Land-use and land-cover change (LULCC) are of importance in natural resource
management, environmental modelling and assessment, and agricultural production …

Big Data and machine learning (ML) technologies have the potential to impact many facets
of environment and water management (EWM). Big Data are information assets …

Deep learning (DL) is a powerful state-of-the-art technique for image processing including
remote sensing (RS) images. This letter describes a multilevel DL architecture that targets …

Many applied problems arising in agricultural monitoring and food security require reliable
crop maps at national or global scale. Large scale crop mapping requires processing and …

The proliferation of inter-connected devices in critical industries, such as healthcare and
power grid, is changing the perception of what constitutes critical infrastructure. The rising …

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 …

Big data has attracted much attention from academia and industry. But the discussion of big
data is disparate, fragmented and distributed among different outlets. This paper conducts a …

Due to the limitation of technology and budget, it is often difficult for sensors of a single
remote sensing satellite to have both high-temporal and high-spatial (HTHS) resolution at …

This paper aims to demonstrate results and considerations regarding the use of remote
sensing big data for archaeological and Cultural Heritage management large scale …

An issue that continues to impact digital forensics is the increasing volume of data and the
growing number of devices. One proposed method to deal with the problem of “big digital …