Accurate stock market prediction is of great interest to investors; however, stock markets are
driven by volatile factors such as microblogs and news that make it hard to predict stock …

Some invasive tree species threaten biodiversity and cause irreversible damage to global
ecosystems. The key to controlling and monitoring the propagation of invasive tree species …

Advances in remote sensing (RS) technology in recent years have increased the interest in
including RS data into one-class classifiers (OCCs). However, this integration is complex …

Conservation areas are facing increasing threats from anthropogenic land use activities. It is
important to reasonably recognize and predict suspected illegal land development in …

Mineralization is a rare event. Hence, the geosciences datasets used for three-dimensional
(3D) mineral potential mapping (MPM) are often imbalanced, consisting of scarce positive …

Reliable classification of satellite images is essential for various applications, including land
cover and crop (LCC) mapping. In recent years, ensemble classifiers have shown …

Spartina alterniflora (S. alterniflora) is one of the worst plant invaders in the coastal wetlands
of China. Accurate and repeatable mapping of S. alterniflora invasion is essential to develop …

Recently, classification using multiple classifier system (MCS) has been reported as an
effective method to improve remote sensing (RS) image classification. Such systems provide …

In this article, a novel approach for land cover change detection (LCCD) using very high
resolution (VHR) remote sensing images based on spatial–spectral feature fusion and multi …

Plant species diversity (PSD) has always been an essential component of biodiversity and
plays an important role in ecosystem functions and services. However, it is still a huge …