用无人机多光谱数据精准绘制入侵鸢尾花分布图
Unmanned Aerial Vehicle (UAV)-Based Mapping of Iris Pseudacorus L. Invasion in Laguna del Sauce (Uruguay) Coast
- 无人机采集多光谱数据，结合光谱特征映射与半监督分类
- 实现对入侵鸢尾花的高精度空间分布制图
- 适合生态监测与外来物种管理研究者参考
生物入侵对水源可持续性构成重大威胁。为防止入侵、根除已建立的入侵种或进行控制，遥感技术被视为重要工具，可用于绘制入侵物种分布或识别易入侵区域。本文详细阐述了绘制入侵物种实际分布的流程，以乌拉圭萨尔索湖海岸的入侵鸢尾花（Iris Pseudacorus L.）为例，利用小型无人机获取的多光谱数据，通过光谱特征映射与半监督分类，生成了高精度的入侵分布地图。
原文摘要 · Abstract (English)
Biological invasions pose a significant threat to the sustainability of water sources. Efforts are increasingly being made to prevent invasions, eradicate established invaders, or control them. Remote sensing (RS) has long been recognized as a potential tool to aid in this effort, for example, by mapping the distribution of invasive species or identifying areas at risk of invasion. This paper provides a detailed explanation of a process for mapping the actual distribution of invasive species. This article presents a case studie on the detection of invasive Iris Pseudacorus L. using multispectral data captured by small Unmanned Aerial Vehicles (UAVs). The process involved spectral feature mapping followed by semi-supervised classification, which produced accurate maps of these invasive.
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