Arid
DOI10.1016/j.compag.2008.04.008
Topography-based modeling to estimate percent vegetation cover in semi-arid Mu Us sandy land, China
Ju, Cunyong2; Cai, Tijiu2; Yang, Xiaohui1
通讯作者Yang, Xiaohui
来源期刊COMPUTERS AND ELECTRONICS IN AGRICULTURE
ISSN0168-1699
EISSN1872-7107
出版年2008
卷号64期号:2页码:133-139
英文摘要

Desertification is an important ecological and environmental problem that concerns the whole globe. Percent vegetation cover is closely related to occurrence and degree of desertification, and its estimation is essential to monitoring and assessing land desertification. Normalized Different Vegetation Index (NDVI), an indicator widely employed to estimate percent vegetation cover, did not work well because of heterogeneous topographical features and vegetation cover in Mu Us sandy land. We selected variables according to correlations between them and vegetation cover fraction and estimated percent vegetation cover with the general regression neural network (GRNN) model and partial least squares (PLSs) regression linear model. Results indicated that correlations between remote sensing indices and vegetation cover fraction varied with topographical feature types. We also found that if field samples were classified with topographical features before estimation, prediction precision of the model was improved for individual plots. This research provides new alternatives for more precise vegetation cover estimation in the semi-arid area of China. (C) 2008 Elsevier B.V. All rights reserved.


英文关键词Desertification Percent vegetation cover General regression neural network Partial least-square regression method Remotely sensed data Topographical features classification
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000261074500006
WOS关键词NEURAL-NETWORK ; DESERTIFICATION ; SATELLITE ; FRACTION ; REFLECTANCE ; REGRESSION ; DERIVATION ; INDEX
WOS类目Agriculture, Multidisciplinary ; Computer Science, Interdisciplinary Applications
WOS研究方向Agriculture ; Computer Science
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/156934
作者单位1.Chinese Acad Forestry, Res Inst Forestry, Beijing 100091, Peoples R China;
2.NE Forestry Univ, Coll Forestry, Haerbin 150040, Heilongjiang Pr, Peoples R China
推荐引用方式
GB/T 7714
Ju, Cunyong,Cai, Tijiu,Yang, Xiaohui. Topography-based modeling to estimate percent vegetation cover in semi-arid Mu Us sandy land, China[J],2008,64(2):133-139.
APA Ju, Cunyong,Cai, Tijiu,&Yang, Xiaohui.(2008).Topography-based modeling to estimate percent vegetation cover in semi-arid Mu Us sandy land, China.COMPUTERS AND ELECTRONICS IN AGRICULTURE,64(2),133-139.
MLA Ju, Cunyong,et al."Topography-based modeling to estimate percent vegetation cover in semi-arid Mu Us sandy land, China".COMPUTERS AND ELECTRONICS IN AGRICULTURE 64.2(2008):133-139.
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