Spatiotemporal forecasting (STF) extends traditional time series forecasting or spatial
interpolation problem to space and time dimensions. Here, we review the statistical, physical …

A major concern in the management of reservoirs is water quality because of the negative
consequences it has on both environment and human life. Artificial Intelligence (AI) concept …

Geochemical anomaly mapping is a crucial part of environmental and mineral exploration
projects. Stream sediments are the most frequently sampling medium for geochemical …

Soil heavy metal pollution can be a serious threat to human health and the environment. The
accurate mapping of the spatial distribution of soil heavy metal pollutant concentrations …

Remote sensing reflectance (Rrs) values measured by satellite sensors involve large
amounts of uncertainty leading to non-negligible noise in remote Chlorophyll-a (Chl-a) …

Network flow classification plays a very important role in various network applications and is
a fundamental task in network flow control. However, the innovations in the multi-source …

Improving the spatiotemporal coverage of remote sensing (RS) products, such as sea
surface chlorophyll concentration (SSCC), can offer a better understanding of the …

Exposure to wildfire smoke causes adverse health outcomes, suggesting the importance of
accurately estimating smoke concentrations. Geostatistical methods can combine observed …

With rapid economic development, industrialization and urbanization, the ambient air PM 2.5
has become a major pollutant linked to respiratory, heart and lung diseases. In China, PM …

Internet of Things (IoT) enables the seamless integration of sensors, actuators, and
communication devices for real-time applications. IoT systems require good quality sensor …