Over recent decades, 3D point clouds have been a popular data source applied in automatic
change detection in a wide variety of applications. Compared with 2D images, using 3D …

Change Detection (CD) provides a research basis for environmental monitoring, urban
expansion and reconstruction as well as disaster assessment, by identifying the changes of …

Characterising and analysing urban morphology is a continuous task in urban data science,
environmental analyses, and many other domains. As the availability and quality of data on …

Land cover change detection (CD) in very-high-resolution (VHR) images is still impeded by
weak pattern separability and land cover complexity. To address these challenges, a self …

Small area change detection using synthetic aperture radar (SAR) imagery is a highly
challenging task, due to speckle noise and imbalance between classes (changed and …

Urban land surface temperature (ULST) is a key surface feature parameter in urban heat
island studies. However, the geometry and adjacency effects are usually neglected in …

Abstract Three-dimensional (3D) building structures are vital to understanding urban
dynamics. Monocular remote sensing imagery is a cost-effective data source for large-scale …

Building height serves as an essential feature of urban morphology that provides valuable
insights into human socio-cultural behaviors and their impact on the environment in an …

Buildings are an important component of urban form and have complex relationships with
land surface temperature (LST). However, the limited availability of high-spatial-resolution …

As cities continue to grow globally, characterizing the built environment is essential to
understanding human populations, projecting energy usage, monitoring urban heat island …