2026-10-15T06:10:38Z https://www.scidb.cn/oai

10.57760/sciencedb.010ik 2026-08-28T10:27:52Z

2026-08-28 Random‑forest‑based bathymetric inversion code for shallow lakes on the Tibetan Plateau using Sentinel‑2 imagery doi:10.57760/sciencedb.010ik en Overview This software package contains only the core MATLAB prediction scripts for lake bathymetric inversion used in the manuscript Bathymetry Mapping of Shallow Lakes on the Tibetan Plateau Using Sentinel‑2 Imagery and Machine Learning. It implements the random‑forest‑based bathymetric inversion workflow, including multi‑scale spatial‑statistical‑feature extraction with the kernel‑median method, random‑forest regression prediction, smoothing via median and Frost filtering, and export of bathymetric rasters for plateau lakes. No remote‑sensing imagery, in‑situ sample datasets or other auxiliary geospatial files are distributed with this code package; users must prepare their own input data.Implementation environment All scripts are written in MATLAB, and all core computations are completed within the MATLAB platform. Spatial features; machine learning; random forest hu yong PUBLIC https://api.github.com/licenses/bsd-3-clause dataset Science Data Bank