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Use of Landsat TM and EOS MODIS imaging technologies for estimation of winter wheat yield in the North China Plain

文献类型： 外文期刊

作者： Zhao, Chunjiang 2 ; Bao, Yansong 1 ; Cheng, Maosi 3 ; Huang, Wenjiang 2 ; Liu, Liangyun 4 ;

作者机构： 1.Nanjing Univ Informat Sci & Technol, Minist Educ, Key Lab Meteorol Disaster, Nanjing 210044, Jiangsu, Peoples R China

2.Natl Engn Res Ctr Informat Technol Agr, Beijing 100089, Peoples R China

3.Colorado State Univ, Nat Resource Ecol Lab, USDA, UV B Monitoring & Res Programme, Ft Collins, CO 80521 USA

4.Chinese Acad Sci, Ctr Earth Observat & Digital Earth, Beijing 100086, Peoples R China

期刊名称：INTERNATIONAL JOURNAL OF REMOTE SENSING （ 影响因子：3.151； 五年影响因子：3.266 ）

ISSN： 0143-1161

年卷期： 2012 年 33 卷 4 期

页码：

收录情况： SCI

摘要： This study focuses on the methodologies of winter wheat yield prediction based on Land Satellite Thematic Map (TM) and Earth Observation System Moderate Resolution Imaging Spectroradiometer (MODIS) imaging technologies in the North China Plain. Routine field measurements were initiated during the periods when the Landsat satellite passed over the study region. Five Landsat TM images were acquired. Wheat yields of the experimental sites were recorded after harvest. Spectral vegetation indices were calculated from TM and MODIS images. The correlation analysis among wheat yield and spectral parameters revealed that TM renormalized difference water index (RDWI) and MODIS near-infrared reflectance had the highest correlation with yield at grain-filling stages. The models from the best-fitting method were used to estimate wheat yield based on TM and MODIS data. The average relative error of the root mean square error (RMSE) of the predicted yield was smaller from TM than from MODIS.

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