干旱区生态环境知识资源中心(Arid): UAV-derived imagery for vegetation structure estimation in rangelands: validation and application

Arid

DOI	10.1002/ecs2.3830
	UAV-derived imagery for vegetation structure estimation in rangelands: validation and application
	Zhang, Junzhe; Okin, Gregory S.; Zhou, Bo; Karl, Jason W.
通讯作者	Zhang, JZ (corresponding author), Univ Calif Los Angeles, Dept Geog, Los Angeles, CA 90095 USA.
来源期刊	ECOSPHERE
ISSN	2150-8925
出版年	2021
卷号	12 期号:11
英文摘要	The purpose of this study is to develop an unmanned aerial vehicle (UAV)-based remote sensing method that can estimate vegetation indicators in arid and semiarid rangelands. This method was used to quantify six rangeland indicators (canopy size, bare soil gap size, plant height, scaled height, vegetation cover, and bare soil cover) in a semiarid grass-shrub ecosystem. The drone-based estimates were validated with field measurements by using the standard transect methods (gap intercept, drop disk, and line-point intercept methods) in the spring and summer of 2017. The drone-based estimates showed strong agreements with in situ measurements in cases where deciduous vegetation (mesquite) had leaves with R-2 for bare soil gap size and vegetation height of 0.97 and 0.89 in the summer, respectively. The RMSE of bare soil gap size and vegetation height are 0.2 m and 6.72 cm in the summer, respectively. Based on these results, we found that drone-based remote sensing proved to be an efficient and highly accurate method that serves as a complement to field measurements for rangeland indicator estimation. We discussed the possible applications of drone-based products on arid and semiarid rangelands: the spatially explicit input of an ecological model, to detect and characterize non-stationarity, and to detect landscape anisotropy.
英文关键词	rangeland indicators remote sensing Special Feature Dynamic Deserts structure from motion unmanned aerial vehicle (UAV)
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000723142700018
WOS关键词	HIGH-RESOLUTION IMAGERY ; SOUTHERN NEW-MEXICO ; FROM-MOTION SFM ; WIND EROSION ; DESERT GRASSLAND ; CONNECTIVITY ; COVER ; DRONE ; PHENOLOGY ; DRYLANDS
WOS类目	Ecology
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/373783
作者单位	[Zhang, Junzhe; Okin, Gregory S.; Zhou, Bo] Univ Calif Los Angeles, Dept Geog, Los Angeles, CA 90095 USA; [Karl, Jason W.] Univ Idaho, Dept Forest Rangeland & Fire Sci, Moscow, ID 83844 USA
推荐引用方式 GB/T 7714	Zhang, Junzhe,Okin, Gregory S.,Zhou, Bo,et al. UAV-derived imagery for vegetation structure estimation in rangelands: validation and application[J],2021,12(11).
APA	Zhang, Junzhe,Okin, Gregory S.,Zhou, Bo,&Karl, Jason W..(2021).UAV-derived imagery for vegetation structure estimation in rangelands: validation and application.ECOSPHERE,12(11).
MLA	Zhang, Junzhe,et al."UAV-derived imagery for vegetation structure estimation in rangelands: validation and application".ECOSPHERE 12.11(2021).