气候变化领域集成服务门户(CCPortal): Remote sensing of coastal algal blooms using unmanned aerial vehicles (UAVs)

CCPortal

DOI	10.1016/j.marpolbul.2020.110889
	Remote sensing of coastal algal blooms using unmanned aerial vehicles (UAVs)
	Cheng K.H.; Chan S.N.; Lee J.H.W.
发表日期	2020
ISSN	0025326X
卷号	152
英文摘要	The explosive growth of phytoplankton under favorable conditions in subtropical coastal waters can lead to water discolouration and massive fish kills. Traditional water quality monitoring relies on manual field sampling and laboratory analysis of chlorophyll-a (Chl-a) concentration, which is resources intensive and time consuming. The cloudy weather of Hong Kong also precludes using satellite images for algal blooms monitoring. This study for the first time demonstrates the use of an Unmanned Aerial Vehicle (UAVs) to quantitatively map surface water Chl-a distribution in coastal waters from a low altitude. An estimation model for Chl-a concentration from visible images taken by a digital camera on a UAV has been developed and validated against one-year field data. The cost-effective and robust technology is able to map the spatial and temporal variations of Chl-a concentration during an algal bloom. The proposed method offers a useful complement to traditional field monitoring for fisheries management. © 2020 Elsevier Ltd
英文关键词	Algal bloom; Chlorophyll-a; Fisheries management; Red tide; Remote sensing; Unmanned aerial vehicles
语种	英语
scopus关键词	Antennas; Chlorophyll; Cost effectiveness; Fisheries; Surface waters; Unmanned aerial vehicles (UAV); Water quality; Algal blooms; Chlorophyll a; Favorable conditions; Fisheries management; Laboratory analysis; Red tide; Spatial and temporal variation; Water quality monitoring; Remote sensing; chlorophyll a; aerial survey; algal bloom; chlorophyll a; coastal zone; concentration (composition); fishery management; pollution monitoring; red tide; remote sensing; unmanned vehicle; algal bloom; altitude; Article; coastal waters; concentration (parameter); cost effectiveness analysis; environmental monitoring; fishery management; Hong Kong; quantitative analysis; remote sensing; satellite imagery; spatial analysis; time; unmanned aerial vehicle; water quality; weather; animal; eutrophication; phytoplankton; algae; Animals; Chlorophyll A; Eutrophication; Hong Kong; Phytoplankton; Remote Sensing Technology
来源期刊	Marine Pollution Bulletin
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/149160
作者单位	Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong; Institute for Advanced Study, The Hong Kong University of Science and Technology, Hong Kong
推荐引用方式 GB/T 7714	Cheng K.H.,Chan S.N.,Lee J.H.W.. Remote sensing of coastal algal blooms using unmanned aerial vehicles (UAVs)[J],2020,152.
APA	Cheng K.H.,Chan S.N.,&Lee J.H.W..(2020).Remote sensing of coastal algal blooms using unmanned aerial vehicles (UAVs).Marine Pollution Bulletin,152.
MLA	Cheng K.H.,et al."Remote sensing of coastal algal blooms using unmanned aerial vehicles (UAVs)".Marine Pollution Bulletin 152(2020).