EO & RS

A critical assessment showing that when high-quality forest inventory data exist, adding optical remote sensing brings only marginal gains in plot-scale AGB estimation accuracy.

A multimodal, multi-output framework that estimates complete sex and age structures on 100 m grid cells from census data, remote sensing imagery, and geotagged social media data.

Editorial to the Research Topic on machine learning for advanced remote sensing, connecting methodological advances with trustworthy, scalable, and societally valuable applications.

To introduce our published paper in sensing health city using multimodal data and GeoAI.

To introduce our studies in health geography.

To introduce our published paper in sensing health city using multimodal data and GeoAI.

To introduce the application of night light remote sensing data in urban studies.

To introduce how to explore the impact factors of uncertainties for urban carbon emissions.

This thesis explores the intricate connections between the envir- onment and obesity. It develops and applies advanced geospatial methods to enhance the assessment of obesogenic environments and obesity risks. Its primary objective is to evaluate …

To introduce my research interests and ongoing studies in health geography.