Using GF-2 Images to Detect Tamarix Chinensis Community within a Vegetation Patch

doi:10.1088/1742-6596/1575/1/012213

	Using GF-2 Images to Detect Tamarix Chinensis Community within a Vegetation Patch
	Liu,Qingsheng
刊名	Journal of Physics: Conference Series
	2020-06-01
卷号	1575 期号:1
ISSN号	1742-6588
DOI	10.1088/1742-6596/1575/1/012213
英文摘要	Abstract The quasi-circular vegetation patches (QVPs) are mainly composed of suaeda salsa, Tamarix chinensis, and Phragmites australis in the Yellow River Delta, China. The previous studies indicate that the shrubs within a vegetation patch play an important role in the establishment and disappearance of vegetation patch. Therefore, in this work, the method based on the tasselled cap brightness and greenness components derived from the April image and the August GF-2 image acquired after water replenishment with the decision tree classifier was developed for quickly detecting the Tamarix chinensis community. The detection rate was 73.5%, and the misclassification rate was 12.1%. In the future, more samples of plant community and multi-seasonal images such as the late fall-early winter leaf-off data needs to be applied to further improve the detection accuracy.
语种	英语
出版者	IOP Publishing
WOS记录号	IOP:1742-6588-1575-1-012213
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/158348]
专题	中国科学院地理科学与资源研究所
作者单位	State Key Lab. Of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
推荐引用方式 GB/T 7714	Liu,Qingsheng. Using GF-2 Images to Detect Tamarix Chinensis Community within a Vegetation Patch[J]. Journal of Physics: Conference Series,2020,1575(1).
APA	Liu,Qingsheng.(2020).Using GF-2 Images to Detect Tamarix Chinensis Community within a Vegetation Patch.Journal of Physics: Conference Series,1575(1).
MLA	Liu,Qingsheng."Using GF-2 Images to Detect Tamarix Chinensis Community within a Vegetation Patch".Journal of Physics: Conference Series 1575.1(2020).