Geospatial data of the building stock is essential in many domains pertaining to the built
environment. These datasets are often provided by governments, but crowdsourcing them …

Urban functional zone mapping is essential for providing deeper insights into urban
morphology and improving urban planning. The emergence of Volunteered Geographic …

Identifying urban building function plays a critical role in understanding the complexness of
urban construction and improving the effectiveness of urban planning. The emergence of …

Spatial patterns are essential for examining the sustainability derived from land systems.
Constructing spatial patterns for sustainable land development is now high on the global …

Road detection based on convolutional neural networks (CNNs) has achieved remarkable
performances for very high resolution (VHR) remote sensing images. However, this …

Optimization of cellular automata (CA) using swarm intelligence is an effective approach to
establish optimal models for urban growth modeling. This study builds a new CA model (CA …

Supervised learning techniques are at the center of many tasks in remote sensing.
Unfortunately, these methods, especially recent deep learning methods, often require large …

The emergence of new technological tools for territorial analysis, such as cloud-based GIS,
or GIS viewers, compels us to closely examine its usefulness in geographic education …

Urban functional zoning offers valuable insights into urban morphology and sustainable
development. However, the conventional fixed spatial units, such as blocks and grids …

High-intensity land use and resource overloaded-induced regional land use spatial pattern
(LUSP) are essential and challenging for high-quality development. The empirical studies …