Coordinator: Dr. Yaseen Ahmed Al-Mulla

Abstract:

Remote sensing and Geographical Information Systems plays an important role in gathering information about planet Earth. The development of satellites in the second half of the twentieth century allowed the field of remote sensing to advance on a global scale as well as the development of space programs. Artificial intelligence (AI) techniques have had significant recent successes in the fields of satellite remote sensing including signal and image processing, quality control mechanisms, pattern recognition, data fusion, forward and inverse problems, and prediction. Thus, modern AI in general and machine learning (ML) in particular can be positively disruptive and transformational change agents in the fields of satellite remote sensing by augmenting, and in some cases replacing, elements of the traditional remote sensing, assimilation, and modeling tools. The change is needed to meet the increasing challenges of Big Data, advanced models and applications, and user demands. Future developments, for example, SmallSats and the Internet of Things, will continue the explosion of new environmental data. ML can help to address the demands put on environmental products for
higher accuracy, for higher resolution—spatial, temporal, and vertical, for enhanced conventional medium-range forecasts, for outlooks and predictions on sub seasonal to seasonal time scales, and for improvements in the process of issuing advisories and warnings. The members expertise and specializations in research, related to advancing the analysis of satellite images, aerial photography from drones, remote sensing, maps and geographic information systems integrated with the Fourth Industrial Revolution including Internet of Things, machine learning, clouds, artificial intelligence, and big data, have led to form this research group. Hence, in pursuit to keep up with the scientific
requirements of the era; this research group is intended to cope with and add to the advancement technology of applying Artificial Intelligence in remote sensing via research breakthroughs to meet bespoke market research needs and result in leading this field on local and international levels.