Can we estimate the lake mean depth and volume from the deepest record and auxiliary geospatial parameters?

•An efficient method for estimating lake mean depth and volume based on the lake’s deepest record and auxiliary geospatial parameters.•The accuracy and robustness of different modeling methods are evaluated and compared.•Machine learning methods have great potential in predicting the lake volume in remote and data-scarce areas.