ABSTRACT

An introduction in the use of small unmanned aerial systems for mapping is becoming a desirable course for undergraduate students. The controllability of drone aircraft and quality cameras, even in less expensive aerial models, offers opportunities for students to learn and collect their own imagery for a variety of applications. This opportunity can be taught with an active learning approach. The challenge for instructors is to cover the three fundamentals in the remote sensing workflow – planning, collection, and image processing – while minimizing logistical issues associated with actual flight operation. The logistical issues (e.g. policy, legal, safety, weather) for an outdoor aerial drone learning experience are quite daunting, particularly for urban campuses with local/state restrictions on the use of drone aircraft. In this article, we separate the fundamental learning concepts in the remote sensing workflow from the flight operation and provide a learning environment for unlimited experiments. Using a synthetic indoor scaled landscape, students are given the opportunity for repeat experiments in a tightly controlled environment, saving the focus on actual flight operation for later times in the semester. The advantages of the indoor landscape are many, and also minimize the logistical issues for actual flight operation.

摘要

介绍使用小型无人机系统进行测绘正在成为本科生理想的课程。无人机飞机和高质量相机的可控性，即使是在较便宜的航空模型中，也为学生提供了学习和收集自己的图像以用于各种应用的机会。这个机会可以通过积极的学习方法来教授。教员面临的挑战是涵盖遥感工作流程中的三个基本要素——规划、收集和图像处理——同时最大限度地减少与实际飞行操作相关的后勤问题。户外空中无人机学习体验的后勤问题（例如政策、法律、安全、天气）相当令人生畏，特别是对于地方/州限制使用无人机的城市校园。在这篇文章中，我们将遥感工作流程中的基本学习概念与飞行操作分开，并为无限实验提供学习环境。使用合成的室内比例景观，学生有机会在严格控制的环境中重复实验，将注意力集中在本学期后期的实际飞行操作上。室内景观的优点很多，也可以最大限度地减少实际飞行操作的后勤问题。将重点放在学期后期的实际飞行操作上。室内景观的优点很多，也可以最大限度地减少实际飞行操作的后勤问题。将重点放在学期后期的实际飞行操作上。室内景观的优点很多，也可以最大限度地减少实际飞行操作的后勤问题。