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作者	单位
尹雯，李卫国，申双和，董莹莹，王志明，陈华	（1.南京信息工程大学应用气象学院,江苏南京 210044； 2.江苏省农业科学院农业信息研究所,江苏南京 210014； 3.中国科学院遥感与数字地球研究所，北京 100094）

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中文摘要:

为给生产管理中及时掌握县域冬小麦长势的动态变化提供有效手段，以江苏省沭阳县为研究区，基于冬小麦生物量形成的生理生态过程，重构冬小麦生物量遥感估测模型。选用两景不同时相的HJ星影像数据，利用植被指数反演的LAI数据，对冬小麦生物量模型进行参数修订，并对县域冬小麦拔节期生物量的空间分布进行估测。在此基础上，进一步估测冬小麦抽穗期生物量分布特征及其动态变化特点。结果表明：（1）冬小麦拔节期生物量估测值和观测值范围分别为2 054.3~4 828.3 和1 962.5~4 568.4 kg·hm^-2 ，平均值分别为3 148和3 045.5 kg·hm^-2 ，RMSE为214.8 kg·hm^-2 ，决定系数为0.919 1，表明冬小麦生物量模型模拟精度较好；（2）冬小麦抽穗期生物量较拔节期发生明显变化，其中长势变化快的田块面积为20 108.7hm，占总种植面积的23.4%。春季气候因素的转好以及肥水措施的实施对冬小麦营养与生殖共生阶段的生长起到明显促进作用。说明本研究提出的基于遥感反演信息与生长模型协同的冬小麦生物量估测方法能有效估测县域冬小麦不同生长时期生物量的空间分布及其动态变化。

英文摘要:

Gaining spatial information of winter wheat biomass and its dynamic changes in different periods timely with large area,is helpful to grasp the dynamic change of county winter wheat growth and provide reference for the management of winter wheat production. In this study,the remote sensing estimation model for winter wheat biomass was reconstructed based on the physiological and ecological processes of winter wheat biomass formation. The two scenes in different phases of HJ satellite image data was selected in Shuyang county of Jiangsu province,and then the parameter revision of winter wheat biomass model was modified by using LAI data retrieved from vegetation index. And the spatial distribution of winter wheat at jointing stage was estimated. On this basis,we further estimated the winter wheat biomass distribution and dynamic characteristics at heading stage. The results showed that the forecasted and observed biomass of winter wheat were 2 054.3-4 828.3 kg·hm^-2 and 1 962.5-4 568.4 kg·hm^-2 ,respectively. Their average biomass was 3 148 and 3 045.5 kg·hm^-2 ,respectively. The RMSE was 214.8 kg·hm^-2 and winter wheat biomass model has high estimation accuracy. According to the remote sensing monitoring of winter wheat biomass at heading stage,the biomass of heading stage was significantly higher than that of jointing stage. Among them,the area of farmland with fast change of winter wheat growth was 20 108.7 hm,accounting for 23.4% of the total planting area. The improvement of climatic factors in spring and the implementation of water and fertilizer played a significant role in promoting the growth of winter wheat nutrition and reproduction. The winter wheat biomass estimation method,based on remote sensing retrieval information and growth model,can estimate the biomass of winter wheat in spatial distribution and dynamic changes of different growth stages.

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