Background: Often combined with other traditional and non-traditional types of data,
geospatial sensing data have a crucial role in public health studies. We conducted a …

Understanding public perceptions of urban parks is essential for their effective management.
While conventional survey methods are resource-intensive, Social Media Data (SMD) offers …

The past several years have witnessed the rapid development of the task of road extraction
in high-resolution remote sensing images. However, due to the complex background and …

Peri-urban landscapes grow more urbanised due to suburbanisation. This, in turn, makes
them environmentally and culturally susceptible to changes. Keen demand for residential …

Owing to their powerful feature extraction capabilities, deep learning-based methods have
achieved significant progress in hyperspectral remote sensing classification. However …