WHEAT YIELD ESTIMATION IN RUSSIA WITH MODIS TIME-SERIES DATA BASED ON LIGHT USE EFFICIENCY MODEL

被引：0

作者：

Du, Xin ^{[1
]}

Meng, Jihua ^{[1
]}

Savin, Igor ^{[2
]}

Li, Qiangzi ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China

[2] Austrian Acad Sci, Space Res Inst, Moscow, Russia

来源：

2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2013年

基金：

中国国家自然科学基金;

关键词：

wheat; yield; biomass; Russia; NITROGEN;

D O I：

10.1109/IGARSS.2013.6723418

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Wheat yield estimation in this paper is based on the above ground biomass estimation. The model of above ground biomass estimation requires satellite data, which express the vegetation status. The model was applied in Russia where winter wheat is widely grown. The results showed a high accuracy in estimating winter wheat yield. The range of fractional differences between estimated and observed yields is between -0.40 and 0.50 in 2011, and 83% of the fractional differences are between -0.30 and 0.30. When this method is used in large areas, parameters calibration is crucial. We also summarize that in future study, high resolution images, meteorological factors retrieved by remote sensing data and more field observed data should be used to improve the method.

引用

页码：2848 / 2851

页数：4

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