Jasem A Albanai

Remote sensing of aeolian dynamics

Jasem is a DPhil candidate researching machine learning and remotely sensed methods to understand aeolian processes and morphology in the Middle East and the State of Kuwait. He is part of the Landscape Dynamics Research cluster and a member of Hertford College.

Previous to Oxford, Jasem holds a BA and MSc degrees in physical geography and GIScience from Kuwait University with teaching experience. He also earned another MSc degree from the University of Trieste, in cooperation with the National Institute of Oceanography and Applied Geophysics (OGS) and the Abdus Salam - International Centre for Theoretical Physics (ICTP) in Italy, focusing on satellite ocean’s sustainability. Jasem has received ESRI Young Scholar Award at GIS Users conference in San Diego and Kuwait Encouragement Award, among others, for his contributions to geography.

His previous experience includes working for Kuwait Environmental Public Authority (KEPA) for more than 5 years, collecting and analysing environmental data, and being a peer-reviewer for Springer and Elsevier journals among others. He is passionate about improving his knowledge in remote sensing and spatial modelling applications in different sub-fields of geography, where he completed related courses at Harvard University and NASA.

Selected books

• Albanai, J.A. (2023) Remote sensing of Kuwait environment. 1st ed. Kuwait centre for research and studies. ISBN: 978-9921-750-61-4
• Albanai, J.A. (2021) Coastal Atlas of The State of Kuwait: Geomorphology from Space and Atmosphere. 1st ed. Kuwait Foundation for The Advancement of Science. ISBN: 978-9921-753-24-0
• Albanai, J.A. (2022) Climate change story. 1st ed. Natural Sciences Center. ISBN: 978-9921-781-02-1
• Albanai, J.A. (2019) The Science of Where: Introduction to GIS. 1st Ed. EsriKuwait. ISBN: 978-9921-0-0623-0
• Wegener. A. (1929) The origin of continents and oceans (Ahmad Ghali & Jasem Albanai, translators). Natural Sciences Center. (1st Arabic translation, 2020) ISBN: 978-9921-0-1407-5

Selected articles

• Albanai, J.A., Mahamat, A.A. and Abdelfatah, S.A. (2022) Geostatistical analysis of natural oil seepage using active radar imagery - a case study in Qaruh Island, the State of Kuwait. Arabian Journal of Geosciences, 15: 469.
• Albanai, J.A., Karam, Q., Ali, M. and Annabi-Trabelsi, N. (2022) Physicochemical Factors Affecting Chlorophyll-a Concentrations in the North-western Arabian Gulf and Kuwait Territorial Waters. Arabian Journal of Geosciences, 15: 1671.
• Albanai, J.A. (2023) Building a bridge between MODIS and VIIRS in measuring chlorophyII-a through linear regression: a case study in the Arabian Gulf. Arabian Journal of Geosciences, 16, 397.
• Pham, Q.B., et al. (2021) Current and future projections of flood risk dynamic under seasonal precipitation regimes in the hyrcanian forest region. Geocarto International.
• Albanai, J.A. (2020) Sea level rise projections for Failaka Island in The State of Kuwait. Transaction on Maritime Science, 9(2): 236 - 247.
• Albanai, J.A. (2021) Mapping Kuwait bathymetry using passive multispectral remote sensing. Kuwait Journal of Science, 48(4): 1-10.
• Albanai, J.A. and Abdelfatah, S.A. (2022) Accuracy assessment for Landsat 8 thermal bands in measuring sea surface temperature over Kuwait and North West Arabian Gulf. Kuwait Journal of Science, 49(1): 1-13.
• Albanai, J.A. (2022) Trend and dynamic of chlorophyII-a concentration over the Arabian Gulf: A long term study using MODIS data (2004-2016). Journal of Engineering Research, 10(1B): 103-115.
• Rendana, M., et al. (2023) Effects of the built-up index and land surface temperature on the mangrove area change along the southern Sumatra coast. Forest Science and Technology, E-ISSN 2158-0715.
• Rendana, M., et al. (2023) Current and future land fire risk mapping in the southern region of Sumatra, Indonesia, using CMIP6 data and GIS analysis. SN Applied Sciences, 5: 210.
• Arafin S.A.K., et al. (2023) Soil contamination and health risk assessment at coastal Upazilas of the Bangladesh: a case study. Environmental Pollutants and Bioavailability, 35(1, 2253996): 423-436.
• Costache, R., et al. (2023) Using fuzzy and machine learning iterative optimized models to generate the flood susceptibility maps: case study of Prahova River basin, Romania. Geomatics, Natural Hazards and Risk, 14(1): 2281241.