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Mathematical Problems in Engineering
Volume 2017 (2017), Article ID 5032091, 10 pages
Research Article

Detection of Decreasing Vegetation Cover Based on Empirical Orthogonal Function and Temporal Unmixing Analysis

1Urban Development Research Institution, Shanghai Normal University, Shanghai 200234, China
2School of Geographic Sciences, East China Normal University, Shanghai 200062, China
3Center for International Earth Science Information Network (CIESIN), Columbia University, 61 Route 9W, P.O. Box 1000, Palisades, NY 10964, USA
4Tourism College, Shanghai Normal University, Shanghai 200234, China

Correspondence should be addressed to Ruishan Chen; moc.liamg@40hsrnehC

Received 18 October 2016; Revised 16 December 2016; Accepted 11 January 2017; Published 13 February 2017

Academic Editor: Hasi Bagan

Copyright © 2017 Di Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Vegetation plays an important role in the energy exchange of the land surface, biogeochemical cycles, and hydrological cycles. MODIS (MODerate-resolution Imaging Spectroradiometer) EVI (Enhanced Vegetation Index) is considered as a quantitative indicator for examining dynamic vegetation changes. This paper applied a new method of integrated empirical orthogonal function (EOF) and temporal unmixing analysis (TUA) to detect the vegetation decreasing cover in Jiangsu Province of China. The empirical orthogonal function (EOF) statistical results provide vegetation decreasing/increasing trend as prior information for temporal unmixing analysis. Temporal unmixing analysis (TUA) results could reveal the dominant spatial distribution of decreasing vegetation. The results showed that decreasing vegetation areas in Jiangsu are distributed in the suburbs and newly constructed areas. For validation, the vegetation’s decreasing cover is revealed by linear spectral mixture from Landsat data in three selected cities. Vegetation decreasing areas pixels are also calculated from land use maps in 2000 and 2010. The accuracy of integrated empirical orthogonal function and temporal unmixing analysis method is about 83.14%. This method can be applied to detect vegetation change in large rapidly urbanizing areas.