- PublicationEvaluation of Pre-Trained CNN Models for Geographic Fake Image Detection(2022)Thanks to the remarkable advances in generative adversarial networks (GANs), it is becoming increasingly easy to generate/manipulate images. The existing works have mainly focused on deepfake in face images and videos. However, we are currently witnessing the emergence of fake satellite images, which can be misleading or even threatening to national security. Consequently, there is an urgent need to develop detection methods capable of distinguishing between real and fake satellite images. To advance the field, in this paper, we explore the suitability of several convolutional neural network (CNN) architectures for fake satellite image detection. Specifically, we benchmark four CNN models by conducting extensive experiments to evaluate their performance and robustness against various image distortions. This work allows the establishment of new baselines and may be useful for the development of CNN-based methods for fake satellite image detection.
- PublicationAssessing the Use of Oil and Gas Produced Water for Soil Aquifer Treatment in Abu Dhabi(2022)The United Arab Emirates originally lack for sufficient natural water resources. A major source of water in the UAE is groundwater, which includes water in surface wells that are normally renewed by seasonal rains, and deep wells which are refilled via ancient geological formations. The deficit in water availability due to the increasing demand and shortage in water resources availability can be met by utilizing non-conventional sources such as desalinated water, and recycling wastewater. This paper aims to present a scientific assessment of the possibility of using treated oil and gas-produced water for recharging the underground aquifer in Abu Dhabi through Soil aquifer treatment (SAT). Core samples from the unsaturated zone layers of sand, sandstone, siltstone, and conglomerates layers from the Abu Dhabi area were collected and characterized. Adsorption experiments have been carried out to investigate the capacity of the soil samples for the removal of hazardous contaminants i.e. heavy metals and dissolved organic from synthesized oil-produced water samples. The obtained data were used to calculate the required time for the hazardous contaminants to reach the underground water.
- PublicationPreliminary Tectonostratigraphy results from the Small Trocharis mountain, north-east Lefka Ori, Western Crete(2022)Preliminary tectonostratigraphy results from the Small Trocharis mountain, north-east Lefka Ori, western Crete. Highlight Here we describe our mapping results, for the updated stratigraphy of the Plattenkalk unit, and the tectonic contacts in Small Trocharis Mountain at northeast Lefka Ori of the island of Crete. The most prominent finding is that in the northeast , close to the peak of Ag Pneuma Melidoniou the thin bedded marble with silex (upper Jurassic-Eocene) is overlain by the upper Triassic to lower Jurassic white marble (Plattenkalk unit, both) and the contact between them appears as a primary conformable depositional contact. The previous shows a possible overturned structure. Background and Objective Nikolaidis et al. (2013) estimated the capacity of the karstic aquifer at 500x10 6 m 3 for the Koiliaris watershed and the associated extended karstified area outside the watershed. The extended karst area is delineated in the region of the two deepest caves (sinkholes) in Greece, the Liontari (1100 m deep) and the Gourgouthakas caves (1208 m deep). Our study covers the extended karstic watershed. The objective of this work, under the IGCP-715 project, is to update our existing understanding of the geological model in the area and as well as to provide detailed lithological and structural insights for the extended karst area.
- PublicationSearching for a Martian soil simulant in UAE & Al Hajar Mountains-First simulants CUOS and MUOS(2021)This study presents the first results for creating a Martian soil simulant from rocks in UAE and Al Hajar mountains including Sultanate of Oman. The Martian soil composition is now well known from rover missions and it is a regolith of oceanic crust composition (basaltic). The presence of the most extensive oceanic crust in parts Al Hajar mountains (Semail Ophiolites) is a triggering fact to search the possibility to create Martian soil simulants. Inhere we have collected 13 samples from volcanic basalts, gabbro harzburgite laterites and we assessed the mineral composition. We demonstrate the mixing process of the various rocks to create soil simulants. We have created two simulants, CUOS and MUOS following the compositions of Curiosity Mission measurements and MMS-1 soil simulant supplied by the Martian Garden company. The CUOS soil simulant showed moderate to good fitting in the mineralogy with the Curiosity Mission analysis in Rocknest Portage, while we were not able to attain similar mineralogical composition between MUOS and MMS-1 due to lower plagioclase content in our samples.