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植被物候的检测对于认识自然季节现象的变化规律,服务农作物生产、全球变化、生态学应用方面具有重要价值。植被指数是描述植被数量、质量、植被长势和生物量指标的重要参数。利用SPOT VEGETATION NDVI时间序列数据,采用Savitzky-Golay滤波方法重建了NDVI的年内变化序列,并利用此数据提取了黑河流域植被物候空间分布格局。结果表明,采用此方法得到的植被物候信息和该区域的农事历信息符合较好。黑河流域植被物候具有明显的空间格局。上游的高寒草地区生长季长度较短。中游地区受人类活动影响严重,较为符合该区农作物生长信息。
The detection of vegetation phenology is of great value in understanding the changing laws of natural seasonal phenomena, serving crop production, global changes and ecological applications. Vegetation index is an important parameter to describe vegetation quantity, quality, vegetation growth and biomass index. Based on the time series data of SPOT VEGETATION NDVI, the Savitzky-Golay filter method was used to reconstruct the annual variation series of NDVI, and the spatial distribution pattern of vegetation phenology in Heihe River Basin was extracted by using this data. The results show that the vegetation phenology information obtained by this method is in good agreement with the agricultural calendar information in this area. Vegetation phenology in Heihe River Basin has obvious spatial pattern. The alpine grassland in the upper reaches has a shorter growing season. The middle reaches of the area affected by human activities serious, more in line with the crop growth information in the area.