Herein, we review aspects of leading-edge research and innovation in materials science
that exploit big data and machine learning (ML), two computer science concepts that …

In the era of big data, the explosive growth of Earth observation data and the rapid
advancement in cloud computing technology make the global-oriented spatiotemporal data …

Efficient and accurate air quality predictions can contribute to public health protection and
policy decision making. Fine particulate matter (PM 2.5) is an important index for measuring …

As an extension of cloud computing, fog computing is considered to be relatively more
secure than cloud computing due to data being transiently maintained and analyzed on …

The rapid growth of remote sensing big data (RSBD) has attracted considerable attention
from both academia and industry. Despite the progress of computer technologies …

The Prairie Pothole Region (PPR) contains numerous depressional wetlands known as
potholes that provide habitats for waterfowl and other wetland-dependent species. Mapping …

Mass remote sensing data management and processing is currently one of the most
important topics. In this study, we introduce ScienceEarth, a cluster-based data processing …

Identifying a suitable configuration of devices, software and infrastructures in the context of
user requirements is fundamental to the success of delivering IoT applications. As possible …

The quality and accuracy of remote sensing instruments continue to increase, allowing
geoscientists to perform various quantitative retrieval applications to observe the …

With urbanization as a global phenomenon, there is a need for data and information about
these terrains. Urban remote sensing techniques provide critical physical input and …