干旱区生态环境知识资源中心(Arid): Spatial pattern analysis of Haloxylon ammodendron using UAV imagery

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DOI	10.1016/j.jag.2019.06.001
	Spatial pattern analysis of Haloxylon ammodendron using UAV imagery - A case study in the Gurbantunggut Desert
	Xu, Jia 1; Gu, Haibin 1,2; Meng, Qingmin 2; Cheng, Junhui 1; Liu, Yunhua 1; Jiang, Ping'; an 1; Sheng, Jiandong 1; Deng, Jiang 1; Bai, Xue 1
通讯作者	Sheng, Jiandong
来源期刊	INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
ISSN	1569-8432
EISSN	1872-826X
出版年	2019
卷号	83
英文摘要	Spatial patterns are not only the foundation for the understanding of plant interactions, but also reflect the spatial processes among plant populations. The primary requirement of spatial pattern analysis is the collections of location information of individual plants. In this study, we used low-altitude Unmanned Aerial Vehicle (UAV) remote sensing technology to obtain regional high-precision remote sensing images for Haloxylon ammodendron (H. ammodendron) forest in the southwestern Gurbantunggut Desert, and extracted spatial position information to analyze the spatial patterns using Ripley's L(r) function. Applying and comparing seven spatial position extraction methods, this study showed that the index RGRI (Red-Green Ratio Index) made 83.46% accuracy in the spatial position extraction, and an accuracy of 79.48% was obtained using NGBDI (Normalized Green-Blue Difference Index), while other five location information extraction methods resulted relatively lower accuracy. Results from spatial pattern analysis indicated that the extraction by UAV remote sensing were consistent with those obtained by field measurements. The H. ammodendron population showed a random distribution within the scale of 0-15 m, which suggested that the dependence of mutual asylum between individuals was low and not important. This distribution may be caused by the intense competition of individual vegetation for soil moisture, nutrients and other resources in desert areas. This study with low-altitude UAV imagery index analysis provided an efficient approach to rapid monitoring of plant population distribution characteristics in desert areas.
英文关键词	Haloxylon ammo Dendron UAV Vegetation index Position analysis Spatial point pattern analysis
类型	Article
语种	英语
国家	Peoples R China ; USA
收录类别	SCI-E
WOS记录号	WOS:000487574200001
WOS关键词	VEGETATION INDEXES ; SURFACE MODELS ; LIDAR DATA ; DELINEATION ; TREES ; COVER ; SEGMENTATION ; EXTRACTION ; HEIGHT ; EDGE
WOS类目	Remote Sensing
WOS研究方向	Remote Sensing
EI主题词	2019-11-01
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/310646
作者单位	1.Xinjiang Agr Univ, Coll Grassland & Environm Sci, Xinjiang Key Lab Son & Plant Ecol Proc, Urumqi 830052, Peoples R China; 2.Mississippi State Univ, Dept Geosci, Mississippi State, MS 39762 USA
推荐引用方式 GB/T 7714	Xu, Jia,Gu, Haibin,Meng, Qingmin,et al. Spatial pattern analysis of Haloxylon ammodendron using UAV imagery - A case study in the Gurbantunggut Desert[J],2019,83.
APA	Xu, Jia.,Gu, Haibin.,Meng, Qingmin.,Cheng, Junhui.,Liu, Yunhua.,...&Bai, Xue.(2019).Spatial pattern analysis of Haloxylon ammodendron using UAV imagery - A case study in the Gurbantunggut Desert.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,83.
MLA	Xu, Jia,et al."Spatial pattern analysis of Haloxylon ammodendron using UAV imagery - A case study in the Gurbantunggut Desert".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 83(2019).