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To examine the spatiotemporal patterns of LST changes and the internal mechanisms driven by multiple factors, we used a trend analysis method on TRIMS LST data from 2000 to 2020 in the Qingling-Daba Mountains. The optimal parameter geographic detector (OPGD) model was used to detect the influence of twelve factors, including elevation, precipitation, albedo, relative humidity (RH) and normalized difference vegetation index (NDVI), on the spatial distribution of LST, as well as to explore the dominant factors affecting LST differentiation in the study area. The results showed that: (1) From 2000 to 2020, the average annual LST of the Qinling-Daba Mountains was 18.17 \u00b0C. The warming trend was obvious (0.034 \u00b0C\/a), and the warming effect at nighttime (0.066 \u00b0C\/a) was stronger than that during daytime (0.0004 \u00b0C\/a). The difference between day and night temperature (DIF) was decreasing. (2) The seasonal changes in LST and DIF in the Qinling-Daba Mountains were significant, and the spatial distribution of their average values in the summer was slightly larger and fluctuated more than in the other seasons. (3) Elevation was the main driving factor affecting the spatial distribution of LST, with the contribution scores of 62.9% in the daytime and 92.7% in the nighttime. The controlling effects of these factors were generally stronger in the nighttime than in the daytime. (4) Nighttime elevation had the strongest interaction with precipitation (contribution score of 95%), while daytime elevation had the strongest interaction with albedo (contribution rate of 83%). We revealed the temporal and spatial variation in LST in the Qinling-Daba Mountains since 2000 and explored the main driving factors involved, thereby improving our understanding of LST changes in the Qinling-Daba Mountains. This study can provide a scientific basis for distinguishing dominant drivers of LST dynamics in the Qinling-Daba Mountains.<\/jats:p>","DOI":"10.3390\/rs15040878","type":"journal-article","created":{"date-parts":[[2023,2,6]],"date-time":"2023-02-06T05:29:05Z","timestamp":1675661345000},"page":"878","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Distinguishing Dominant Drivers on LST Dynamics in the Qinling-Daba Mountains in Central China from 2000 to 2020"],"prefix":"10.3390","volume":"15","author":[{"given":"Mengzhu","family":"Xi","sequence":"first","affiliation":[{"name":"Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Regions, Ministry of Education, College of Environment and Planning, Henan University, Kaifeng 475004, China"},{"name":"Henan Key Laboratory of Earth System Observation and Modeling, Henan University, Kaifeng 475004, China"},{"name":"Henan Key Laboratory of Integrated Air Pollution Control and Ecological Security, Kaifeng 475004, China"}]},{"given":"Wen","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Regions, Ministry of Education, College of Environment and Planning, Henan University, Kaifeng 475004, China"},{"name":"Henan Key Laboratory of Earth System Observation and Modeling, Henan University, Kaifeng 475004, China"},{"name":"Henan Key Laboratory of Integrated Air Pollution Control and Ecological Security, Kaifeng 475004, China"}]},{"given":"Wanlong","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Regions, Ministry of Education, College of Environment and Planning, Henan University, Kaifeng 475004, China"},{"name":"Henan Key Laboratory of Earth System Observation and Modeling, Henan University, Kaifeng 475004, China"},{"name":"Henan Key Laboratory of Integrated Air Pollution Control and Ecological Security, Kaifeng 475004, China"}]},{"given":"Haodong","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Regions, Ministry of Education, College of Environment and Planning, Henan University, Kaifeng 475004, China"},{"name":"Henan Key Laboratory of Earth System Observation and Modeling, Henan University, Kaifeng 475004, China"},{"name":"Henan Key Laboratory of Integrated Air Pollution Control and Ecological Security, Kaifeng 475004, China"}]},{"given":"Hui","family":"Zheng","sequence":"additional","affiliation":[{"name":"Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Regions, Ministry of Education, College of Environment and Planning, Henan University, Kaifeng 475004, China"},{"name":"Henan Key Laboratory of Earth System Observation and Modeling, Henan University, Kaifeng 475004, China"},{"name":"Henan Key Laboratory of Integrated Air Pollution Control and Ecological Security, Kaifeng 475004, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,2,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"937","DOI":"10.1016\/j.scitotenv.2017.10.226","article-title":"Determination of annual and seasonal daytime and nighttime trends of MODIS LST over Greece\u2014Climate change implications","volume":"616","author":"Eleftheriou","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1709","DOI":"10.1016\/j.scib.2020.06.009","article-title":"Consistency of global warming trends strengthened since 1880s","volume":"65","author":"Li","year":"2020","journal-title":"Sci. Bull."},{"key":"ref_3","unstructured":"Stocker, T.F., Qin, D., Plattner, G.K., Tignor, M.M., Allen, S.K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P.M. (2013). Climate Change 2013: The Physical Science Basis: Intergovernmental Panel on Climate Change Working Group I Contribution to the Fifth Assessment Report (AR5), Cambridge University Press."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"105314","DOI":"10.1016\/j.landusepol.2021.105314","article-title":"Effect of urban growth pattern on land surface temperature in China: A multi-scale landscape analysis of 338 cities","volume":"103","author":"Rao","year":"2021","journal-title":"Land Use Policy"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1016\/j.landusepol.2017.11.023","article-title":"Analyzing long-term spatio-temporal patterns of land surface temperature in response to rapid urbanization in the mega-city of Tehran","volume":"71","author":"Tayyebi","year":"2018","journal-title":"Land Use Policy"},{"key":"ref_6","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_7","doi-asserted-by":"crossref","first-page":"6413654","DOI":"10.1155\/2020\/6413654","article-title":"Change Analysis of Spring Vegetation Green-Up Date in Qinba Mountains under the Support of Spatiotemporal Data Cube","volume":"2020","author":"Li","year":"2020","journal-title":"J. Sens."},{"key":"ref_8","first-page":"102537","article-title":"The spatiotemporal pattern and influencing factors of land surface temperature change in China from 2003 to 2019","volume":"104","author":"Song","year":"2021","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"102443","DOI":"10.1016\/j.scs.2020.102443","article-title":"Impact of urban morphology and landscape characteristics on spatiotemporal heterogeneity of land surface temperature","volume":"63","author":"Guo","year":"2020","journal-title":"Sustain. Cities Soc."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/j.rse.2018.06.010","article-title":"Seasonal contrast of the dominant factors for spatial distribution of land surface temperature in urban areas","volume":"215","author":"Peng","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1016\/j.scitotenv.2018.04.105","article-title":"Spatial-temporal change of land surface temperature across 285 cities in China: An urban-rural contrast perspective","volume":"635","author":"Peng","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"108901","DOI":"10.1016\/j.agrformet.2022.108901","article-title":"Impacts of afforestation on land surface temperature in different regions of China","volume":"318","author":"Yuan","year":"2022","journal-title":"Agric. For. Meteorol."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Zhou, S., Liu, D., Zhu, M., Tang, W., Chi, Q., Ye, S., Xu, S., and Cui, Y. (2022). Temporal and Spatial Variation of Land Surface Temperature and Its Driving Factors in Zhengzhou City in China from 2005 to 2020. Remote Sens., 14.","DOI":"10.3390\/rs14174281"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"635","DOI":"10.1016\/j.rse.2018.12.008","article-title":"A practical method for reducing terrain effect on land surface temperature using random forest regression","volume":"221","author":"Zhao","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_15","first-page":"28","article-title":"Application of Landsat 8 imagery to regional-scale assessment of lake water quality","volume":"51","author":"Urbanski","year":"2016","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1808","DOI":"10.1080\/01431161.2018.1466082","article-title":"The impact of the terrain effect on land surface temperature variation based on Landsat-8 observations in mountainous areas","volume":"40","author":"He","year":"2018","journal-title":"Int. J. Remote Sens."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"113970","DOI":"10.1016\/j.jenvman.2021.113970","article-title":"Modeling relationship between land surface temperature anomaly and environmental factors using GEE and Giovanni","volume":"302","author":"Jamali","year":"2022","journal-title":"J. Environ. Manag."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"102346","DOI":"10.1016\/j.scs.2020.102346","article-title":"Impact of urban expansion on land surface temperature in Fuzhou, China using Landsat imagery","volume":"61","author":"Du","year":"2020","journal-title":"Sustain. Cities Soc."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"670","DOI":"10.3390\/f11060670","article-title":"The Influence of Deforestation on Land Surface Temperature\u2014A Case Study of Perak and Kedah, Malaysia","volume":"11","author":"Shafrina","year":"2020","journal-title":"Forests"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.landurbplan.2018.10.023","article-title":"Multi-year comparison of the effects of spatial pattern of urban green spaces on urban land surface temperature","volume":"184","author":"Masoudi","year":"2019","journal-title":"Landscape Urban Plan."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"100790","DOI":"10.1016\/j.uclim.2021.100790","article-title":"Assessment of urban cooling effect based on downscaled land surface temperature: A case study for Fukuoka, Japan","volume":"36","author":"Peng","year":"2021","journal-title":"Urban Clim."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"126930","DOI":"10.1016\/j.ufug.2020.126930","article-title":"Urban Landscape Heterogeneity Influences the Relationship between Tree Canopy and Land Surface Temperature","volume":"57","author":"Jung","year":"2021","journal-title":"Urban For. Urban Green."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"10451","DOI":"10.1038\/s41598-020-67423-6","article-title":"Correlation analysis of land surface temperature and topographic elements in Hangzhou, China","volume":"10","author":"Peng","year":"2020","journal-title":"Sci. Rep."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"221","DOI":"10.3189\/172756401781818833","article-title":"The albedo of Arctic leads in summer","volume":"33","author":"Pegau","year":"2017","journal-title":"Ann. Glaciol."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1016\/j.isprsjprs.2018.03.012","article-title":"Does quality control matter? Surface urban heat island intensity variations estimated by satellite-derived land surface temperature products","volume":"139","author":"Lai","year":"2018","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1007\/s41748-020-00155-9","article-title":"Assessing Land Use\u2013Land Cover Change and Its Impact on Land Surface Temperature Using LANDSAT Data: A Comparison of Two Urban Areas in India","volume":"4","author":"Mukherjee","year":"2020","journal-title":"Earth Syst. Environ."},{"key":"ref_27","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_28","doi-asserted-by":"crossref","first-page":"eabb1981","DOI":"10.1126\/sciadv.abb1981","article-title":"Biophysical impacts of Earth greening largely controlled by aerodynamic resistance","volume":"6","author":"Chen","year":"2020","journal-title":"Sci. Adv."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"154570","DOI":"10.1016\/j.scitotenv.2022.154570","article-title":"Does urban climate follow urban form? Analysing intraurban LST trajectories versus urban form trends in 3 cities with different background climates","volume":"830","author":"Inostroza","year":"2022","journal-title":"Sci. Total Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"2261","DOI":"10.1002\/2014JG002820","article-title":"Satellite evidence for significant biophysical consequences of the \u201cGrain for Green\u201d Program on the Loess Plateau in China","volume":"119","author":"Xiao","year":"2014","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"9245","DOI":"10.1038\/s41598-020-66168-6","article-title":"Spatial relationship between land-use\/land-cover change and land surface temperature in the Dongting Lake area, China","volume":"10","author":"Tan","year":"2020","journal-title":"Sci. Rep."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"105429","DOI":"10.1016\/j.atmosres.2020.105429","article-title":"Spatiotemporal variations of extreme precipitation and its potential driving factors in China\u2019s North-South Transition Zone during 1960\u20132017","volume":"252","author":"Wang","year":"2021","journal-title":"Atmos. Res."},{"key":"ref_33","first-page":"13","article-title":"Spatiotemporal variability of temperature in northern and southern Qinling Mountains and its influence on climatic boundary","volume":"73","author":"Li","year":"2018","journal-title":"Acta. Geogr. Sin."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"134579","DOI":"10.1016\/j.scitotenv.2019.134579","article-title":"Trends and drivers of land surface temperature along the urban-rural gradients in the largest urban agglomeration of China","volume":"711","author":"Jia","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"e02190","DOI":"10.1016\/j.gecco.2022.e02190","article-title":"Variation model of north-south plant species diversity in the Qinling-Daba Mountains in China","volume":"38","author":"Zhang","year":"2022","journal-title":"Glob. Ecol. Conserv."},{"key":"ref_36","first-page":"305","article-title":"Ten major scientific issues concerning the study of China\u2019s north- south transitional zone","volume":"38","author":"Zhang","year":"2019","journal-title":"Prog. Geogr."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"112437","DOI":"10.1016\/j.rse.2021.112437","article-title":"A practical reanalysis data and thermal infrared remote sensing data merging (RTM) method for reconstruction of a 1-km all-weather land surface temperature","volume":"260","author":"Zhang","year":"2021","journal-title":"Remote Sens. Environ."},{"key":"ref_38","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_39","doi-asserted-by":"crossref","first-page":"113181","DOI":"10.1016\/j.rse.2022.113181","article-title":"Evaluating global and regional land warming trends in the past decades with both MODIS and ERA5-Land land surface temperature data","volume":"280","author":"Wang","year":"2022","journal-title":"Remote Sens. Environ."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"2250","DOI":"10.1002\/joc.5331","article-title":"Assessment of climate change trends over the Loess Plateau in China from 1901 to 2100","volume":"38","author":"Peng","year":"2018","journal-title":"Int. J. Climatol."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1038\/s41597-020-0369-y","article-title":"The first high-resolution meteorological forcing dataset for land process studies over China","volume":"7","author":"He","year":"2020","journal-title":"Sci. Data"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/j.isprsjprs.2014.09.002","article-title":"Global land cover mapping at 30m resolution: A POK-based operational approach","volume":"103","author":"Chen","year":"2015","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"107648","DOI":"10.1016\/j.ecolind.2021.107648","article-title":"Impacts of climate change and anthropogenic activities on vegetation change: Evidence from typical areas in China","volume":"126","author":"Zheng","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_44","first-page":"233","article-title":"Study of the temporal and spatial evolution law of land surface temperature in China","volume":"32","author":"Zhao","year":"2020","journal-title":"Remote Sens. Land Resour."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1080\/13658810802443457","article-title":"Geographical Detectors-Based Health Risk Assessment and its Application in the Neural Tube Defects Study of the Heshun Region, China","volume":"24","author":"Wang","year":"2010","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"134003","DOI":"10.1016\/j.chemosphere.2022.134003","article-title":"Spatiotemporal PM2.5 estimations in China from 2015 to 2020 using an improved gradient boosting decision tree","volume":"296","author":"He","year":"2022","journal-title":"Chemosphere"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Chen, W., Meng, H., Song, H., and Zheng, H. (2022). Progress in Dust Modelling, Global Dust Budgets, and Soil Organic Carbon Dynamics. Land, 11.","DOI":"10.3390\/land11020176"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1016\/j.rse.2018.11.024","article-title":"Clarifying the role of radiative mechanisms in the spatio-temporal changes of land surface temperature across the Horn of Africa","volume":"221","author":"Abera","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1023\/A:1010790203146","article-title":"An amplified signal of climatic change in soil temperatures during the last century at Irkutsk, Russia","volume":"49","author":"Zhang","year":"2001","journal-title":"Clim. Chang."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1292","DOI":"10.3390\/rs14051292","article-title":"Seasonal Contrast and Interactive Effects of Potential Drivers on Land Surface Temperature in the Sichuan Basin, China","volume":"14","author":"Wang","year":"2022","journal-title":"Remote Sens."},{"key":"ref_51","first-page":"1713","article-title":"Spatiotemporal diversity of land surface temperature in China from 2001 to 2020","volume":"77","author":"Tian","year":"2022","journal-title":"Acta Geogr. Sin."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"103979","DOI":"10.1016\/j.landurbplan.2020.103979","article-title":"Within-city spatial and temporal heterogeneity of air temperature and its relationship with land surface temperature","volume":"206","author":"Cao","year":"2021","journal-title":"Landsc. Urban Plan."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"120392","DOI":"10.1016\/j.envpol.2022.120392","article-title":"Effects of anthropogenic precursor emissions and meteorological conditions on PM2.5 concentrations over the \u201c2+26\u201d cities of northern China","volume":"315","author":"Dong","year":"2022","journal-title":"Environ. Pollut."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"157562","DOI":"10.1016\/j.scitotenv.2022.157562","article-title":"Optimal ranges of social-environmental drivers and their impacts on vegetation dynamics in Kazakhstan","volume":"847","author":"Venkatesh","year":"2022","journal-title":"Sci. Total Environ."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"111931","DOI":"10.1016\/j.rse.2020.111931","article-title":"Reconstruction of daytime land surface temperatures under cloud-covered conditions using integrated MODIS\/Terra land products and MSG geostationary satellite data","volume":"247","author":"Zhao","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.isprsjprs.2018.04.005","article-title":"A two-step framework for reconstructing remotely sensed land surface temperatures contaminated by cloud","volume":"141","author":"Zeng","year":"2018","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"104166","DOI":"10.1016\/j.scs.2022.104166","article-title":"Modeling the Surface Urban Heat Island (SUHI) to study of its relationship with variations in the thermal field and with the indices of land use in the metropolitan area of Granada (Spain)","volume":"87","year":"2022","journal-title":"Sustain. Cities Soc."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"6501","DOI":"10.1109\/JSTARS.2021.3089851","article-title":"Spatiotemporal Patterns of Land Surface Temperature Change in the Tibetan Plateau Based on MODIS\/Terra Daily Product From 2000 to 2018","volume":"14","author":"Yang","year":"2021","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Zhou, D., Xiao, J., Bonafoni, S., Berger, C., Deilami, K., Zhou, Y., Frolking, S., Yao, R., Qiao, Z., and Sobrino, J.A. (2018). Satellite remote sensing of surface urban heat islands: Progress, challenges, and perspectives. Remote Sens., 11.","DOI":"10.3390\/rs11010048"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1080\/10106049.2016.1155657","article-title":"Land surface temperature and emissivity estimation for Urban Heat Island assessment using medium- and low-resolution space-borne sensors: A review","volume":"32","author":"Mohamed","year":"2016","journal-title":"Geocarto Int."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/4\/878\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T18:24:50Z","timestamp":1760120690000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/4\/878"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,5]]},"references-count":60,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2023,2]]}},"alternative-id":["rs15040878"],"URL":"https:\/\/doi.org\/10.3390\/rs15040878","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2,5]]}}}