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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。
Biomass is an important group index to reflect the growing of winter wheat. It is of great significance to gain timely and large-area biomass information of winter wheat to grasp the growth of early winter wheat and the formation of yield. Based on the winter wheat biomass model (WBM) in Taixing and Xinghua cities of Jianghuai wheat area, the environmental star (HJ-1) was used to study the biomass monitoring and forecasting of winter wheat at jointing stage. Based on the information of wheat area in the study area, LAI of LAI retrieved from jointing stage of Taixing was used to revise the parameters of biomass model in time, and then the model was used to predict the biomass information of winter wheat in Xinghua City. The results showed that: (1) The biomass of winter wheat predicted by biomass model was 1897.03 ~ 3800.78kg / hm2 with an average of 2866.33kg / hm2. The measured biomass was 1932.30 ~ 3689.44kg / hm2 with an average of 2711.75kg / hm2 with a relative error of 5.70%. The biomass model was more predictable. (2) By using the conversion model between predicted biomass and satellite image NDVI, The production of winter wheat biomass forecast thematic map, and accurate, large area access to different levels of biomass winter wheat area distribution and growth information.