Inversion of Canopy Nitrogen Content in Apple Orchard Based on GF-1 Satellite Image

Dongsheng Gao; Guijun Yang; Jingling Xiong; Ruiyang Yu; Shujing Cao; uanmao Jiang; Xicun Zhu; Xueyuan Bai

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Inversion of Canopy Nitrogen Content in Apple Orchard Based on GF-1 Satellite Image

Inversion of Canopy Nitrogen Content in Apple Orchard Based on GF-1 Satellite Image

作者：

Dongsheng Gao Guijun Yang Jingling Xiong Ruiyang Yu Shujing Cao uanmao Jiang Xicun Zhu Xueyuan Bai

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GF-1

NITROGEN

Content

INVERSION

APPLE

TREE

CANOPY

摘要：

The apple orchard in Qixia City, Yantai City, Shandong Province was used as the research area. The nitrogen content inversion of apple canopy was studied by using the satellite remote sensing images of GF-1. On the basis of GF-1 satellite multispectral image preprocessing, vegetation index was extracted by band math. The nitrogen sensitive vegetation index of apple canopy was selected by correlation analysis of nitrogen content in apple canopy. The best inversion model for the nitrogen content of apple canopy was selected by establishing the regression model of univariate and multivariate factors. The nitrogen content of the canopy of apple orchard in the study area was inverted in space. The results showed that the 6 vegetation indices of RVI, NDVI, EVI, VARI, NPCI and NRI were better correlated with nitrogen content in the vegetation index based on GF-1 satellite multispectral imaging. The best inversion model of nitrogen content in apple canopy layer is the multivariate stepwise regression (MSR) model: Nc = 35.74– 41.978^*NPCI-10.78^*NDVI. The R^2 and RMSE of the model was 0.69 and 1.07. The spatial inversion of nitrogen content in apple orchard canopy was obtained. This study provided theoretical basis and technical support for large-area rapid monitoring of regional fruit tree nutrients.

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篇名	Inversion of Canopy Nitrogen Content in Apple Orchard Based on GF-1 Satellite Image
来源期刊	遥感科学:中英文版	学科	工学
关键词	GF-1 NITROGEN Content INVERSION APPLE TREE CANOPY
年，卷（期）	2019,（1）	所属期刊栏目
研究方向		页码范围	27-38
页数	12页	分类号	TP
字数		语种
DOI