冬小麦生物量卫星遥感估测研究

生物量是反映冬小麦长势的重要群体指标,及时、大面积获取冬小麦生物量信息有利于掌握早期冬小麦长势和产量形成动态,对于生产管理措施制定意义重大。以江淮麦区的泰兴、兴化两市大田冬小麦为研究区域,基于冬小麦生物量模型(WBM),利用环境星(HJ-1)进行冬小麦拔节期生物量监测预报研究。在提取研究区域小麦面积信息的基础上,利用泰兴市冬小麦拔节期遥感影像反演的LAI及时修订生物量模型的参数,再利用模型对兴化市冬小麦生物量信息进行预测。结果表明:(1)利用生物量模型预测的冬小麦生物量为1897.03～3800.78kg/hm2,平均为2866.33kg/hm2。实测的生物量为1932.30～3689.44kg/hm2,平均为2711.75kg/hm2,相对误差为5.70%,生物量模型的预测性较好;(2)利用预测生物量与卫星影像NDVI的转换模型,可制作冬小麦生物量预测专题图,并能准确、大面积获取不同等级生物量的冬小麦面积分布与长势信息。

Estimating winter wheat biomass based on satellite remote sensing

Biomass is one of the important indicators of the winter wheat growth situation,which is also very important for mastering the winter wheat growth condition and yield dynamics formation for production management.This research took Taixing and Xinghua as study area,used HJ-1 for winter wheat biomass monitoring and forecasting with the winter wheat biomass model(WBM).Using of computer classification combined with man-machine interactive interpretation to interpret information of winter sheat area,and then checked with GPS data.LAI data of jointing stage from HJ images was used for adjusting the model parameters timely,and then the wheat biomass was estimated with the model.The results show that:(1) Winter wheat biomass forecasted by model was 1897.03~3800.78kg/ha and the average was 2866.332kg/ha.The measured biomass was 1932.301~3689.44kg/ha,the average was 2711.75kg/ha.Two dates were similar.(2) Using forecasting biomass and NDVI to establish relational model which can be used to make,wheat biomass prediction thematic maps,and can exactly obtain the large-scale winter wheat distribution and growth condition informations for different biomass levels.