Synopsis of recent research by authors named "Liusheng Han"
- Liusheng Han's research primarily focuses on the application of remote sensing and machine learning techniques to monitor and analyze environmental phenomena, such as gross primary productivity in tropical forests and urban water quality.
- His recent work introduces a leaf age-dependent light use efficiency model that aims to improve understanding and simulation of gross primary productivity seasonality, as well as a monitoring method for black-odorous water using hyperspectral data.
- The studies also address crucial issues like mineral mapping accuracy and the impact of climate and land-cover changes on water yield, demonstrating a strong emphasis on developing innovative methodologies to enhance environmental assessments.
