{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T07:34:21Z","timestamp":1768808061771,"version":"3.49.0"},"reference-count":52,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2022,10,11]],"date-time":"2022-10-11T00:00:00Z","timestamp":1665446400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the PANhellenic infrastructure for Atmospheric Composition and climatE change (PANACEA) research project","award":["MIS 5021516"],"award-info":[{"award-number":["MIS 5021516"]}]},{"name":"the PANhellenic infrastructure for Atmospheric Composition and climatE change (PANACEA) research project","award":["NSRF 2014\u20132020"],"award-info":[{"award-number":["NSRF 2014\u20132020"]}]},{"name":"the Action Reinforcement of the Research and Innovation Infrastructure, and the Operational Program Competitiveness, Entrepreneurship, and Innovation","award":["MIS 5021516"],"award-info":[{"award-number":["MIS 5021516"]}]},{"name":"the Action Reinforcement of the Research and Innovation Infrastructure, and the Operational Program Competitiveness, Entrepreneurship, and Innovation","award":["NSRF 2014\u20132020"],"award-info":[{"award-number":["NSRF 2014\u20132020"]}]},{"name":"Greece and the European Union (European Regional Development Fund)","award":["MIS 5021516"],"award-info":[{"award-number":["MIS 5021516"]}]},{"name":"Greece and the European Union (European Regional Development Fund)","award":["NSRF 2014\u20132020"],"award-info":[{"award-number":["NSRF 2014\u20132020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Two measurement campaigns were conducted at Thessaloniki, an urban station, (40.5\u00b0N, 22.9\u00b0E; 60 m) in the frame of the PANhellenic infrastructure for Atmospheric Composition and climatEchAnge (PANACEA) project. The first one covers the period from July to August 2019 and the second one from January to February An overview of the aerosol optical properties (columnar and height resolved), acquired with the remote sensing infrastructure of the Laboratory of Atmospheric Physics (LAP) of the Aristotle University of Thessaloniki (AUTH), as well as the additional instrumentation that participated during the PANACEA campaigns is presented. The majority of the detected layers (16 out of 40, ranged between 0.8 and 4.5 km) are classified as biomass burning aerosols, attributed to either city sources or long range transport. Concerning the other aerosol types, the Clean Continental cluster has an occurrence ratio of 23%, while dust layers and mixtures with urban particles transported to Thessaloniki are also identified. Our findings are discussed along with the surface information, i.e., the particulate matter (PM2.5 and PM10) concentrations and the black carbon (BC) concentration, separated into fossil fuel (BCff) and biomass\/wood burning (BCwb) fractions. This is the first time that collocated in situ and remote sensing instruments are deployed in Thessaloniki in order to assess the presence of aerosols and the predominant aerosol type both in situ and at elevated heights. Overall, our study showed that the BCwb contribution to the BC values in Thessaloniki is quite low (11%), whilst the majority of the biomass burning layers identified with the lidar system, are also linked with enhanced BC contribution and high Fine Mode Fraction values.<\/jats:p>","DOI":"10.3390\/rs14205076","type":"journal-article","created":{"date-parts":[[2022,10,12]],"date-time":"2022-10-12T02:10:27Z","timestamp":1665540627000},"page":"5076","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Evaluation of Aerosol Typing with Combination of Remote Sensing Techniques with In Situ Data during the PANACEA Campaigns in Thessaloniki Station, Greece"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8298-5103","authenticated-orcid":false,"given":"Kalliopi Artemis","family":"Voudouri","sequence":"first","affiliation":[{"name":"Laboratory of Atmospheric Physics, Physics Department, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece"}]},{"given":"Konstantinos","family":"Michailidis","sequence":"additional","affiliation":[{"name":"Laboratory of Atmospheric Physics, Physics Department, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece"}]},{"given":"Nikolaos","family":"Siomos","sequence":"additional","affiliation":[{"name":"Meteorological Institute, Ludwig Maximilian Universit\u00e4t M\u00fcnchen, LMU, 80539 Munich, Germany"}]},{"given":"Anthi","family":"Chatzopoulou","sequence":"additional","affiliation":[{"name":"Laboratory of Atmospheric Physics, Physics Department, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece"}]},{"given":"Georgios","family":"Kouvarakis","sequence":"additional","affiliation":[{"name":"Environmental Chemical Processes Laboratory, Department of Chemistry, University of Crete, P.O. Box 2208, Voutes, 71003 Heraklion, Greece"}]},{"given":"Nikolaos","family":"Mihalopoulos","sequence":"additional","affiliation":[{"name":"Environmental Chemical Processes Laboratory, Department of Chemistry, University of Crete, P.O. Box 2208, Voutes, 71003 Heraklion, Greece"}]},{"given":"Paraskevi","family":"Tzoumaka","sequence":"additional","affiliation":[{"name":"Department of Environment, Municipality of Thessaloniki, 18 Kleanthous Str., 54642 Thessaloniki, Greece"}]},{"given":"Apostolos","family":"Kelessis","sequence":"additional","affiliation":[{"name":"Department of Environment, Municipality of Thessaloniki, 18 Kleanthous Str., 54642 Thessaloniki, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1161-7746","authenticated-orcid":false,"given":"Dimitrios","family":"Balis","sequence":"additional","affiliation":[{"name":"Laboratory of Atmospheric Physics, Physics Department, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece"}]}],"member":"1968","published-online":{"date-parts":[[2022,10,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"5781","DOI":"10.1073\/pnas.1514043113","article-title":"Improving our fundamental understanding of the role of aerosol-cloud interactions in the climate system","volume":"113","author":"Seinfeld","year":"2016","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"3657","DOI":"10.1175\/JAS-D-16-0361.1","article-title":"The microphysical roles of lower-tropospheric versus midtropospheric aerosol particles in mature-stage MCS precipitation","volume":"74","author":"Marinescu","year":"2017","journal-title":"J. Atmos. Sci."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"8217","DOI":"10.5194\/acp-15-8217-2015","article-title":"Particulate matter, air quality and climate: Lessons learned and future needs","volume":"15","author":"Fuzzi","year":"2015","journal-title":"Atmos. Chem. Phys."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1007\/s40641-017-0056-z","article-title":"Aerosol Deposition Impacts on Land and Ocean Carbon Cycles","volume":"3","author":"Mahowald","year":"2017","journal-title":"Curr. Clim. Chang. Rep."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1007\/s11869-015-0373-0","article-title":"Fine aerosol particles (PM1): Natural and anthropogenic contributions and health risk assessment","volume":"9","author":"Trippetta","year":"2016","journal-title":"Air Qual. Atmos. Health"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"9269","DOI":"10.5194\/acp-21-9269-2021","article-title":"Overview of the SLOPE I and II campaigns: Aerosol properties retrieved with lidar and sun\u2013sky photometer measurements","volume":"21","author":"Lyamani","year":"2021","journal-title":"Atmos. Chem. Phys."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1481","DOI":"10.1007\/s10113-018-1290-1","article-title":"The relation between climate change in the Mediterranean region and global warming","volume":"18","author":"Lionello","year":"2018","journal-title":"Reg. Environ. Chang."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2621","DOI":"10.1007\/s10113-019-01565-w","article-title":"A multi-model, multi-scenario, and multi-domain analysis of regional climate projections for the Mediterranean","volume":"19","author":"Zittis","year":"2019","journal-title":"Reg. Environ. Chang."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"118184","DOI":"10.1016\/j.atmosenv.2021.118184","article-title":"Tro-pospheric vertical profiling of the aerosol backscatter coefficient and the particle linear depolarization ratio for different aerosol mixtures during the PANACEA campaign in July 2019 at Volos, Greece","volume":"247","author":"Mylonaki","year":"2021","journal-title":"Atmos. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Papanikolaou, C.-A., Papayannis, A., Mylonaki, M., Foskinis, R., Kokkalis, P., Liakakou, E., Stavroulas, I., Soupiona, O., Hatzianastassiou, N., and Gavrouzou, M. (2022). Vertical Profiling of Fresh Biomass Burning Aerosol Optical Properties over the Greek Urban City of Ioannina, during the PANACEA Winter Campaign. Atmosphere, 13.","DOI":"10.3390\/atmos13010094"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2431","DOI":"10.5194\/acp-9-2431-2009","article-title":"Optical characteristics of biomass burning aerosols over Southeastern Europe determined from UV-Raman lidar measurements","volume":"9","author":"Amiridis","year":"2009","journal-title":"Atmos. Chem. Phys."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"569","DOI":"10.5194\/amt-3-569-2010","article-title":"Optical properties of different aerosol types: Seven years of combined Raman-elastic backscatter lidar measurements in Thessaloniki, Greece","volume":"3","author":"Giannakaki","year":"2010","journal-title":"Atmos. Meas. Tech."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"11885","DOI":"10.5194\/acp-18-11885-2018","article-title":"Are EARLINET and AERONET climatologies consistent? The case of Thessaloniki, Greece","volume":"18","author":"Siomos","year":"2018","journal-title":"Atmos. Chem. Phys."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"10961","DOI":"10.5194\/acp-19-10961-2019","article-title":"Comparison of two automated aerosol typing methods and their application to an EARLINET station","volume":"19","author":"Voudouri","year":"2019","journal-title":"Atmos. Chem. Phys."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"5893","DOI":"10.5194\/acp-17-5893-2017","article-title":"Three-dimensional evolution of Saharan dust transport towards Europe based on a 9-year EARLINET-optimized CALIPSO dataset","volume":"17","author":"Marinou","year":"2017","journal-title":"Atmos. Chem. Phys."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"7003","DOI":"10.5194\/acp-17-7003-2017","article-title":"Investigating the quality of modeled aerosol profiles based on combined lidar and sunphotometer data","volume":"17","author":"Siomos","year":"2017","journal-title":"Atmos. Chem. Phys."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Fountoulakis, I., Natsis, A., Siomos, N., Drosoglou, T., and Bais, A.F. (2019). Deriving Aerosol Absorption Properties from Solar Ultraviolet Radiation Spectral Measurements at Thessaloniki, Greece. Remote Sens., 11.","DOI":"10.20944\/preprints201909.0049.v1"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2389","DOI":"10.5194\/amt-7-2389-2014","article-title":"EARLINET: Towards an advanced sustainable European aerosol lidar network","volume":"7","author":"Pappalardo","year":"2014","journal-title":"Atmos. Meas. Tech."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"D00H19","DOI":"10.1029\/2009JD012147","article-title":"EARLINET correlative measurements for CALIPSO: First intercomparison results","volume":"115","author":"Pappalardo","year":"2010","journal-title":"J. Geophys. Res."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1175\/BAMS-86-1-73","article-title":"The atmospheric dynamics mission for global wind field measurement","volume":"86","author":"Stoffelen","year":"2005","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Voudouri, K.A., Siomos, N., Michailidis, K., D\u2019Amico, G., Mattis, I., and Balis, D. (2020). Consistency of the Single Calculus Chain Optical Products with Archived Measurements from an EARLINET Lidar Station. Remote Sens., 12.","DOI":"10.3390\/rs12233969"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0034-4257(98)00031-5","article-title":"AERONET\u2014A Federated Instrument Network and Data Archive for Aerosol Characterization","volume":"66","author":"Holben","year":"1998","journal-title":"Remote Sens. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"2368","DOI":"10.1364\/AO.40.002368","article-title":"Modified \u00c5ngstr\u00f6m exponent for the characterization of submicrometer aerosols","volume":"40","author":"Dubovik","year":"2001","journal-title":"Appl. Opt."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"9787","DOI":"10.1029\/2000JD900245","article-title":"Bimodal size distribution influences on the variation of Angstrom derivatives in spectral and optical depth space","volume":"106","author":"Eck","year":"2001","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_25","first-page":"4559","article-title":"Spectral discrimination of coarse and fine mode optical depth","volume":"108","author":"Eck","year":"2003","journal-title":"J. Geophys. Res."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"169","DOI":"10.5194\/amt-12-169-2019","article-title":"Advancements in the Aerosol Robotic Network (AERONET) Version 3 database\u2014Automated near-real-time quality control algorithm with improved cloud screening for Sun photometer aerosol optical depth (AOD) measurements","volume":"12","author":"Giles","year":"2019","journal-title":"Atmos. Meas. Tech."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Voudouri, K.A., Siomos, N., Giannakaki, E., Amiridis, V., D\u2019Amico, G., and Balis, D. (2017). Long-Term Comparison of Lidar Derived Aerosol Optical Depth Between Two Operational Algorithms and Sun Photometer Measurements for Thessaloniki, Greece. Perspectives on Atmospheric Sciences, Springer. Available online: https:\/\/link.springer.com\/chapter\/10.1007\/978-3-319-35095-0_113.","DOI":"10.1007\/978-3-319-35095-0_113"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"5380","DOI":"10.1002\/jgrd.50171","article-title":"Bounding the role of black carbon in the climate system: A scientific assessment","volume":"118","author":"Bond","year":"2013","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"149739","DOI":"10.1016\/j.scitotenv.2021.149739","article-title":"Apportionment of black and brown carbon spectral absorption sources in the urban environment of Athens, Greece, during winter","volume":"801","author":"Kaskaoutis","year":"2021","journal-title":"Sci. Total Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"20673","DOI":"10.1029\/2000JD900282","article-title":"A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements","volume":"105","author":"Dubovik","year":"2000","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"7113","DOI":"10.1364\/AO.31.007113","article-title":"Independent measurement of extinction and backscatter profiles in cirrus clouds by using a combined Raman elastic-backscatter lidar","volume":"31","author":"Ansmann","year":"1992","journal-title":"Appl. Opt."},{"key":"ref_32","unstructured":"Chaikovsky, A., Dubovik, O., Goloub, P., Balashevich, N., Lopatsin, A., Karol, Y., Denisov, S., and Lapyonok, T. (2008). Software Package for the Retrieval of Aerosol Microphysical Properties in the Vertical Column Using Combined Lidar\/Photometer Data (Test Version), Institute of Physics, National Academy of Sciences of Belarus. Technical Report."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1181","DOI":"10.5194\/amt-9-1181-2016","article-title":"Lidar-Radiometer Inversion Code (LIRIC) for the retrieval of vertical aerosol properties from combined lidar\/radiometer data: Development and distribution in EARLINET","volume":"9","author":"Chaikovsky","year":"2016","journal-title":"Atmos. Meas. Tech."},{"key":"ref_34","first-page":"531","article-title":"Application of a Synergetic Lidar and Sunphotometer Algorithm for the Characterization of a Dust Event Over Athens, Greece","volume":"3","author":"Tsekeri","year":"2013","journal-title":"Br. J. Environ. Clim. Chang."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/j.atmosres.2016.09.007","article-title":"Validation of {LIRIC} aerosol concentration retrievals using airborne measurements during a biomass burning episode over Athens","volume":"183","author":"Kokkalis","year":"2017","journal-title":"Atmos. Res."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"3577","DOI":"10.5194\/amt-8-3577-2015","article-title":"A methodology for investigating dust model performance using synergistic EARLINET\/AERONET dust concentration retrievals","volume":"8","author":"Binietoglou","year":"2015","journal-title":"Atmos. Meas. Tech."},{"key":"ref_37","unstructured":"Mahalanobis, P.C. (1936). On the Generalized Distance in Statistics, National Institute of Science of India."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Siomos, N., Fountoulakis, I., Natsis, A., Drosoglou, T., and Bais, A. (2020). Automated Aerosol Classification from Spectral UV Measurements Using Machine Learning Clustering. Remote Sens., 12.","DOI":"10.3390\/rs12060965"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"15879","DOI":"10.5194\/acp-18-15879-2018","article-title":"An automatic observation-based aerosol typing method for EARLINET","volume":"18","author":"Papagiannopoulos","year":"2018","journal-title":"Atmos. Chem. Phys."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.atmosres.2010.03.011","article-title":"Origin and variability of particulate matter (PM10 and PM2.5) mass concentrations over an Eastern Mediterranean city","volume":"97","author":"Saliba","year":"2010","journal-title":"Atmos. Res."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.atmosenv.2018.07.048","article-title":"Spatial and temporal (short and long-term) variability of submicron, fine and sub-10 \u03bcm particulate matter (PM1, PM2.5, PM10) in Cyprus","volume":"191","author":"Pikridas","year":"2018","journal-title":"Atmos. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1016\/j.atmosenv.2017.06.016","article-title":"Evolution of air pollution source contributions over one decade, derived by PM10 and PM2.5 source apportionment in two metropolitan urban areas in Greece","volume":"164","author":"Diapouli","year":"2017","journal-title":"Atmos. Environ."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"14371","DOI":"10.5194\/acp-18-14371-2018","article-title":"Multi-year chemical composition of the fine-aerosol fraction in Athens, Greece, with emphasis on wintertime residential heating","volume":"18","author":"Theodosi","year":"2018","journal-title":"Atmos. Chem. Phys."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"117137","DOI":"10.1016\/j.atmosenv.2019.117137","article-title":"Long-term variability, source apportionment and spectral properties of black carbon at an urban background site in Athens, Greece","volume":"222","author":"Liakakou","year":"2020","journal-title":"Atmos. Environ."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"4679","DOI":"10.1016\/j.atmosenv.2006.04.020","article-title":"Origin and variability of particulate matter (PM10) mass concentrations over the Eastern Mediterranean","volume":"40","author":"Gerasopoulos","year":"2006","journal-title":"Atmos. Environ."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"104690","DOI":"10.1016\/j.atmosres.2019.104690","article-title":"Long-term characterisation of African dust advection in south-eastern Italy: Influence on fine and coarse particle concentrations, size distributions, and carbon content","volume":"233","author":"Conte","year":"2020","journal-title":"Atmos. Res."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1769","DOI":"10.1007\/s11356-013-2052-8","article-title":"Organic and elemental carbon associated to PM10 and PM2.5 at urban sites of northern Greece","volume":"21","author":"Samara","year":"2014","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.scitotenv.2015.04.022","article-title":"Sources of atmospheric aerosol from long-term measurements (5 years) of chemical composition in Athens, Greece","volume":"527\u2013528","author":"Paraskevopoulou","year":"2015","journal-title":"Sci. Total Environ."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Diapouli, E., Kalogridis, A.-C., Markantonaki, C., Vratolis, S., Fetfatzis, P., Colombi, C., and Eleftheriadis, K. (2017). Annual Variability of Black Carbon Concentrations Originating from Biomass and Fossil Fuel Combustion for the Suburban Aerosol in Athens, Greece. Atmosphere, 8.","DOI":"10.3390\/atmos8120234"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"10219","DOI":"10.5194\/acp-18-10219-2018","article-title":"Assessment of wood burning versus fossil fuel contribution to wintertime black carbon and carbon monoxide concentrations in Athens, Greece","volume":"18","author":"Kalogridis","year":"2018","journal-title":"Atmos. Chem. Phys."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.atmosenv.2017.09.014","article-title":"Characterization of atmospheric black carbon and co-pollutants in urban and rural areas of Spain","volume":"169","author":"Coz","year":"2017","journal-title":"Atmos. Environ."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"18539","DOI":"10.3402\/tellusb.v64i0.18539","article-title":"Development and evaluation of the BSC-DREAM8b dust regional model over Northern Africa, the Mediterranean and the Middle East","volume":"64","author":"Basart","year":"2012","journal-title":"Tellus B Chem. Phys. Meteorol."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/20\/5076\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:50:02Z","timestamp":1760143802000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/20\/5076"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,11]]},"references-count":52,"journal-issue":{"issue":"20","published-online":{"date-parts":[[2022,10]]}},"alternative-id":["rs14205076"],"URL":"https:\/\/doi.org\/10.3390\/rs14205076","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,11]]}}}