干旱区生态环境知识资源中心(Arid): Automatic Identification of Shrub-Encroached Grassland in the Mongolian Plateau Based on UAS Remote Sensing

Arid

DOI	10.3390/rs11131623
	Automatic Identification of Shrub-Encroached Grassland in the Mongolian Plateau Based on UAS Remote Sensing
	Dong, Yu 1,2,3; Yan, Huimin 1; Wang, Na1,2 ; Huang, Mei 1; Hu, Yunfeng 1
通讯作者	Yan, Huimin
来源期刊	REMOTE SENSING
ISSN	2072-4292
出版年	2019
卷号	11 期号:13
英文摘要	Recently, the increasing shrub-encroached grassland in the Mongolian Plateau partly indicates grassland quality decline and degradation. Accurate shrub identification and regional difference analysis in shrub-encroached grassland are significant for ecological degradation research. Object-oriented filter (OOF) and digital surface model (DSM)-digital terrain model (DTM) analyses were combined to establish a high-accuracy automatic shrub identification algorithm (CODA), which made full use of remote sensing products by unmanned aircraft systems (UASs). The results show that: (1) The overall accuracy of CODA in the Grain for Green test area is 89.96%, which is higher than that of OOF (84.52%) and DSM-DTM (78.44%), mainly due to the effective elimination of interference factors (such as shrub-like highland, well-grown grassland in terrain-depression area, etc.) by CODA. (2) The accuracy (87.5%) of CODA in the typical steppe test area is lower than that (92.5%) in the desert steppe test area, which may be related to the higher community structure complexity of typical steppe. Besides, the shrub density is smaller, and the regional difference is more massive in the typical steppe test area. (3) The ground sampling distance for best CODA accuracy in the Grain for Green test area is about 15 cm, while it is below 3 cm in the typical and desert steppe test area.
英文关键词	object-oriented filter digital orthophoto map digital surface model excess green minus excess red (ExG-ExR) Hough circles
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000477049000113
WOS关键词	INNER-MONGOLIA ; VEGETATION ; LIDAR ; ECOSYSTEM ; IMAGERY ; RESTORATION ; CALIBRATION ; EXTRACTION ; HEIGHT ; IMPACT
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	中国科学院地理科学与资源研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218389
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 3.Dept Nat Resources Jilin Prov, Changchun 130000, Jilin, Peoples R China
推荐引用方式 GB/T 7714	Dong, Yu,Yan, Huimin,Wang, Na,et al. Automatic Identification of Shrub-Encroached Grassland in the Mongolian Plateau Based on UAS Remote Sensing[J]. 中国科学院地理科学与资源研究所,2019,11(13).
APA	Dong, Yu,Yan, Huimin,Wang, Na,Huang, Mei,&Hu, Yunfeng.(2019).Automatic Identification of Shrub-Encroached Grassland in the Mongolian Plateau Based on UAS Remote Sensing.REMOTE SENSING,11(13).
MLA	Dong, Yu,et al."Automatic Identification of Shrub-Encroached Grassland in the Mongolian Plateau Based on UAS Remote Sensing".REMOTE SENSING 11.13(2019).