Dataset and Models for: Physics-based Look-up Tables Outperform Machine Learning in SPM Retrieval of Arid Inland Hypersaline Waters: Case Study of Ebinur Lake

414072_chla_acdom_spm_bs_bbp_15rrs.parquet: A comprehensive Look-Up Table (LUT) dataset simulated via HydroLight 5.0, containing paired Inherent Optical Properties (IOPs) and corresponding Remote Sensing Reflectance across 15 Sentinel-3 OLCI bands.

LUT_Inversion.zip: Spatial distribution maps and data of SPM retrieved by the proposed physics-constrained MCWA algorithm.

ML_Inversion.zip:Trained machine learning models (Random Forest and Multilayer Perceptron) and their corresponding spatial retrieval results of SPM, provided for comparative benchmarking against the MCWA algorithm.