了当地的生态系统平衡,对生态安全造成一定威胁。充分利用高光谱遥感数据的宏观和区分不同光谱地物的能力,实现入侵物种的位置和面积监测,从而可辅助地面的人工清除工作,节省人力物力,具有重要的应用意义。该文利用环境一号卫星高光谱数据对江苏宜兴市的入侵物种——加拿大一枝黄花的空间分布进行了遥感监测。结合地面调查数据,选取发生面积最大的样区所对应的像元为纯像元,采用光谱角度分类的方法进行物种分布提取。研究得到本市的加拿大一枝黄花发生面积为212 hm2,略高于实际发生面积。利用高光谱数据实现物种定位具有可行性。

       

      Abstract: Invasive plants can influence the local eubiosis, and threaten the safety of ecosystem. Hyperspectral remote sensing data can be used to classify the different objects with different spectral characters. So we can get the position and area of the invasive plants from the hyperspectral images, which is important to aid to the manual in-situ remove work and save the labor and resources. In this paper, the hyperspectral data on HJ-1 satellite was used to monitor the invasive plant—Solidago Canadensis in Yixing city, Jiangsu Province. Combined with the in-situ data, the pixel with maximum area was selected as pure pixel. Spectral angle mapping (SAM) method was used to locate the Solidago Canadensis in the study area. The result showed that the area of Solidago Canadensis was 212 hm2, and which was larger than actual area. HJ-1 satellite can be used to monitor the invasive plant.

       

    /

    返回文章
    返回