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-network-monitoring
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.
关键词
植被物候遥感物候学遥感监测生长季物候模型
Keywords
vegetation phenologyremote sensing phenologyremote sensing monitoringgrowing seasonphonological model