{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T19:19:20Z","timestamp":1774379960846,"version":"3.50.1"},"reference-count":65,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2022,6,21]],"date-time":"2022-06-21T00:00:00Z","timestamp":1655769600000},"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":["42001377"],"award-info":[{"award-number":["42001377"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["CAS-WX2021SF-0106-03"],"award-info":[{"award-number":["CAS-WX2021SF-0106-03"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["CAS-WX2022SDC-XK18"],"award-info":[{"award-number":["CAS-WX2022SDC-XK18"]}],"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":["42001377"],"award-info":[{"award-number":["42001377"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["CAS-WX2021SF-0106-03"],"award-info":[{"award-number":["CAS-WX2021SF-0106-03"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["CAS-WX2022SDC-XK18"],"award-info":[{"award-number":["CAS-WX2022SDC-XK18"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Chinese Academy of Sciences, Construction of Scientific Data Center System","award":["42001377"],"award-info":[{"award-number":["42001377"]}]},{"name":"Chinese Academy of Sciences, Construction of Scientific Data Center System","award":["CAS-WX2021SF-0106-03"],"award-info":[{"award-number":["CAS-WX2021SF-0106-03"]}]},{"name":"Chinese Academy of Sciences, Construction of Scientific Data Center System","award":["CAS-WX2022SDC-XK18"],"award-info":[{"award-number":["CAS-WX2022SDC-XK18"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The start of the growing season (SOS) is a vital ecological indicator for climate change and the terrestrial ecosystem. Previous studies have reported that the SOS over the Northern Hemisphere (NH) has experienced remarkable changes in the past few decades. However, because of the different spatial and temporal coverages of existing SOS studies, a coherent and robust account for SOS changes in the NH has been lacking. Using satellite-retrieved vegetation-phenology datasets, ground observations, and several auxiliary datasets, this study evaluated the performance of the latest MODIS vegetation-dynamics dataset (MCD12Q2-C6) and explored the distribution and attribution of the SOS to climate change over the NH for the period 2001\u20132018. The validation results using the Chinese Ecosystem Research Network (CERN) and Lilac-leafing observations (Lilac) displayed that the MCD12Q2-C6 has a good performance in SOS monitoring over the NH mid-latitudes. Meanwhile, evidence from MCD12Q2-C6 pointed out that the SOS was advanced by 2.08 days on average over the NH during 2001\u20132018, especially for Europe, China, and Alaska, United States. In addition, detailed-sensitivity analysis showed that the increased surface air temperature (Ts) (\u22121.21 \u00b1 0.34 days \u00b0C\u22121) and reduced snow-cover fraction (Sc) (0.62 \u00b1 0.29 days%\u22121) were the key driving factors of the observed SOS changes over the NH during 2001\u20132018. Compared with Ts and Sc, the role of total precipitation (Pt) was minor in dominating the spring vegetation-phenology changes at the same period. The findings of this study contribute to our understanding of the responses of SOS to the competing changes of Ts, Pt, and Sc over the NH.<\/jats:p>","DOI":"10.3390\/rs14132964","type":"journal-article","created":{"date-parts":[[2022,6,22]],"date-time":"2022-06-22T04:12:01Z","timestamp":1655871121000},"page":"2964","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Distribution and Attribution of Earlier Start of the Growing Season over the Northern Hemisphere from 2001\u20132018"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0092-8004","authenticated-orcid":false,"given":"Xiaona","family":"Chen","sequence":"first","affiliation":[{"name":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, National Earth System Science Data Center, Beijing 100101, China"},{"name":"Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaping","family":"Yang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, National Earth System Science Data Center, Beijing 100101, China"},{"name":"Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jia","family":"Du","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, National Earth System Science Data Center, Beijing 100101, China"},{"name":"Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,6,21]]},"reference":[{"key":"ref_1","unstructured":"Friedl, M., Gray, J., and Sulla-Menashe, D. (2021, September 15). MCD12Q2 MODIS\/Terra+Aqua Land Cover Dynamics Yearly L3 Global 500m SIN Grid V006. NASA EOSDIS Land Processes Distributed Active Archive Center, Available online: https:\/\/lpdaac.usgs.gov\/products\/mcd12q2v006\/."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.ecolind.2012.11.010","article-title":"Ecosystem functional units characterized by satellite observed phenology and productivity gradients: A case study for Europe","volume":"27","author":"Ivits","year":"2013","journal-title":"Ecol. Indic."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"125646","DOI":"10.1016\/j.jhydrol.2020.125646","article-title":"Vegetation controls on surface energy partitioning and water budget over China","volume":"600","author":"Lan","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1016\/j.rse.2014.06.022","article-title":"The seasonal cycle of satellite chlorophyll fluorescence observations and its relationship to vegetation phenology and ecosystem atmosphere carbon exchange","volume":"152","author":"Joiner","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"887","DOI":"10.1126\/science.1173004","article-title":"Phenology Feedbacks on Climate Change","volume":"324","author":"Rutishauser","year":"2009","journal-title":"Science"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"594","DOI":"10.1111\/gcb.12391","article-title":"Vegetation controls on northern high latitude snow-albedo feedback: Observations and CMIP5 model simulations","volume":"20","author":"Loranty","year":"2014","journal-title":"Glob. Chang. Biol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.ecolind.2014.11.004","article-title":"Temperature sensitivity of spring vegetation phenology correlates to within-spring warming speed over the Northern Hemisphere","volume":"50","author":"Wang","year":"2015","journal-title":"Ecol. Indic."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1111\/j.1365-2486.2011.02562.x","article-title":"Terrestrial biosphere models need better representation of vegetation phenology: Results from the North American Carbon Program Site Synthesis","volume":"18","author":"Richardson","year":"2012","journal-title":"Glob. Chang. Biol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"104618","DOI":"10.1016\/j.still.2020.104618","article-title":"Mapping cation exchange capacity using a quasi-3d joint inversion of EM38 and EM31 data","volume":"200","author":"Zhao","year":"2020","journal-title":"Soil Tillage Res."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1347","DOI":"10.2136\/sssaj2018.03.0100","article-title":"A Vis-NIR Spectral Library to Predict Clay in Australian Cotton Growing Soil","volume":"82","author":"Zhao","year":"2018","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"13521","DOI":"10.1073\/pnas.0506179102","article-title":"Satellite-observed photosynthetic trends across boreal North America associated with climate and fire disturbance","volume":"102","author":"Goetz","year":"2005","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2988","DOI":"10.1002\/2014GL059651","article-title":"Coupling dry deposition to vegetation phenology in the Community Earth System Model: Implications for the simulation of surface O3","volume":"41","author":"Heald","year":"2014","journal-title":"Geophys. Res. Lett."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"10077","DOI":"10.1175\/JCLI-D-13-00040.1","article-title":"How Important is Vegetation Phenology for European Climate and Heat Waves?","volume":"26","author":"Lorenz","year":"2013","journal-title":"J. Clim."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1007\/s00484-017-1371-8","article-title":"The rise of phenology with climate change: An evaluation of IJB publications","volume":"61","author":"Donnelly","year":"2017","journal-title":"Int. J. Biometeorol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"150038","DOI":"10.1038\/sdata.2015.38","article-title":"Lilac and honeysuckle phenology data 1956\u20132014","volume":"2","author":"Rosemartin","year":"2015","journal-title":"Sci. Data"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1111\/j.1365-2486.2005.01097.x","article-title":"Onset of spring starting earlier across the Northern Hemisphere","volume":"12","author":"Schwartz","year":"2006","journal-title":"Glob. Chang. Biol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2385","DOI":"10.1111\/j.1365-2486.2011.02397.x","article-title":"Phenology shifts at start vs. end of growing season in temperate vegetation over the Northern Hemisphere for the period 1982\u20132008","volume":"17","author":"Jeong","year":"2011","journal-title":"Glob. Chang. Biol."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Wang, L., and Fensholt, R. (2017). Temporal Changes in Coupled Vegetation Phenology and Productivity are Biome-Specific in the Northern Hemisphere. Remote Sens., 9.","DOI":"10.3390\/rs9121277"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2093","DOI":"10.3390\/rs5052093","article-title":"Divergent Arctic-Boreal Vegetation Changes between North America and Eurasia over the Past 30 Years","volume":"5","author":"Bi","year":"2013","journal-title":"Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1038\/nclimate1465","article-title":"Plot-scale evidence of tundra vegetation change and links to recent summer warming","volume":"2","author":"Elmendorf","year":"2012","journal-title":"Nat. Clim. Chang."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"4304","DOI":"10.3390\/rs5094304","article-title":"Trends in the Start of the Growing Season in Fennoscandia 1982\u20132011","volume":"5","author":"Karlsen","year":"2013","journal-title":"Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1255","DOI":"10.1111\/geb.12210","article-title":"Recent spring phenology shifts in western Central Europe based on multiscale observations","volume":"23","author":"Fu","year":"2014","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"ACL 4-1","DOI":"10.1029\/2001JD001075","article-title":"Evidence for a persistent and extensive greening trend in Eurasia inferred from satellite vegetation index data","volume":"107","author":"Bogaert","year":"2002","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1038\/17709","article-title":"Growing season extended in Europe","volume":"397","author":"Menzel","year":"1999","journal-title":"Nature"},{"key":"ref_25","first-page":"206","article-title":"Spatiotemporal patterns of vegetation phenology change and relationships with climate in the two transects of East China","volume":"10","author":"Wang","year":"2017","journal-title":"Glob. Ecol. Conserv."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"6966","DOI":"10.1073\/pnas.1616608114","article-title":"New perspective on spring vegetation phenology and global climate change based on Tibetan Plateau tree-ring data","volume":"114","author":"Yang","year":"2017","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1007\/s00484-014-0817-5","article-title":"Assessing phenological change and climatic control of alpine grasslands in the Tibetan Plateau with MODIS time series","volume":"59","author":"Wang","year":"2015","journal-title":"Int. J. Biometeorol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"4309","DOI":"10.1073\/pnas.1210423110","article-title":"Green-up dates in the Tibetan Plateau have continuously advanced from 1982 to 2011","volume":"110","author":"Zhang","year":"2013","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1111\/j.1654-109X.2010.01100.x","article-title":"Remotely sensed vegetation phenology for describing and predicting the biomes of South Africa","volume":"14","author":"Konrad","year":"2011","journal-title":"Appl. Veg. Sci."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1805","DOI":"10.1016\/j.rse.2010.04.005","article-title":"Land surface phenology from MODIS: Characterization of the Collection 5 global land cover dynamics product","volume":"114","author":"Ganguly","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_31","unstructured":"Didan, K., and Barreto, A. (2020, September 15). NASA MEaSUREs Vegetation Index and Phenology (VIP) Phenology EVI2 Yearly Global 0.05Deg CMG. NASA EOSDIS Land Processes Distributed Active Archive Center, Available online: https:\/\/lpdaac.usgs.gov\/news\/nasa-vegetation-index-and-phenology-vip-data-released\/."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1016\/j.rse.2018.06.047","article-title":"Generation and evaluation of the VIIRS land surface phenology product","volume":"216","author":"Zhang","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"111685","DOI":"10.1016\/j.rse.2020.111685","article-title":"Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery","volume":"240","author":"Bolton","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1263","DOI":"10.1016\/j.ecolind.2015.09.012","article-title":"Phenologic metrics derived from MODIS NDVI as indicators for Plant Available Water-holding Capacity","volume":"60","author":"Araya","year":"2016","journal-title":"Ecol. Indic."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"527","DOI":"10.1016\/j.ecolind.2018.07.060","article-title":"Assessment of vegetation degradation in mountainous pastures of the Western Tien-Shan, Kyrgyzstan, using eMODIS NDVI","volume":"95","author":"Zhumanova","year":"2018","journal-title":"Ecol. Indic."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1080\/01431161.2014.994719","article-title":"Comparison of vegetation phenological metrics extracted from GIMMS NDVIg and MERIS MTCI data sets over China","volume":"36","author":"He","year":"2015","journal-title":"Int. J. Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"3495","DOI":"10.1080\/01431160802562255","article-title":"A Global land surface phenology trends from GIMMS database","volume":"30","author":"Julien","year":"2009","journal-title":"Int. J. Remote Sens."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"2389","DOI":"10.1038\/s41467-019-10235-8","article-title":"No trends in spring and autumn phenology during the global warming hiatus","volume":"10","author":"Wang","year":"2019","journal-title":"Nat. Commun."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1038\/nature15402","article-title":"Declining global warming effects on the phenology of spring leaf unfolding","volume":"526","author":"Fu","year":"2015","journal-title":"Nature"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"3414","DOI":"10.1111\/gcb.12950","article-title":"Codominant water control on global interannual variability and trends in land surface phenology and greenness","volume":"21","author":"Forkel","year":"2015","journal-title":"Glob. Chang. Biol."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"105974","DOI":"10.1016\/j.ecolind.2019.105974","article-title":"Effects of spring and summer extreme climate events on the autumn phenology of different vegetation types of Inner Mongolia, China, from 1982 to 2015","volume":"111","author":"Ying","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"106260","DOI":"10.1016\/j.ecolind.2020.106260","article-title":"Diverse effects of climate at different times on grassland phenology in mid-latitude of the Northern Hemisphere","volume":"113","author":"Ren","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"034042","DOI":"10.1088\/1748-9326\/ab6d39","article-title":"Observed earlier start of the growing season from middle to high latitudes across the Northern Hemisphere snow-covered landmass for the period 2001\u20132014","volume":"15","author":"Chen","year":"2020","journal-title":"Environ. Res. Lett."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"3635","DOI":"10.1111\/gcb.12954","article-title":"Temperature and snowfall trigger alpine vegetation green-up on the world\u2019s roof","volume":"21","author":"Chen","year":"2015","journal-title":"Glob. Chang. Biol."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1111\/gcb.12362","article-title":"Consistent response of vegetation dynamics to recent climate change in tropical mountain regions","volume":"20","author":"Krishnaswamy","year":"2014","journal-title":"Glob. Chang. Biol."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"108211","DOI":"10.1016\/j.ecolind.2021.108211","article-title":"Diagnose the dominant climate factors and periods of spring phenology in Qinling Mountains, China","volume":"131","author":"Yin","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1038\/s42003-019-0636-7","article-title":"Photoperiod controls vegetation phenology across Africa","volume":"2","author":"Adole","year":"2019","journal-title":"Commun. Biol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"2914","DOI":"10.1111\/gcb.15575","article-title":"Photoperiod decelerates the advance of spring phenology of six deciduous tree species under climate warming","volume":"27","author":"Meng","year":"2021","journal-title":"Glob. Chang. Biol."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Shen, M., Tang, Y., Chen, J., Yang, X., Wang, C., Cui, X., Yang, Y., Han, L., Li, L., and Du, J. (2014). Earlier-season vegetation has greater temperature sensitivity of spring phenology in northern hemisphere. PLoS ONE, 9.","DOI":"10.1371\/journal.pone.0088178"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"627","DOI":"10.1038\/ngeo2234","article-title":"Recent Arctic amplification and extreme mid-latitude weather","volume":"7","author":"Cohen","year":"2014","journal-title":"Nat. Geosci."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1038\/nclimate2268","article-title":"Arctic amplification decreases temperature variance in northern mid- to high-latitudes","volume":"4","author":"Screen","year":"2014","journal-title":"Nat. Clim. Chang."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"D16111","DOI":"10.1029\/2010JD013975","article-title":"A multi-data set analysis of variability and change in Arctic spring snow cover extent, 1967\u20132008","volume":"115","author":"Brown","year":"2010","journal-title":"J. Geophys. Res."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"L19504","DOI":"10.1029\/2012GL053387","article-title":"Spring snow cover extent reductions in the 2008-2012 period exceeding climate model projections","volume":"39","author":"Derksen","year":"2012","journal-title":"Geophys. Res. Lett."},{"key":"ref_54","unstructured":"Friedl, M., and Sulla-Menashe, D. (2021, January 15). MCD12C1 MODIS\/Terra+Aqua Land Cover Type Yearly L3 Global 0.05Deg CMG V006. NASA EOSDIS Land Processes Distributed Active Archive Center, Available online: https:\/\/lpdaac.usgs.gov\/products\/mcd12c1v006\/."},{"key":"ref_55","unstructured":"Mu\u00f1oz, S.J. (2021, June 08). ERA5-Land Monthly Averaged Data from 1981 to Present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). Available online: https:\/\/www.ecmwf.int\/en\/era5-land."},{"key":"ref_56","unstructured":"Hall, D.K.G., and Riggs, G.A. (2021, June 08). MODIS\/Terra Snow Cover Monthly L3 Global 0.05Deg CMG, Version 6. Colorado, USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. Available online: https:\/\/nsidc.org\/data\/MOD10CM\/versions\/6."},{"key":"ref_57","first-page":"27","article-title":"Plant phenological observation dataset of the Chinese Ecosystem Research Network (2003\u20132015)","volume":"2","author":"Song","year":"2017","journal-title":"China Sci. Data"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1890\/110281","article-title":"From Caprio\u2019s lilacs to the USA National Phenology Network","volume":"10","author":"Schwartz","year":"2012","journal-title":"Front. Ecol. Environ."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"4485","DOI":"10.1080\/01431160500168686","article-title":"An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data","volume":"26","author":"Tucker","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/0034-4257(95)00137-P","article-title":"Development of methods for mapping global snow cover using moderate resolution imaging spectroradiometer data","volume":"54","author":"Hall","year":"1995","journal-title":"Remote Sens. Environ."},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Chen, X., Yang, Y., Ma, Y., and Li, H. (2021). Distribution and Attribution of Terrestrial Snow Cover Phenology Changes over the Northern Hemisphere during 2001\u20132020. Remote Sens., 13.","DOI":"10.3390\/rs13091843"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"108183","DOI":"10.1016\/j.agrformet.2020.108183","article-title":"Contributions of climate change, elevated atmospheric CO2 and human activities to ET and GPP trends in the Three-North Region of China","volume":"295","author":"Xie","year":"2020","journal-title":"Agric. For. Meteorol."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"RG4004","DOI":"10.1029\/2010RG000345","article-title":"Global Surface Temperature Change","volume":"48","author":"Hansen","year":"2010","journal-title":"Rev. Geophys."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"e2020EF001667","DOI":"10.1029\/2020EF001667","article-title":"Robustness of CMIP6 Historical Global Mean Temperature Simulations: Trends, Long-Term Persistence, Autocorrelation, and Distributional Shape","volume":"8","author":"Papalexiou","year":"2020","journal-title":"Earth Future"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"2495","DOI":"10.5194\/tc-14-2495-2020","article-title":"Historical Northern Hemisphere snow cover trends and projected changes in the CMIP6 multi-model ensemble","volume":"14","author":"Mudryk","year":"2020","journal-title":"Cryosphere"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/13\/2964\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T23:36:36Z","timestamp":1760139396000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/13\/2964"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,21]]},"references-count":65,"journal-issue":{"issue":"13","published-online":{"date-parts":[[2022,7]]}},"alternative-id":["rs14132964"],"URL":"https:\/\/doi.org\/10.3390\/rs14132964","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,21]]}}}