Inversion model of soil total nitrogen content based on ridge regression
XU Yi1, SHAO Guangcheng1*, DING Mingming2, ZHANG Erzi3, HE Jing4
1. College of Agricultural Science and Engineering, Hohai University, Nanjing, Jiangsu 210098, China; 2. Nanjing Water Authority, Nanjing, Jiangsu 210036, China; 3. Jiangning Chunhua Street Water Authority, Nanjing, Jiangsu 211122, China; 4. Nanjing Water Conservancy and Construction Engineering Testing Center, Nanjing, Jiangsu 210036, China
Abstract：Soil total nitrogen content is one of the core indexes of soil fertility. It is important for agricultural production to rapidly and accurately determine the soil total nitrogen content. A typical rice farmland in Jiangning District, Nanjing was taken as the research object. The checkerboard method was used to select 60 points, and each point was sampled in the 0-30 cm topsoil layer. The spectral reflectance of soil samples in the bands of 450, 560, 650, 730 and 840 nm was obtained by using DJI Phantom 4 Multispectral at the same time. Through the multivariate linear analysis of soil total nitrogen content and spectral reflectance, the unique multicollinearity problem characteristic of the spectral reflectance data was revealed. A prediction model for soil total nitrogen content retrieved from UAV remote sensing images based on ridge regression was constructed. The calculation results showed that when the ridge regression coefficient reached 0.12, the linear regression determination coefficient(R2)was 0.408, and the variance inflation factors were under 10, and the regression coefficients are significantly different. The inversion model based on ridge regression can give good consideration to both inversion accuracy and spectral data multicollinearity of spectral data. The research results can provide a theoretical basis for UAV remote sensing diagnosis of soil nitrogen nutrition.
徐艺,邵光成*,丁鸣鸣,章二子,何菁. 基于岭回归的土壤全氮含量反演模型[J]. 排灌机械工程学报, 2022, 40(11): 1159-1166.
XU Yi,SHAO Guangcheng*,DING Mingming,ZHANG Erzi,HE Jing. Inversion model of soil total nitrogen content based on ridge regression. Journal of Drainage and Irrigation Machinery Engin, 2022, 40(11): 1159-1166.
