A central challenge in microplastics (MP, diameter< 5 mm) research is the analysis of small
plastic particles in an efficient manner. This review focuses on the recent application of …

In deep learning-based hyperspectral remote sensing image classification tasks, random
sampling strategies are typically used to train model parameters for testing and evaluation …

Mid-infrared spectroscopy probes molecular vibrations to identify chemical species and
functional groups. Therefore, mid-infrared hyperspectral imaging is one of the most powerful …

With the development of deep learning, the use of convolutional neural networks (CNN) to
improve the land cover classification accuracy of hyperspectral remote sensing images …

The challenges associated with acquiring the clear images of objects in underwater
environment are difficult to overcome due to the absorptive and scattering nature of …

Abstract Thousands of Marine Protected Areas (MPAs) have been designated around the
globe to conserve benthic habitats, following the adoption of Convention on Biodiversity …

Coral reefs are the sub-aqueous calcium carbonate structures collected by the invertebrates
known as corals. The charm and beauty of coral reefs attract tourists, and they play a vital …

Advances in spaceborne hyperspectral (HS) remote sensing, cloud-computing, and
machine learning can help measure, model, map and monitor agricultural crops to address …

Marine animal forests are benthic communities dominated by sessile suspension feeders
(such as sponges, corals, and bivalves) able to generate three-dimensional (3D) …

Artificial reefs (ARs) are designed to mimic natural habitats and promote marine life. Their
effectiveness is however debatable and can depend on factors such as structural complexity …