Kai Ye

Research on the optimal modeling path for inversion of Pb content in rice leaves based on hyperspectral data of ground objects and machine learning and cross-scale remote sensing monitoring

This study developed multiple models for estimating Pb content in rice leaves, compared their performance, and identified stable modeling pathways for continuous regional monitoring using hyperspectral remote sensing data.

Source apportionment of heavy metals via PMF-space auto-correlation and source-oriented human health risk assessment: identification of priority control factors