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The Study of Winter Wheat Biomass Estimation Model Based on Hyperspectral Remote Sensing

文献类型： 外文期刊

作者： Teng, Xiaowei 1 ; Dong, Yansheng 1 ; Meng, Lumin 5 ;

作者机构： 1.Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

2.Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

3.Minist Agr, Key Lab Agriinformat, Beijing 100097, Peoples R China

4.Beijing Engn Res Ctr Agr Internet Things, Beijing 100097, Peoples R China

5.Xian Univ Sci & Technol, Coll Geomat, Xian 710054, Peoples R China

关键词： Winter wheat;Biomass;Hyperspectral remote sensing;TINDVI;LWCI

期刊名称：COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE IX, CCTA 2015, PT II

ISSN： 1868-4238

年卷期： 2016 年 479 卷

页码：

收录情况： SCI

摘要： Biomass plays an important role in crop growth and yield formation. The study of biomass has been expanded to remote sensing sphere, which provides more ways to the obtainment of crop biomass. To carry out the study of winter wheat biomass estimation model, the field experiments were conducted at Rougu test area and Wugong test area, Shanxi Province in the cropping season 2013-2014. The biomass estimation model was based on the Time-Integrated Value of NDVI (TINDVI) and Leaf Water Content Index (LWCI), which was used to predict the winter wheat biomass. And the model was validated with the ground measured biomass. The results showed that the determination coefficient (R-2) and root mean square error (RMSE) between the measured and the estimated biomass were 0.7949 and 2.689 t/ha, respectively. The estimated biomass was exactly similar to the field measured biomass, therefore this model had a good application prospect.

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