植被物候是研究植被与气候、环境变化间关系的重要参量。本文针对目前常用的阈值法、拟合法和延迟滑动平均法等植被物候遥感监测方法进行比较分析;介绍了传感器网络法、物候模型法等物候遥感监测验证方法;从遥感监测方法和数据源两方面分析物候遥感监测的误差来源;针对目前研究中存在的问题,讨论了遥感物候的主要研究方向:从机理层面,应创新植被物候遥感监测方法;建立标准化地面验证数据源;利用多源遥感数据,组成高时间分辨率的原始遥感数据源,提高植被物候遥感监测的时间分辨率和测算精度。

We reviewed and analyzed the monitoring methods, the validation methods and the error sources of remote sensing phenology. First, the monitoring methods, including the threshold-based, delayed-moving-average and curve-fitting methods, etc., were introduced and inter-compared. Second, the primary validation methods were analyzed, including sensor-networkmonitoring, simulation model, etc. The error sources of remote sensing phenology products were further analyzed from the monitoring methods and the remote sensing data. At last, we made prospects for the future development of vegetation phenology monitoring by remote sensing: (1) To develop the new monitoring methodology by coupling the physiological and ecological respond mechanisms of vegetation phenology with the spectral response of remote sensing data. (2) To establish the standardized validation dataset for remote sensing phenology. (3) To improve the temporal resolution and the accuracy of remote sensing data for phenology monitoring by multi-satellite data.