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Foundation","award":["42071415"],"award-info":[{"award-number":["42071415"]}]},{"name":"Outstanding Youth Foundation of Henan Natural Science Foundation","award":["2020-ZJ-711"],"award-info":[{"award-number":["2020-ZJ-711"]}]},{"name":"Outstanding Youth Foundation of Henan Natural Science Foundation","award":["2019QZKK0104"],"award-info":[{"award-number":["2019QZKK0104"]}]},{"name":"Outstanding Youth Foundation of Henan Natural Science Foundation","award":["2021YFE0106700"],"award-info":[{"award-number":["2021YFE0106700"]}]},{"name":"Outstanding Youth Foundation of Henan Natural Science Foundation","award":["202300410049"],"award-info":[{"award-number":["202300410049"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Rapid urbanization is an important factor leading to the rise in surface temperature. How to effectively reduce the land surface temperature (LST) has become a significant proposition of city planning. For the exploration of LST and the urban heat island (UHI) effect in Zhengzhou, China, the LST was divided into seven grades, and the main driving factors of LST change and their internal relations were discussed by correlation analysis and gray correlation analysis. The results indicated that LST showed an upward trend from 2005 to 2020, and a mutation occurred in 2013. Compared with 2005, the mean value of LST in 2020 increased by 0.92 \u00b0C, while the percentage of LST-enhanced areas was 22.77. Furthermore, the spatial pattern of UHI was irregularly distributed, gradually spreading from north to south from 2005 to 2020; it showed a large block distribution in the main city and southeast in 2020, while, in the areas where woodlands were concentrated and in the Yellow River Basin, there was an obvious \u201ccold island\u201d effect. In addition, trend analysis and gray correlation analysis revealed that human factors were positively correlated with LST, which intensified the formation of the UHI effect, and the influence of Albedo on LST showed obvious spatial heterogeneity, while the cooling effect of vegetation water was better than that of topography. The research results can deepen the understanding of the driving mechanism of the UHI effect, as well as provide scientific support for improving the quality of the urban human settlement environment.<\/jats:p>","DOI":"10.3390\/rs14174281","type":"journal-article","created":{"date-parts":[[2022,8,31]],"date-time":"2022-08-31T00:13:56Z","timestamp":1661904836000},"page":"4281","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Temporal and Spatial Variation of Land Surface Temperature and Its Driving Factors in Zhengzhou City in China from 2005 to 2020"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7895-9348","authenticated-orcid":false,"given":"Shenghui","family":"Zhou","sequence":"first","affiliation":[{"name":"Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, College of Environment and Planning, Henan University, Kaifeng 475004, China"},{"name":"Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, Kaifeng 475004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dandan","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, College of Environment and Planning, Henan University, Kaifeng 475004, China"},{"name":"Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, Kaifeng 475004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengyao","family":"Zhu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, College of Environment and Planning, Henan University, Kaifeng 475004, China"},{"name":"Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, Kaifeng 475004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weichao","family":"Tang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, College of Environment and Planning, Henan University, Kaifeng 475004, China"},{"name":"Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, Kaifeng 475004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qian","family":"Chi","sequence":"additional","affiliation":[{"name":"Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, College of Environment and Planning, Henan University, Kaifeng 475004, China"},{"name":"Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, Kaifeng 475004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siyu","family":"Ye","sequence":"additional","affiliation":[{"name":"Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, College of Environment and Planning, Henan University, Kaifeng 475004, China"},{"name":"Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, Kaifeng 475004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siqi","family":"Xu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, College of Environment and Planning, Henan University, Kaifeng 475004, China"},{"name":"Key Laboratory of Integrative Prevention of Air Pollution and Ecological Security of Henan Province, Kaifeng 475004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4030-4976","authenticated-orcid":false,"given":"Yaoping","family":"Cui","sequence":"additional","affiliation":[{"name":"Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, College of Environment and Planning, Henan University, Kaifeng 475004, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,8,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1808","DOI":"10.11834\/jrs.20211309","article-title":"Land surface temperature downscaling in urban area: A case study of Beijing","volume":"25","author":"Li","year":"2021","journal-title":"Natl. Remote Sens. Bull."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1778","DOI":"10.11834\/jrs.20211257","article-title":"A downscaling method for ERA5 reanalysis land surface temperature over urban and mountain areas","volume":"25","author":"Zhu","year":"2021","journal-title":"Natl. Remote Sens. Bull."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"7780","DOI":"10.1021\/es304352e","article-title":"Climate change adaptation through urban heat management in Atlanta, Georgia","volume":"47","author":"Stone","year":"2013","journal-title":"Environ. Sci. Technol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"819","DOI":"10.1007\/s41742-021-00356-8","article-title":"Evaluation of the Climate Change Impact on Urban Heat Island Based on Land Surface Temperature and Geospatial Indicators","volume":"15","author":"Halder","year":"2021","journal-title":"Int. J. Environ. Res."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1016\/S0034-4257(03)00079-8","article-title":"Thermal remote sensing of urban climates","volume":"86","author":"Voogt","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1016\/j.rse.2006.02.010","article-title":"Use of impervious surface in urban land-use classification","volume":"102","author":"Lu","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Wang, Z., Sun, D., Hu, C., Wang, Y., and Zhang, J. (2022). Seasonal Contrast and Interactive Effects of Potential Drivers on Land Surface Temperature in the Sichuan Basin, China. Remote Sens., 14.","DOI":"10.3390\/rs14051292"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1016\/j.rse.2003.11.005","article-title":"Estimation of Land Surface Temperature\u2013Vegetation Abundance Relationship for Urban Heat Island Studies","volume":"89","author":"Weng","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1083","DOI":"10.1080\/15481603.2020.1843869","article-title":"Use of Local Climate Zones to investigate surface urban heat islands in Texas","volume":"57","author":"Zhao","year":"2020","journal-title":"GIScience Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/j.compenvurbsys.2018.11.002","article-title":"Application of airborne remote sensing data on mapping local climate zones: Cases of three metropolitan areas of Texas, US","volume":"74","author":"Zhao","year":"2019","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"13687","DOI":"10.5194\/acp-21-13687-2021","article-title":"Modelling spatiotemporal variations of the canopy layer urban heat island in Beijing at the neighbourhood scale","volume":"21","author":"Biggart","year":"2021","journal-title":"Atmos. Chem. Phys."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1016\/S0034-4257(03)00007-5","article-title":"Satellite-measured growth of the urban heat island of Houston, Texas","volume":"85","author":"Streutker","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1016\/j.scs.2018.10.049","article-title":"An Approach to Examining Performances of Cool\/Hot Sources in Mitigating\/Enhancing Land Surface Temperature under Different Temperature Backgrounds Based on Landsat 8 Image","volume":"44","author":"He","year":"2019","journal-title":"Sustain. Cities Soc."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"100700","DOI":"10.1016\/j.uclim.2020.100700","article-title":"Investigating the Diversity of Land Surface Temperature Characteristics in Different Scale Cities Based on Local Climate Zones","volume":"34","author":"Yang","year":"2020","journal-title":"Urban Clim."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"100593","DOI":"10.1016\/j.uclim.2020.100593","article-title":"Examining the nexus between land surface temperature and urban growth in Chattogram Metropolitan area of Bangladesh using long term Landsat series data","volume":"32","author":"Roy","year":"2020","journal-title":"Urban Clim."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"109244","DOI":"10.1016\/j.envres.2020.109244","article-title":"A multi-resolution air temperature model for France from MODIS and Landsat thermal data","volume":"183","author":"Hough","year":"2020","journal-title":"Environ. Res."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.isprsjprs.2021.05.017","article-title":"Estimation of daily mean land surface temperature at global scale using pairs of daytime and nighttime MODIS instantaneous observations","volume":"178","author":"Xing","year":"2021","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"126897","DOI":"10.1016\/j.jclepro.2021.126897","article-title":"Seasonal variation in the effects of urban environmental factors on land surface temperature in a winter city","volume":"299","author":"Wu","year":"2021","journal-title":"J. Clean. Prod."},{"key":"ref_19","first-page":"102342","article-title":"Analysis of land surface temperature variation based on MODIS data a case study of the agricultural pastural ecotone of northern China","volume":"100","author":"Wei","year":"2021","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_20","first-page":"102131","article-title":"Spatially Non-Stationary Effect of Underlying Driving Factors on Surface Urban Heat Islands in Global Major Cities","volume":"90","author":"Li","year":"2020","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1080\/22797254.2017.1318672","article-title":"Detection of ventilation corridors using a spatiotemporal approach aided by remote sensing data","volume":"50","author":"Wicht","year":"2017","journal-title":"Eur. J. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Liu, D., Zhou, S., Wang, L., Chi, Q., Zhu, M., Tang, W., Zhao, X., Xu, S., Ye, S., and Lee, J. (2022). Research on the Planning of an Urban Ventilation Corridor Based on the Urban Underlying Surface Taking Kaifeng City as an Example. Land, 11.","DOI":"10.3390\/land11020206"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"102496","DOI":"10.1016\/j.apgeog.2021.102496","article-title":"Understanding the spatio-temporal pattern of the urban heat island footprint in the context of urbanization, a case study in Beijing, China","volume":"133","author":"Yao","year":"2021","journal-title":"Appl. Geogr."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Zhou, S., Wang, K., Yang, S., Li, W., Zhang, Y., Zhang, B., Fu, Y., Liu, X., Run, Y., and Chubwa, O. (2020). Warming Effort and Energy Budget Difference of Various Human Land Use Intensity: Case Study of Beijing, China. Land, 9.","DOI":"10.3390\/land9090280"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"107845","DOI":"10.1016\/j.ecolind.2021.107845","article-title":"Environmental and anthropogenic drivers of surface urban heat island intensity: A case-study in the Yangtze River Delta, China","volume":"128","author":"Wang","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"819","DOI":"10.1007\/s11442-021-1873-5","article-title":"Effect of human settlements on urban thermal environment and factor analysis based on multi-source data: A case study of Changsha city","volume":"31","author":"Xiong","year":"2021","journal-title":"J. Geogr. Sci."},{"key":"ref_27","first-page":"974","article-title":"The Changing Trend of Heat Island Intensity and Main Influencing Factors during 1993\u20132012 in Xi\u2019an City","volume":"30","author":"Liu","year":"2015","journal-title":"J. Nat. Resour."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Zhao, C., Jensen, J., Weng, Q., and Weaver, R. (2018). A Geographically Weighted Regression Analysis of the Underlying Factors Related to the Surface Urban Heat Island Phenomenon. Remote Sens., 10.","DOI":"10.3390\/rs10091428"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.atmosres.2012.06.006","article-title":"Study of the urban heat island in a coastal Mediterranean City: The case study of Thessaloniki, Greece","volume":"118","author":"Giannaros","year":"2012","journal-title":"Atmos. Res."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"103260","DOI":"10.1016\/j.scs.2021.103260","article-title":"Temporal characteristics of urban heat island and its response to heat waves and energy consumption in the mountainous Chongqing, China","volume":"75","author":"Tian","year":"2021","journal-title":"Sustain. Cities Soc."},{"key":"ref_31","first-page":"1","article-title":"How effective is \u2018greening\u2019 of urban areas in reducing human exposure to ground-level ozone concentrations, UV exposure and the \u2018urban heat island effect\u2019? An updated systematic review","volume":"10","author":"Teri","year":"2021","journal-title":"Environ. Evid."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Ma, Y., Zhao, M., Li, J., Wang, J., and Hu, L. (2021). Cooling Effect of Different Land Cover Types: A Case Study in Xi\u2019an and Xianyang, China. Sustainability, 13.","DOI":"10.3390\/su13031099"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"154264","DOI":"10.1016\/j.scitotenv.2022.154264","article-title":"Quantitative analysis and prediction of urban heat island intensity on urban-rural gradient: A case study of Shanghai","volume":"829","author":"Yi","year":"2022","journal-title":"Sci. Total Environ."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1007\/s12524-019-01062-x","article-title":"Modeling Biophysical Variables and Land Surface Temperature Using the GWR Model: Case Study\u2014Tehran and Its Satellite Cities","volume":"48","author":"Alibakhshi","year":"2020","journal-title":"J. Indian Soc. Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2227","DOI":"10.1007\/s12524-021-01394-7","article-title":"Urban Heat Island Dynamics in Response to Land-Use\/Land-Cover Change in the Coastal City of Mumbai","volume":"49","author":"Mohd","year":"2021","journal-title":"J. Indian Soc. Remote Sens."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"153395","DOI":"10.1016\/j.scitotenv.2022.153395","article-title":"Influences of landform and urban form factors on urban heat island: Comparative case study between Chengdu and Chongqing","volume":"820","author":"Liu","year":"2022","journal-title":"Sci. Total Environ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"102750","DOI":"10.1016\/j.apor.2021.102750","article-title":"Spatiotemporal variations and extreme value analysis of significant wave height in the South China Sea based on 71-year long ERA5 wave reanalysis","volume":"113","author":"Wang","year":"2021","journal-title":"Appl. Ocean Res."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"109335","DOI":"10.1016\/j.buildenv.2022.109335","article-title":"Assessing the impacts of vegetation cover loss on surface temperature, urban heat island and carbon emission in Penang city, Malaysia","volume":"222","author":"Rahaman","year":"2022","journal-title":"Build. Environ."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Zhao, Y., Wu, Q., Wei, P., Zhao, H., Zhang, X., and Pang, C. (2022). Explore the Mitigation Mechanism of Urban Thermal Environment by Integrating Geographic Detector and Standard Deviation Ellipse (SDE). Remote Sens., 14.","DOI":"10.3390\/rs14143411"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Zhao, H., Zhang, H., Miao, C., Ye, X., and Min, M. (2018). Linking Heat Source\u2013Sink Landscape Patterns with Analysis of Urban Heat Islands: Study on the Fast-Growing Zhengzhou City in Central China. Remote Sens., 10.","DOI":"10.3390\/rs10081268"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"105209","DOI":"10.1016\/j.jastp.2020.105209","article-title":"Assessment of seasonal climate transference and regional influential linkages to land cover\u2013Investigation in a river basin","volume":"199","author":"Geeta","year":"2020","journal-title":"J. Atmos. Sol.-Terr. Phys."},{"key":"ref_42","first-page":"3265","article-title":"Impact of climate change on rainfall variability in the Blue Nile basin","volume":"61","author":"Mostafa","year":"2021","journal-title":"Alex. Eng. J."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Zhu, M., Liu, D., Tang, W., Chi, Q., Zhao, X., Xu, S., Ye, S., Wang, Y., Cui, Y., and Zhou, S. (2022). Exploring the Ecological Climate Effects Based on Five Land Use Types: A Case Study of the Huang-Huai-Hai River Basin in China. Land, 11.","DOI":"10.3390\/land11020265"},{"key":"ref_44","first-page":"66","article-title":"Extraction of urban impervious surface information from TM image","volume":"25","author":"Li","year":"2013","journal-title":"Remote Sens. Nat. Resour."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"153823","DOI":"10.1016\/j.scitotenv.2022.153823","article-title":"Influences of impervious surfaces on ecological risks and controlling strategies in rapidly urbanizing regions","volume":"825","author":"Hou","year":"2022","journal-title":"Sci. Total Environ."},{"key":"ref_46","first-page":"279","article-title":"Study on long-term change of global spectral surface albedo","volume":"17","author":"He","year":"2022","journal-title":"J. Atmos. Environ. Opt."},{"key":"ref_47","first-page":"306","article-title":"Research on the Influence of Fund Based on Pearson Study of Fund Influence Based on Pearson Correlation Analysis and Regression Analysis Method","volume":"38","author":"Mao","year":"2017","journal-title":"J. Zhejiang Sci-Tech Univ. (Soc. Sci. Ed.)"},{"key":"ref_48","first-page":"25","article-title":"Grey analysis of the urban heat island effect factors of the medium-sized city of Chuxiong on Yunnan Plateau","volume":"28","author":"He","year":"2009","journal-title":"Prog. Geogr."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"876","DOI":"10.1007\/s11769-020-1152-x","article-title":"Land Surface Albedo Variations in Sanjiang Plain from 1982 to 2015: Assessing with GLASS Data","volume":"30","author":"Li","year":"2020","journal-title":"Chin. Geogr. Sci."},{"key":"ref_50","first-page":"648","article-title":"Spatial and Temporal Variations of Land Surface Albedo and Its Influencing Factors Based on MODIS Data","volume":"26","author":"Gao","year":"2021","journal-title":"Clim. Environ. Res."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Feng, Y., Hong, Z., Cheng, J., Jia, L., and Tan, J. (2017). Low Carbon-Oriented Optimal Reliability Design with Interval Product Failure Analysis and Grey Correlation Analysis. Sustainability, 9.","DOI":"10.3390\/su9030369"},{"key":"ref_52","first-page":"126","article-title":"Misuse of gray incidence analysis in variable selection","volume":"22","author":"Guo","year":"2002","journal-title":"Syst. Eng. Theory Pract."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"He, W., Cao, S., Du, M., Hu, D., Mo, Y., Liu, M., Zhao, J., and Cao, Y. (2021). How Do Two- and Three-Dimensional Urban Structures Impact Seasonal Land Surface Temperatures at Various Spatial Scales? A Case Study for the Northern Part of Brooklyn, New York, USA. Remote Sens., 13.","DOI":"10.3390\/rs13163283"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"153652","DOI":"10.1016\/j.scitotenv.2022.153652","article-title":"Combining GOES-R and ECOSTRESS land surface temperature data to investigate diurnal variations of surface urban heat island","volume":"823","author":"Chang","year":"2022","journal-title":"Sci. Total Environ."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1111\/1477-8947.12245","article-title":"Achieving sustainable development goals through the study of urban heat island changes and its effective factors using spatio-temporal techniques: The case study (Tehran city)","volume":"Volume 46","author":"Maryam","year":"2022","journal-title":"Natural Resources Forum"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/17\/4281\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:20:09Z","timestamp":1760142009000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/17\/4281"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,30]]},"references-count":55,"journal-issue":{"issue":"17","published-online":{"date-parts":[[2022,9]]}},"alternative-id":["rs14174281"],"URL":"https:\/\/doi.org\/10.3390\/rs14174281","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8,30]]}}}