Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/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
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ISSN | 0168-1699 |
EISSN | 1872-7107 |
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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