Spectral mixing mechanism analysis of photosynthetic/non-photosynthetic vegetation and bared soil mixture in the Hunshandake (Otindag) sandy land

	Spectral mixing mechanism analysis of photosynthetic/non-photosynthetic vegetation and bared soil mixture in the Hunshandake (Otindag) sandy land
	Zheng, Guo-Xiong 1; Li, Xiao-Song 1; Zhang, Kai-Xuan 1; Wang, Jin-Ying 1
刊名	Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis
	2016
卷号	36 期号:4 页码:1063-1068
关键词	DISEASES
通讯作者	Li, Xiao-Song (lixs@radi.ac.cn)
英文摘要	Analysis of spectral mixing mechanism of photosynthetic vegetation (PV)/non-photosynthetic vegetation (NPV) and bared soil (BS) mixture would be essential to establish the optimal spectral mixture model and further improve the estimation accuracy of sparse vegetation coverage in Hunshandake (Otindag) sandy land, Inner Mongolia of China. Over the past several decades, remote sensing has been widely utilized for estimating the fractional cover of vegetation. However, most efforts have been devoted to the estimation of fractional cover of photosynthetic vegetation (fpv) rather than fractional cover of non-photosynthetic vegetation (fnpv), although the latter is equally important, especially in desertified regions. Among of which, linear spectral mixture analysis was the most popular approach since its simplicity and operability, while the effects of the multiple scattering and the resulting nonlinear mixing problem is seldom concerned. Therefore, taking the Otindag sandy land as the study area, the mixed spectra were acquired over 47 sample plots through utilizing two Hyperion images, and the endmember(PV/NPV and BS) spectral and fraction were acquired through field investigation. Then, linear spectral mixture model(LSMM)and non-linear spectral mixture model (NSMM) including different multiple scattering combinations were adopted to decompose the mixed spectra to determine the optimal spectral mixture model based on the root mean square error (RMSE) of the unmixing and estimation accuracy of fpvand fnpv. The results show: (1) The LSMM consists of PV/NPV and BS endmembers performs fairly well in Hunshandake (Otindag) sandy land, with a RMSE of 0.12 for fpv(R2=0.84) and a RMSE of 0.13 for fnpv(R2=0.66); (2) The performance of NSMMs, which consider different multiple photon scattering effects scenarios, do not improve significantly whether in unmixing RMSE or estimation accuracy of fpvand fnpv. Moreover, non-linear mixing effects among different endmembers has little effect on the estimation accuracy of fpv, but will result in a significant reduction of estimation accuracy on fnpv. © 2016, Peking University Press. All right reserved.
学科主题	Spectroscopy
类目[WOS]	Spectroscopy
收录类别	SCI ; EI
语种	中文
WOS记录号	WOS:20161902371757
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39409]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1. Key Laboratory of Digital Earth Sciences, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 2.100101, China 3. Institute of Geomatics and Geography, Liaoning Technical University, Fuxin 4.123000, China
推荐引用方式 GB/T 7714	Zheng, Guo-Xiong,Li, Xiao-Song,Zhang, Kai-Xuan,et al. Spectral mixing mechanism analysis of photosynthetic/non-photosynthetic vegetation and bared soil mixture in the Hunshandake (Otindag) sandy land[J]. Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis,2016,36(4):1063-1068.
APA	Zheng, Guo-Xiong,Li, Xiao-Song,Zhang, Kai-Xuan,&Wang, Jin-Ying.(2016).Spectral mixing mechanism analysis of photosynthetic/non-photosynthetic vegetation and bared soil mixture in the Hunshandake (Otindag) sandy land.Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis,36(4),1063-1068.
MLA	Zheng, Guo-Xiong,et al."Spectral mixing mechanism analysis of photosynthetic/non-photosynthetic vegetation and bared soil mixture in the Hunshandake (Otindag) sandy land".Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis 36.4(2016):1063-1068.