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中国农学通报 ›› 2015, Vol. 31 ›› Issue (15): 254-259.doi: 10.11924/j.issn.1000-6850.casb14110128

所属专题: 玉米

• 农业科技信息 • 上一篇    下一篇

基于植被指数的夏玉米不同生育期叶绿素含量遥感估算

袁 媛,瑚 波,武兴厚,赵 婷,常庆瑞   

  1. 陕西省商洛市丹凤县气象局;西北农林科技大学资源环境学院,陕西省商洛市丹凤县气象局,陕西省商洛市丹凤县气象局,陕西省商洛市丹凤县气象局,西北农林科技大学资源环境学院
  • 收稿日期:2014-11-20 修回日期:2015-05-10 接受日期:2015-01-28 出版日期:2015-06-02 发布日期:2015-06-02
  • 通讯作者: 常庆瑞
  • 基金资助:
    “十二五”国家科技支撑计划资助项目(2012BAH29B04);高等学校博士学科点专项科研基金资助项目(S20120204110013)

Remote Sensing Estimation of Chlorophyll Content in Different Growth Periods of Summer Corn Based on Vegetation Index

  • Received:2014-11-20 Revised:2015-05-10 Accepted:2015-01-28 Online:2015-06-02 Published:2015-06-02

摘要: 叶绿素含量是间接判断玉米营养状况的重要农学参数,估算叶绿素含量对农作物长势监测有重要意义。笔者利用ASD便携式地物光谱仪和SPAD-502叶绿素仪实测了夏玉米关键生育期冠层光谱反射率及叶片叶绿素相对含量,对3种植被指数与叶绿素相对含量进行了相关性分析,建立了基于归一化植被指数(NDVI)、比值植被指数(RVI)和差值植被指数(DVI)的叶绿素估算模型,并进行精度检验,从中选出最佳拟合模型。研究结果表明:拔节期RVI、抽穗期和灌浆期NDVI以及蜡熟期DVI的均方根差(RMSE)和相对误差(RE)均最低,RMSE分别为5.688、5.323、2.751、4.111,RE分别为9.84%、8.56%、3.75%、7.15%,故为各个时期的最佳模型。因此得到了NDVI、RVI和DVI3种植被指数在不同生育期的最佳模型,对指导夏玉米种植与田间管理具有重要的指导意义。

关键词: 密度, 密度, 氮肥运筹, 穗型, 水稻, 光合特性, 叶绿素荧光参数

Abstract: Chlorophyll content is an important indirect agronomic parameter judging corn nutrition status, which has significant meaning for crop growth monitoring. The author measured the canopy spectral reflectance and chlorophyll relative content of summer corn in key growth period by using ASD portable spectrometer and SPAD-502 chlorophyll meter. Correlation analysis of the 3 vegetation indexes and chlorophyll relative content were also conducted. The author established an estimation model based on the normalized difference vegetation index (NDVI), the ratio of vegetation index (RVI) and difference vegetation index (DVI) of chlorophyll and selected a best fitting model from accuracy test. The results showed that the RMSE and RE of jointing stage RVI, heading stage and filling stage NDVI and dough stage DVI were the lowest. The RMSE were 5.688, 5.323, 2.751 and 4.111, respectively, and RE were 9.84%, 8.56%, 3.75% and 7.15%, respectively, so they were the best models of each period. Therefore, the optimal models of the 3 vegetation indexes (NDVI, RVI and DVI) were achieved in different growth stages. It has guiding significance for the cultivation of summer corn and field management.