{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T10:20:43Z","timestamp":1784542843167,"version":"3.55.0"},"reference-count":62,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2021,2,12]],"date-time":"2021-02-12T00:00:00Z","timestamp":1613088000000},"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":["U1812401"],"award-info":[{"award-number":["U1812401"]}],"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":["41801334, U1603241, and 41875044"],"award-info":[{"award-number":["41801334, U1603241, and 41875044"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFC0407900"],"award-info":[{"award-number":["2018YFC0407900"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2017NT11"],"award-info":[{"award-number":["2017NT11"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Global climate change, especially the snow drought events, is causing extreme weather events influencing regional vegetation growth and terrestrial ecosystem stability in a long-term and persistent way. In this study, the Sanjiang Plain was selected, as this area has been experiencing snow drought in the past two decades. Logistic models, combined with multisource remote sensing and unmanned aerial vehicle (UAV) data, as well as the meteorological data over the past 20 years, were used to calculate sixteen phenological periods and biomass. The results show that (1) over the past two decades, snow drought has been based on the snow accumulation and has been occurring more frequently, wider-ranging and more severely; (2) snow drought has advanced the forest start of season (SOS)\/end of season (EOS) by 6\/5 days, respectively; (3) if the snowfall is greater than 80% of a normal year, the SOS\/EOS of grass is postponed by 8\/6 days; conversely, if it is less than 80%, the SOS\/EOS are advanced by 7\/5 days; and (4) biomass decreased approximately 0.61%, compared with an abundant snowfall year. Overall, this study is the first to explore how snow drought impacts the phenological period in a mid-high latitude area, and more attention should be paid to these unknown risks to the ecosystem.<\/jats:p>","DOI":"10.3390\/rs13040668","type":"journal-article","created":{"date-parts":[[2021,2,12]],"date-time":"2021-02-12T18:45:00Z","timestamp":1613155500000},"page":"668","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Quantitative Assessment of the Influences of Snow Drought on Forest and Grass Growth in Mid-High Latitude Regions by Using Remote Sensing"],"prefix":"10.3390","volume":"13","author":[{"given":"Hezhen","family":"Lou","sequence":"first","affiliation":[{"name":"Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xijin","family":"Wu","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyu","family":"Ren","sequence":"additional","affiliation":[{"name":"Beijing Weather Modification Office, Beijing 100089, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shengtian","family":"Yang","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing 100875, China"},{"name":"School of Geography and Environmental Science, Guizhou Normal University, Guiyang 550001, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingyong","family":"Cai","sequence":"additional","affiliation":[{"name":"Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing 100094, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pengfei","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yabing","family":"Guan","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,2,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3076","DOI":"10.1029\/2018WR023229","article-title":"Snow Drought Risk and Susceptibility in the Western United States and Southwestern Canada","volume":"55","author":"Dierauer","year":"2019","journal-title":"Water Resour. Res."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"eaax0255","DOI":"10.1126\/sciadv.aax0255","article-title":"Summer soil drying exacerbated by earlier spring greening of northern vegetation","volume":"6","author":"Lian","year":"2020","journal-title":"Sci. Adv."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Kumar, M., Wang, R., and Link, T.E. (2012). Effects of more extreme precipitation regimes on maximum seasonal snow water equivalent. Geophys. Res. Lett., 39.","DOI":"10.1029\/2012GL052972"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1007\/s00382-015-2587-0","article-title":"Twenty-first century changes in snowfall climate in Northern Europe in ENSEMBLES regional climate models","volume":"46","year":"2016","journal-title":"Clim. Dyn."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"585","DOI":"10.1111\/j.1745-6584.2011.00881.x","article-title":"Seasonalizing Mountain System Recharge in Semi-Arid Basins-Climate Change Impacts","volume":"50","author":"Ajami","year":"2012","journal-title":"Groundwater"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"140272","DOI":"10.1016\/j.scitotenv.2020.140272","article-title":"Towards a mechanistic understanding of soil nitrogen availability responses to summer vs. winter drought in a semiarid grassland","volume":"741","author":"Yang","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1016\/j.jaridenv.2004.07.003","article-title":"Summer and winter drought in a cold desert ecosystem (Colorado Plateau) part I: Effects on soil water and plant water uptake","volume":"60","author":"Schwinning","year":"2005","journal-title":"J. Arid Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1133","DOI":"10.1111\/j.1529-8817.2003.00784.x","article-title":"Climate controls on vegetation phenological patterns in northern mid- and high latitudes inferred from MODIS data","volume":"10","author":"Zhang","year":"2004","journal-title":"Glob. Chang. Biol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1016\/j.jhydrol.2017.01.050","article-title":"Farmland shift due to climate warming and impacts on temporal-spatial distributions of water resources in a middle-high latitude agricultural watershed","volume":"547","author":"Ouyang","year":"2017","journal-title":"J. Hydrol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1002\/hyp.5776","article-title":"Controls on runoff from a partially harvested aspen-forested headwater catchment, Boreal Plain, Canada","volume":"19","author":"Devito","year":"2005","journal-title":"Hydrol. Process."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1029\/EO062i014p00137-04","article-title":"Winter snow drought","volume":"62","author":"Wiesnet","year":"1981","journal-title":"Eos. Trans. Am. Geophys. Union"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1016\/j.jhydrol.2016.02.043","article-title":"Flood moderation: Declining peak flows along some Rocky Mountain rivers and the underlying mechanism","volume":"536","author":"Rood","year":"2016","journal-title":"J. Hydrol."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Allamano, P., Claps, P., and Laio, F. (2009). Global warming increases flood risk in mountainous areas. Geophys. Res. Lett., 36.","DOI":"10.1029\/2009GL041395"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Harpold, A., Dettinger, M., and Rajagopal, S. (2017). Defining Snow Drought and Why It Matters. Eos Trans. Am. Geophys. Union.","DOI":"10.1029\/2017EO068775"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1184","DOI":"10.1175\/JHM-D-14-0139.1","article-title":"Moisture Pathways into the US Intermountain West Associated with Heavy Winter Precipitation Events","volume":"16","author":"Alexander","year":"2015","journal-title":"J. Hydrometeorol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"331","DOI":"10.5194\/tc-11-331-2017","article-title":"Future snow? A spatial-probabilistic assessment of the extraordinarily low snowpacks of 2014 and 2015 in theOregonCascades","volume":"11","author":"Sproles","year":"2017","journal-title":"Cryosphere"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"940","DOI":"10.1126\/science.1128834","article-title":"Warming and earlier spring increase Western U.S. forest wildfire activity","volume":"313","author":"Westerling","year":"2006","journal-title":"Science"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"690","DOI":"10.1038\/s41598-017-19007-0","article-title":"Mechanisms controlling the impact of multi-year drought on mountain hydrology","volume":"8","author":"Bales","year":"2018","journal-title":"Sci. Rep."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.advwatres.2016.03.017","article-title":"Diverging Sensitivity of Soil Water Stress To Changing Snowmelt Timing in the Western U.S","volume":"92","author":"Harpold","year":"2016","journal-title":"Adv. Water Resour."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"10980","DOI":"10.1002\/2016GL069965","article-title":"Perspectives on the causes of exceptionally low 2015 snowpack in the western United States","volume":"43","author":"Mote","year":"2016","journal-title":"Geophys. Res. Lett."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1175\/EI-D-17-0027.1","article-title":"Exploring the Origins of Snow Drought in the Northern Sierra Nevada, California","volume":"22","author":"Hatchett","year":"2018","journal-title":"Earth Interact."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1038\/nclimate2246","article-title":"A precipitation shift from snow towards rain leads to a decrease in streamflow","volume":"4","author":"Berghuijs","year":"2014","journal-title":"Nat. Clim. Chang."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"962","DOI":"10.1002\/hyp.7201","article-title":"Implications of global climate change for snowmelt hydrology in the twenty-first century","volume":"23","author":"Adam","year":"2009","journal-title":"Hydrol. Process."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"783","DOI":"10.1080\/01431168408948860","article-title":"Use of LANDSAT-derived profile features for spring small-grains classification","volume":"5","author":"Badhwar","year":"1984","journal-title":"Int. J. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"111511","DOI":"10.1016\/j.rse.2019.111511","article-title":"A review of vegetation phenological metrics extraction using time-series, multispectral satellite data","volume":"237","author":"Zeng","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"672","DOI":"10.1111\/j.1365-2486.2006.01123.x","article-title":"Variations in satellite-derived phenology in China\u2019s temperate vegetation","volume":"12","author":"Piao","year":"2006","journal-title":"Glob. Chang. Biol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"2287","DOI":"10.1080\/01431160310001618455","article-title":"Analysis of phenological change patterns using 1982\u20132000 Advanced Very High Resolution Radiometer (AVHRR) data","volume":"25","author":"Tateishi","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1711","DOI":"10.1016\/j.agrformet.2011.07.003","article-title":"Influences of temperature and precipitation before the growing season on spring phenology in grasslands of the central and eastern Qinghai-Tibetan Plateau","volume":"151","author":"Shen","year":"2011","journal-title":"Agric. For. Meteorol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"735","DOI":"10.1016\/j.agrformet.2008.10.019","article-title":"Leaf phenology sensitivity to temperature in European trees: Do within-species populations exhibit similar responses?","volume":"149","author":"Vitasse","year":"2009","journal-title":"Agric. For. Meteorol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1111\/j.1654-1103.2009.01118.x","article-title":"Functional differences between summer and winter season rain assessed with MODIS-derived phenology in a semi-arid region","volume":"21","author":"Jenerette","year":"2010","journal-title":"J. Veg. Sci."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1096","DOI":"10.1016\/j.rse.2007.07.019","article-title":"Large-area crop mapping using time-series MODIS 250m NDVI data: An assessment for the U.S. Central Great Plains","volume":"112","author":"Wardlow","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1109\/JSTARS.2010.2075916","article-title":"An enhanced TIMESAT algorithm for estimating vegetation phenology metrics from MODIS data","volume":"4","author":"Tan","year":"2011","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1016\/j.ecolind.2017.02.024","article-title":"Spring green-up phenology products derived from MODIS NDVI and EVI: Intercomparison, interpretation and validation using National Phenology Network and AmeriFlux observations","volume":"77","author":"Peng","year":"2017","journal-title":"Ecol. Indic."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/j.rse.2013.07.030","article-title":"Spatial patterns and temporal dynamics in savanna vegetation phenology across the North Australian Tropical Transect","volume":"139","author":"Ma","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1016\/j.rse.2006.04.013","article-title":"Detecting leaf phenology of seasonally moist tropical forests in South America with multi-temporal MODIS images","volume":"103","author":"Xiao","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/S0034-4257(02)00096-2","article-title":"Overview of the radiometric and biophysical performance of the MODIS vegetation indices","volume":"83","author":"Huete","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1016\/j.scitotenv.2016.08.048","article-title":"Detecting and analyzing soil phosphorus loss associated with critical source areas using a remote sensing approach","volume":"573","author":"Lou","year":"2016","journal-title":"Sci. Total Environ."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Xu, X., and Tian, H. (2012). Methane exchange between marshland and the atmosphere over China during 1949-2008. Glob. Biogeochem. Cycles, 26.","DOI":"10.1029\/2010GB003946"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1016\/j.catena.2012.12.002","article-title":"Effect of long-term agricultural cultivation and land use conversion on soil nutrient contents in the Sanjiang Plain","volume":"104","author":"Ouyang","year":"2013","journal-title":"Catena"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"198","DOI":"10.2166\/wcc.2015.012","article-title":"Temporal-spatial evolution patterns of the annual precipitation considering the climate change conditions in the Sanjiang Plain","volume":"7","author":"Fu","year":"2016","journal-title":"J. Water Clim. Chang."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"932","DOI":"10.1016\/j.ecolind.2017.11.011","article-title":"The assessment of the changes of biomass and riparian buffer width in the terminal reservoir under the impact of the South-to-North Water Diversion Project in China","volume":"85","author":"Yang","year":"2018","journal-title":"Ecol. Indic."},{"key":"ref_42","unstructured":"China Ecosystem Research Network (2017). Plant Phenology Observation Data Set of CERN from 2003 to 2015, Science Data Bank."},{"key":"ref_43","unstructured":"Press, W.H., Teukolsky, S.A., Vetterling, W.T., and Flannery, B.P. (1997). Numerical Recipes in C\u2013The Art of Scientific Computing, Cambridge University Press. [2nd ed.]."},{"key":"ref_44","first-page":"12312","article-title":"Widespread and Accelerated Decrease of Observed Mean and Extreme Snow Depth Over Europe","volume":"45","author":"Melsen","year":"2018","journal-title":"Geophys. Res. Lett."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/j.ecolind.2014.05.033","article-title":"Phenology and climate relationships in aspen (Populus tremuloides Michx.) forest and woodland communities of southwestern Colorado","volume":"48","author":"Meier","year":"2015","journal-title":"Ecol. Indic."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"3858","DOI":"10.1002\/hyp.8340","article-title":"Small soil storage capacity limits benefit of winter snowpack to upland vegetation","volume":"25","author":"Smith","year":"2011","journal-title":"Hydrol. Process."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1007\/s10584-008-9475-0","article-title":"Precipitation drives interannual variation in summer soil respiration in a Mediterranean-climate, mixed-conifer forest","volume":"92","author":"Concilio","year":"2009","journal-title":"Clim. Chang."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1080\/15230430.2001.12003408","article-title":"Soil temperatures near the distribution limit of the mountain birch (Betula pubescens ssp. czerepanovii): Implications for seedling nitrogen economy and survival","volume":"33","author":"Karlsson","year":"2001","journal-title":"Arct. Antarct. Alp. Res."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1046\/j.1469-8137.2001.00078.x","article-title":"Growth response of Mountain birch to air and soil temperature: Is increasing leaf-nitrogen content an acclimation to lower air temperature?","volume":"150","author":"Weih","year":"2001","journal-title":"New Phytol."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1007\/s00468-003-0263-1","article-title":"Seasonal changes in carbohydrate reserves in mature northern Populus tremuloides clones","volume":"17","author":"Lieffers","year":"2003","journal-title":"Trees"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"2719","DOI":"10.1016\/j.rse.2010.06.005","article-title":"Annual changes in MODIS vegetation indices of Swedish coniferous forests in relation to snow dynamics and tree phenology","volume":"114","author":"Eklundh","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"2586","DOI":"10.1002\/ece3.648","article-title":"Snow cover and extreme winter warming events control flower abundance of some, but not all species in high arctic Svalbard","volume":"3","author":"Semenchuk","year":"2013","journal-title":"Ecol Evol."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1890\/0012-9615(2003)073[0069:SMFPRT]2.0.CO;2","article-title":"Subalpine meadow flowering phenology responses to climate change: Integrating experimental and gradient methods","volume":"73","author":"Dunne","year":"2003","journal-title":"Ecol. Monogr."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1038\/nature11014","article-title":"Warming experiments underpredict plant phenological responses to climate change","volume":"485","author":"Wolkovich","year":"2012","journal-title":"Nature"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"598","DOI":"10.1038\/nclimate2253","article-title":"Net carbon uptake has increased through warming-induced changes in temperate forest phenology","volume":"4","author":"Keenan","year":"2014","journal-title":"Nat. Clim. Chang."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.scitotenv.2019.01.324","article-title":"Impact of physiological and phenological change on carbon uptake on the Tibetan Plateau revealed through GPP estimation based on spaceborne solar-induced fluorescence","volume":"663","author":"Chen","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Chen, X., Maignan, F., Viovy, N., Bastos, A., Goll, D., Wu, J., Liu, L., Yue, C., Peng, S., and Yuan, W. (2020). Novel Representation of Leaf Phenology Improves Simulation of Amazonian Evergreen Forest Photosynthesis in a Land Surface Model. J. Adv. Model. Earth Syst., 12.","DOI":"10.1029\/2018MS001565"},{"key":"ref_58","unstructured":"Alexander, L., Allen, S., Bindoff, N., Breon, F.-M., Church, J., Cubasch, U., Emori, S., Forster, P., Friedlingstein, P., and Gillett, N. (2013). IPCC. Climate Change 2013: The Physical Science Basis, IPCC."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"1969","DOI":"10.1111\/j.1365-2486.2006.01193.x","article-title":"European phenological response to climate change matches the warming pattern","volume":"12","author":"Menzel","year":"2006","journal-title":"Glob. Chang. Biol."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"711","DOI":"10.1038\/nature04555","article-title":"Winter forest soil respiration controlled by climate and microbial community composition","volume":"439","author":"Monson","year":"2006","journal-title":"Nature"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1175\/BAMS-86-1-39","article-title":"Declining Mountain Snowpack in Western North America","volume":"86","author":"Mote","year":"2005","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Wieser, G., Oberhuber, W., and Gruber, A. (2019). Effects of Climate Change at Treeline: Lessons from Space-for-Time Studies, Manipulative Experiments, and Long-Term Observational Records in the Central Austrian Alps. Forests, 10.","DOI":"10.3390\/f10060508"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/4\/668\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:23:23Z","timestamp":1760160203000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/4\/668"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,12]]},"references-count":62,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2021,2]]}},"alternative-id":["rs13040668"],"URL":"https:\/\/doi.org\/10.3390\/rs13040668","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2,12]]}}}