基于关键发育期的冬小麦长势遥感监测方法

利用遥感方法识别中国冬小麦关键发育期并基于识别发育期进行长势监测。通过冬小麦主产区271个气象站2005-2010年的农业气象资料和同期MODIS-EVI(增强植被指数)遥感资料,综合分析EVI时间序列与冬小麦返青、抽穗和成熟期的关系,使用最大变化斜率法、窗口转折点法和简单转折点法识别冬小麦关键发育期。然后基于遥感识别抽穗期数据,使用相邻年抽穗期EVI值比较方法对冬小麦2006-2010年长势进行遥感监测。遥感识别冬小麦主要发育期均方根均值为14.61d,平均绝对偏差均值为11.2d;冬小麦遥感长势监测结果显示基于识别抽穗期的遥感长势监测方法监测效果好于传统长势监测方法。

Remote Sensor Monitoring Method for Winter Wheat Growth Based on Key Development Periods

The key development periods of winter wheat was detected by using remote sensing method and growth was monitored based on the detection. The relationship of EVI time series and green - turning, earring and mature of winter wheat was analyzed, based on agro-meteorological data at 271 agro-meteorological stations from 2005 to 2010 and remote sensing data of Enhanced Vegetation Index （EVI） and Terra moderate - resolution imaging spectra - radiome~er（MODIS） . The key development periods of winter wheat were detected by using the maximum slop method, turning point with window method, and simple turning point method. The growth situation of winter wheat during 2006 - 2010 was monitored by using compassion method EVI during the earring period. The results indicated that it was feasible to detect key development periods of winter wheat by using the EVI data with a mean absolute error of 11.2d and an RMSE of 14.61d. The monitoring method based on detecting the earring periods was superior to the traditional method.