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Mapping plant communities within quasi-circular vegetation patches using tasseled cap brightness, greenness, and topsoil grain size index derived from GF-1 imagery

文献类型：期刊论文

作者Liu, Qingsheng1,2; Huang, Chong1; Li, He1
刊名EARTH SCIENCE INFORMATICS
出版日期2021-03-19
页码10
关键词Plant community Quasi‐ circular vegetation patch GF-1 satellite imagery Tasseled cap brightness Tasseled cap greenness Topsoil grain size index
ISSN号1865-0473
DOI10.1007/s12145-021-00608-3
通讯作者Liu, Qingsheng(liuqs@lreis.ac.cn)
英文摘要Quantifying the structure and composition of quasi-circular vegetation patches (QVPs) is key in identifying ecosystem function, which will help create a cost-effective nature-based solution for restoring the degraded wetland ecosystem in the Yellow River Delta (YRD), China. However, research on mapping plant communities of QVPs using remotely sensed data has not been conducted. In this study, we found that the pan-sharpened GF-1 imagery acquired in May was suitable for mapping plant communities of QVPs. Guided by field survey data and finer spatial resolution remotely sensed data, we constructed a simple decision tree classifier using the tasseled cap brightness (TCB), greenness (TCG), and topsoil grain size index (TGSI) of the pan-sharpened GF-1 image acquired in May. The classification results showed that the combination of the TCB and TCG components could efficiently distinguish the vegetation from non-vegetation, and the use of the TGSI was able to capture the variations in plant communities within QVPs in the YRD, China. However, the influence of the acquisition season and mixed pixels of GF-1 imagery (especially small canopy T. chinensis in small QVPs) on classification accuracy still needs further investigation.
资助项目National Natural Science Foundation of China[4151144012] ; National Natural Science Foundation of China[41661144030] ; National Natural Science Foundation of China[41671422] ; National Key Research and Development Program of China[2016YFC1402701] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20030302] ; Innovation Project of LREIS[088RA20CYA] ; Innovation Project of LREIS[08R8A010YA] ; National Mountain Flood Disaster Investigation Project[SHZH-IWHR-57]
WOS研究方向Computer Science ; Geology
语种英语
WOS记录号WOS:000630639300002
出版者SPRINGER HEIDELBERG
资助机构National Natural Science Foundation of China ; National Key Research and Development Program of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Innovation Project of LREIS ; National Mountain Flood Disaster Investigation Project
源URL[http://ir.igsnrr.ac.cn/handle/311030/160405]  
专题中国科学院地理科学与资源研究所
通讯作者Liu, Qingsheng
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, 11A Datun Rd, Beijing 100101, Peoples R China
2.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Qingsheng,Huang, Chong,Li, He. Mapping plant communities within quasi-circular vegetation patches using tasseled cap brightness, greenness, and topsoil grain size index derived from GF-1 imagery[J]. EARTH SCIENCE INFORMATICS,2021:10.
APA Liu, Qingsheng,Huang, Chong,&Li, He.(2021).Mapping plant communities within quasi-circular vegetation patches using tasseled cap brightness, greenness, and topsoil grain size index derived from GF-1 imagery.EARTH SCIENCE INFORMATICS,10.
MLA Liu, Qingsheng,et al."Mapping plant communities within quasi-circular vegetation patches using tasseled cap brightness, greenness, and topsoil grain size index derived from GF-1 imagery".EARTH SCIENCE INFORMATICS (2021):10.

入库方式： OAI收割

来源：地理科学与资源研究所

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