FOCUSREFERENCESAntoniou, V., & Potsiou, C. (2020). A Deep LearningMethod to Accelerate the Disaster Response Process.Remote Sensing, 12(3), 544.Euroconsult, 2019. Smallsat Market to Nearly Quadrupleover Next Decade. Available at http://www.euroconsult-ec.com/5_August_2019European Commission, 2018. Coordinated Plan on ArtificialIntelligence. Available at https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=COM:2018:795:FINGilmer, J.; Adams, R.P.; Goodfellow, I.; Andersen,D.; Dahl, G.E. Motivating the Rules of the Gamefor Adversarial Example Research. arXiv 2018, ar-Xiv:1807.06732.Hendrycks, D., Zhao, K., Basart, S., Steinhardt, J., &Song, D. 2019. Natural adversarial examples. arXivpreprint arXiv:1907.07174.Huang, W., Xiao, L., Wei, Z., Liu, H., & Tang, S.,2015. A new pan-sharpening method with deep neuralnetworks. IEEE Geoscience and Remote Sensing Letters,12(5), 1037-1041.Huang, Z., Zhang, Y., Li, Q., Li, Z., Zhang, T., Sang,N., & Xiong, S., 2019. Unidirectional variationand deep CNN denoiser priors for simultaneouslydestriping and denoising optical remote sensing images.International Journal of Remote Sensing, 40(15),5737-5748.Kamilaris, A., & Prenafeta-Boldú, F. X. (2018). Deeplearning in agriculture: A survey. Computers and electronicsin agriculture, 147, 70-90.Liakos, K. G., Busato, P., Moshou, D., Pearson, S., &Bochtis, D. (2018). Machine learning in agriculture: Areview. Sensors, 18(8), 2674.Wegner, J.D., Roscher, R., Volpi, M. and Veronesi,F., 2018. Foreword to the Special Issue on MachineLearning for Geospatial Data Analysis.Yang, J., Fu, X., Hu, Y., Huang, Y., Ding, X., & Paisley,J., 2017. PanNet: A deep network architecture for pansharpening.In Proceedings of the IEEE InternationalConference on Computer Vision (pp. 5449-5457).KEYWORDSEarth observation; VGI; machine learning;deep learning; digital agriculture, land managementABSTRACTThe ever-growing availability of Earth Observation (EO)data is demonstrating a wide range of potential applicationsin the realm of land management. On the other hand, largevolumes of data need to be handled and analysed to extractmeaningful information and Geomatics coupled with newapproaches such as Artificial Intelligence (AI) and MachineLearning (AI) will play a pivotal role in the years to come.Training datasets need to be developed to use these newmodels and Volunteered Geographic Information can beone of the promising sources for EO processing. Amongthe various applications, agriculture may benefit from thelarge dataset availability and AI processing. However, severalissues remain unsolved and further steps should be taken inthe near future by researchers and policy makers.AUTHORVyron AntoniouMulti-National Geospatial Support GroupFrauenberger Str. 250, 53879, Euskirchen,Germanyv.antoniou@ucl.ac.ukFlavio Lupiaflavio.lupia@crea.gov.itCREA Council for AgriculturalResearch and EconomicsVia Po, 14 00198, Rome, Italy14 GEOmedia n°3-2020
FOCUSin collaborazione conIl Servizio Pubblico della distribuzionein relazione ai cambiamentiModelli di prevenzione Piani d’azione Sviluppo sostenibile28 e 29 OTTOBREPresso Piave Servizi - Codognè (TV)USO VERTICALEPer programma & iscrizioniNon è una fiera e neppure un convegno, ma una nuova formula di incontro e comunicazione che, pur tenendoconto delle dinamiche tradizionali, non manca di rispondere a quelle che sono le legittime esigenzedelle aziende: far conoscere i propri prodotti e tecnologie suscitando interesse; e quelle dei gestori: essereaggiornati su tutte le novità e tecnologie innovative di un mercato in continuo fermento.In questo modo chi deve vendere, e chi deve acquistare, si troveranno faccia a faccia in un reciproco scambiodi opinioni, informazioni, esigenze.Attraverso la formula dello speech, si potrà assistere ai vari interventi di presentazione anche in maniera discontinua,senza l’obbligo di rimanere incollati alla sedia trascurando le indispensabili pubbliche relazioniche sono il vero focus di ogni incontro.CON IL PATROCINIO DIASSOCIAZIONE REGIONALE CONSORZI GESTIONEE TUTELA DEL TERRITORIO E ACQUE IRRIGUECONSIGLIO DI BACINOL.R. del Veneto n. 17 del 27 aprilMEDIA PARTNEROrganizzato daServizi a rete - Via delle Foppette, 6 - 20144 Milano (MI) - T +39 02 36517115 - F +39 02 36517116marketing@tecneditedizioni.it - www.serviziarete.itGEOmedia n°3-2020 15
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