• 遥感科学与应用技术 •

### 基于SSA-Mann Kendall的草原露天矿区NDVI时间序列分析

1. 1. 中国矿业大学（徐州）环境与测绘学院,徐州 221116;2. 中国矿业大学（徐州） 江苏省资源环境信息工程重点实验室,徐州 221116
• 收稿日期:2016-02-28 修回日期:2016-05-08 出版日期:2016-08-10 发布日期:2016-08-10
• 通讯作者: 牟守国 E-mail:jiaduo_geo@163.com;mushouguo@163.com
• 作者简介:

• 基金资助:
国家科技基础性工作专项（2014FY110800）

### Analysis of NDVI Time Series in Grassland Open-cast Coal Mines Based on SSA-Mann Kendall

JIA Duo(), MU Shouguo(), ZHAO Hua

1. 1. School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China;2. Institute of Land Resources, China University of Mining and Technology, Xuzhou 221116, China
• Received:2016-02-28 Revised:2016-05-08 Online:2016-08-10 Published:2016-08-10

Abstract:

Vegetation index time series have difficulty to depict the detailed response of vegetation dynamics to coal mining and the signals of change trend and periodic oscillation at an inter-annual scale. While at the monthly scale, the signals are so weak that they are hard to be extracted due to the disturbance of vegetation phenology. In addition, the physical significance of the transformation detection algorithm is still unclear. In order to solve these problems and to reveal the change trend and periodic oscillation of vegetation growth in the disturbance area of grassland open-cast mine, this paper selected Shengli open-cast mine area as an study area to extract, amplify and quantitatively compute the signals of the monthly change trend and periodic oscillation based on the MODIS NDVI time series from January 2001 to December 2013 in the mining disturbance area and the unchanged feature region. SSA-Man Kendall was adopted to extract the change trend and periodic oscillation. Moreover, we quantitatively analyzed the significant degree and jump time. For the change trend, the Sen slope of the change components were calculated, which could indicates the change direction. Then the trend significance was measured based on the results of Mann Kendall trend analysis. Combined with the moving-t test for some fuzzy catastrophe points, the time points of abrupt changes were also detected. For the periodic oscillation, it was estimated based on the utilization of power spectrum analysis. The evolution characteristics of NDVI time series′ periodic oscillation in different feature regions were also studied. The results show that SSA-Mann Kendall can effectively extract the signals of change trend and be competent in depicting the periodic oscillation at different time scales, as well as quantitatively express the change trend signals. A downward trend of NDVI time series in the stopes is significant, and it is more significant than the waste dumps within the same mine area, while the trend in the unchanged feature region is relative stable. In addition, damage of vegetation is a sudden event in the grassland opencast mine area, and the catastrophe points of NDVI time series usually occur at the beginning of the mine construction. In the partial open-cast mines, NDVI time series′ periodic oscillation in the stopes and waste dumps are different, which are related to the different disturbance forms within these areas. In particular, the vegetation almost vanishes in the stopes with coal mining, however, the dynamics of vegetation growth are more complex in the waste dumps due to the effective vegetation restoration.