{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T21:02:36Z","timestamp":1743109356633,"version":"3.40.3"},"publisher-location":"Cham","reference-count":51,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030944254"},{"type":"electronic","value":"9783030944261"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-94426-1_1","type":"book-chapter","created":{"date-parts":[[2022,1,18]],"date-time":"2022-01-18T19:09:05Z","timestamp":1642532945000},"page":"3-14","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Copernicus Users Uptake: An\u00a0Overview of\u00a0Downstream Applications"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1890-6671","authenticated-orcid":false,"given":"Lorenza","family":"Apicella","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1801-3403","authenticated-orcid":false,"given":"Alfonso","family":"Quarati","sequence":"additional","affiliation":[]},{"given":"Silvia","family":"Gorni","sequence":"additional","affiliation":[]},{"given":"Roderic","family":"Molina","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1963-3321","authenticated-orcid":false,"given":"Monica","family":"De Martino","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,1,18]]},"reference":[{"key":"1_CR1","doi-asserted-by":"publisher","first-page":"133587","DOI":"10.1016\/j.scitotenv.2019.133587","volume":"693","author":"J Adame","year":"2019","unstructured":"Adame, J., Notario, A., Cuevas, C., Lozano, A., Yela, M., Saiz-Lopez, A.: Recent increase in no2 levels in the southeast of the Iberian peninsula. Sci. Total Environ. 693, 133587 (2019). https:\/\/doi.org\/10.1016\/j.scitotenv.2019.133587","journal-title":"Sci. Total Environ."},{"key":"1_CR2","doi-asserted-by":"publisher","first-page":"924","DOI":"10.1016\/j.solener.2018.05.089","volume":"170","author":"A Alfadda","year":"2018","unstructured":"Alfadda, A., Rahman, S., Pipattanasomporn, M.: Solar irradiance forecast using aerosols measurements: a data driven approach. Solar Energy 170, 924\u2013939 (2018). https:\/\/doi.org\/10.1016\/j.solener.2018.05.089","journal-title":"Solar Energy"},{"key":"1_CR3","unstructured":"Ayazi, R., d\u2019Auria, I., Tassa, A., Turpin, J. (Eds.): The ever growing use of copernicus across europe\u2019s regions (2018)"},{"key":"1_CR4","doi-asserted-by":"publisher","DOI":"10.1080\/1755876X.2019.1633075","author":"N Bensoussan","year":"2019","unstructured":"Bensoussan, N., et al.: Using CMEMS and the Mediterranean marine protected areas sentinel network to track ocean warming effects in coastal areas. J. Oper. Oceanogr. (2019). https:\/\/doi.org\/10.1080\/1755876X.2019.1633075","journal-title":"J. Oper. Oceanogr."},{"key":"1_CR5","doi-asserted-by":"publisher","first-page":"862","DOI":"10.1016\/j.scitotenv.2018.07.411","volume":"647","author":"M de Blas","year":"2019","unstructured":"de Blas, M.: Summertime high resolution variability of atmospheric formaldehyde and non-methane volatile organic compounds in a rural background area. Sci. Total Environ. 647, 862\u2013877 (2019). https:\/\/doi.org\/10.1016\/j.scitotenv.2018.07.411","journal-title":"Sci. Total Environ."},{"issue":"6","key":"1_CR6","doi-asserted-by":"publisher","first-page":"1405","DOI":"10.5194\/os-14-1405-2018","volume":"14","author":"A Bonaduce","year":"2018","unstructured":"Bonaduce, A., Benkiran, M., Remy, E., Le Traon, P.Y., Garric, G.: Contribution of future wide-swath altimetry missions to ocean analysis and forecasting. Ocean Sci. 14(6), 1405\u20131421 (2018). https:\/\/doi.org\/10.5194\/os-14-1405-2018","journal-title":"Ocean Sci."},{"key":"1_CR7","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.cliser.2017.06.003","volume":"9","author":"C Buontempo","year":"2018","unstructured":"Buontempo, C., et al.: What have we learnt from Euporias climate service prototypes? Clim. Serv. 9, 21\u201332 (2018). https:\/\/doi.org\/10.1016\/j.cliser.2017.06.003","journal-title":"Clim. Serv."},{"key":"1_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.cliser.2017.06.011","volume":"9","author":"C Buontempo","year":"2018","unstructured":"Buontempo, C., Hewitt, C.: Euporias and the development of climate services. Clim. Serv. 9, 1\u20134 (2018). https:\/\/doi.org\/10.1016\/j.cliser.2017.06.011","journal-title":"Clim. Serv."},{"key":"1_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.wace.2019.100226","author":"C Buontempo","year":"2019","unstructured":"Buontempo, C., Hutjes, R., Beavis, P., Berckmans, J., Cagnazzo, C., et al.: Fostering the development of climate services through copernicus climate change service (c3s) for agriculture applications. Weather Clim. Extremes (2019). https:\/\/doi.org\/10.1016\/j.wace.2019.100226","journal-title":"Weather Clim. Extremes"},{"key":"1_CR10","doi-asserted-by":"publisher","unstructured":"Caballero, I., Ruiz, J., Navarro, G.: Sentinel-2 satellites provide near-real time evaluation of catastrophic floods in the west mediterranean. Water 11(12) (2019). https:\/\/doi.org\/10.3390\/w11122499","DOI":"10.3390\/w11122499"},{"key":"1_CR11","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.jag.2018.06.003","volume":"73","author":"B Cole","year":"2018","unstructured":"Cole, B., Smith, G., Balzter, H.: Acceleration and fragmentation of corine land cover changes in the united kingdom from 2006\u20132012 detected by copernicus image2012 satellite data. Int. J. Appl. Earth Obs. Geoinf. 73, 107\u2013122 (2018). https:\/\/doi.org\/10.1016\/j.jag.2018.06.003","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"1_CR12","doi-asserted-by":"publisher","unstructured":"Delory, E., Pearlman, J.: Chapter 5 - innovative sensor carriers for cost-effective global ocean sampling. In: Challenges and Innovations in Ocean In Situ Sensors, pp. 173\u2013288. Elsevier (2019). https:\/\/doi.org\/10.1016\/j.scitotenv.2016.01.020","DOI":"10.1016\/j.scitotenv.2016.01.020"},{"key":"1_CR13","doi-asserted-by":"publisher","unstructured":"DeVries, B., Huang, C., Armston, J., Huang, W., Jones, J.W., Lang, M.W.: Rapid and robust monitoring of flood events using sentinel-1 and landsat data on the google earth engine. Remote Sens. Environ. 240 (2020). https:\/\/doi.org\/10.1016\/j.rse.2020.111664","DOI":"10.1016\/j.rse.2020.111664"},{"key":"1_CR14","first-page":"73","volume":"6","author":"C Doldrina","year":"2015","unstructured":"Doldrina, C.: Open data and earth observations: the case of opening up access to and use of earth observation data through the global earth observation system of systems. J. Intell. Prop. Info. Tech. Elec. Com. L. 6, 73 (2015)","journal-title":"J. Intell. Prop. Info. Tech. Elec. Com. L."},{"key":"1_CR15","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.cliser.2018.06.002","volume":"11","author":"C Donnelly","year":"2018","unstructured":"Donnelly, C., Ernst, K., Arheimer, B.: A comparison of hydrological climate services at different scales by users and scientists. Clim. Serv. 11, 24\u201335 (2018). https:\/\/doi.org\/10.1016\/j.cliser.2018.06.002","journal-title":"Clim. Serv."},{"key":"1_CR16","doi-asserted-by":"publisher","unstructured":"Doxani, G., Siachalou, S., Mitraka, Z., Patias, P.: Decision making on disaster management in agriculture with sentinel applications. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. (2019). https:\/\/doi.org\/10.5194\/isprs-archives-XLII-3-W8-121-2019","DOI":"10.5194\/isprs-archives-XLII-3-W8-121-2019"},{"issue":"11","key":"1_CR17","doi-asserted-by":"publisher","first-page":"3523","DOI":"10.5194\/gmd-8-3523-2015","volume":"8","author":"H Eskes","year":"2015","unstructured":"Eskes, H., et al.: Validation of reactive gases and aerosols in the MACC global analysis and forecast system. Geosci. Model Dev. 8(11), 3523\u20133543 (2015). https:\/\/doi.org\/10.5194\/gmd-8-3523-2015","journal-title":"Geosci. Model Dev."},{"key":"1_CR18","unstructured":"European Commission: Copernicus User Uptake - Engaging with public authorities, the private sector and civil society. Final Version (2016)"},{"key":"1_CR19","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1016\/j.scitotenv.2019.02.417","volume":"668","author":"DA Garcia","year":"2019","unstructured":"Garcia, D.A., et al.: An identification and a prioritisation of geographic and temporal data gaps of mediterranean marine databases. Sci. Total Environ. 668, 531\u2013546 (2019). https:\/\/doi.org\/10.1016\/j.scitotenv.2019.02.417","journal-title":"Sci. Total Environ."},{"key":"1_CR20","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.isprsjprs.2018.03.005","volume":"139","author":"FJ Garc\u00eda-Haro","year":"2018","unstructured":"Garc\u00eda-Haro, F.J., et al.: Derivation of global vegetation biophysical parameters from eumetsat polar system. ISPRS J. Photogramm. Remote Sens. 139, 57\u201374 (2018). https:\/\/doi.org\/10.1016\/j.isprsjprs.2018.03.005","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"1_CR21","doi-asserted-by":"publisher","unstructured":"Gomarasca, M.A., et al.: Sentinel for applications in agriculture. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. (2019). https:\/\/doi.org\/10.1109\/IGARSS.2018.8518494","DOI":"10.1109\/IGARSS.2018.8518494"},{"key":"1_CR22","doi-asserted-by":"publisher","unstructured":"Huijnen, V., et al.: Fire carbon emissions over maritime Southeast Asia in 2015 largest since 1997. Sci. Rep. 6 (2016). https:\/\/doi.org\/10.1038\/srep26886","DOI":"10.1038\/srep26886"},{"key":"1_CR23","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1016\/B978-0-12-409548-9.10317-3","volume-title":"Comprehensive Remote Sensing","author":"S Jutz","year":"2018","unstructured":"Jutz, S., Milagro-P\u00e9rez, M.: 1.06 - copernicus program. In: Liang, S. (ed.) Comprehensive Remote Sensing, pp. 150\u2013191. Elsevier, Oxford (2018). https:\/\/doi.org\/10.1016\/B978-0-12-409548-9.10317-3"},{"issue":"7","key":"1_CR24","doi-asserted-by":"publisher","first-page":"606","DOI":"10.3390\/rs8070606","volume":"8","author":"A Lefebvre","year":"2016","unstructured":"Lefebvre, A., Sannier, C., Corpetti, T.: Monitoring urban areas with sentinel-2a data: application to the update of the copernicus high resolution layer imperviousness degree. Remote Sens. 8(7), 606 (2016). https:\/\/doi.org\/10.3390\/rs8070606","journal-title":"Remote Sens."},{"key":"1_CR25","doi-asserted-by":"publisher","unstructured":"Marco, E., et al.: Improvement of existing and development of future copernicus land monitoring products - the ecolass project. ISPRS Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. XLII-2\/W16, 201\u2013208 (2019). https:\/\/doi.org\/10.5194\/isprs-archives-XLII-2-W16-201-2019","DOI":"10.5194\/isprs-archives-XLII-2-W16-201-2019"},{"key":"1_CR26","doi-asserted-by":"publisher","first-page":"111366","DOI":"10.1016\/j.rse.2019.111366","volume":"233","author":"P Minnett","year":"2019","unstructured":"Minnett, P., et al.: Half a century of satellite remote sensing of sea-surface temperature. Remote Sens. Environ. 233, 111366 (2019). https:\/\/doi.org\/10.1016\/j.rse.2019.111366","journal-title":"Remote Sens. Environ."},{"key":"1_CR27","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/j.cliser.2016.11.003","volume":"4","author":"P Monfray","year":"2016","unstructured":"Monfray, P., Bley, D.: JPI climate: a key player in advancing climate services in Europe. Clim. Serv. 4, 61\u201364 (2016). https:\/\/doi.org\/10.1016\/j.cliser.2016.11.003","journal-title":"Clim. Serv."},{"key":"1_CR28","doi-asserted-by":"publisher","first-page":"104422","DOI":"10.1016\/j.cageo.2020.104432","volume":"137","author":"L Naitza","year":"2020","unstructured":"Naitza, L., et al.: Increasing the maturity of measurements of essential climate variables (ecvs) at italian atmospheric wmo\/gaw observatories by implementing automated data elaboration chains. Comput. Geosci. 137, 104422 (2020). https:\/\/doi.org\/10.1016\/j.cageo.2020.104432","journal-title":"Comput. Geosci."},{"key":"1_CR29","doi-asserted-by":"publisher","unstructured":"Piedelobo, L., et al.: Assessment of green infrastructure in riparian zones using copernicus programme. Remote Sens. 11(24) (2019). https:\/\/doi.org\/10.3390\/rs11242967","DOI":"10.3390\/rs11242967"},{"key":"1_CR30","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1016\/j.rse.2017.07.014","volume":"203","author":"S Plummer","year":"2017","unstructured":"Plummer, S., Lecomte, P., Doherty, M.: The ESA climate change initiative (CCI): a European contribution to the generation of the global climate observing system. Remote Sens. Environ. 203, 2\u20138 (2017). https:\/\/doi.org\/10.1016\/j.rse.2017.07.014","journal-title":"Remote Sens. Environ."},{"key":"1_CR31","unstructured":"France, P.C. (ed.): Copernicus Market Report. Luxembourg, European Union (2019)"},{"key":"1_CR32","doi-asserted-by":"publisher","unstructured":"Quarati, A., Raffaghelli, J.E.: Do researchers use open research data? exploring the relationships between usage trends and metadata quality across scientific disciplines from the figshare case. J. Inf. Sci. (2020). https:\/\/doi.org\/10.1177\/0165551520961048","DOI":"10.1177\/0165551520961048"},{"key":"1_CR33","doi-asserted-by":"publisher","unstructured":"Quarati, A., De Martino, M.: Open government data usage: a brief overview. In: Proceedings of the 23rd International Database Applications & Engineering Symposium, pp. 1\u20138 (2019). https:\/\/doi.org\/10.1145\/3331076.3331115","DOI":"10.1145\/3331076.3331115"},{"key":"1_CR34","doi-asserted-by":"publisher","unstructured":"Quarati, A., De Martino, M.: Geospatial open data usage and metadata quality. ISPRS Int. J. Geo-Inf. 10 (2021). https:\/\/doi.org\/10.1177\/0165551520961048","DOI":"10.1177\/0165551520961048"},{"key":"1_CR35","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/j.ijdrr.2018.03.002","volume":"30","author":"C Rossi","year":"2018","unstructured":"Rossi, C., et al.: Early detection and information extraction for weather-induced floods using social media streams. Int. J. Disast. Risk Reduct. 30, 145\u2013157 (2018). https:\/\/doi.org\/10.1016\/j.ijdrr.2018.03.002","journal-title":"Int. J. Disast. Risk Reduct."},{"key":"1_CR36","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/j.ocecoaman.2018.04.015","volume":"160","author":"AG Rumson","year":"2018","unstructured":"Rumson, A.G., Hallett, S.H.: Opening up the coast. Ocean Coast. Manag. 160, 133\u2013145 (2018). https:\/\/doi.org\/10.1016\/j.ocecoaman.2018.04.015","journal-title":"Ocean Coast. Manag."},{"key":"1_CR37","unstructured":"Staneva, J., Behrens, A., Gayer, G., Aouf, L.: Synergy between cmems products and newly available data from sentinel. J. Oper. Oceanogr (2019)"},{"key":"1_CR38","doi-asserted-by":"publisher","unstructured":"Stegmaier, P., Hamaker-Taylor, R., Jim\u00e9nez Alonso, E.: Reflexive climate service infrastructure relations. Clim. Serv 17, 100151 (2020). https:\/\/doi.org\/10.1016\/j.cliser.2020.100151, special issue on European Climate Services Markets - Conditions, Challenges, Prospects, and Examples","DOI":"10.1016\/j.cliser.2020.100151"},{"key":"1_CR39","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.cliser.2017.06.008","volume":"6","author":"R Swart","year":"2017","unstructured":"Swart, R., de Bruin, K., Dhenain, S., Dubois, G., Groot, A., von der Forst, E.: Developing climate information portals with users: Promises and pitfalls. Clim. Serv. 6, 12\u201322 (2017). https:\/\/doi.org\/10.1016\/j.cliser.2017.06.008","journal-title":"Clim. Serv."},{"key":"1_CR40","doi-asserted-by":"publisher","unstructured":"Tchepel, O., et al.: Urban aerosol assessment and forecast: coimbra case study. Atmospheric Pollution Research (2020). https:\/\/doi.org\/10.1016\/j.apr.2020.04.006","DOI":"10.1016\/j.apr.2020.04.006"},{"key":"1_CR41","doi-asserted-by":"publisher","unstructured":"Tompkins, A.M., et al.: Chapter 22 - predicting climate impacts on health at sub-seasonal to seasonal timescales. In: Sub-Seasonal to Seasonal Prediction, pp. 455\u2013477. Elsevier (2019). https:\/\/doi.org\/10.1016\/B978-0-12-811714-9.00022-X","DOI":"10.1016\/B978-0-12-811714-9.00022-X"},{"key":"1_CR42","doi-asserted-by":"publisher","first-page":"1307","DOI":"10.1016\/j.scitotenv.2016.01.020","volume":"572","author":"AN Tyler","year":"2016","unstructured":"Tyler, A.N., Hunter, P.D., Spyrakos, E., Groom, S., Constantinescu, A.M., Kitchen, J.: Developments in earth observation for the assessment and monitoring of inland, transitional, coastal and shelf-sea waters. Sci. Total Environ. 572, 1307\u20131321 (2016). https:\/\/doi.org\/10.1016\/j.scitotenv.2016.01.020","journal-title":"Sci. Total Environ."},{"key":"1_CR43","doi-asserted-by":"publisher","first-page":"11155","DOI":"10.1016\/j.rse.2019.111555","volume":"237","author":"F T\u0103tui","year":"2020","unstructured":"T\u0103tui, F., Constantin, S.: Nearshore sandbars crest position dynamics analysed based on earth observation data. Remote Sens. Environ. 237, 11155 (2020). https:\/\/doi.org\/10.1016\/j.rse.2019.111555","journal-title":"Remote Sens. Environ."},{"key":"1_CR44","doi-asserted-by":"publisher","unstructured":"Van Hateren, T.C., Sutanto, S.J., Van Lanen, H.A.: Evaluating skill and robustness of seasonal meteorological and hydrological drought forecasts at the catchment scale-case catalonia (Spain). Environ. Int. 133 (2019). https:\/\/doi.org\/10.5194\/egusphere-egu2020-1491","DOI":"10.5194\/egusphere-egu2020-1491"},{"key":"1_CR45","doi-asserted-by":"publisher","unstructured":"Verron, J., et al.: The saral\/altika mission: a step forward to the future of altimetry. Adv. Space Res. (2020). https:\/\/doi.org\/10.1016\/j.asr.2020.01.030","DOI":"10.1016\/j.asr.2020.01.030"},{"issue":"3","key":"1_CR46","doi-asserted-by":"publisher","first-page":"498","DOI":"10.3390\/fi6030498","volume":"6","author":"G Viscusi","year":"2014","unstructured":"Viscusi, G., Castelli, M., Batini, C.: Assessing social value in open data initiatives: a framework. Fut. Internet 6(3), 498\u2013517 (2014). https:\/\/doi.org\/10.3390\/fi6030498","journal-title":"Fut. Internet"},{"key":"1_CR47","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.envint.2019.03.008","volume":"127","author":"C Vitolo","year":"2019","unstructured":"Vitolo, C., Napoli, C.D., Giuseppe, F.D., Cloke, H.L., Pappenberger, F.: Mapping combined wildfire and heat stress hazards to improve evidence-based decision making. Environ. Int. 127, 21\u201334 (2019). https:\/\/doi.org\/10.1016\/j.envint.2019.03.008","journal-title":"Environ. Int."},{"key":"1_CR48","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1016\/j.rse.2019.03.002","volume":"225","author":"A Wolanin","year":"2019","unstructured":"Wolanin, A., Camps-Valls, G., G\u00f3mez-Chova, L., Mateo-Garc\u00eda, G., et al.: Estimating crop primary productivity with sentinel-2 and landsat 8 using machine learning methods trained with radiative transfer simulations. Remote Sens. Environ. 225, 441\u2013457 (2019)","journal-title":"Remote Sens. Environ."},{"key":"1_CR49","first-page":"1","volume":"12","author":"D Van der Zande","year":"2019","unstructured":"Van der Zande, D., et al.: Joint monitoring programme of the eutrophication of the northsea with satellite data user case. J. Oper. Oceanogr. 12, 1\u20137 (2019)","journal-title":"J. Oper. Oceanogr."},{"key":"1_CR50","doi-asserted-by":"crossref","unstructured":"Zeil, P., Ourevitch, S., Debien, A., Pico, U.: Copernicus user uptake-copernicus relays and the copernicus academy. In: GI Forum-Journal for Geographic Information Science, vol. 1, pp. 253\u2013259 (2017)","DOI":"10.1553\/giscience2017_01_s253"},{"issue":"1","key":"1_CR51","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.giq.2013.04.003","volume":"31","author":"A Zuiderwijk","year":"2014","unstructured":"Zuiderwijk, A., Janssen, M.: Open data policies, their implementation and impact: a framework for comparison. Gov. Inf. Q. 31(1), 17\u201329 (2014). https:\/\/doi.org\/10.1016\/j.giq.2013.04.003","journal-title":"Gov. Inf. Q."}],"container-title":["Communications in Computer and Information Science","Geomatics and Geospatial Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-94426-1_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T11:24:28Z","timestamp":1651749868000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-94426-1_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030944254","9783030944261"],"references-count":51,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-94426-1_1","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"18 January 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ASITA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italian Conference on Geomatics and Geospatial Technologies","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Genoa","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"1 July 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 July 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"asita2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.asita.it\/en\/home-english\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"OCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"139","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"28","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"20% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Due to the COVID-19 pandemic the conference was hels online as five separate sessions between 1 and 23 July 2021","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}