干旱区生态环境知识资源中心(Arid): Exploring an efficient sandy barren index for rapid mapping of sandy barren land from Landsat TM/OLI images

Arid

DOI	10.1016/j.jag.2019.04.001
	Exploring an efficient sandy barren index for rapid mapping of sandy barren land from Landsat TM/OLI images
	Zhao, Hongmei 1; Chen, Xiaoling 2; Zhang, Zhan 2; Zhou, Yuyu 3,4
通讯作者	Zhao, Hongmei
来源期刊	INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
ISSN	0303-2434
出版年	2019
卷号	80 页码:38-46
英文摘要	Sandification is a serious global environmental problem. The spatiotemporal dynamics of sandy barren land is an important indicator in monitoring its ecological restoration. Such monitoring requires fast and accurate identification of sandy barren land. Although several bare indexes have been developed for the mapping of barren land, these have not proven effective in the mapping of sandy barren land. In this paper, the partial normalized sandy barren index (PNSBI), a new barren index based on spectrum reflectance measurement and analysis, is proposed. The efficiency and enhanced accuracy of PNSBI at retrieving sandy barren land was validated using Landsat Thematic Mapper (TM) and Operational Land Imager (OLI) images of the Poyang Lake and Ordos regions of China. These results suggest that the proposed PNSBI achieved higher accuracy than the other bare indexes in retrieving sandy barren land from the other types of bare land. And it is benefit for the study of the spatiotemporal dynamics of sandification, water distribution, soil erosion, etc.
英文关键词	Bare index Spectral measurement Hyper-spectral Partial normalized sandy barren index
类型	Article
语种	英语
国家	Peoples R China ; USA
收录类别	SCI-E
WOS记录号	WOS:000470951000004
WOS关键词	BARENESS INDEX ; AREAS ; DESERTIFICATION ; REFLECTANCE ; TM
WOS类目	Remote Sensing
WOS研究方向	Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216344
作者单位	1.Jiangxi Normal Univ, Minist Educ, Key Lab Wetland & Watershed Res, Nanchang 330022, Jiangxi, Peoples R China; 2.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Hubei, Peoples R China; 3.Iowa State Univ, Dept Geol Sci, Ames, IA 50011 USA; 4.Iowa State Univ, Dept Atmospher Sci, Ames, IA 50011 USA
推荐引用方式 GB/T 7714	Zhao, Hongmei,Chen, Xiaoling,Zhang, Zhan,et al. Exploring an efficient sandy barren index for rapid mapping of sandy barren land from Landsat TM/OLI images[J],2019,80:38-46.
APA	Zhao, Hongmei,Chen, Xiaoling,Zhang, Zhan,&Zhou, Yuyu.(2019).Exploring an efficient sandy barren index for rapid mapping of sandy barren land from Landsat TM/OLI images.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,80,38-46.
MLA	Zhao, Hongmei,et al."Exploring an efficient sandy barren index for rapid mapping of sandy barren land from Landsat TM/OLI images".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 80(2019):38-46.