IGSNRR OpenIR
Automatic Identification of Shrub-Encroached Grassland in the Mongolian Plateau Based on UAS Remote Sensing
Dong, Yu1,2,3; Yan, Huimin1; Wang, Na1,2; Huang, Mei1; Hu, Yunfeng1
2019-07-01
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume11Issue:13Pages:20
Corresponding AuthorYan, Huimin(yanhm@igsnrr.ac.cn)
AbstractRecently, 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.
Keywordobject-oriented filter digital orthophoto map digital surface model excess green minus excess red (ExG-ExR) Hough circles
DOI10.3390/rs11131623
WOS KeywordINNER-MONGOLIA ; VEGETATION ; LIDAR ; ECOSYSTEM ; IMAGERY ; RESTORATION ; CALIBRATION ; EXTRACTION ; HEIGHT ; IMPACT
Indexed BySCI
Language英语
Funding ProjectStrategic Priority Research Program of the Chinese Academy of Sciences[XDA23100202] ; National Natural Science Foundation of China[41671517]
Funding OrganizationStrategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000477049000113
PublisherMDPI
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/68895
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYan, Huimin
Affiliation1.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
Recommended Citation
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]. REMOTE SENSING,2019,11(13):20.
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),20.
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):20.
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