Prediction of total nitrogen and alkali hydrolysable nitrogen content in loess using hyperspectral data based on correlation analysis and partial least squares regression.
LIU Xiu-ying1,2, WANG Li1, CHANG Qing-rui1, WANG Xiao-xing1, SHANG Yan1
(1College of Resources and Environment, Northwest A&F University, Yangling 712100, Shaanxi, China; 2College of Agronomy, Henan University of Science and Technology, Luoyang 471003, Henan, China)
LIU Xiu-ying1,2, WANG Li1, CHANG Qing-rui1, WANG Xiao-xing1, SHANG Yan1. Prediction of total nitrogen and alkali hydrolysable nitrogen content in loess using hyperspectral data based on correlation analysis and partial least squares regression.[J]. Chinese Journal of Applied Ecology.