气候变化领域集成服务门户(CCPortal): Drone-based Structure-from-Motion provides accurate forest canopy data to assess shading effects in river temperature models

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DOI	10.1016/j.scitotenv.2019.04.229
	Drone-based Structure-from-Motion provides accurate forest canopy data to assess shading effects in river temperature models
	Dugdale, Stephen J.; Malcolm, Lain A.; Hannah, David M.
发表日期	2019-08-15
ISSN	0048-9697
EISSN	1879-1026
卷号	678 页码:326-340
英文摘要	Climatic warming will increase river temperature globally, with consequences for cold water-adapted organisms. In regions with low forest cover, elevated river temperature is often associated with a lack of bankside shading. Consequently, river managers h
关键词	River temperature Structure from motion Process-based model Drones Unoccupied aerial systems Climate change
学科领域	Environmental Sciences
语种	英语
WOS记录号	WOS:000468618900032
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/79577
作者单位	Univ Birmingham, Sch Geog Earth & Environm Sci, Birmingham B15 2TT, W Midlands, England
推荐引用方式 GB/T 7714	Dugdale, Stephen J.,Malcolm, Lain A.,Hannah, David M.. Drone-based Structure-from-Motion provides accurate forest canopy data to assess shading effects in river temperature models[J],2019,678:326-340.
APA	Dugdale, Stephen J.,Malcolm, Lain A.,&Hannah, David M..(2019).Drone-based Structure-from-Motion provides accurate forest canopy data to assess shading effects in river temperature models.SCIENCE OF THE TOTAL ENVIRONMENT,678,326-340.
MLA	Dugdale, Stephen J.,et al."Drone-based Structure-from-Motion provides accurate forest canopy data to assess shading effects in river temperature models".SCIENCE OF THE TOTAL ENVIRONMENT 678(2019):326-340.