Despite research on urban heat island (UHI) effect has increased exponentially over the last
few decades, a systematic review of factors contributing to UHI effect has scarcely been …

Aims Mapping vegetation through remotely sensed images involves various considerations,
processes and techniques. Increasing availability of remotely sensed images due to the …

The accurate and timely mapping of summer maize is vital for agricultural management and
food security. Time-series remotely sensed imagery provides a promising data resource for …

Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms
for Python, Fourth Edition, is focused on the development and implementation of statistically …

Artificial neural networks (ANNs) have become a popular tool in the analysis of remotely
sensed data. Although significant progress has been made in image classification based …

Coastal meadows worldwide are subjected to habitat degradation due to abandonment,
intensification and the impacts of global change. In order to protect and restore these …

Multi-sensor remote sensing data fusion technologies have been developed and widely
applied in recent years, providing a feasible and economical solution to increase the …

Automatic land cover classification from satellite images is an important topic in many
remote sensing applications. In this paper, we consider three different statistical approaches …

Green space in cities has been reducing rapidly due to the intensive urban expansion,
which contributes to surface temperature growth, leading to numerous challenges in …

Land cover change is one of the most important issues facing the landscape of the
Southeastern United States. Land use change impacts the natural environment, and it is …