thereby contributing to the enhancement of the quality of data. The amount of high-resolution data is significantly

In this session, InfraLytiks will present some very interesting capabilities and case studies for automation and Artificial Intelligence

Remote sensing technology has undeniable importance in various industrial applications. Some of which include

Soil salinity, whether natural or human induced, is a major geo-hazard in arid and semi-arid landscapes. In agricultural

The construction of the Grand Ethiopian Renaissance Dam (GERD) will have positive and negative impacts on the

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.