中文摘要：

气候变化引起的物候变化对陆地生态系统和水文循环等都有重要的影响,基于遥感数据的植被物候识别模型是当前区域物候研究的重要手段。本文基于小波分析方法,以内蒙古高原地区的草地物候为研究对象,利用遥感数据和气象数据,分析遥感植被物候识别中逻辑斯蒂模型的适用范围。研究表明,在干燥指标（HAI）大于3的地方,植被的物候周期会被干旱扰乱,不再满足逻辑斯蒂模型的假设,这种气候条件的地区不适宜使用逻辑斯蒂模型来对植被物候进行识别;在干燥指数（HAI）大于2小于3的地方,植被生长过程在部分年份受干旱干扰,在应用逻辑斯蒂模型前须对植被生长过程进行检验。

英文摘要：

Phenology change as a result of climate change has dramatic influence on terrestrial ecosystem and hydrological cycle. Phenology detection models based on remote sensing data are important tools for regional phenological study. The study area of this paper is the Inner Mongolia grassland with focuse on the grassland phenology. We used the wavelet analysis method and data from remote sensing and meteorological stations to investigate the applicability of logistic model for phenology detection under different climate conditions. The results indicate that in areas with the drought index HAI larger than 3 the life circle of grass is disturbed, and the assumption of the logistic model will not be satisfied anymore, so under this climate condition it will not be reasonable to use logistic model for phenology detection; in areas where HAI is between 2 and 3, the vegetation growth may be carried out when applying the logistic model. disturbed by drought sometimes, so pre-test should be