中国农业科学 ›› 2012, Vol. 45 ›› Issue (15): 3049-3057.doi: 10.3864/j.issn.0578-1752.2012.15.005

• 耕作栽培·生理生化·农业信息技术 • 上一篇    下一篇

基于SPOT-5影像的冬小麦拔节期生物量及氮积累量监测

 王备战, 冯晓, 温暖, 郑涛, 杨武德   

  1. 1.山西农业大学农学院,山西太谷 030801
    2.河南省农业科学院农业经济与信息研究中心,郑州 450008
    3.河南农业大学经济与管理学院,郑州 450002
    4.安阳县农业科学研究所,河南安阳455000
  • 收稿日期:2012-02-20 出版日期:2012-08-01 发布日期:2012-05-19
  • 通讯作者: 通信作者杨武德,E-mail:sxauywd@126.com
  • 作者简介:王备战,E-mail:wangbeizhan2007@163.com
  • 基金资助:

    河南省重点科技攻关项目(092102110042)、山西省科技攻关项目(20110311038)

Monitoring Biomass and N Accumulation at Jointing Stage in Winter Wheat Based on SPOT-5 Images

 WANG  Bei-Zhan, FENG  Xiao, WEN  Nuan, ZHENG  Tao, YANG  Wu-De   

  1. 1.山西农业大学农学院,山西太谷 030801
    2.河南省农业科学院农业经济与信息研究中心,郑州 450008
    3.河南农业大学经济与管理学院,郑州 450002
    4.安阳县农业科学研究所,河南安阳455000
  • Received:2012-02-20 Online:2012-08-01 Published:2012-05-19

摘要: 【目的】建立基于SPOT-5遥感信息的冬小麦拔节期地上部生物量和氮积累量的遥感监测模型,为利用SPOT-5影像进行大面积小麦生产力预测和氮素调控提供依据。【方法】分析冬小麦拔节期地上部生物量和氮积累量与同期SPOT-5光谱参数之间的定量关系,筛选出适宜的光谱参数,建立并评价冬小麦拔节期地上部生物量和氮积累量的遥感监测模型。【结果】绿光、红光和近红外波段反射率与冬小麦拔节期地上部生物量和氮积累量的相关系数均达到极显著水平。其中,近红外波段反射率对地上部生物量反应最敏感,绿光波段反射率则对地上部氮积累量反应最敏感。利用归一化植被指数(NDVI)为变量建立地上部生物量指数函数遥感监测模型表现最优,决定系数(R2)达到0.696**,均方根误差(RMSE)达到258.92 kg•hm-2。利用近红外和绿光波段反射率的比值为变量建立地上部氮积累量线性函数遥感监测模型表现最优,R2达到0.717**,RMSE达到19.24 kg•hm-2。依据上述模型,制作了研究区冬小麦拔节期地上部生物量和氮积累量遥感监测专题图。【结论】SPOT-5影像在冬小麦拔节期小麦长势监测中能够获得较高精度,具有广泛的应用前景。

关键词: 冬小麦, SPOT-, 拔节期, 生物量, 氮积累量, 监测模型

Abstract: 【Objective】 The monitoring equations to determine the above-ground biomass weight and N accumulation of winter wheat at jointing stage were established based on SPOT-5 images to provide reference for prediction of productivity and nitrogen regulation in mass production of wheat.【Method】Using SPOT-5 images and test data, the relationships were analyzed between spectral parameter and above-ground biomass weight, N accumulation of winter wheat at jointing stage, then the monitoring equations were established.【Result】The correlation between reflectance of green, red, near-infrared band and above-ground biomass weight, N accumulation reached 0.01 significant level. Reflectance of near-infrared band showed the most sensitive response for above-ground biomass weight, and reflectance of red band showed the most sensitive response to above-ground N accumulation. The exponential function model based on NDVI inversed plant above-ground biomass weight was the best, and R2 was 0.696** and that of RMSE was 258.92 kg•hm-2. The exponential function model based on the reflectance ratio of near-infrared band to red band inversed plant above-ground N accumulation was the best, and R2 was 0.717** and that of RMSE was 19.24 kg•hm-2. Based on the monitoring models, the thematic maps were produced to monitor above-ground biomass and N accumulation at jointing stage.【Conclusion】Using SPOT-5 images can achieve high precision in growth monitoring of winter wheat at jointing stage and it has a wide application prospect.

Key words: winter wheat, SPOT-5, jointing stage, biomass, nitrogen accumulation, monitoring model