干旱区生态环境知识资源中心(Arid): Extraction of rocky desertification information in karst area by using different multispectral sensor data and multiple endmember spectral mixture analysis method

Arid

DOI	10.3389/fenvs.2022.996708
	Extraction of rocky desertification information in karst area by using different multispectral sensor data and multiple endmember spectral mixture analysis method
	Li, Yifu; Sun, Bin; Gao, Zhihai; Su, Wensen; Wang, Bengyu; Yan, Ziyu; Gao, Ting
通讯作者	Sun, B
来源期刊	FRONTIERS IN ENVIRONMENTAL SCIENCE
EISSN	2296-665X
出版年	2022
卷号	10
英文摘要	As a typical form of land degradation, karst rocky desertification seriously restricts the development of the regional social economy and seriously threatens the living environment of residents. Fractional vegetation cover (f(VC)) and bare rock fraction (f(BR)) are important indicators to identify and evaluate rocky desertification. However, it is a great challenge to obtain f(VC) and f(BR) due to the complex terrain and fragmentation of karst rocky desertification areas. In this study, comparisons between Sentinel-2A Multispectral Instrument (Sentinel-2), Landsat-8 Operational Land Imager (Landsat-8), and GF-6 Wide Field View (GF-6) sensors for retrieving f(VC) and f(BR) are presented. The multiple endmember spectral mixture analysis (MESMA) and measured spectral dates were used to overcome the limitations of Spectral mixture analysis (SMA). Subsequently, f(VC) and f(BR) were validated using root mean square error (RMSE), mean absolute error (MAE), and coefficient of determination (R (2)). The results showed that: 1) Sentinel-2 performed best in estimating f(VC) and obtained the highest accuracy (R (2) = 0.6259, root mean square error = 0.1568, mean absolute error = 0.1215), followed by GF-6 and Landsat 8; in the extraction of the f(BR), the performance was relatively the same, and the implementation of Sentinel-2 was also the best (R2 = 0.4911, root mean square error = 0.0714, mean absolute error = 0.0539), followed by GF-6 and Landsat 8. 2) Sentinel-2 images have higher resolution, the narrowest band range, and the most significant number of bands, which can better extract information about f(VC) and f(BR) in rocky desertification areas. 3) For the three optical sensors, the spatial resolution of the images is more important to extract the information of f(VC) and f(BR) in the rocky desertification areas. 4) In general, the extraction accuracy of f(BR) is not as good as that of f(VC). The complicated ecological and geological environment of decertified areas has more influence on the effect of extraction of the f(BR). 5) The Sentinel-2 achieves high accuracy for both f(VC) and f(BR) under different-level application scenarios. It thus has great potential for application in rocky desertification information extraction.
英文关键词	fractional vegetation cover fraction bare rock multiple endmember spectral mixture analysis karst rocky desertification sentinel-2 GF-6 WFV landsat 8 OLI
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000890902400001
WOS关键词	VEGETATION ; SELECTION ; GUIZHOU
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/392740
推荐引用方式 GB/T 7714	Li, Yifu,Sun, Bin,Gao, Zhihai,et al. Extraction of rocky desertification information in karst area by using different multispectral sensor data and multiple endmember spectral mixture analysis method[J],2022,10.
APA	Li, Yifu.,Sun, Bin.,Gao, Zhihai.,Su, Wensen.,Wang, Bengyu.,...&Gao, Ting.(2022).Extraction of rocky desertification information in karst area by using different multispectral sensor data and multiple endmember spectral mixture analysis method.FRONTIERS IN ENVIRONMENTAL SCIENCE,10.
MLA	Li, Yifu,et al."Extraction of rocky desertification information in karst area by using different multispectral sensor data and multiple endmember spectral mixture analysis method".FRONTIERS IN ENVIRONMENTAL SCIENCE 10(2022).