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

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

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.

发文机构：College of Resources and Environment Key Laboratory of Agricultural Ecology and Environment College of Horticulture Science and Engineering National Engineering Research Center for Information Technology in Agriculture

关键词：GF-1NITROGENContentINVERSIONAPPLETREECANOPY

分类号： TP[自动化与计算机技术]