Unmanned aerial remote sensing of coastal vegetation: A review

IF 2.7 Q1 GEOGRAPHY
Grayson R. Morgan, M. Hodgson, Cuizhen Wang, S. Schill
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引用次数: 12

Abstract

ABSTRACT Coastal wetlands contribute greatly to our coasts economically and ecologically. The utility of coastal wetland vegetation, along with the multitude of dynamic forces they encounter, suggests the need of regular monitoring for sustainable management. While traditional in situ survey methods and remote sensing from space and manned platforms have provided means to monitor and study the coastal zone thus far, the recent developments of small unmanned aerial systems (sUAS) fill a small void between traditional in situ survey methods and the high spatial resolution of manned aircraft imagery. As an on-demand personal remote sensing device, an sUAS can be deployed over coastal regions at a low cost and with very fine spatial resolution (i.e. 1–10 cm) imagery and corresponding spatial accuracy. Though an sUAS provides many benefits, recent literature documents several shortcomings and limitations to using them for coastal wetland vegetation research, including changing tides, lighting conditions and legal restrictions on flying. This study reviewed all coastal wetland vegetation-related studies that included an sUAS as a mapping tool to document the current state of the field. Current practices, successes, and limitations are described, and future directions for the field are discussed. Coastal managers and researchers alike will be able use this comprehensive review to determine how to best approach future studies of diverse coastal vegetation.
海岸带植被无人机遥感研究进展
滨海湿地对我国沿海地区的经济和生态具有重要的贡献。沿海湿地植被的效用,以及它们遇到的众多动态力量,表明需要定期监测可持续管理。迄今为止,传统的原位测量方法、空间遥感和载人平台提供了监测和研究海岸带的手段,而小型无人机系统(sUAS)的最新发展填补了传统原位测量方法和载人飞机高空间分辨率图像之间的一小部分空白。作为一种按需个人遥感设备,sUAS可以以低成本部署在沿海地区,具有非常精细的空间分辨率(即1-10厘米)图像和相应的空间精度。尽管sUAS提供了许多好处,但最近的文献记录了将其用于沿海湿地植被研究的一些缺点和局限性,包括潮汐变化、光照条件和飞行的法律限制。本研究回顾了所有与沿海湿地植被相关的研究,其中包括sUAS作为记录该领域现状的绘图工具。描述了当前的实践、成功和局限性,并讨论了该领域的未来方向。沿海管理人员和研究人员都将能够利用这一全面的回顾来确定如何最好地开展未来对各种沿海植被的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Annals of GIS
Annals of GIS Multiple-
CiteScore
8.30
自引率
2.00%
发文量
31
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