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Estimating standing biomass of exotic macrophytes using sUAS

机译:利用sUAS估算外来植物的常规生物量。

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With the advent of sUAS, research scientists and plant managers are capable of obtaining unique, fast, and low-costquantitative data, which delivers many repeatable survey options. Benefits of autonomous sUAS platforms includeminimal training, reduced human safety concerns, and creation of graphic outputs which may be readily viewed by anystakeholder who was not actively involved in the survey or management activity. Research conducted in the WellingtonRegion, New Zealand was used to evaluate consumer-grade sUAS technologies to map and estimate standing biomass ofManchurian Wild Rice (MWR), an exotic semi-aquatic grass which promotes flooding, and displacement of native floraand fauna. The goal of this research was to improve the speed and resolution of current survey strategies used to assessMWR among a lowland pasture site using unmanned systems and photogrammetry techniques. Image collection and dataprocessing was conducted in a manner to provide a theoretic biomass estimation of remaining MWR following seasonalgrowth and herbicide applications. Post-processing methods and theories discussed attempt to identify and quantifyMWR biomass using supervised imaging analysis, plant height modeling, and biomass collected in situ. The use ofunmanned systems to map, monitor, and manage MWR is encouraged for future applications.
机译:随着sUAS的出现,研究科学家和工厂经理有能力获得独特,快速且低成本的产品 定量数据,可提供许多可重复的调查选项。自主sUAS平台的优势包括 最少的培训,减少对人的安全的担忧,并创建图形输出,任何人都可以轻松查看 没有积极参与调查或管理活动的利益相关者。在惠灵顿进行的研究 新西兰地区被用来评估消费者级别的sUAS技术,以绘制和估算当地的生物量。 满洲野稻(MWR),一种奇特的半水草,可促进洪水泛滥和原生植物的迁徙 和动物区系。这项研究的目标是提高用于评估当前调查策略的速度和分辨率 使用无人系统和摄影测量技术的低地牧场场地中的MWR。图像收集和数据 以一定的方式进行处理,以提供季节后剩余MWR的理论生物量估算值 生长和除草剂应用。讨论的后处理方法和理论试图识别和量化 使用监督成像分析,植物高度建模和现场收集的生物量的MWR生物量。指某东西的用途 鼓励在未来的应用中使用无人驾驶系统来绘制,监视和管理MWR。

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