无人机
植被(病理学)
横断面
栖息地
航测
航空摄影
航拍照片
生态学
植被分类
遥感
仰角(弹道)
数字表面
生物
数字高程模型
航空影像
地图学
地理
激光雷达
人工智能
计算机科学
图像(数学)
病理
数学
医学
遗传学
几何学
作者
Mitchell B. Cruzan,Ben Weinstein,Monica R. Grasty,Brendan F. Kohrn,Elizabeth C. Hendrickson,Tina M. Arredondo,Pamela G. Thompson
摘要
Low-elevation surveys with small aerial drones (micro-unmanned aerial vehicles [UAVs]) may be used for a wide variety of applications in plant ecology, including mapping vegetation over small- to medium-sized regions. We provide an overview of methods and procedures for conducting surveys and illustrate some of these applications.Aerial images were obtained by flying a small drone along transects over the area of interest. Images were used to create a composite image (orthomosaic) and a digital surface model (DSM). Vegetation classification was conducted manually and using an automated routine. Coverage of an individual species was estimated from aerial images.We created a vegetation map for the entire region from the orthomosaic and DSM, and mapped the density of one species. Comparison of our manual and automated habitat classification confirmed that our mapping methods were accurate. A species with high contrast to the background matrix allowed adequate estimate of its coverage.The example surveys demonstrate that small aerial drones are capable of gathering large amounts of information on the distribution of vegetation and individual species with minimal impact to sensitive habitats. Low-elevation aerial surveys have potential for a wide range of applications in plant ecology.
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