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Physical stream quality measured by drones and image analysis versus the traditional manual method
Environmental Technology ( IF 2.8 ) Pub Date : 2020-09-24 , DOI: 10.1080/09593330.2020.1824022
Niels Svane 1 , Mogens R Flindt 1 , Ronja N Petersen 2 , Sara Egemose 1
Affiliation  

ABSTRACT

Information on the physical and ecological state of streams along with an overview of the need for maintenance is traditionally a time-consuming manual field task with subsequent limitations in area coverage. Here we propose a novel approach to stream monitoring and management using a low-cost Unmanned Aerial Vehicle (UAV) platform to collect data comparable to that from traditional monitoring schemes. This technology provides high-resolution imagery while being easy to implement at a low cost along with providing data that represent the stream in both fine-scale and at landscape scale. The results show a significant correlation between results obtained by the two methods, with the largest difference in DFI values being 10, but in many cases being <5. The UAV-method is especially strong in supporting geographical measurements of stream width and course along with certain stream parameters such as physical variation, water flow and gravel coverage. The results indicate that UAV mapping of streams is a feasible alternative or support to the traditional mapping of certain open stream types with the possibility of covering more area with the same time-use.



中文翻译:

通过无人机和图像分析测量的物理流质量与传统的手动方法

摘要

有关溪流的物理和生态状态的信息以及对维护需求的概述,传统上是一项耗时的手动现场任务,随后的区域覆盖范围受到限制。在这里,我们提出了一种使用低成本无人机(UAV)平台来收集与传统监控方案相当的数据的流监控和管理的新方法。该技术提供高分辨率图像,同时易于以低成本实施,并提供以精细比例和景观比例表示流的数据。结果表明,两种方法获得的结果之间存在显着相关性,DFI 值的最大差异为 10,但在许多情况下小于 5。UAV 方法在支持河流宽度和路线的地理测量以及某些河流参数(如物理变化、水流和砾石覆盖)方面特别强大。结果表明,无人机流映射是对某些开放流类型的传统映射的可行替代或支持,具有在相同时间使用下覆盖更多区域的可能性。

更新日期:2020-09-24
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