/ Science

 


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


S.Buchholz, A.Paxian, B.Mannig, A.Hoff. Seasonal climate predictions for German cities to strengthen urban resilience to climate variability. Finnish Meteorological Institute. https://doi.org/10.35614/ISSN-2341-6408-IK-2022-06-RL


S.Oswald, M.Zuvela-Aloise, M.Avian, C.Schubert. Future climate projection of heat indices for Austrian major cities: Strengthening urban resilience and meeting user needs. Finnish Meteorological Institute. https://doi.org/10.35614/ISSN-2341-6408-IK-2022-08-RL


O.Hyvärinen, A.Vajda, M.Rantanen, A.Tack, M.Silvennoinen. Urban resilience to extreme weather - Sub-seasonal and seasonal forecasts for winter maintenance activities in Helsinki. Finnish Meteorological Institute. https://doi.org/10.35614/ISSN-2341-6408-IK-2022-04-RL


F.M. Rana, M.Adamo. Uncertainty Analysis in SAR Sea Surface Wind Speed Retrieval through C-Band Geophysical Model Functions Inversion. Remote Sensing, 14, 2022. https://doi.org/10.3390/rs14071685


O.Nanushi, V.Sitokonstantinou, I.Tsoumas, & C.Kontoes. Pest presence prediction using interpretable machine learning. IEEE (IVMSP 2022). Available preprint: https://doi.org/10.48550/arXiv.2205.07723  


S.Buchholz, A.Paxian, B.Mannig, A.Hoff. Seasonal climate predictions for German cities to strengthen urban resilience to climate variability. Finnish Meteorological Institute, 2022. https://doi.org/10.35614/ISSN-2341-6408-IK-2022-06-RL


O.Hyvärinen, A.Vajda, M.Rantanen, A.Tack, M. Silvennoinen. Urban resilience to extreme weather - Sub-seasonal and seasonal forecasts for winter maintenance activities in Helsinki. Finnish Meteorological Institute, 2022. https://doi.org/10.35614/ISSN-2341-6408-IK-2022-04-RL


A. Vajda, O. Hyvärinen, M. Rantanen, A. Tack, M. Silvennoinen. Seasonal preparedness pilot -Sub - seasonal and seasonal prediction service for tyre companies. Finnish Meteorological Institute. https://doi.org/10.35614/ISSN-2341-6408-IK-2022-02-RL


D.Custódio, K. A. Pfaffhuber, T. G. Spain, F. F. Pankratov, I. Strigunova, K. Molepo, H. Skov, J. Bieser, and R. Ebinghaus. Odds and ends of atmospheric mercury in Europe and over the North Atlantic Ocean: temporal trends of 25 years of measurements. Atmos. Chem. Phys., 22, 2022. https://acp.copernicus.org/articles/22/3827/2022/


I. Karagali, M. Badger and C. Hasager. Spaceborne Earth Observation for Offshore Wind Energy Applications. IEEE (IGARSS), July 2021. https://ieeexplore.ieee.org/document/9553100/figures#figures


K. Papachristopoulou, I. Fountoulakis, A. Gkikas, P. G. Kosmopoulos, P. T. Nastos, M. Hatzaki, S. Kazadzis. 15-Year Analysis of Direct Effects of Total and Dust Aerosols in Solar Radiation/Energy over the Mediterranean Basin. Remote Sensing, 14, 2022. https://doi.org/10.3390/rs14071535


S. Solomos, L. Dimitriadou, J. Kapsomenakis, I. Binietoglou, P. Nastos, C. Zerefos. Development of the weather and climate service “CRITERION” for the touristic sector in e-shape. FMI’s Climate Bulletin: Research Letters, 4, issue 1. https://doi.org/10.35614/ISSN-2341-6408-IK-2022-03-RL


I. Fountoulakis, K. Papachristopoulou, E. Proestakis, V. Amiridis, C. Kontoes, S. Kazadzis. Effect of Aerosol Vertical Distribution on the Modeling of Solar Radiation. Remote Sensing, 14, 2022. https://doi.org/10.3390/rs14051143


Neinavaz, M. Schlerf, R. Darvishzadeh, M. Gerhards, A.K. Skidmore. Thermal infrared remote sensing of vegetation: Current status and perspectives. International Journal of Applied Earth Observation and Geoinformation, Elsevier, Volume 102, October 2021. https://doi.org/10.1016/j.jag.2021.102415


C. Coops, A. Skidmore. Essential Biodiversity Variables (EBVs) and Earth Observation—An Invitation to Participate. SectorInsight.com, Photogrammetric Engineering & Remote Sensing, 87, November 2021. https://www.ingentaconnect.com/contentone/asprs/pers/2021/00000087/00000011/art00004?crawler=true&mimetype=application/pdf


I. Ialongo, H. Virta, H. Eskes, J.Hovila, J. Douros. Comparison of TROPOMI/Sentinel-5 Precursor NO2 observations with ground-based measurements in Helsinki. Atmospheric Measurement Techniques, 13, 2020. https://doi.org/10.5194/amt-13-205-2020


I. Ialongo, N. Stepanova, J. Hakkarainen, H. Virta, D. Gritsenko. Satellite-based estimates of nitrogen oxide and methane emissions from gas flaring and oil production activities in Sakha Republic, Russia. Atmospheric Environment: X, Volume 11, 100114, October 2021. https://doi.org/10.1016/j.aeaoa.2021.100114 


J. Hakkarainen, M. E. Szeląg, I. Ialongo, C. Retscher, Tomohiro Oda, D. Crisp. Analyzing nitrogen oxides to carbon dioxide emission ratios from space: A case study of Matimba Power Station in South Africa. Atmospheric Environment: X, Volume 10, 100110, April 2021. https://doi.org/10.1016/j.aeaoa.2021.100110, /pii/S2590162121000101


L. Melymuka, P.B.Nizzetto, T.Harner, K. B.White, X.Wang, M.Y.Tominaga, J. He, J.Li, J.Ma, W.L.Ma, B. H.Aristizábal, A.Dreyer, B.Jiménez, J.M.Arnanz, M. Odabasi, Y.Dumanoglu, B. Yaman, C.Graf,…J.Klánová. Global intercomparison of polyurethane foam passive air samplers evaluating sources of variability in SVOC measurements. Environmental Science & Policy, November 2021. https://www.sciencedirect.com/science/article/pii/S1462901121002161


V.Sitokonstantinou, A. Koukos, C. Kontoes, N. Bartsotas, V. Karathanassi. Semi-Supervised Phenology Estimation in Cotton Parcels with Sentinel-2 Time-Series. International Geoscience and Remote Sensing Symposium (IGARSS) conference. https://zenodo.org/record/6189937#.YhNVTt9By3B


D.Custodio, R. Ebinghaus, T.G. Spain, J.Bieser. Source apportionment of atmospheric mercury in the remote marine atmosphere: Mace Head GAW station, Irish western coast. Atmos. Chem. Phys., 20, July 2020. https://doi.org/10.5194/acp-20-7929-2020


F.De Simone, F.D’Amore, I. M.Hedgecock, D.E.Bruno, S.Cinnirella, F.Sprovieria, N.Pirrone, Will action taken under the Minamata Convention on Mercury need to be coordinated internationally? Evidence from an optimization study suggests it will. Environmental Science & Policy, Volume 127, January 2022. https://doi.org/10.1016/j.envsci.2021.10.006


Martin Jung et al., Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach. Biogeosciences, 17, 1343–1365, 2020. https://doi.org/10.5194/bg-17-1343-2020


G. Tramontana, M. Migliavacca, M. Jung, M. Reichstein, T. F. Keenan, G. Camps-Valls, J. Ogee, J. Verrelst and D. Papale, Partitioning net carbon dioxide fluxes into photosynthesis and respiration using neural networks. Global Change Biology, June 2020. https://doi.org/10.1111/gcb.15203


D. Papale, Ideas and perspectives: enhancing the impact of the FLUXNET network of eddy covariance sites. Biogeosciences, 17, 5587–5598, 2020. https://doi.org/10.5194/bg-17-5587-2020


Kuang-Yu Chang et al., Substantial hysteresis in emergent temperature sensitivity of global wetland CH4 emissions. Nature Communications, April 15;12, 2021:2266. https://www.nature.com/articles/s41467-021-22452-1


Kyle B. Delwiche et al., FLUXNET-CH4: a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands. ESSD, 13, 3607–3689, 2021. https://doi.org/10.5194/essd-13-3607-2021


T. Ranchin, L. Ménard, N. Fichaux, M. Reboul, e-shape – EuroGEO SHOWCASES: Application Powered by Europe Contribution to EuroGEO and to the Development of the EO Industry. IEEE (IGARSS), July 2021. https://hal-mines-paristech.archives-ouvertes.fr/hal-03335888


M.-F. Voidrot, Ingo Simonis, R. Barbier, P. Le Masson, N. Fichaux, T. Ranchin, Looking for Reproducibility for Earth Observation Applications at the Abstract Level. IEEE (IGARSS), July 2021. https://hal-mines-paristech.archives-ouvertes.fr/hal-03335895


P. Fazzini, G. De Felice Proia, M. Adamo, P. Blonda, F. Petracchini, L. Forte and Cristina Tarantino, Sentinel-2 Remote Sensed Image Classification with Patchwise Trained ConvNets for Grassland Habitat Discrimination. Remote Sensing 2021, 13, 2276. https://doi.org/10.3390/rs13122276


T. Carrière, R. A. e Silva, F. Zhuang, Y-M. Saint-Drenan and Philippe Blanc, A New Approach for Satellite-Based Probabilistic Solar Forecasting with Cloud Motion Vectors. Energies 2021, 14, 4951. https://doi.org/10.3390/en14164951


R. Barbier, P. Le Masson and B. Weil, Transforming Data into Added-value Information: The Design of Scientific Measurement Models Through the Lens of Design Theory. Cambridge University Press, 27 July 2021. https://doi.org/10.1017/pds.2021.585


R. Barbier, S. Ben Yahia, P. Le Masson, B. Weil, Expanding Usages of Earth Observation Data: A Co-Design Approach to Grow an Ecosystem of Efficient Service Designers. IEEE (IGARSS), July 2021. https://hal.archives-ouvertes.fr/hal-03356299


R. Floors, M. Badger, Ib Troen, K. Grogan and F.-H. Permien, Satellite-based estimation of roughness lengths and displacement heights for wind resource modelling. Wind Energ. Sci. Discuss. [preprint], in review, 2021. https://doi.org/10.5194/wes-2021-28


I.Fountoulakis, P. Kosmopoulos, K.Papachristopoulou, I.P. Raptis, R.E. Mamouri, A. Nisantzi, A. Gkikas, J. Witthuhn, S. Bley, A. Moustaka, J. Buehl, P. Seifert, D. G. Hadjimitsis, C.Kontoes and S. Kazadzis, Effects of Aerosols and Clouds on the Levels of Surface Solar Radiation and Solar Energy in Cyprus. Remote Sensing 2021, 13, 2319. https://www.mdpi.com/2072-4292/13/12/2319


P.G. Kosmopoulos, S. Kazadzis, A. W. Schmalwieser, P. I. Raptis, K.Papachristopoulou, I. Fountoulakis, A.Masoom, A. F. Bais, J. Bilbao, M. Blumthaler, A. Kreuter, A. Maria Siani, K. Eleftheratos, C.Topaloglou, J. Gröbner, B. Johnsen, T. M. Svendby, J.M. Vilaplana, L. Doppler, A. R. Webb, M. Khazova, H. De Backer, A.Heikkilä, K. Lakkala, J.Jaroslawski, C. Meleti, H.Diémoz, G. Hülsen, B. Klotz, J. Rimmer, and C. Kontoes, Real-time UV index retrieval in Europe using Earth observation-based techniques: system description and quality assessment. Atmospheric Measurement Techniques, August, 2021, 14, 5657. https://doi.org/10.5194/amt-14-5657-2021


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


F.De Simone, F.D’Amore, M.Bencardino, F.CarboneIan, M.Hedgecock, F.Sprovieri, S.Cinnirella, N.Pirrone, The GOS4M Knowledge Hub: a web-based effectiveness evaluation platform in support of the Minamata Convention on Mercury. Environmental Science and Policy, Elsevier, Volume 124, 2021. https://www.sciencedirect.com/science/article/pii/S1462901121001817?via%3Dihub


C. Richiardi, P. Blonda, F. M. Rana, M. Santoro, C. Tarantino, S. Vicario, M. Adamo, A Revised Snow Cover Algorithm to Improve Discrimination between Snow and Clouds: A Case Study in Gran Paradiso National Park. Remote Sensing 2021, 13, 1957. https://www.mdpi.com/2072-4292/13/10/1957


Alagialoglou, I. Manakos, M. Heurich, J.Červenka, A. Delopoulos, Canopy Height Estimation from Spaceborne Imagery Using Convolutional Encoder-Decoder, 21 January 2021, Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-67835-7_26#citeas


V. Tomaselli, G. Veronico, M. Adamo, Monitoring and Recording Changes in Natural Landscapes: A Case Study from Two Coastal Wetlands in SE Italy, Land, 2021, 10, 50. https://doi.org/10.3390/land10010050


C. Tarantino, L. Forte, P. Blonda, S. Vicario, V. Tomaselli, C. Beierkuhnlein, M. Adamo, Intra-Annual Sentinel-2 Time-Series Supporting Grassland Habitat Discrimination, Remote Sensing, Special Issue Remote Sensing for Habitat Mapping, 2021, 13, 277. https://doi.org/10.3390/rs13020277


M. Morganti, J. G. Cecere, S. Quilici, C. Tarantino, P. Blonda, M. Griggio, R. Ambrosini, and D. Rubolini, Assessing the relative importance of managed crops and semi-natural grasslands as foraging habitats for breeding lesser kestrels Falco naumanniin southeastern Italy, Wildlife Biology, 2021. https://doi.org/10.2981/wlb.00800


F.M. Rana, M. Adamo, Multi-Scale LG-Mod Analysis for a more Reliable SAR Sea Surface Wind Directions Retrieval, Remote Sensing 2021, 13, 410. https://doi.org/10.3390/rs13030410


A. Kampouri, V. Amiridis, S. Solomos, A. Gialitaki, E. Marinou, C. Spyrou, A. K. Georgoulias, D. Akritidis, N. Papagiannopoulos, L. Mona, S. Scollo, M. Tsichla, I. Tsikoudi, I. Pytharoulis, T. Karacostas, P. Zanis, Investigation of Volcanic Emissions in the Mediterranean: “The Etna–Antikythera Connection”, Atmosphere 2021, 12, 40. https://www.mdpi.com/2073-4433/12/1/40


P. Kosmopoulos, D. Kouroutsidis, K. Papachristopoulou, P. Ioannis Raptis, A. Masoom , Yves-Marie Saint-Drenan, P. Blanc, C. Kontoes, S. Kazadzis, Short-Term Forecasting of Large-Scale Clouds Impact on Downwelling Surface Solar Irradiation, Energies 2020, 13, 6555. https://www.mdpi.com/1996-1073/13/24/6555


S. Scollo, A. Boselli, S.Corradini, G. Leto, L. Guerrieri, L. Merucci, M. Prestifilippo, R. Zanmar Sanchez, A. Sannino, D. Stelitano, Multi-Sensor Analysis of a Weak and Long-Lasting Volcanic Plume Emission, Remote Sensing 2020, 12, 3866. https://www.mdpi.com/2072-4292/12/23/3866


N. Papagiannopoulos, G. D'Amico, A. Gialitaki, N.Ajtai, L. Alados-Arboledas, A. Amodeo, V. Amiridis, H. Baars, D. Balis, I. Binietoglou, A. Comerón, D. Dionisi, A. Falconieri, P.Fréville, A. Kampouri, I. Mattis, Z. Mijić, F.Molero, A. Papayannis, G. Pappalardo, A. Rodríguez-Gómez, S. Solomos, L. Mona, An EARLINET early warning system for atmospheric aerosol aviation hazards, Atmos. Chem. Phys., 20, 10775–10789, 2020. https://acp.copernicus.org/articles/20/10775/2020/acp-20-10775-2020.html


I. Baneschi, A. Dere, E. Aronson, R. Balint, S. Billings, S. Giamberini, M. Magnani, P. Mosca, M. Pennisi, A. Provenzale, B. Raco, P. L. Sullivan, T. White, The Nivolet CZ Ecosystem Observatory reveals rapid soil development in recently deglaciated alpine environments: Biotic weathering is the likely culprit. https://meetingorganizer.copernicus.org/EGU2020/EGU2020-16387.html


M. Magnani, I. Baneschi, M. Giamberini, B. Raco, P. Mosca, A. Provenzale, Drivers of carbon fluxes in high‐altitude Alpine Critical Zone: a data-based model, EGU General Assembly 2020. https://meetingorganizer.copernicus.org/EGU2020/EGU2020-3919.html


S.Corradini, L.Guerrieri, D.Stelitano, G.Salerno, S.Scollo, L.Merucci, M.Prestifilippo, M.Musacchio, M.Silvestri, V.Lombardo, T.Caltabiano, Near Real-Time Monitoring of the Christmas 2018 Etna Eruption Using SEVIRI and Products Validation.Remote Sensing, 2020, 12, 1336. https://www.mdpi.com/2072-4292/12/8/1336


F. De Simone, F.D’Amore, F. Marasco, F. Carbone, M. Bencardino, I.M. Hedgecock, S. Cinnirella, F. Sprovieri, N. Pirrone,  A Chemical Transport Model Emulator for the Interactive Evaluation of Mercury Emission Reduction Scenarios. Atmosphere 2020, 11, 878. https://www.mdpi.com/2073-4433/11/8/878


A.Masoom, P. Kosmopoulos, Y. Kashyap, S. Kumar, A. Bansal, Rooftop Photovoltaic Energy Production Management in India Using Earth-Observation Data and Modeling Techniques. Remote Sensing 2020, 12, 1921. https://www.mdpi.com/2072-4292/12/12/1921


N. Tziolas, N.Tsakiridis, Y.Ogen, E.Kalopesa, E. Ben-Dor, J.Theocharis, G.Zalidis, An integrated methodology using open soil spectral libraries and Earth Observation data for soil organic carbon estimations in support of soil-related SDGs. Elsevier, 29 April 2020, 111793. https://www.sciencedirect.com/science/article/pii/S0034425720301632


N.Tziolas, N.Tsakiridis, E. Ben-Dor, J.Theocharis, G.Zalidis, Employing a Multi-Input Deep Convolutional Neural Network to Derive Soil Clay Content from a Synergy of Multi-Temporal Optical and Radar Imagery Data. Remote Sensing, 2020, 12, 1389. https://www.mdpi.com/2072-4292/12/9/1389


M. Adamo, V.Tomaselli, C.Tarantino, S.Vicario, G.Veronico, R.Lucas, P.Blonda (2020). Knowledge-Based Classification of Grassland Ecosystem Based on Multi-Temporal WorldView-2 Data and FAO-LCCS Taxonomy. Remote Sensing, 2020,12,1447. https://e-shape.eu/images/news-events/remotesensing-12-01447.pdf


J.L.Musuuza, D.Gustafsson, R.Pimentel, L Crochemore, I. Pechlivanidis. Impact of Satellite and in Situ Data Assimilation on Hydrological Predictions. Remote Sensing, 2020, 12, 811. https://e-shape.eu/images/remotesensing-12-00811-v2.pdf


A. Masoom, P. Kosmopoulos, A. Bansal, S. Kazadzis, Solar Energy Estimations in India Using Remote Sensing Technologies and Validation with Sun Photometers in Urban Areas. Remote Sensing, 2020,12, 254. https://www.mdpi.com/2072-4292/12/2/254