Tree species classification is important for the management and sustainable development of
forest resources. Traditional object-oriented tree species classification methods, such as …

Texture-based informal settlement (IS) mapping has gained attention in urban remote
sensing (RS) research. Numerous studies conducted on the use of texture analysis for IS …

Accurate and reliable informal settlement maps are fundamental decision-making tools for
planning, and for expediting informed management of cities. However, extraction of spatial …

Urban planning within Riyadh, the capital of Saudi Arabia, has been impacted by the
presence of informal settlements. An understanding of the spatial distribution of these …

Rapid urbanization in developing countries often results in uncontrolled urban growth. In
order to support sustainable urban development, reliable and up-to-date information on …

In recent decades, the City of Stockholm, Sweden, has grown substantially and is now the
largest city in Scandinavia. Recent urban growth is placing pressure on green areas within …

The classification of informal settlements using very high-resolution (VHR) satellite data and
expert knowledge has proven very useful for urban planning. The objective of this work was …

Mapping informal settlements' diverse morphological patterns remains intricate due to the
unavailability and huge costs of high-resolution data, as well as the spatial heterogeneity of …

The development of UAV sensors has made it possible to obtain a diverse array of spectral
images in a single flight. In this study, high-resolution UAV-derived images of urban areas …

Urban trees and grass have different ecological functions and services. Remote sensing
provides a feasible way of quantifying urban vegetative cover and distribution at large scale …