“…Machine learning inversion models have been applied in several studies and were shown to be better than traditional statistical models (Lu et al, 2021; Zhou et al, 2020). Machine learning methods such as extreme gradient‐boosting (XGBoost) (Nguyen et al, 2021), extreme learning machine (ELM) (Guo et al, 2021), random forest (RF) (Tao et al, 2021), and CNN (Yang, Cai, et al, 2021; Yang, Lv, et al, 2021; Yang, Ma, et al, 2021; Yang, Yang, et al, 2021) show great potential in soil salinity monitoring. To improve the accuracy and reliability of the inversion model, the satellite‐UAV‐ground integrated method of monitoring soil salinity using machine learning models needs to be further explored.…”