基于NDVI与物候修正的大豆长势评价方法

发布时间：2018-03-15 18:09

本文选题：遥感　切入点：作物　出处：《农业工程学报》2017年02期 　论文类型：期刊论文

【摘要】：及时、准确的作物长势监测可以为宏观决策和农田生产提供作物生长信息,便于及时采取各种田间管理措施,达到科学管理和作物增产的目的。归一化植被指数(normalized difference vegetation index,NDVI)与植被的叶面积指数(leaf area index,LAI)和叶片叶绿素含量关系极为密切,可以用来评价作物的生长状况。为了降低主观因素及物候差异对大豆长势监测的影响,该研究以黑龙江红星农场主要农作物大豆为例,基于历史NDVI数据建立了该区域大豆长势评价的标准。利用NDVI时间序列拟合法提取大豆关键物候期,结合物候监测结果对大豆长势进行修正,最后利用41个地块的单产数据对长势评价结果进行了验证。物候修正前后长势与单产的一致性分别为58.5%、75.6%,容差为1个等级时分别为87.8%、95.1%,表明历史NDVI对大豆长势评价有一定参考意义,但简单同期对比不能完全反映大豆长势真实情况,物候修正可以进一步改善长势评价效果。研究可以为利用遥感进行大豆长势评价提供参考依据。
[Abstract]:Timely and accurate crop growth monitoring can provide crop growth information for macro decision-making and field production and facilitate timely adoption of various field management measures. The normalized difference vegetation index (NDVI) was closely related to the leaf area index (leaf area index) and the chlorophyll content of the leaves. In order to reduce the influence of subjective factors and phenological differences on soybean growth monitoring, the main crop soybean in Heilongjiang Hongxing Farm was taken as an example. Based on the historical NDVI data, the standard of soybean growth evaluation in this area was established. The key phenological period of soybean was extracted by NDVI time series fitting method, and the phylogenetic monitoring results were used to modify soybean growth. Finally, the results of growth evaluation were verified by the data of yield per unit of 41 plots. The consistency of growth and yield before and after phenological correction was 58.5% and 75.6, respectively, and 87.8% and 95.1 when tolerance was 1 grade, which indicated that historical NDVI had certain reference significance for soybean growth evaluation. But the simple synchronization contrast can not completely reflect the true situation of soybean growth, and phenological modification can further improve the evaluation effect of soybean growth. The study can provide a reference for soybean growth evaluation by remote sensing.
【作者单位】：中国科学院遥感与数字地球研究所数字地球重点实验室;
【基金】：中国科学院科技服务网络计划(STS)项目“精准农业技术体系研发及先进设备完善和升级”(KFJ-EW-STS-069) 863计划课题“典型应用领域全球定量遥感产品生产体系”(2013AA12A302)
【分类号】：S565.1;S127

【相似文献】