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DOI	10.1016/j.ejrs.2011.06.001
	Comparison the accuracies of different spectral indices for estimation of vegetation cover fraction in sparse vegetated areas
	Barati, Susan; Rayegani, Behzad; Saati, Mehdi; Sharifi, Alireza; Nasri, Masoud
通讯作者	Rayegani, B
来源期刊	EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES
ISSN	1110-9823
EISSN	2090-2476
出版年	2011
卷号	14 期号:1 页码:49-56
英文摘要	Quantitative estimation of canopy biophysical variables are very important in different studies such as meteorology, agriculture and ecology, so knowledge of the spatial and temporal distribution of these variables would be highly beneficial. Meanwhile, remote sensing is known as an important source of information to estimate fractional vegetation cover in large areas. Today spectral indices have been very popular in the remote sensing of vegetation features. But often reflections of soil and rocks are much more than reflections of sparse vegetation in these areas, that makes separation of plant signals difficult. So in this study measured fractional vegetation cover of a desert area were evaluated with 20 vegetation indices in five different categories as the most appropriate category, or indicator for desert vegetation to be identified. The five categories were including: (1) conventional ratio and differential indices such as NDVI; (2) indices corrected and derived from the traditional indicators such as NDVIc and GNDVI; (3) soil reflectance adjusted indices such as SAVI; (4) triangle indices based on three discreet bands in their equation (Green, Red and NIR) like TVI; and (5) non-conventional ratio and differential indices such as CI. According to the results of this research, DVI index with 0.668 the coefficient of determination (R-2) showed the best fractional vegetation cover estimation. But according to the sparse vegetation in desert areas and the results of this research it seems none of these indicators alone can accurately estimate the percentage of vegetation cover, however, to do a proper estimation it is possible to enter data of these indices in a multivariate regression model. Using this method enabled us to increase the coefficient of determination of fractional vegetation cover estimation model up to 0.797. (C) 2011 National Authority for Remote Sensing and Space Sciences. Production and hosting by Elsevier B.V. All rights reserved.
英文关键词	Vegetation cover fraction Remote sensing LISS III Vegetation indices
类型	Article
语种	英语
开放获取类型	DOAJ Gold
收录类别	ESCI
WOS记录号	WOS:000216578200005
WOS关键词	BIOPHYSICAL PARAMETERS ; LANDSAT-TM ; LAI ; QUANTIFICATION ; REFLECTANCE ; SENSITIVITY ; PRECISION ; INVERSION
WOS类目	Environmental Sciences ; Remote Sensing
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/329713
作者单位	[Barati, Susan; Rayegani, Behzad] Islamic Azad Univ, Young Researchers Club, Ardestan Branch, Esfahan, Iran; [Saati, Mehdi; Nasri, Masoud] Islamic Azad Univ, Ardestan Branch, Esfahan, Iran; [Sharifi, Alireza] Univ Tehran, Surveying & Geomat Engn Dept, Tehran, Iran
推荐引用方式 GB/T 7714	Barati, Susan,Rayegani, Behzad,Saati, Mehdi,et al. Comparison the accuracies of different spectral indices for estimation of vegetation cover fraction in sparse vegetated areas[J],2011,14(1):49-56.
APA	Barati, Susan,Rayegani, Behzad,Saati, Mehdi,Sharifi, Alireza,&Nasri, Masoud.(2011).Comparison the accuracies of different spectral indices for estimation of vegetation cover fraction in sparse vegetated areas.EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES,14(1),49-56.
MLA	Barati, Susan,et al."Comparison the accuracies of different spectral indices for estimation of vegetation cover fraction in sparse vegetated areas".EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES 14.1(2011):49-56.