Air pollution has always been considered a major problem worldwide. The formation of air pollutants depends upon

A clear understanding of the spatial distribution of earthquake events facilitates the prediction of seismicity and vulnerability

This study was conducted to investigate the spatiotemporal changes of land use/land cover (LULC) along the eastern coast of the United Arab Emirates (UAE) over a 20-year period using an integration of remote sensing and Geographic Information Systems techniques. The impact of land use change on flooding potential was also investigated through hydrologic model simulations. […]

The Mohammed Bin Rashid Space Centre (MBRSC) is integral to the strategic initiative put in place by the Dubai government

The spatio-temporal changes in burnt area were identified using Landsat satellite data and modeling was used to predict the fire ignition and size distribution daily and yearly. Forest fire ignition models are effective ways to predict

The GIS center at Dubai municipality aims to provide a digital twin of Dubai, which is a digital replica

Monitoring coastal water quality is important and the sea surface temperature is one of the key parameters of water quality. It plays a significant role in studying climate change and oceanic environmental processes.

Earth observations are nowadays key tools for a better understanding of the climate and weather patterns in

Hyperspectral imaging (HSI) systems collect image data simultaneously in hundreds of narrow, adjacent spectral 

Remote sensing is defined as the science of acquiring of information from a distance. Remote sensors collect data

To provide an overview of key concepts encompassing the growing field of GAIAS including machine learning

Satellite imagery is a sphere with vast data perfect for machine and deep learning. With significant earth