Assessing Geomorphic Change in Restored Coastal Dune Ecosystems Using a Multi-Platform Aerial Approach
Assessing Geomorphic Change in Restored Coastal Dune Ecosystems Using a Multi-Platform Aerial Approach
复制标题
使用多平台航空方法评估恢复的沿海沙丘生态系统的地貌变化
作者：
Z. Hilgendorf;M. Marvin;Craig M. Turner;I. Walker
无人机系统（UAS）提供了一种有效的方法来检查恢复海岸沙丘生态系统的地貌和植被变化。耦合结构从运动（SfM）摄影测量与RGB正射影像，使研究人员能够表征与植被覆盖差异相关的时空地貌响应。这种方法提供了关于地貌形态动力学和沉积物侵蚀和沉积反应的定量数据，使科学家和土地管理人员能够评估动态恢复工作的效力，从而为今后的恢复项目作出知情的决定。2016- 2020年期间，利用UAS（四轴飞行器和固定翼）、风筝航空摄影测量（KAP）和地面激光扫描（TLS）平台对加州洪堡县两个不同的恢复沿海前沙丘遗址进行了监测。我们比较了我们的KAP和UAS-SfM海拔模型，同时收集TLS裸露的地球模型，我们的十五个集合中的五个。这项研究的目的是告知多平台空中方法计算地貌差异的潜力（即，地形差异），以量化沉积物侵蚀和沉积，以及沿海沙丘生态系统的植被变化。虽然UAS-SfM数据集与TLS数据集的拟合程度相对较好（差异面积为2.1-12.2%），但KAP-SfM表面显示出更高的偏差（23.6-27.6%），并且存在与方法和对外部因素（例如，风速和风向对可变高度、图像重叠和覆盖范围的影响）。最后，我们提供的KAP和UAS数据收集和建设的不确定性预算的地貌变化检测（GCD）的后勤考虑的评论，同时提供不确定性预算的标准化方法的建议。虽然我们提出了一种方法，结合了多个层次的收集和处理为基础的不确定性，我们也认识到，不确定性往往是特定的项目，并概述了潜在的标准，将不确定性预算在SfM项目的发展。
Uncrewed aerial systems (UAS) provide an effective method to examine geomorphic and vegetation change in restored coastal dune ecosystems. Coupling structure-from-motion (SfM) photogrammetry with RGB orthomosaic imagery allows researchers to characterize spatial-temporal geomorphic responses associated with differences in vegetation cover. Such approaches provide quantitative data on landscape morphodynamics and sediment erosion and deposition responses that allow scientists and land managers to assess the efficacy of dynamic restoration efforts and, in turn, make informed decisions for future restoration projects. Two different restored coastal foredune sites in Humboldt County, California were monitored between 2016–20 with UAS (quadcopter and fixed-wing), kite aerial photogrammetry (KAP), and terrestrial laser scanning (TLS) platforms. We compared our KAP- and UAS-SfM elevation models to concurrently collected TLS bare earth models for five of our fifteen collections. The goal of this study was to inform on the potential of a multi-platform aerial approach for calculating geomorphic differences (i.e., topographic differencing), in order to quantify sediment erosion and deposition, and vegetation change over a coastal dune ecosystem. While UAS-SfM datasets were relatively well fit to their TLS counterparts (2.1–12.2% area of difference), the KAP-SfM surfaces exhibited higher deviations (23.6–27.6%) and suffered from systematic collection inconsistencies related to methods and susceptibility to external factors (e.g., the influence of wind speed and direction on variable altitude, image overlap, and coverage extent). Finally, we provide commentary on the logistical considerations regarding KAP and UAS data collection and the construction of uncertainty budgets for geomorphic change detection (GCD), while providing suggestions for standardizing methods for uncertainty budgeting. While we propose an approach that incorporates multiple levels of collection- and processing-based uncertainty, we also recognize that uncertainty is often project-specific and outline the development of potential standards for incorporating uncertainty budgets in SfM projects.
影响因子：
4.9
作者：
Carslaw, David C.;Ropkins, Karl
通讯作者：
Ropkins, Karl
季节到十年尺度的 Foredune 形态动力学和沉积物预算：美国加利福尼亚州洪堡湾国家野生动物保护区
影响因子：
3.9
作者：
Rader, Alana M.;Pickart, Andrea J.;Walker, Ian J.;Hesp, Patrick A.;Bauer, Bernard O.
通讯作者：
Bauer, Bernard O.