本文为美国新罕布什尔大学（作者：Benjamin Thomas Fraser）的硕士论文，共129页。

这项工作旨在将科学和数学的基本原理与当前的前沿技术联系起来。在一个因替代事实、科学怀疑论、无障碍通信以及无人驾驶飞机系统等自动化平台的作用而陷入混乱的世界里，我们必须保持警惕，了解我们是如何达到目前水平的。

了解我们目前的处境，可以让我们知道向何处前进。本文不仅是一篇关于无人机系统（UAS、UAV、RPAV等）的研究论文，也是一篇信息文章。这篇论文会回顾一些基础知识，也许超出了科学研究方法的需要；目的是将那些希望将无人机系统整合到自己工作中的人所需的知识和思想联系起来。考虑FAA下国家空域系统（NAS）的现代合法性，大量的硕士学位研究都是用来调查和确认无人机是如何运作的，基本上都是作为遥感平台。在这种情况下，由于该平台处于技术前沿，公众对该平台的接受度也在不断提高，但在任何项目中公开使用该平台仍有许多工作要做。

在这个新时代，任何针对无人机系统的定性或定量评估，如果没有这些考虑，甚至在无人系统离地起飞之前，都是不完整的。

This work serves to connect fundamental principles in science and mathematics to the current apex of technology. In a world so in turmoil over alternative facts, scientific skepticism, accessible communication, and the role of automated platforms such as unmanned aerial systems, it is important to remain vigilant in our understanding of how we got to where we are.

Knowing our current position allows us as a society to know where we can possibly go moving forward. This thesis serves not only a research exposition but also an information piece on the adoption of Unmanned Aerial Systems (UAS, UAV, RPAV, drone, etc.). At times this thesis will review basics, perhaps beyond the need of the scientific methods of the study; serving the purpose of connecting knowledge and thoughts necessary for those looking to integrate UAS into their own work. A great deal of this Master’s degree research was spent investigating and confirming how UAS operate, both fundamentally as remote sensing platforms. In consideration with modern legality of the national airspace system (NAS) under the FAA. Being on the cutting edge of technology in this case has been eased by growing public acceptance of the platform however, there is still much work to be done in openly utilizing this platform for any project.

Any qualitative or quantitative evaluation of Unmanned Aerial Systems, in this novel age, would not be complete without these considerations taken into account before even getting the system off the ground.

1.       项目背景与文献回顾

2. 研究方法

3. 研究结果

4. 讨论

附录A 地面数据组成的细化

附录B UAS飞行许可

附录C 飞行现场数据记录和检查表

附录D 拍摄照片判读关键

附录E UAS校准与培训示例

附录F 每片林地的图像分类图

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