Automatic Identification of Shrub-Encroached Grassland in the Mongolian Plateau Based on UAS Remote Sensing
文献类型：期刊论文
| 作者 | Dong, Yu1,2,3; Yan, Huimin1; Wang, Na1,3; Huang, Mei1; Hu, Yunfeng1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2019-07-01 |
| 卷号 | 11期号:13页码:20 |
| 关键词 | object-oriented filter digital orthophoto map digital surface model excess green minus excess red (ExG-ExR) Hough circles |
| ISSN号 | 2072-4292 |
| DOI | 10.3390/rs11131623 |
| 通讯作者 | Yan, Huimin(yanhm@igsnrr.ac.cn) |
| 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. |
| WOS关键词 | INNER-MONGOLIA ; VEGETATION ; LIDAR ; ECOSYSTEM ; IMAGERY ; RESTORATION ; CALIBRATION ; EXTRACTION ; HEIGHT ; IMPACT |
| 资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23100202] ; National Natural Science Foundation of China[41671517] |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000477049000113 |
| 出版者 | MDPI |
| 资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/68894]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yan, Huimin |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Dept Nat Resources Jilin Prov, Changchun 130000, Jilin, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, 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]. 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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