采用地貌学应用程序实现高分辨率地形采集的远程野外课程

Q2 Social Sciences
S. Bywater‐Reyes, B. Pratt-Sitaula
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引用次数: 0

摘要

摘要在这里,我们描述了数据密集型植物形态分析课程的课程和成果,“使用高分辨率地形了解地球表面过程的地球科学领域问题”,由于COVID-19大流行,该课程转向虚拟2020年。课程涵盖人工和遥感地形数据方法的技术,包括(1)全球定位系统和全球导航卫星系统(GPS/GNSS)测量,(2)运动结构(SfM)摄影测量,以及(3)地面(地面激光扫描,TLS)和机载激光雷达。课程内容侧重于地球表面过程的应用,但可以适用于其他地球科学学科。2020年夏季,许多其他领域课程被取消,因此该课程为需要作为学位或研究要求的一部分的领域课程的本科生和研究生提供了广泛的服务。由此产生的课程材料可以在美国地球科学教师协会(NAGT)的“在线实地体验教学”收藏中免费获得。作者预先收集了GNSS数据,无人驾驶航空系统衍生(uas衍生)照片和地面激光雷达,然后学生将其用于课程作业。该课程为期两周,分为同步和异步两部分。学生们创建了包含后处理GNSS地面控制点的SfM模型,并创建了衍生的SfM和tls产品,包括分类点云和数字高程模型(dem)。学生们成功地能够(1)评估给定现场条件下给定调查/数据方法的适用性,(2)评估不同数据收集和后处理方法在光场中的优缺点以及每种方法的时间限制和局限性,(3)进行误差和地貌变化分析,(4)提出或实施解决地貌问题的方案。总体而言,我们的分析表明,该课程的成功实施既满足了学生的需求,也满足了课程特定和NAGT的学习成果,91%的学生获得了A、B或c的成绩。课程的意想不到的结果包括学生的自我反思和重新定位,以及同学通过每日反思和讨论帖子的支持。挑战包括长时间坐在电脑前,计算能力的限制,以及由于课程的浓缩而导致的倦怠。建议的实施改进包括在较长的时间内扩展课程或只采用部分课程,并提供适当的计算机和技术援助。本文和已出版的课程材料应作为地球科学社区在虚拟或真人高分辨率地形数据课程中使用的实施和评估指南,这些课程可以适用于个人实验室或整个领域或数据课程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A remote field course implementing high-resolution topography acquisition with geomorphic applications
Abstract. Here we describe the curriculum and outcomes from a data-intensive geomorphic analysis course, “Geoscience Field Issues Using High-Resolution Topography to Understand Earth Surface Processes”, which pivoted to virtual in 2020 due to the COVID-19 pandemic. The curriculum covers technologies for manual and remotely sensed topographic data methods, including (1) Global Positioning Systems and Global Navigation Satellite System (GPS/GNSS) surveys, (2) Structure from Motion (SfM) photogrammetry, and (3) ground-based (terrestrial laser scanning, TLS) and airborne lidar. Course content focuses on Earth-surface process applications but could be adapted for other geoscience disciplines. Many other field courses were canceled in summer 2020, so this course served a broad range of undergraduate and graduate students in need of a field course as part of degree or research requirements. Resulting curricular materials are available freely within the National Association of Geoscience Teachers' (NAGT's) “Teaching with Online Field Experiences” collection. The authors pre-collected GNSS data, uncrewed-aerial-system-derived (UAS-derived) photographs, and ground-based lidar, which students then used in course assignments. The course was run over a 2-week period and had synchronous and asynchronous components. Students created SfM models that incorporated post-processed GNSS ground control points and created derivative SfM and TLS products, including classified point clouds and digital elevation models (DEMs). Students were successfully able to (1) evaluate the appropriateness of a given survey/data approach given site conditions, (2) assess pros and cons of different data collection and post-processing methods in light of field and time constraints and limitations of each, (3) conduct error and geomorphic change analysis, and (4) propose or implement a protocol to answer a geomorphic question. Overall, our analysis indicates the course had a successful implementation that met student needs as well as course-specific and NAGT learning outcomes, with 91 % of students receiving an A, B, or C grade. Unexpected outcomes of the course included student self-reflection and redirection and classmate support through a daily reflection and discussion post. Challenges included long hours in front of a computer, computing limitations, and burnout because of the condensed nature of the course. Recommended implementation improvements include spreading the course out over a longer period of time or adopting only part of the course and providing appropriate computers and technical assistance. This paper and published curricular materials should serve as an implementation and assessment guide for the geoscience community to use in virtual or in-person high-resolution topographic data courses that can be adapted for individual labs or for an entire field or data course.
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来源期刊
Geoscience Communication
Geoscience Communication Social Sciences-Communication
CiteScore
3.30
自引率
0.00%
发文量
26
审稿时长
20 weeks
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