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 …

The present review retraces the steps of the industrial and agriculture revolution that have
taken place up to the present day, giving ideas and considerations for the future. This paper …

The remote sensing community has identified data fusion as one of the key challenging
topics of the 21st century. The subject of image fusion in two-dimensional (2D) space has …

Because of its wide potential applications, remote sensing (RS) image semantic
segmentation has attracted increasing research interest in recent years. Until now, deep …

Modelling urban systems has interested planners and modellers for decades. Different
models have been achieved relying on mathematics, cellular automation, complexity, and …

Unmanned Aerial Vehicles (UAVs) have emerged as a rapid, low-cost and flexible
acquisition system that appears feasible for application in cadastral map**: high …

The increasing volume of remote sensing data with improved spatial and temporal
resolutions generates unique opportunities for monitoring and map** of crops. We …

Speed and accuracy are important factors when dealing with time-constraint events for
disaster, risk, and crisis-management support. Object-based image analysis can be a time …

Abstract Land Use and Land Cover Change (LUCC) can reflect the pattern of human land
use in a region, and plays an important role in space soil and water conservation. The study …

The development of new sensors and easier access to remote sensing data are significantly
transforming both the theory and practice of remote sensing. Although data-driven …