Jonoski, A., Ali, M. H., Bertini, C., Popescu, I., and van Andel, S. J.: Web application for supporting assessment of climate change adaptation strategies in Aa of Weerijs catchment, the Netherlands, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-2599, https://doi.org/10.5194/egusphere-egu24-2599


Ali, M. H., Hrachowitz, M., Popescu, I., and Jonoski, A.: Signatures-based appraisal of global rainfall datasets to capture hydrological trends in a meso-scale catchment, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-8064, https://doi.org/10.5194/egusphere-egu24-8064


Menberu, M., Jakkila, J., Veijalainen, N., Böttcher, K., Fronzek, S., Kolhinen, V., Havu, P., Fazel, N., Kumpumäki, M., Koistinen, A., and Huttunen, M.: Introducing WSFS-P, Process-based Version of the Watershed Simulation and Forecasting System (WSFS) in Finland, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-15445, https://doi.org/10.5194/egusphere-egu24-15445


S. El Garroussi, F. Di Giuseppe, C. Barnard, F. Wetterhall. Europe faces up to tenfold increase in extreme fires in a warming climate. npj Climate Atmospheric Science 2024, 7, 30. https://doi.org/10.1038/s41612-024-00575-8


M. Dekavalla, D. Bliziotis, V. Tsiakos, G. Tsimiklis, A. Amditis. Enhancing the spatial resolution of Sentinel 3 synergy though the super-resolution via repeated refinement method. Big Data from Space (BiDS’23), 2023 (page 261). doi:10.2760/46796


N. Samarinas, N. L. Tsakiridis, S. Kokkas, E. Kalopesa, G. C. Zalidis. Soil Data Cube and Artificial Intelligence Techniques for Generating National-Scale Topsoil Thematic Maps: A Case Study in Lithuanian Croplands. Remote Sensing 2023, 15, 5304. https://doi.org/10.3390/rs15225304


A. Kumar, P. Kosmopoulos, Y. Kashyap, R. Gautam. Rooftop Photovoltaic Energy Production Estimations in India Using Remotely Sensed Data and Methods. Remote Sensing 2023, 15, 3051. https://doi.org/10.3390/rs15123051


Y. Kospinis, Z. Flokas, P. Mitropoulos, C. Petrou, T. Siozos, G. Siokas. NLP-based Cognitive Search Engine for the GEOSS Platform data. EGU General Assembly 2023. https://doi.org/10.5194/egusphere-egu23-16662


F. Di Giuseppe. Accounting for fuel in fire danger forecasts: the fire occurrence
probability index (FOPI). Environmental Research Letters 2023, 18, 6. https://doi.org/10.1088/1748-9326/acd2ee


H. Dhake, Y. Kashyap, P. Kosmopoulos. Algorithms for Hyperparameter Tuning of LSTMs for Time Series Forecasting. Remote Sensing 2023, 15, 2076. https://doi.org/10.3390/rs15082076


M. H. Ali, I. Popescu, A. Jonoski, D. P. Solomatine. Remote Sensed and/or Global Datasets for Distributed Hydrological Modelling: A Review. Remote Sensing 2023, 15, 1642. https://doi.org/10.3390/rs15061642


U. Pruthviraj, Y. Kashyap, E. Baxevanaki, P. Kosmopoulos. Solar Photovoltaic Hotspot Inspection Using Unmanned Aerial Vehicle Thermal Images at a Solar Field in South India. Remote Sensing, 2023, 15, 1914. https://doi.org/10.3390/rs15071914


J. Maso, A. Brobia, MF. Voidrot, A. Zabala, I. Serral I. G-reqs, a New Model Proposal for Capturing and Managing In Situ Data Requirements: First Results in the Context of the Group on Earth Observations. Remote Sensing, 2023, 15, 1589. https://doi.org/10.3390/rs15061589.


V. P. Sidharthan, Y. Kashyap, P. Kosmopoulos. Adaptive-Energy-Sharing-Based Energy Management Strategy of Hybrid Sources in Electric Vehicles. Energies, 16, 2023. https://doi.org/10.3390/en16031214


P. G. Kosmopoulos, M. T. Mechilis, P. Kaoura. Solar Energy Production Planning in Antikythera: Adequacy Scenarios and the Effect of the Atmospheric Parameters. Energies, 15, 2022. https://doi.org/10.3390/en15249406


C. I. Valero, E. I. Pla, R. Vaño, E. Garro, F. Boronat, C. E. Palau. Design and Development of an AIoT Architecture for Introducing a Vessel ETA Cognitive Service in a Legacy Port Management Solution. Sensors, 21, 8133, 2021. https://doi.org/10.3390/s21238133


S. Fronzek, Y. Honda, A. Ito, J.P. Nunes, N. Pirttioja, J. Räisänen, K. Takahashi, E. Terämä, M. Yoshikawa, T.R. Carter. Estimating impact likelihoods from probabilistic projections of climate and socio-economic change using impact response surfaces. Climate Risk Management 38, 100466. https://doi.org/10.1016/j.crm.2022.100466


G. Giannarakis, V. Sitokonstantinou, R. S. Lorilla, C. Kontoes. Towards assessing agricultural land suitability with causal machine learning. CVF. https://openaccess.thecvf.com/content/CVPR2022W/EarthVision/papers/Giannarakis_Towards_Assessing_Agricultural_Land_Suitability_With_Causal_Machine_Learning_CVPRW_2022_paper.pdf


Ι.P. Raptis, A. Moustaka, P. Kosmopoulos, S. Kazadzis. Selecting Surface Inclination for Maximum Solar Power. Energies 2022, 15, 4784. https://doi.org/10.3390/en15134784


M. H. Ali, I. Popescu, A. Jonoski, and D. Solomatine. Review of scientific literature on the use of globally available remote sensed data products for distributed hydrological modelling. EGU22-10200. https://doi.org/10.5194/egusphere-egu22-10200


R. Hage, A. Lansu, B. Bogatinoska, J. de Kraker. Co-designing user stories for geodata applications to support climate action in 5 GEO Societal Benefit Areas. EGU22-8444. https://doi.org/10.5194/egusphere-egu22-8444


U. C. Dumka, P. G. Kosmopoulos, P. N. Patel, Rahul Sheoran. Can Forest Fires Be an Important Factor in the Reduction in Solar Power Production in India? Remote Sensing 2022, 14, 549; https://doi.org/10.3390/rs14030549, https://www.mdpi.com/2072-4292/14/3/549


U. C. Dumka, P. G. Kosmopoulos, S. S. Ningombam, A. Masoom. Impact of Aerosol and Cloud on the Solar Energy Potential over the Central Gangetic Himalayan Region. Remote Sensing 2021, 13, 3248; https://doi.org/10.3390/rs13163248, https://www.mdpi.com/2072-4292/13/16/3248