Exploring the Potential for Automatic Extraction of Vegetation Phenological Metrics from Traffic Webcams
Exploring the Potential for Automatic Extraction of Vegetation Phenological Metrics from Traffic Webcams
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DOI：
10.3390/rs5052200
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发表时间：
2013-05-01
期刊：
影响因子：
5
通讯作者：
Smith, Karon L.
中科院分区：
文献类型：
--
作者：
Morris, David E.;Boyd, Doreen S.;Smith, Karon L.
物候指标作为气候变化的直接指标具有潜在价值。通常，它们是通过卫星成像或地面人工测量获得的;两者都是定制的，因此成本高昂，并且存在与规模和质量相关的问题。在监测基础设施中使用摄像机网络的增加提供了一种获取用于物候研究的图像的手段，其中唯一必要的支出将是数据传输、存储、处理和显示。在这里，一个试点研究，使用交通监控网络的图像数据，以证明它是可能的，以获得有用的信息，从所捕获的数据。使用这种相机网络自动提取物候指标存在几个挑战，尤其是图像质量低和相机频繁运动。虽然关于这些摄像机的最佳使用的问题仍有待回答，但这项工作表明，原则上，来自这些摄像机网络的图像数据可以用作以低成本，高度自动化和可扩展的方式跟踪环境变化的手段，几乎不需要人工参与。
Phenological metrics are of potential value as direct indicators of climate change. Usually they are obtained via either satellite imaging or ground based manual measurements; both are bespoke and therefore costly and have problems associated with scale and quality. An increase in the use of camera networks for monitoring infrastructure offers a means of obtaining images for use in phenological studies, where the only necessary outlay would be for data transfer, storage, processing and display. Here a pilot study is described that uses image data from a traffic monitoring network to demonstrate that it is possible to obtain usable information from the data captured. There are several challenges in using this network of cameras for automatic extraction of phenological metrics, not least, the low quality of the images and frequent camera motion. Although questions remain to be answered concerning the optimal employment of these cameras, this work illustrates that, in principle, image data from camera networks such as these could be used as a means of tracking environmental change in a low cost, highly automated and scalable manner that would require little human involvement.