太阳成8722(中国)有限公司-GREEN NO.1

标题：A Moving Weighted Harmonic Analysis Method for Reconstructing High-Quality SPOT VEGETATION NDVI Time-Series Data作者：Yang, Gang; Shen, Huanfeng; Zhang, Liangpei; He, Zongyi; Li, Xinghua

来源出版物：IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 卷：53 期：11 页：6008-6021 DOI：10.1109/TGRS.2015.2431315 出版年：NOV 2015

摘要：Global or regional environmental change is of wide concern. Extensive studies have indicated that long-term vegetation cover change is one of the most important factors reflecting environmental change, and normalized difference vegetation index (NDVI) time-series data sets have been widely used in vegetation dynamic change monitoring. However, the significant residual effects and noise levels impede the application of NDVI time-series data in environmental change research. This study develops a novel and robust filtermethod, i.e., the moving weighted harmonic analysis (MWHA) method, which incorporates a moving support domain to assign the weights for all the points, making the determination of the frequency number much easier. Additionally, a four-step process flow is designed to make the data approach the upper NDVI envelope, so that the actual change in the vegetation can be detected. A total of 487 test pixels selected from SPOT VEGETATION 10-dayMVC NDVI time-series data from January 1999 to December 2001 were used to illustrate the effectiveness of the new method by comparing the MWHA results with the results of another four existing methods. Finally, the long-term SPOT VEGETATION 10-day maximum-value compositing (MVC) NDVI time series for China from April 1998 to May 2014 was reconstructed by the use of the proposed method, and a test region in China was utilized to validate the effectiveness of the proposed MWHA method. All the results indicate that the reconstructed high-quality NDVI time series fits the actual growth profile of the vegetation and is suitable for use in further remote sensing applications.

入藏号：WOS:000359541100017

文献类型：Article

语种：English

作者关键词：Global Land Cover 2000 Project (GLC 2000), harmonic analysis of time series (HANTS), harmonic, local model, normalized difference vegetation index (NDVI), SPOT VEGETATION, time series

扩展关键词：NET PRIMARY PRODUCTION; LAND-COVER; FOURIER-ANALYSIS; SENSOR DATA; MODIS NDVI; AVHRR DATA; DATA SET; PHENOLOGY; PRODUCTS; NOISE

通讯作者地址：Yang, Gang; Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址：love64080@163.com; shenhf@whu.edu.cn; zlp62@whu.edu.cn; 837381190@qq.com; lixinghua5540@whu.edu.cn

地址：

[Yang, Gang; Shen, Huanfeng; He, Zongyi; Li, Xinghua] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Shen, Huanfeng; Zhang, Liangpei]Wuhan Univ, Collaborat Innovat Ctr Geospatial Technol, Wuhan 430079, Peoples R China.

[Zhang, Liangpei] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China.

研究方向：Geochemistry & Geophysics; Engineering; Remote Sensing; Imaging Science & Photographic Technology

ISSN：0196-2892

eISSN：1558-0644

影响因子（2014）：3.514