Climate change and rapid urbanisation exacerbated multiple urban issues threatening
urban sustainability. Numerous studies integrated machine learning and remote sensing to …

In the last 10 years, development in robotics, computer vision, and sensor technology has
provided new spectral remote sensing tools to capture unprecedented ultra-high spatial and …

Covering 40% of the terrestrial surface, dryland ecosystems characteristically have distinct
vegetation structures that are strongly linked to their function. Existing survey approaches …

This study conducts an exploratory evaluation of the performance of the newly available
Sentinel-2A Multispectral Instrument (MSI) imagery for mapping water bodies using the …

Green space is increasingly recognized as an important component of the urban
environment. Adequate management and planning of urban green space is crucial to …

Image segmentation is an important stage for object recognition. Many methods have been
proposed in the last few years for grayscale and color images. In this paper, we present a …

In this study, we propose a novel methodology for automated detection of buildings from
single very-high-resolution (VHR) multispectral images. The methodology uses the principal …

In recent times, multi-spectral drone imagery has proved to be a useful tool for measuring
tree crop canopy structure. In this context, establishing the most appropriate flight planning …

Satellite images can provide valuable information about the presented urban landscape
scenes to remote sensing and telecommunication applications. Obtaining information from …

The specific requirements of UAV-photogrammetry necessitate particular solutions for
system development, which have mostly been ignored or not assessed adequately in recent …