基于无人机高光谱的外来入侵种互花米草遥感监测方法研究——以黄河三角洲为研究区

发布时间：2018-07-04 15:43

本文选题：互花米草(Spartina + alterniflora)　；参考：《海洋科学》2017年04期

【摘要】：互花米草(Spartina alterniflora)入侵性非常强,已被正式纳入我国第一批外来入侵物种名单。互花米草的疯狂蔓延已影响到当地土著物种的生长和空间分布,因此有关管理部门迫切需要互花米草的空间分布和扩散动态数据,但目前还没有一个有效的监测手段。针对这一需求,本文作者提出了基于无人机高光谱的外来入侵种互花米草遥感监测研究方案,拟以黄河三角洲为研究区,利用无人机高光谱遥感新型技术,分析不同情形下(不同生长状况、不同观测条件、不同环境条件等)互花米草的光谱特征,建立鲁棒的互花米草遥感检测模型,研究互花米草无人机高光谱图像高效获取方法,以实现互花米草的高效、准确监测,为亟需的外来入侵种互花米草业务化监测提供有效的技术手段。
[Abstract]:Spartina alterniflora (Spartina alterniflora) is highly invasive and has been officially included in the list of the first invasive alien species in China. The crazy spread of Spartina alterniflora has affected the growth and spatial distribution of local indigenous species. Therefore, the relevant management departments urgently need the spatial distribution and diffusion dynamic data of Spartina alterniflora, but there is no effective monitoring method at present. In order to meet this demand, the author puts forward a scheme of remote sensing monitoring of invasive alien species Spartina alterniflora based on the hyperspectral UAV, which is based on the Yellow River Delta as a research area and uses a new type of UAV hyperspectral remote sensing technology. The spectral characteristics of Spartina alterniflora under different conditions (different growth conditions, different observation conditions, different environmental conditions, etc.) were analyzed, and a robust remote sensing detection model of Spartina alterniflora was established, and the method of obtaining high-efficient hyperspectral images of Spartina alterniflora UAV was studied. In order to realize the efficient and accurate monitoring of Spartina alterniflora and to provide an effective technical means for the operational monitoring of invasive alien species Spartina alterniflora.
【作者单位】：国家海洋局第一海洋研究所;内蒙古大学生命科学学院;
【基金】：国家自然科学基金(61601133)~~
【分类号】：S45;TP79

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