{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T18:09:28Z","timestamp":1774030168056,"version":"3.50.1"},"reference-count":56,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2018,9,6]],"date-time":"2018-09-06T00:00:00Z","timestamp":1536192000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41501385"],"award-info":[{"award-number":["41501385"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["XDA19070202"],"award-info":[{"award-number":["XDA19070202"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"publisher","award":["40101200"],"award-info":[{"award-number":["40101200"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000844","name":"European Space Agency","doi-asserted-by":"publisher","award":["40101124"],"award-info":[{"award-number":["40101124"]}],"id":[{"id":"10.13039\/501100000844","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.mdpi.com"],"crossmark-restriction":true},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The European Space Agency\u2019s (ESA\u2019s) Aerosol Climate Change Initiative (CCI) project intends to exploit the robust, long-term, global aerosol optical thickness (AOT) dataset from Europe\u2019s satellite observations. Newly released Swansea University (SU) aerosol products include ATSR-2 (1995-2003) and AATSR(2002-2012) retrieval with a spatial resolution of 10 km. Recently an experimental version of a retrieval using AATSR\/MERIS synergy was developed to provide four months of data for initial testing. In this study, both AATSR retrieval (SU\/AATSR) and AATSR\/MERIS synergy retrieval (SU\/synergy) datasets are validated globally using Aerosol Robotic Network (AERONET) observations for March, June, September, and December 2008, as suggested by the Aerosol-CCI project. The analysis includes the impacts of cloud screening, surface parameterization, and aerosol type selections for two datasets under different surface and atmospheric conditions. The comparison between SU\/AATSR and SU\/synergy shows very accurate and consistent global patterns. The global evaluation using AERONET shows that the SU\/AATSR product exhibits slightly better agreement with AERONET than the SU\/synergy product. SU\/synergy retrieval overestimates AOT for all surface and aerosol conditions. SU\/AATSR data is much more stable and has better quality; it slightly underestimates fine-mode dominated and absorbing AOTs yet slightly overestimates coarse-mode dominated and non-absorbing AOTs.<\/jats:p>","DOI":"10.3390\/rs10091414","type":"journal-article","created":{"date-parts":[[2018,9,6]],"date-time":"2018-09-06T10:38:38Z","timestamp":1536230318000},"page":"1414","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Validation of Aerosol Products from AATSR and MERIS\/AATSR Synergy Algorithms\u2014Part 1: Global Evaluation"],"prefix":"10.3390","volume":"10","author":[{"given":"Yahui","family":"Che","sequence":"first","affiliation":[{"name":"The Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linlu","family":"Mei","sequence":"additional","affiliation":[{"name":"Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Xue","sequence":"additional","affiliation":[{"name":"The Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"Department of Computing and Mathematics, College of Engineering and Technology, University of Derby, Kedleston Road, Derby DE22 1GB, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Guang","sequence":"additional","affiliation":[{"name":"The Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lu","family":"She","sequence":"additional","affiliation":[{"name":"College of Resources and Environmental Science, Ningxia University, Yinchuan 750021, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Li","sequence":"additional","affiliation":[{"name":"The Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Heckel","sequence":"additional","affiliation":[{"name":"Department of Geography, College of Science, Swansea University, Singleton Park, Swansea SA2 8PP, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter","family":"North","sequence":"additional","affiliation":[{"name":"Department of Geography, College of Science, Swansea University, Singleton Park, Swansea SA2 8PP, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,9,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Yang, W., John, V., Zhao, X., Lu, H., and Knapp, K. (2016). Satellite climate data records: Development, applications and social benefits. Remote Sens., 8.","DOI":"10.3390\/rs8040331"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"21","DOI":"10.3354\/cr00951","article-title":"Towards an enhanced climate system monitoring: Challenges and perspectives","volume":"47","author":"Peterson","year":"2011","journal-title":"Clim. Res."},{"key":"ref_3","unstructured":"Global Climate Observing System (GCOS) (2006). Systematic Observation Requirements for Satellite-Based Products for Climate\u2014Supplemental Details to the Satellite-Based Component of the GCOS Implementation Plan, GCOS: Springer. Technical Report GCOS-107; WMO\/TD No. 1338."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1038\/nature01091","article-title":"A satellite view of aerosols in the climate system","volume":"419","author":"Kaufman","year":"2002","journal-title":"Nature"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2989","DOI":"10.5194\/amt-6-2989-2013","article-title":"The Collection 6 MODIS aerosol products over land and ocean","volume":"6","author":"Levy","year":"2013","journal-title":"Atmos. Meas. Tech."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1829","DOI":"10.5194\/amt-6-1829-2013","article-title":"MODIS 3 km aerosol product: Algorithm and global perspective","volume":"6","author":"Remer","year":"2013","journal-title":"Atmos. Meas. Tech."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"9296","DOI":"10.1002\/jgrd.50712","article-title":"Enhanced Deep Blue aerosol retrieval algorithm: The second generation","volume":"118","author":"Hsu","year":"2013","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_8","first-page":"D03211","article-title":"Multiangle implementation of atmospheric correction (MAIAC): 2. Aerosol algorithm","volume":"116","author":"Lyapustin","year":"2011","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"12673","DOI":"10.1002\/2013JD020449","article-title":"Suomi-NPP VIIRS aerosol algorithms and data products","volume":"118","author":"Jackson","year":"2013","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.rse.2004.09.009","article-title":"Using angular and spectral shape similarity constraints to improve MISR aerosol and surface retrievals over land","volume":"94","author":"Diner","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/j.rse.2013.04.023","article-title":"Evaluation of seven European aerosol optical depth retrieval algorithms for climate analysis","volume":"162","author":"Bevan","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1919","DOI":"10.5194\/amt-6-1919-2013","article-title":"Aerosol retrieval experiments in the ESA Aerosol_cci project","volume":"6","author":"Griesfeller","year":"2013","journal-title":"Atmos. Meas. Tech."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Popp, T., de Leeuw, G., Bingen, C., Bruehl, C., Capelle, V., Chedin, A., Clarisse, L., Dubovik, O., Grainger, R., and Griesfeller, J. (2016). Development, Production and Evaluation of Aerosol Climate Data Records from European Satellite Observations (Aerosol_cci). Remote Sens., 8.","DOI":"10.3390\/rs8050421"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"891","DOI":"10.5194\/amt-8-891-2015","article-title":"Determination of land surface reflectance using the AATSR dual-view capability","volume":"8","author":"Sogacheva","year":"2015","journal-title":"Atmos. Meas. Tech."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"545","DOI":"10.1080\/17538947.2015.1111450","article-title":"The ADV\/ASV AATSR aerosol retrieval algorithm: Current status and presentation of a full-mission AOD dataset","volume":"9","author":"Kolmonen","year":"2016","journal-title":"Int. J. Digit. Earth"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Kokhanovsky, A., and de Leeuw, G. (2009). Oxford-RAL Aerosol and Cloud (ORAC): Aerosol retrievals from satellite radiometers. Aerosol Remote Sensing over Land, Springer.","DOI":"10.1007\/978-3-540-69397-0"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"ACC4-1","DOI":"10.1029\/2000JD000207","article-title":"Estimation of aerosol opacity and land surface bidirectional reflectance from ATSR-2 dual-angle imagery: Operational method and validation","volume":"107","author":"North","year":"2002","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_18","unstructured":"Torres, O., Decae, R., Veefkind, J.P., and de Leeuw, G. (2002). OMI Algorithm Theoretical Basis Document Volume III Clouds, Aerosols, and Surface UV Irradiance, NASA GSFC\/University of Maryland."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"4913","DOI":"10.1029\/2000JD900364","article-title":"Remote sensing of aerosols over land surfaces from POLDER-ADEOS-1 polarized measurements","volume":"106","author":"Devaux","year":"2001","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.rse.2016.11.015","article-title":"Retrieval of aerosol optical properties using MERIS observations: Algorithm and some first results","volume":"197","author":"Mei","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.rse.2016.11.016","article-title":"A Cloud masking algorithm for the XBAER aerosol retrieval using MERIS data","volume":"197","author":"Mei","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1819","DOI":"10.1080\/014311699212506","article-title":"Atmospheric correction over land for MERIS","volume":"20","author":"Santer","year":"1999","journal-title":"Int. J. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"MOD1-1","DOI":"10.1029\/2001GL013206","article-title":"A spatio-temporal approach for global validation and analysis of MODIS aerosol products","volume":"29","author":"Ichoku","year":"2002","journal-title":"Geophys. Res. Lett."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"947","DOI":"10.1175\/JAS3385.1","article-title":"The MODIS aerosol algorithm, products and validation","volume":"62","author":"Remer","year":"2005","journal-title":"J. Atmos. Sci."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"MOD2-1","DOI":"10.1029\/2001GL013205","article-title":"Validation of MODIS aerosol optical depth retrieval over land","volume":"29","author":"Chu","year":"2002","journal-title":"Geophys. Res. Lett."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"D22S07","DOI":"10.1029\/2007JD008479","article-title":"Validation and understanding of Moderate Resolution Imaging Spectroradiometer aerosol products (C5) using ground-based measurements from the handheld Sun photometer network in China","volume":"112","author":"Li","year":"2007","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"10399","DOI":"10.5194\/acp-10-10399-2010","article-title":"Global evaluation of the Collection 5 MODIS dark-target aerosol products over land","volume":"10","author":"Levy","year":"2010","journal-title":"Atmos. Chem. Phys."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"7864","DOI":"10.1002\/jgrd.50600","article-title":"Validation and uncertainty estimates for MODIS Collection 6 \u201cDeep Blue\u201d aerosol data","volume":"118","author":"Sayer","year":"2013","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"D10S04","DOI":"10.1029\/2004JD004706","article-title":"Multiangle Imaging Spectroradiometer (MISR) global aerosol optical depth validation based on 2 years of coincident Aerosol Robotic Network (AERONET) observations","volume":"110","author":"Kahn","year":"2005","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"D11205","DOI":"10.1029\/2006JD007647","article-title":"Aerosol source plume physical characteristics from Space-based multiangle imaging","volume":"112","author":"Kahn","year":"2007","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"4095","DOI":"10.1109\/TGRS.2009.2023115","article-title":"MISR aerosol product attributes and statistical comparisons with MODIS","volume":"47","author":"Kahn","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"812","DOI":"10.1029\/2011JD016599","article-title":"SeaWiFS Ocean Aerosol Retrieval (SOAR): Algorithm, validation, and comparison with other data sets","volume":"117","author":"Sayer","year":"2012","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1761","DOI":"10.5194\/amt-5-1761-2012","article-title":"Global and regional evaluation of over-land spectral aerosol optical depth retrievals from SeaWiFS","volume":"5","author":"Sayer","year":"2012","journal-title":"Atmos. Meas. Tech."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1586","DOI":"10.1109\/36.763270","article-title":"Validation of the first algorithm applied for deriving the aerosol properties over the ocean using the POLDER\/ADEOS measurements","volume":"37","author":"Goloub","year":"2002","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1383","DOI":"10.5194\/amt-4-1383-2011","article-title":"Remote sensing of aerosols by using polarized, directional and spectral measurements within the A-Train: The PARASOL mission","volume":"4","author":"Dubovik","year":"2011","journal-title":"Atmos. Meas. Tech."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/j.rse.2011.05.024","article-title":"A global dataset of atmospheric aerosol optical depth and surface reflectance from AATSR","volume":"116","author":"Bevan","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"9655","DOI":"10.5194\/acp-16-9655-2016","article-title":"Inter-comparison of three AATSR Level 2 (L2) AOD products over China","volume":"16","author":"Che","year":"2016","journal-title":"Atmos. Chem. Phys."},{"key":"ref_38","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_39","doi-asserted-by":"crossref","first-page":"12067","DOI":"10.1029\/2001JD900014","article-title":"An emerging ground-based aerosol climatology: Aerosol optical depth from AERONET","volume":"106","author":"Holben","year":"2001","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1002\/qj.49705021008","article-title":"Solar and terrestrial radiation. Report to the international commission for solar research on actinometric investigations of solar and atmospheric radiation","volume":"50","year":"1924","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"3135","DOI":"10.1029\/98GL02264","article-title":"Retrieval of aerosol optical depth over land using two-angle view satellite radiometry during TARFOX","volume":"25","author":"Veefkind","year":"1998","journal-title":"Geophys. Res. Lett."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"526","DOI":"10.1109\/36.739106","article-title":"Retrieval of land surface bidirectional reflectance and aerosol opacity from ATSR-2 multiangle imagery","volume":"37","author":"North","year":"1999","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1815","DOI":"10.5194\/acp-6-1815-2006","article-title":"An AeroCom initial assessment optical properties in aerosol component modules of global models","volume":"6","author":"Kinne","year":"2006","journal-title":"Atmos. Chem. Phys."},{"key":"ref_44","unstructured":"North, P., Grey, W., Heckel, A., Fischer, J., Preusker, R., and Brockmann, C. (2010). MERIS\/AATSR Synergy Algorithms for Cloud Screening, Aerosol Retrieval, and Atmospheric Correction, Swansea University. ESRIN Contract No. 21090\/07\/I-LG; Algorithm Theoretical Basis Document Land Aerosol and Surface Reflectance ATBD."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"151","DOI":"10.5194\/amt-4-151-2011","article-title":"Retrieval of spectral aerosol optical thickness over land using ocean colour sensors MERIS and SeaWiFS","volume":"4","author":"Joon","year":"2011","journal-title":"Atmos. Meas. Tech."},{"key":"ref_46","unstructured":"Gomez-Chova, L., Camps-Valls, G., Calpe, J., Munoz, J., and Moreno, J. (2010). MERIS\/AATSR Synergy Algorithms for Cloud Screening, Aerosol Retrieval, and Atmospheric Correction: Cloud Screening ATBD, version 1.0, University of Valencia."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1029\/2007GL029253","article-title":"On the twilight zone between clouds and aerosols","volume":"34","author":"Koren","year":"2007","journal-title":"Geophys. Res. Lett."},{"key":"ref_48","first-page":"200","article-title":"Comparison of Classical Least Squares and Orthogonal Regression in Measurement Error Models","volume":"10","year":"2018","journal-title":"Int. Online J. Educ. Sci."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1016\/j.rse.2018.06.007","article-title":"The retrieval of ice cloud parameters from multi-spectral satellite observations of reflectance using a modified XBAER algorithm","volume":"215","author":"Mei","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"2511","DOI":"10.5194\/acp-18-2511-2018","article-title":"XBAER-derived aerosol optical thickness from OLCI\/Sentinel-3 observation","volume":"18","author":"Mei","year":"2018","journal-title":"Atmos. Chem. Phys."},{"key":"ref_51","first-page":"625","article-title":"The Relative Importance of Aerosol Scattering and Absorption in Remote Sensing","volume":"23","author":"Fraser","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"RG1007","DOI":"10.1029\/2011RG000362","article-title":"Mineral dust aerosols over the Sahara: Meteorological controls on emission and transport and implications for modeling","volume":"50","author":"Knippertz","year":"2012","journal-title":"Rev. Geophys."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"D20216","DOI":"10.1029\/2011JD016023","article-title":"Aerosol climatology over South Africa based on 10 years of Multiangle Imaging Spectroradiometer (MISR) data","volume":"116","author":"Tesfaye","year":"2011","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Wang, Y., Wang, J., Levy, R.C., Xu, X., and Reid, J.S. (2017). MODIS Retrieval of Aerosol Optical Depth over Turbid Coastal Water. Remote Sens., 9.","DOI":"10.20944\/preprints201705.0157.v1"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1080\/01431161.2011.577831","article-title":"Validation and analysis of aerosol optical thickness retrieval over land","volume":"33","author":"Mei","year":"2012","journal-title":"Int. J. Remote Sens."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"MOD4-1","DOI":"10.1029\/2001GL013252","article-title":"MODIS Cloud screening for remote sensing of aerosols over oceans using spatial variability","volume":"29","author":"Martins","year":"2002","journal-title":"Geophys. Res. Lett."}],"updated-by":[{"DOI":"10.3390\/rs11050568","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2018,9,6]],"date-time":"2018-09-06T00:00:00Z","timestamp":1536192000000}}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/9\/1414\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,3]],"date-time":"2025-08-03T22:51:33Z","timestamp":1754261493000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/9\/1414"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9,6]]},"references-count":56,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2018,9]]}},"alternative-id":["rs10091414"],"URL":"https:\/\/doi.org\/10.3390\/rs10091414","relation":{"correction":[{"id-type":"doi","id":"10.3390\/rs11050568","asserted-by":"object"}]},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,9,6]]}}}