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利用SPOT VGT传感器的NDVI时序数据,采用时间序列谐波分析算法(HANTS)对ND-VI数据进行去云预处理,基于趋势分析、Hurst指数分析等方法,研究了1999~2008年新疆植被覆盖的时空变化,分析了Hurst指数的空间分布规律及其在不同土地覆盖类型下的差异。结果表明:近10 a来,新疆植被总体呈现不显著的增加趋势且具有明显的空间差异性。R/S分析表明,新疆大部分地区植被变化将保持现在的趋势,局部地区具有反持续性。各土地覆盖类型Hurst指数均在0.63以上,沙漠、戈壁、裸地的Hurst指数明显高于其它土地覆盖类型,受人类活动影响较大的土地覆盖类型其Hurst指数较低,可持续性低于自然或半自然状态下的植被覆盖类型。
Based on NDVI time series data of SPOT VGT sensor and time series harmonic analysis algorithm (HANTS), ND-VI data was pre-processed for cloud removal. Based on the trend analysis and Hurst index analysis, the vegetation cover of Xinjiang The spatial and temporal distribution of Hurst index and its difference under different types of land cover are analyzed. The results show that in the recent 10 years, the vegetation in Xinjiang showed an insignificant increase tendency and obvious spatial difference. The R / S analysis shows that the vegetation change in most parts of Xinjiang will maintain the current trend and the anti-sustainability in some areas. The Hurst indices of all land cover types are all above 0.63. The Hurst indices of desert, Gobi and bare land are significantly higher than those of other land cover types. Land cover types that are greatly affected by human activities have lower Hurst indices and less sustainable nature Or semi-natural vegetation cover types.