基于遥感的黑河流域植被物候空间格局提取分析

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。

Monitoring Spatial Patterns of Vegetation Phenology in Heihe River Basin based on Remote Sensing

Monitoring vegetation phenology is very important for many aspects,such as seasonal appearance of plant,crops production,global change,ecological study.Vegetation index is an excellent index for monitoring vegetation appearance.With the development of remote sensing,it has become a new way to extract vegetation phenology.We use the filter of Savitzky-Golay to rebuild the time-series of SPOT Vegetation NDVI,then we extracted the spatial patterns of vegetation phenology in Heihe river basin.The results show:Vegetation phenology information obtained using this method is in good agreement with the farming calendar of this region.Vegetation phenology have clear spatial patterns in Heihe river basin.Arctic-alpine meadow in the upper-stream have shortest growing season.While,the oasis in the middle-stream have much longer growing season.In the middle-stream,human activities greatly influenced vegetation growth,vegetation phenology is in good agreement with the farming calendar.