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Assessing the quality of forest fuel loading data collected using public participation methods and smartphones

机译:评估使用公众参与方法和智能手机收集的森林燃料装载数据的质量

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摘要

Effective wildfire management in the wildlandurban interface (WUI) depends on timely data on forest fuel loading to inform management decisions. Mobile personal communication devices, such as smartphones, present new opportunities to collect data in the WUI, using sensors within the device such as the camera, global positioning system (GPS), accelerometer, compass, data storage and networked data transfer. In addition to providing a tool for forest professionals, smartphones can also facilitate engaging other members of the community in forest management as they are now available to a growing proportion of the general population. Approaches where the public participates in the data-collection process (inspired by citizen science) may be beneficial for fire hazard issues. This research note demonstrates a smartphone application for measuring forest fuel loading in the WUI by forestry professionals and non-professionals, and evaluates the quality of the collected data. Smartphones and their associated applications may provide new tools for collecting forest structural data in the WUI, but forest managers need to ensure that measurement protocols provide the required precision for analysis and enforce the logical consistency of observations made by a diverse set of data collectors, and that sufficient training is provided. If these recommendations are followed, we conclude that data acquired by volunteers in collaborative projects through smartphone applications can be of acceptable quality to help inform forest management decisions.
机译:Wildlandurban界面(WUI)中有效的野火管理取决于森林燃料装载的及时数据,以为管理决策提供依据。诸如智能手机之类的移动个人通信设备为使用设备中的传感器(如相机,全球定位系统(GPS),加速度计,指南针,数据存储和网络数据传输)提供了在WUI中收集数据的新机会。除了为森林专业人士提供工具外,智能手机还可以促进社区其他成员参与森林管理,因为现在越来越多的普通人可以使用智能手机。公众参与数据收集过程的方法(受公民科学启发)可能对火灾隐患有益。这份研究报告演示了智能手机应用程序,用于由林业专业人士和非专业人士测量WUI中的森林燃料负荷,并评估所收集数据的质量。智能手机及其关联的应用程序可能会提供用于在WUI中收集森林结构数据的新工具,但是森林管理者需要确保测量协议能够提供所需的分析精度,并确保各种数据收集器的观测结果在逻辑上保持一致,并且提供足够的培训。如果遵循这些建议,我们得出的结论是,志愿者通过智能手机应用程序在协作项目中获取的数据可以具有可接受的质量,有助于为森林管理决策提供依据。

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