干旱侵蚀绘图:比较激光雷达和运动结构

IF 1.2 4区 环境科学与生态学 Q4 ECOLOGY
Rangeland Journal Pub Date : 2024-03-13 DOI:10.1071/rj23040
Angus Retallack, Dillon Campbell, Graeme Finlayson, Ramesh Raja Segaran, Bertram Ostendorf, Molly Hennekam, Sami Rifai, Megan Lewis
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引用次数: 0

摘要

无人驾驶飞行器(UAV)在环境监测方面的快速发展和普及,特别是利用激光雷达(LiDAR)和运动结构(SfM)提供的三维数据,改进了包括精细侵蚀监测在内的状况评估。比较激光雷达和 SfM 测量侵蚀的精度对于选择适当的方法至关重要。此外,了解了最佳飞行高度,就可以考虑在勘测区域、飞行时间和精度之间进行权衡。我们对基于无人机的激光雷达和 SfM 进行了评估,以提供澳大利亚南部干旱牧场保护区内大量沟壑侵蚀的高精度数字表面模型(DSM)。这些沟壑位于钙质土壤的低坡度仙人掌灌木林中,在不规则的强降雨事件后会在短时间内迅速发生侵蚀,是管理方面的重大问题。分辨率为 2、4 和 6 厘米的 SfM 衍生 DSM 的均方根误差 (RMSE) 值低于同类激光雷达数据集(SfM = 0.72-1.39 厘米;激光雷达 = 2.08-3.15 厘米)。此外,2 厘米 SfM 衍生数据集的 RMSE 值明显低于 4 厘米和 6 厘米数据集(2 厘米 = 0.72 厘米;4-6 厘米 = 2.08-3.15 厘米)。在为期 1 年的研究期间进行的变化检测突出显示了管理部门关注地点的侵蚀情况。我们建议,尽管两种方法都有价值,但 SfM 比 LiDAR 更受青睐,因为 SfM 简单、成本低,而且可见光颜色图像具有额外的监测功能,在精度方面没有明显的牺牲。可以通过增加飞行高度来优化可见光颜色勘测区域和时间,而不会大幅降低精度。无论使用哪种方法,都将对监测干旱沟壑侵蚀和评估管理干预措施的效果大有裨益,从而实现适应性管理,改善未来干旱牧场的状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Arid erosion mapping: comparing LiDAR and structure from motion

Rapid development and uptake in uncrewed aerial vehicles (UAVs) for environmental monitoring, specifically using three-dimensional data from LiDAR and structure from motion (SfM), has enabled improved condition assessment, including fine-scale erosion monitoring. Comparing the precision of LiDAR and SfM for measuring erosion is essential in enabling appropriate method selection. Additionally, knowledge regarding optimal flight heights allows for consideration of the trade-off among survey areas, flight times and precision. We assessed UAV-based LiDAR and SfM for providing high-precision digital surface models (DSM) of substantial gully erosion on a conservation reserve in the southern Australian arid rangelands. The gullies exist in low-slope chenopod shrublands with calcareous soils, and are of significant management concern, with erosion occurring rapidly over short periods following irregular and intense rainfall events. Root mean squared error (RMSE) values for SfM-derived DSMs with resolutions of 2, 4 and 6 cm were lower than comparable LiDAR datasets (SfM = 0.72–1.39 cm; LiDAR = 2.08–3.15 cm). Additionally, 2 cm SfM-derived datasets exhibit notably lower RMSE values than 4 and 6 cm datasets (2 cm = 0.72 cm; 4–6 cm = 2.08–3.15 cm). Change detection over the 1-year study period highlighted erosion in locations of management concern. We propose that, although both methods are of value, SfM is preferred over LiDAR because of its simplicity, reduced cost, and the additional monitoring capabilities of visible-colour imagery, with no notable sacrifice in precision. Visible-colour survey areas and times can be optimised by increasing flight height without dramatic losses in precision. The use of either method will be of great benefit for the monitoring of arid gully erosion and assessing the effectiveness of management interventions, allowing adaptive management and leading to improved condition of arid rangelands into the future.

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来源期刊
Rangeland Journal
Rangeland Journal 环境科学-生态学
CiteScore
2.90
自引率
8.30%
发文量
14
审稿时长
>36 weeks
期刊介绍: The Rangeland Journal publishes original work that makes a significant contribution to understanding the biophysical, social, cultural, economic, and policy influences affecting rangeland use and management throughout the world. Rangelands are defined broadly and include all those environments where natural ecological processes predominate, and where values and benefits are based primarily on natural resources. Articles may present the results of original research, contributions to theory or new conclusions reached from the review of a topic. Their structure need not conform to that of standard scientific articles but writing style must be clear and concise. All material presented must be well documented, critically analysed and objectively presented. All papers are peer-reviewed. The Rangeland Journal is published on behalf of the Australian Rangeland Society.
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