{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T19:24:55Z","timestamp":1767900295249,"version":"3.49.0"},"reference-count":68,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2018,11,21]],"date-time":"2018-11-21T00:00:00Z","timestamp":1542758400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","award":["2017YFA0604704"],"award-info":[{"award-number":["2017YFA0604704"]}],"id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41771197"],"award-info":[{"award-number":["41771197"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Numerous global-scale land-cover datasets have greatly contributed to the study of global environmental change and the sustainable management of natural resources. However, land-cover datasets inevitably experience information loss because of the nature of the uncertainty in the interpretation of remote-sensing images. Therefore, analyzing the spatial consistency of multi-source land-cover datasets on the global scale is important to maintain the consistency of time and consider the effects of land-cover changes on spatial consistency. In this study, we assess the spatial consistency of five land-cover datasets, namely, GLC2000, CCI LC, MCD12, GLOBCOVER and GLCNMO, at the global and continental scales through climate and elevation partitions. The influencing factors of surface conditions and data producers on the spatial inconsistency are discussed. The results show that the global overall consistency of the five datasets ranges from 49.2% to 67.63%. The spatial consistency of Europe is high, and the multi-year value is 66.57%. In addition, the overall consistency in the EF climatic zone is very high, around 95%. The surface conditions and data producers affect the spatial consistency of land-cover datasets to different degrees. CCI LC and GLCNMO (2013) have the highest overall consistencies on the global scale, reaching 67.63%. Generally, the consistency of these five global land-cover datasets is relatively low, increasing the difficulty of satisfying the needs of high-precision land-surface-process simulations.<\/jats:p>","DOI":"10.3390\/rs10111846","type":"journal-article","created":{"date-parts":[[2018,11,22]],"date-time":"2018-11-22T09:18:25Z","timestamp":1542878305000},"page":"1846","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":89,"title":["Spatial Consistency Assessments for Global Land-Cover Datasets: A Comparison among GLC2000, CCI LC, MCD12, GLOBCOVER and GLCNMO"],"prefix":"10.3390","volume":"10","author":[{"given":"Ting","family":"Hua","sequence":"first","affiliation":[{"name":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"},{"name":"Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"}]},{"given":"Wenwu","family":"Zhao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"},{"name":"Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"}]},{"given":"Yanxu","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"},{"name":"Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"}]},{"given":"Shuai","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"},{"name":"Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"}]},{"given":"Siqi","family":"Yang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"},{"name":"Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"}]}],"member":"1968","published-online":{"date-parts":[[2018,11,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"570","DOI":"10.1126\/science.1111772","article-title":"Global consequences of land use","volume":"309","author":"Foley","year":"2005","journal-title":"Science"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"20666","DOI":"10.1073\/pnas.0704119104","article-title":"The emergence of land change science for global environmental change and sustainability","volume":"104","author":"Turner","year":"2007","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"3123","DOI":"10.1175\/1520-0442(2002)015<3123:TLSCOT>2.0.CO;2","article-title":"The land surface climatology of the NCAR land surface model coupled to the NCAR community climate model*","volume":"15","author":"Bonan","year":"2002","journal-title":"J. Clim."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1641\/0006-3568(2004)054[0547:ACSMOG]2.0.CO;2","article-title":"A continuous satellite-derived measure of global terrestrial primary production","volume":"54","author":"Running","year":"2004","journal-title":"Bioscience"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1016\/j.jhydrol.2009.09.047","article-title":"Satellite based analysis of northern et trends and associated changes in the regional water balance from 1983 to 2005","volume":"379","author":"Zhang","year":"2009","journal-title":"J. Hydrol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2423","DOI":"10.1080\/014311699212100","article-title":"Basic probability sampling designs for thematic map accuracy assessment","volume":"20","author":"Stehman","year":"1999","journal-title":"Int. J. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1016\/j.rse.2009.12.013","article-title":"Probability- and model-based approaches to inference for proportion forest using satellite imagery as ancillary data","volume":"114","author":"Mcroberts","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1111\/j.1523-1739.2009.01212.x","article-title":"One hundred questions of importance to the conservation of global biological diversity","volume":"23","author":"Sutherland","year":"2009","journal-title":"Conserv. Boil."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/j.ecolmodel.2007.06.032","article-title":"Remote sensing-based ecosystem\u2013atmosphere simulation scheme (EASS)\u2014model formulation and test with multiple-year data","volume":"209","author":"Chen","year":"2007","journal-title":"Ecol. Model."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"676","DOI":"10.1175\/1520-0442(1996)009<0676:ARLSPF>2.0.CO;2","article-title":"A Revised Land Surface Parameterization (SiB2) for Atmospheric GCMs. Part I: Model Formulation","volume":"9","author":"Sellers","year":"1996","journal-title":"J. Clim."},{"key":"ref_11","first-page":"1013","article-title":"The common land model","volume":"1","author":"Dai","year":"2015","journal-title":"Bull. Am. Meteor. Soc."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Yu, L., Su, J., Li, C., Wang, L., Luo, Z., and Yan, B. (2018). Improvement of moderate resolution land use and land cover classification by introducing adjacent region features. Remote Sens., 10.","DOI":"10.3390\/rs10030414"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1175\/1520-0450(1983)022<0474:GVALUN>2.0.CO;2","article-title":"Global vegetation and land use: New high-resolution data bases for climate studies","volume":"22","author":"Matthews","year":"1983","journal-title":"J. Clim. Appl. Meteorol"},{"key":"ref_14","unstructured":"Olson, J.S., and Watts, J.S. (1982). Major World Ecosystem Complexes."},{"key":"ref_15","unstructured":"Henderson-Sellers, A., Wilson, M.F., Thomas, G., and Dickinson, R.E. (1985). Current Global Land-Surface Data Sets for Use in Climate Related Studies, NCAR."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1016\/0034-4257(95)00142-5","article-title":"Global discrimination of land cover types from metrices derived from AVHRR pathfinder data","volume":"54","author":"Defries","year":"1995","journal-title":"Remote Sens. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"3289","DOI":"10.1080\/014311697217099","article-title":"The IGBP-DIS global 1 km land cover data set, discover: First results","volume":"18","author":"Loveland","year":"1997","journal-title":"Int. J. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1303","DOI":"10.1080\/014311600210191","article-title":"Development of a global land cover characteristics database and IGBP discover from 1 km AVHRR data","volume":"21","author":"Loveland","year":"2000","journal-title":"Int. J. Remote Sens."},{"key":"ref_19","first-page":"24","article-title":"Globcover: The most detailed portrait of earth","volume":"2008","author":"Arino","year":"2008","journal-title":"ESA Bull. Bull. ASE. Eur. Space Agency"},{"key":"ref_20","first-page":"285","article-title":"Globcover: Products description and validation report","volume":"17","author":"Bicheron","year":"2011","journal-title":"Foro Mund. De La Salud"},{"key":"ref_21","unstructured":"Defourny, P., Kirches, G., Brockmann, C., Boettcher, M., Peters, M., Bontemps, S., Lamarche, C., Schlerf, M., and Santoro, M. (2015, June 11). Land Cover CCI: Product User Guide Version 2. Available online: http:\/\/maps.elie.ucl.ac.be\/CCI\/viewer\/download\/ESACCI-LC-PUG-V2.4.pdf."},{"key":"ref_22","first-page":"1069","article-title":"The global land-cover characteristics database: The users\u2019 perspective","volume":"65","author":"Brown","year":"1999","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/S0034-4257(01)00295-4","article-title":"Status of land cover classification accuracy assessment","volume":"80","author":"Foody","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2271","DOI":"10.1016\/j.rse.2010.05.003","article-title":"Assessing the accuracy of land cover change with imperfect ground reference data","volume":"114","author":"Foody","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2538","DOI":"10.1016\/j.rse.2007.11.013","article-title":"Some challenges in global land cover mapping: An assessment of agreement and accuracy in existing 1km datasets","volume":"112","author":"Herold","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"2237","DOI":"10.1080\/01431160902946598","article-title":"Comparison of global and regional land cover maps with statistical information for the agricultural domain in Africa","volume":"31","author":"Fritz","year":"2010","journal-title":"Int. J. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/j.rse.2004.09.005","article-title":"A comparative analysis of the global land cover 2000 and MODIS land cover data sets","volume":"94","author":"Giri","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_28","first-page":"246","article-title":"A spatial comparison of four satellite derived 1 km global land cover datasets","volume":"8","author":"Mccallum","year":"2006","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_29","first-page":"207","article-title":"Comparison and relative quality assessment of the GLC2000, GLOBCOVER, MODIS and ECOCLIMAP land cover data sets at the African continental scale","volume":"13","author":"Roujean","year":"2011","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/j.rse.2003.11.016","article-title":"Accuracy assessment using sub-pixel fractional error matrices of global land cover products derived from satellite data","volume":"90","author":"Latifovic","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1080\/01431160902893451","article-title":"Evaluation of four remote sensing based land cover products over China","volume":"31","author":"Ran","year":"2010","journal-title":"Int. J. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"3769","DOI":"10.1080\/01431160701881897","article-title":"Validation and comparison of 1 km global land cover products in China","volume":"29","author":"Wu","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1038\/s41586-018-0411-9","article-title":"Global land change from 1982 to 2016","volume":"560","author":"Song","year":"2018","journal-title":"Nature"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Seto, K.C., Michail, F., Burak, G., and Reilly, M.K. (2011). A meta-analysis of global urban land expansion. PLoS ONE, 6.","DOI":"10.1371\/journal.pone.0023777"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1016\/j.apgeog.2008.12.005","article-title":"Land use and land cover change in Greater Dhaka, Bangladesh: Using remote sensing to promote sustainable urbanization","volume":"29","author":"Dewan","year":"2009","journal-title":"Appl. Geogr."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1959","DOI":"10.1080\/01431160412331291297","article-title":"Glc2000: A new approach to global land cover mapping from earth observation data","volume":"26","author":"Bartholome","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1016\/j.rse.2009.08.016","article-title":"Modis collection 5 global land cover: Algorithm refinements and characterization of new datasets","volume":"114","author":"Friedl","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_38","first-page":"22","article-title":"Production of global land cover data\u2014GLCNMO","volume":"4","author":"Kasimu","year":"2011","journal-title":"J. Geogr. Geol."},{"key":"ref_39","unstructured":"(2018, November 21). European Space Agency Climate Change Initiative. Available online: http:\/\/maps.elie.ucl.ac.be\/CCI\/viewer\/index.php."},{"key":"ref_40","unstructured":"(2018, November 21). The Global Land Cover by National Mapping Organizations. Available online: https:\/\/globalmaps.github.io\/glcnmo.html."},{"key":"ref_41","unstructured":"(2018, November 21). European Space Agency GlobCover Portal. Available online: http:\/\/due.esrin.esa.int\/page_globcover.php."},{"key":"ref_42","unstructured":"(2018, November 21). USGS Earth Resources Observation and Science (EROS) Center, Available online: https:\/\/e4ftl01.cr.usgs.gov\/MOTA\/."},{"key":"ref_43","unstructured":"(2018, November 21). Joint Research Centre, the European Commission\u2019s Science and Knowledge Service. Available online: http:\/\/forobs.jrc.ec.europa.eu\/products\/glc2000\/products.php."},{"key":"ref_44","unstructured":"(2018, November 21). World Maps of KOPPEN-GEIGER Climate Classification. Available online: http:\/\/koeppen-geiger.vu-ien.ac.at\/."},{"key":"ref_45","first-page":"1839","article-title":"Agreement analysis of multi-sensor satellite remote sensing derived land cover products in the Europe Continent","volume":"34","author":"Hu","year":"2015","journal-title":"Geogr. Res."},{"key":"ref_46","first-page":"403","article-title":"Evaluating the uncertainty of area estimates derived from fuzzy land-cover classification","volume":"63","author":"Canters","year":"1997","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"2816","DOI":"10.1016\/j.rse.2010.07.001","article-title":"A scalable approach to mapping annual land cover at 250 m using MODIS time series data: A case study in the Dry Chaco ecoregion of South America","volume":"114","author":"Liu","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_48","first-page":"1449","article-title":"The determination of optimal threshold levels for change detection using various accuracy indices","volume":"54","author":"Fung","year":"1988","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_49","first-page":"419","article-title":"Accuracy assessment of satellite derived land cover data: A review","volume":"60","author":"Janssen","year":"1994","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"3567","DOI":"10.1080\/01431169408954345","article-title":"Ndvi-derived land cover classification at global scales","volume":"15","author":"Defries","year":"1994","journal-title":"Int. J. Remote Sens."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1365","DOI":"10.1080\/014311600210218","article-title":"A comparison of the igbp discover and university of maryland 1 km global land cover products","volume":"21","author":"Hansen","year":"2000","journal-title":"Int. J. Remote Sens."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.rse.2003.11.002","article-title":"Land cover mapping of north and central America\u2014global land cover 2000","volume":"89","author":"Latifovic","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"8739","DOI":"10.3390\/rs6098739","article-title":"Assessing consistency of five global land cover data sets in China","volume":"6","author":"Bai","year":"2014","journal-title":"Remote Sens."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"534","DOI":"10.1016\/j.rse.2006.01.020","article-title":"Exploiting synergies of global land cover products for carbon cycle modeling","volume":"101","author":"Jung","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"P\u00e9rezhoyos, A., Rembold, F., Kerdiles, H., and Gallego, J. (2017). Comparison of global land cover datasets for cropland monitoring. Remote Sens., 9.","DOI":"10.3390\/rs9111118"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"585","DOI":"10.1126\/science.aat0636","article-title":"Global extent of rivers and streams","volume":"361","author":"Allen","year":"2018","journal-title":"Science"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"2607","DOI":"10.1080\/01431161.2012.748992","article-title":"Finer resolution observation and monitoring of global land cover: First mapping results with Landsat tm and ETM+ data","volume":"34","author":"Gong","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"12070","DOI":"10.3390\/rs61212070","article-title":"Global land cover mapping: A review and uncertainty analysis","volume":"6","author":"Congalton","year":"2014","journal-title":"Remote Sens."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1016\/j.isprsjprs.2017.01.016","article-title":"Accuracy assessment of seven global land cover datasets over China","volume":"125","author":"Yang","year":"2017","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_60","first-page":"281","article-title":"Moritoring south Florida wetlands using ERS-1 SAR imagery","volume":"63","author":"Eric","year":"1997","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1016\/j.rse.2006.11.012","article-title":"Mapping of flood dynamics and spatial distribution of vegetation in the amazon floodplain using multitemporal SAR data","volume":"108","author":"Martinez","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1080\/014311601750038857","article-title":"Evaluation of c-band SAR data for wetlands mapping","volume":"22","author":"Baghdadi","year":"2001","journal-title":"Int. J. Remote Sens."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"1196","DOI":"10.1016\/j.rse.2007.08.011","article-title":"The availability of cloud-free Landsat ETM+ data over the conterminous United States and globally","volume":"112","author":"Ju","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_64","first-page":"369","article-title":"Terrestrial vegetation in the coupled human-earth system: Contributions of remote sensing","volume":"33","author":"Defries","year":"2008","journal-title":"Soc. Sci. Electron. Publ."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"2956","DOI":"10.1109\/TGRS.2008.2000630","article-title":"Land use and land cover mapping in the brazilian amazon using polarimetric airborne p-band SAR data","volume":"46","author":"Freitas","year":"2008","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"44003","DOI":"10.1088\/1748-9326\/4\/4\/044003","article-title":"A new map of global urban extent from MODIS satellite data","volume":"4","author":"Schneider","year":"2009","journal-title":"Environ. Res. Lett."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.landurbplan.2012.02.013","article-title":"Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992 to 2008","volume":"106","author":"Liu","year":"2012","journal-title":"Landsc. Urban Plan."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"4095","DOI":"10.1109\/JSTARS.2014.2302855","article-title":"Detecting china\u2019s urban expansion over the past three decades using nighttime light data","volume":"7","author":"Xiao","year":"2014","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/11\/1846\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:31:02Z","timestamp":1760196662000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/11\/1846"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11,21]]},"references-count":68,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2018,11]]}},"alternative-id":["rs10111846"],"URL":"https:\/\/doi.org\/10.3390\/rs10111846","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,11,21]]}}}