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Detection of Decreasing Vegetation Cover Based on Empirical Orthogonal Function and Temporal Unmixing Analysis
Joint Authors
Xu, Di
Chen, Ruishan
Xing, Xiaoshi
Lin, Wenpeng
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-13
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Xu, Di& Chen, Ruishan& Xing, Xiaoshi& Lin, Wenpeng. 2017. Detection of Decreasing Vegetation Cover Based on Empirical Orthogonal Function and Temporal Unmixing Analysis. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1190597
Modern Language Association (MLA)
Xu, Di…[et al.]. Detection of Decreasing Vegetation Cover Based on Empirical Orthogonal Function and Temporal Unmixing Analysis. Mathematical Problems in Engineering No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1190597
American Medical Association (AMA)
Xu, Di& Chen, Ruishan& Xing, Xiaoshi& Lin, Wenpeng. Detection of Decreasing Vegetation Cover Based on Empirical Orthogonal Function and Temporal Unmixing Analysis. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1190597
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190597