干旱区生态环境知识资源中心(Arid): Study of the desertification index based on the albedo-MSAVI feature space for semi-arid steppe region

Arid

DOI	10.1007/s12665-019-8111-9
	Study of the desertification index based on the albedo-MSAVI feature space for semi-arid steppe region
	Wu, Zhenhua 1,2,3; Lei, Shaogang 2,3; Bian, Zhengfu 2,3; Huang, Jiu 2,3; Zhang, Yong 4
通讯作者	Bian, Zhengfu
来源期刊	ENVIRONMENTAL EARTH SCIENCES
ISSN	1866-6280
EISSN	1866-6299
出版年	2019
卷号	78 期号:6
英文摘要	Desertification has been listed as the top of ten major problems affecting global environmental changes, and represents one of the important reasons of semi-arid grassland degradation. It is therefore crucial to understand ecological environment of semi-arid grasslands and temporal and spatial changes in real time for regional and local environmental protection and management. At present, remote sensing technology is being widely used in monitoring and evaluation of land desertification due to its wide observation range, large amount of information, fast data updating and high accuracy. It represents an advanced method for remote sensing monitoring of desertification by extracting various indicators and constructing feature space. Based on this, this study used Landsat images and field survey data to establish a desertification index (SASDI) model based on the albedo-MSAVI (Modified Soil Adjusted Vegetation Index) feature space and analyze the relationship between desertification and surface quantitative parameters in semi-arid grassland area. Results show that the SASDI model has a high correlation (R-2=0.7585) with the organic matter in the soil surface and makes full use of multi-dimensional remote sensing information. The index reflects the surface cover, water, and heat combination as well as changes of the desertification land, with a clear biophysical significance. Moreover, the index is simple and easy to obtain, facilitating to quantitative analysis and continuous monitoring of desertification in semi-arid grasslands.
英文关键词	Albedo MSAVI Feature space Desertification index Remote sensing monitoring
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000462148000005
WOS关键词	IMPERVIOUS SURFACE ; LANDSAT-TM ; ECOSYSTEM ; IMPACT ; DYNAMICS ; DROUGHT ; IMAGERY ; DESERT ; SAHARA ; TREND
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/215397
作者单位	1.China Univ Min & Technol, Inst Land & Resources, Xuzhou 221116, Jiangsu, Peoples R China; 2.Minist Educ, Engn Res Ctr Mine Ecol Restorat, Xuzhou 221116, Jiangsu, Peoples R China; 3.China Univ Min & Technol, Sch Environm Sci & Spatial Informat, Xuzhou 221116, Jiangsu, Peoples R China; 4.Anhui Univ Finance & Econ, Sch Finance & Publ Management, Bengbu 233030, Anhui, Peoples R China
推荐引用方式 GB/T 7714	Wu, Zhenhua,Lei, Shaogang,Bian, Zhengfu,et al. Study of the desertification index based on the albedo-MSAVI feature space for semi-arid steppe region[J],2019,78(6).
APA	Wu, Zhenhua,Lei, Shaogang,Bian, Zhengfu,Huang, Jiu,&Zhang, Yong.(2019).Study of the desertification index based on the albedo-MSAVI feature space for semi-arid steppe region.ENVIRONMENTAL EARTH SCIENCES,78(6).
MLA	Wu, Zhenhua,et al."Study of the desertification index based on the albedo-MSAVI feature space for semi-arid steppe region".ENVIRONMENTAL EARTH SCIENCES 78.6(2019).