%0 Journal Article
%T Review of advances in vegetation phenology monitoring by remote sensing<br>植被物候遥感监测研究进展
%A XIA Chuanfu
%A LI Jing
%A LIU Qinhuo
%A <br>夏传福
%A 李静
%A 柳钦火
%J 遥感学报
%D 2013
%I 
%X 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.
%K vegetation phenology
%K remote sensing phenology
%K remote sensing monitoring
%K growing season
%K phonological model<br>植被物候
%K 遥感物候学
%K 遥感监测
%K 生长季
%K 物候模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=AE8DAD4245F3E9A9B3BB2E9DD8259CFB&yid=FF7AA908D58E97FA&vid=BCA2697F357F2001&iid=CA4FD0336C81A37A&sid=CA4FD0336C81A37A&eid=7801E6FC5AE9020C&journal_id=1007-4619&journal_name=遥感学报&referenced_num=0&reference_num=46