Spatial mapping of topsoil total nitrogen in mountainous and hilly areas of southern China using a continuous convolution neural network

•Deep learning models successfully transform image spectra into laboratory-measured spectra.•Models roughly estimate soil total nitrogen content using transformed spectra.•Residual correction by ordinary kriging interpolation improves the spectral inversion accuracy.•A continuous convolutional neural network model outperforms a multilayer perceptron model.