{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T10:53:42Z","timestamp":1764240822915,"version":"build-2065373602"},"reference-count":74,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T00:00:00Z","timestamp":1731974400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["42271405"],"award-info":[{"award-number":["42271405"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Evapotranspiration (ET) plays a significant role in the surface water cycle, particularly within the unique geographical context of Southwest China. The region\u2019s different topography, driven by mountain uplift and variations in slope direction, alters regional hydrothermal conditions, thereby affecting local ecoclimatic patterns. ET characteristics, shaped by slope orientation, can also serve as important indicators of climate variability in the study area. While most existing ET research on shady and sunny slopes has been conducted at the point scale, this study employed Global Land Surface Satellite (GLASS) ET products to estimate the average ET for shady and sunny slopes across five provinces in Southwest China between 2003 and 2018. The driving factors behind the variation in ET across different regions were also explored. Key results include the following: (1) Annual ET in Southwest China ranges between 200 mm and 800 mm, with Tibet exhibiting the lowest values and Yunnan the highest. (2) ET decreases gradually with increasing altitude in the altitude range of 0 m to 5000 m. The ET is higher on the sunny slopes than on the shady slopes. Notably, when the altitude is higher than 5000 m, ET on shady slopes in Tibet is greater than that on sunny slopes as the altitude increases. (3) ET initially increases with slope inclination before decreasing. Notably, in areas with slopes exceeding 35\u00b0 in Yunnan, the ET value is found to be significantly higher on shady slopes compared to sunny slopes. (4) The effects of soil moisture, the Normalized Difference Vegetation Index, relative humidity, and land surface temperature on ET are more substantial on shady slopes than sunny slopes, whereas air temperature has a stronger impact on ET on sunny slopes. These results provide valuable data for research on regional climate change and contribute to strategies for ecological and environmental protection.<\/jats:p>","DOI":"10.3390\/rs16224310","type":"journal-article","created":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T06:06:54Z","timestamp":1731996414000},"page":"4310","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Comparison of the Distribution of Evapotranspiration on Shady and Sunny Slopes in Southwest China"],"prefix":"10.3390","volume":"16","author":[{"given":"Yixi","family":"Kan","sequence":"first","affiliation":[{"name":"College of Geography and Planning, Chengdu University of Technology, Chengdu 610059, China"}]},{"given":"Huaiyong","family":"Shao","sequence":"additional","affiliation":[{"name":"College of Geography and Planning, Chengdu University of Technology, Chengdu 610059, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-1594-4474","authenticated-orcid":false,"given":"Chang","family":"Du","sequence":"additional","affiliation":[{"name":"College of Earth and Planetary Sciences, Chengdu University of Technology, Chengdu 610059, China"}]},{"given":"Yimeng","family":"Guo","sequence":"additional","affiliation":[{"name":"College of Geography and Planning, Chengdu University of Technology, Chengdu 610059, China"}]},{"given":"Xianglong","family":"Dai","sequence":"additional","affiliation":[{"name":"College of Earth and Planetary Sciences, Chengdu University of Technology, Chengdu 610059, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,11,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"RG2005","DOI":"10.1029\/2011RG000373","article-title":"A review of global terrestrial evapotranspiration: Observation, modeling, climatology, and climatic variability","volume":"50","author":"Wang","year":"2012","journal-title":"Rev. Geophys."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Wanniarachchi, S., and Sarukkalige, R. (2022). A review on evapotranspiration estimation in agricultural water management: Past, present, and future. Hydrology, 9.","DOI":"10.3390\/hydrology9070123"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"223","DOI":"10.5194\/hess-15-223-2011","article-title":"Mapping daily evapotranspiration at field to continental scales using geostationary and polar orbiting satellite imagery","volume":"15","author":"Anderson","year":"2011","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"534","DOI":"10.1093\/nsr\/nwaa011","article-title":"Land\u2013atmosphere\u2013ocean coupling associated with the Tibetan Plateau and its climate impacts","volume":"7","author":"Liu","year":"2020","journal-title":"Natl. Sci. Rev."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"367","DOI":"10.2307\/2844964","article-title":"The plant geography of Yunnan Province, southwest China","volume":"13","author":"Li","year":"1986","journal-title":"J. Biogeogr."},{"key":"ref_6","first-page":"339","article-title":"Drought in Southwest China: A review","volume":"8","author":"Lin","year":"2015","journal-title":"Atmos. Ocean. Sci. Lett."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Zhao, J., Xu, T., Xiao, J., Liu, S., Mao, K., Song, L., Yao, Y., He, X., and Feng, H. (2020). Responses of water use efficiency to drought in southwest China. Remote Sens., 12.","DOI":"10.3390\/rs12010199"},{"key":"ref_8","first-page":"908","article-title":"A Review of Evapotranspiration Estimation Using Remotely Sensed Data in Mountainous Region","volume":"35","author":"Zhao","year":"2017","journal-title":"Mt. Res."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"064003","DOI":"10.1088\/1748-9326\/aa6da8","article-title":"Topoclimate effects on growing season length and montane conifer growth in complex terrain","volume":"12","author":"Barnard","year":"2017","journal-title":"Environ. Res. Lett."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Goulden, M., Anderson, R., Bales, R., Kelly, A., Meadows, M., and Winston, G. (2012). Evapotranspiration along an elevation gradient in California\u2019s Sierra Nevada. J. Geophys. Res. Biogeosci., 117.","DOI":"10.1029\/2012JG002027"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Liu, W., Yang, L., Zhu, M., Adamowski, J.F., Barzegar, R., Wen, X., and Yin, Z. (2021). Effect of elevation on variation in reference evapotranspiration under climate change in Northwest China. Sustainability, 13.","DOI":"10.3390\/su131810151"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"4180","DOI":"10.1029\/2018WR022645","article-title":"Spatial-temporal patterns of evapotranspiration along an elevation gradient on Mount Gongga, Southwest China","volume":"54","author":"Hu","year":"2018","journal-title":"Water Resour. Res."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"e2023GL105879","DOI":"10.1029\/2023GL105879","article-title":"Aspect Matters: Unraveling Microclimate Impacts on Mountain Greenness and Greening","volume":"50","author":"Yin","year":"2023","journal-title":"Geophys. Res. Lett."},{"key":"ref_14","first-page":"417","article-title":"Understanding the role of slope aspect in shaping the vegetation attributes and soil properties in Montane ecosystems","volume":"59","author":"Singh","year":"2018","journal-title":"Trop. Ecol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1016\/S0378-1127(02)00446-2","article-title":"Influence of topographic aspect, precipitation and drought on radial growth of four major tree species in an Appalachian watershed","volume":"177","author":"Fekedulegn","year":"2003","journal-title":"For. Ecol. Manag."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"e2020GL088918","DOI":"10.1029\/2020GL088918","article-title":"The grass is not always greener on the other side: Seasonal reversal of vegetation greenness in aspect-driven semiarid ecosystems","volume":"47","author":"Kumari","year":"2020","journal-title":"Geophys. Res. Lett."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.ecolmodel.2008.04.010","article-title":"Slope, aspect and climate: Spatially explicit and implicit models of topographic microclimate in chalk grassland","volume":"216","author":"Bennie","year":"2008","journal-title":"Ecol. Model."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Liu, Q., Chen, Z., Wang, S., Liang, T., Gao, Z., and Dong, Y. (2024). Changes in Soil Hydrological Retention Properties and Controlling Factors on Shaded and Sunny Slopes in Semi-Arid Alpine Woodlands. Forests, 15.","DOI":"10.3390\/f15071136"},{"key":"ref_19","first-page":"70","article-title":"Study on microclimate characteristics and energy benefit of afforestation preparation in West Mountain slope of Beijing","volume":"s5","author":"Guan","year":"1992","journal-title":"J. Beijing For. Univ."},{"key":"ref_20","first-page":"10250","article-title":"Spatially differentiated characteristics of vegetation carbon sequestration function in Helan Mountain area and its driving factors","volume":"43","author":"Chen","year":"2023","journal-title":"Acta Ecol. Sin."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1007\/s12665-020-09007-1","article-title":"Evapotranspiration as a response to climate variability and ecosystem changes in southwest, China","volume":"79","author":"Mokhtar","year":"2020","journal-title":"Environ. Earth Sci."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Zeng, Z., Wu, W., Zhou, Y., Li, Z., Hou, M., and Huang, H. (2019). Changes in reference evapotranspiration over Southwest China during 1960\u20132018: Attributions and implications for drought. Atmosphere, 10.","DOI":"10.3390\/atmos10110705"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1109\/JSTARS.2017.2788462","article-title":"Global land surface evapotranspiration estimation from meteorological and satellite data using the support vector machine and semiempirical algorithm","volume":"11","author":"Liu","year":"2018","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_24","first-page":"1473","article-title":"Global review of the research progress and trend of evapotranspiration","volume":"65","author":"Guo","year":"2019","journal-title":"Geol. Rev."},{"key":"ref_25","first-page":"1087","article-title":"Applications of remote sensing retrieval of evapotranspiration in irrigation water management: A review","volume":"54","author":"Zhang","year":"2023","journal-title":"J. Hydraul. Eng."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1517","DOI":"10.11834\/jrs.20211310","article-title":"Progress of data-driven remotely sensed retrieval methods and products on land surface evapotranspiration","volume":"25","author":"Liu","year":"2021","journal-title":"Natl. Remote Sens. Bull."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"4521","DOI":"10.1002\/2013JD020864","article-title":"Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations","volume":"119","author":"Yao","year":"2014","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_28","first-page":"491","article-title":"Applicability evaluation and fusion on multi-source potential evapotranspiration products in the Yarlung Zangbo River basin","volume":"22","author":"Ge","year":"2024","journal-title":"South-North Water Transf. Water Sci. Technol."},{"key":"ref_29","first-page":"888","article-title":"Spatiotemporal Changes of Evapotranspiration on the Qinghai-Tibet Plateau from 2001 to 2018 based on GLASS Data","volume":"37","author":"Cai","year":"2022","journal-title":"Remote Sens. Technol. Appl."},{"key":"ref_30","unstructured":"Lan, X. (2023). Influence of Mass Elevation Effect Factors on Latent and Sensible Heat Fluxes on the Tibetan Plateau. [Master\u2019s Thesis, Henan University]."},{"key":"ref_31","first-page":"1562","article-title":"The Applicability Performance of the ERA5-Land Precipitation Datasets in Southwest China","volume":"42","author":"Huang","year":"2023","journal-title":"Plateau Meteorol."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/s11442-013-0989-7","article-title":"Extreme drought changes in Southwest China from 1960 to 2009","volume":"23","author":"Zhang","year":"2013","journal-title":"J. Geogr. Sci."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"110441","DOI":"10.1016\/j.palaeo.2021.110441","article-title":"A 40,000 year record of vegetation, environment and climate change from Chongqing, Central China","volume":"573","author":"Dodson","year":"2021","journal-title":"Palaeogeogr. Palaeoclimatol. Palaeoecol."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"122689","DOI":"10.1016\/j.jclepro.2020.122689","article-title":"Lake surface water temperature prediction and changing characteristics analysis-A case study of 11 natural lakes in Yunnan-Guizhou Plateau","volume":"276","author":"Yu","year":"2020","journal-title":"J. Clean. Prod."},{"key":"ref_35","first-page":"14","article-title":"Thoughts on high-quality development of Xizang nature protected area system with national parks as main body","volume":"41","author":"Feng","year":"2023","journal-title":"For. Constr."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1679","DOI":"10.1016\/j.proenv.2010.10.179","article-title":"The impact of sustained drought on vegetation ecosystem in Southwest China based on remote sensing","volume":"2","author":"Wang","year":"2010","journal-title":"Procedia Environ. Sci."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"128245","DOI":"10.1016\/j.jhydrol.2022.128245","article-title":"Consistency and uncertainty of gridded terrestrial evapotranspiration estimations over China","volume":"612","author":"Guo","year":"2022","journal-title":"J. Hydrol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"2937","DOI":"10.5194\/essd-12-2937-2020","article-title":"A long-term (2005\u20132016) dataset of hourly integrated land\u2013atmosphere interaction observations on the Tibetan Plateau","volume":"12","author":"Ma","year":"2020","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1038\/s41597-020-0534-3","article-title":"The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data","volume":"7","author":"Pastorello","year":"2020","journal-title":"Sci. Data"},{"key":"ref_40","first-page":"78","article-title":"A dataset of carbon and water fluxes in the sample plots of natural regeneration at Puding Station of Guizhou Province 2015\u20132019","volume":"8","author":"Wang","year":"2023","journal-title":"China Sci. Data"},{"key":"ref_41","first-page":"110","article-title":"An observation dataset of carbon and water fluxes at Yuanjiang Dry-hot Valley Ecological Station (2013\u20132015)","volume":"6","author":"Qi","year":"2021","journal-title":"China Sci. Data"},{"key":"ref_42","first-page":"87","article-title":"A dataset of carbon and water fluxes observation in subtropical evergreen broad-leaved forest in Ailao Shan from 2009 to 2013","volume":"6","author":"Qi","year":"2021","journal-title":"China Sci. Data"},{"key":"ref_43","first-page":"97","article-title":"Observations of land surface processes of the Tibetan Plateau based on the field stations network","volume":"35","author":"Peng","year":"2017","journal-title":"Sci. Technol. Rev."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.agrformet.2012.11.016","article-title":"MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestley\u2013Taylor algorithm","volume":"171","author":"Yao","year":"2013","journal-title":"Agric. For. Meteorol."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1038\/s41597-023-01991-w","article-title":"A 21-year dataset (2000\u20132020) of gap-free global daily surface soil moisture at 1-km grid resolution","volume":"10","author":"Zheng","year":"2023","journal-title":"Sci. Data"},{"key":"ref_46","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_47","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/j.agrformet.2016.11.129","article-title":"Spatiotemporal change and trend analysis of potential evapotranspiration over the Loess Plateau of China during 2011\u20132100","volume":"233","author":"Peng","year":"2017","journal-title":"Agric. For. Meteorol."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Ding, Y., and Peng, S. (2020). Spatiotemporal trends and attribution of drought across China from 1901\u20132100. Sustainability, 12.","DOI":"10.3390\/su12020477"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1931","DOI":"10.5194\/essd-11-1931-2019","article-title":"1 km monthly temperature and precipitation dataset for China from 1901 to 2017","volume":"11","author":"Peng","year":"2019","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1038\/s41597-024-03230-2","article-title":"HiMIC-Monthly: A 1 km high-resolution atmospheric moisture index collection over China, 2003\u20132020","volume":"11","author":"Zhang","year":"2024","journal-title":"Sci. Data"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"387","DOI":"10.5194\/essd-16-387-2024","article-title":"TRIMS LST: A daily 1 km all-weather land surface temperature dataset for China\u2019s landmass and surrounding areas (2000\u20132022)","volume":"16","author":"Tang","year":"2024","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_52","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_53","doi-asserted-by":"crossref","first-page":"4670","DOI":"10.1109\/TGRS.2019.2892417","article-title":"A method based on temporal component decomposition for estimating 1-km all-weather land surface temperature by merging satellite thermal infrared and passive microwave observations","volume":"57","author":"Zhang","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"4743","DOI":"10.1109\/TGRS.2017.2698828","article-title":"A thermal sampling depth correction method for land surface temperature estimation from satellite passive microwave observation over barren land","volume":"55","author":"Zhou","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Feng, F., and Wang, K. (2018). Merging satellite retrievals and reanalyses to produce global long-term and consistent surface incident solar radiation datasets. Remote Sens., 10.","DOI":"10.3390\/rs10010115"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"907","DOI":"10.5194\/essd-13-907-2021","article-title":"Merging ground-based sunshine duration observations with satellite cloud and aerosol retrievals to produce high-resolution long-term surface solar radiation over China","volume":"13","author":"Feng","year":"2021","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"10097","DOI":"10.1002\/2016JD025447","article-title":"Water storage in reservoirs built from 1997 to 2014 significantly altered the calculated evapotranspiration trends over China","volume":"121","author":"Mao","year":"2016","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"3228","DOI":"10.1002\/2016JD026065","article-title":"Comparison of evapotranspiration estimates based on the surface water balance, modified Penman-Monteith model, and reanalysis data sets for continental China","volume":"122","author":"Mao","year":"2017","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_59","first-page":"78","article-title":"Principles of correlation analysis","volume":"65","author":"Gogtay","year":"2017","journal-title":"J. Assoc. Physicians India"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"100390","DOI":"10.1016\/j.trgeo.2020.100390","article-title":"Study on the heat and deformation characteristics of an expressway embankment with shady and sunny slopes in warm and ice-rich permafrost regions","volume":"24","author":"Luo","year":"2020","journal-title":"Transp. Geotech."},{"key":"ref_61","first-page":"535","article-title":"Dual Influences of Local Environmental Variables on Ground Temperatures on the Interior-Eastern Qinghai-Tibet Plateau(I): Vegetation and Snow Cover","volume":"4","author":"Jin","year":"2008","journal-title":"J. Glaciol. Geocryol."},{"key":"ref_62","first-page":"63","article-title":"A Study on Land Surface Temperature Terrain Effect over Mountainous Area based on Landsat 8 Thermal Infrared Data","volume":"31","author":"Zhao","year":"2016","journal-title":"Remote Sens. Technol. Appl."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1016\/S0022-1694(98)00187-5","article-title":"Variability in surface moisture content along a hillslope transect: Rattlesnake Hill, Texas","volume":"210","author":"Famiglietti","year":"1998","journal-title":"J. Hydrol."},{"key":"ref_64","first-page":"962","article-title":"Differences of Surface Energy and Shallow Soil Temperature and Humidity at Sunny and Shady Slopes in Permafrost Region, Beiluhe Basin, Qinghai-Tibet Plateau","volume":"36","author":"Lan","year":"2021","journal-title":"Adv. Earth Sci."},{"key":"ref_65","first-page":"2568","article-title":"Spatio-temporal Variation of Evapotranspiration and Its Driving Factors in Southwest China from 2000 to 2020","volume":"32","author":"Wang","year":"2023","journal-title":"Resour. Environ. Yangtze Basin"},{"key":"ref_66","first-page":"1649","article-title":"Impact of vegetation change on evapotranspiration components in the Loess Plateau based on Google Earth Engine","volume":"43","author":"Cai","year":"2023","journal-title":"Sci. Geogr. Sin."},{"key":"ref_67","first-page":"1","article-title":"The Tibetan Plateau and vegetation in China: Characteristics of the geographical distribution of vegetation in China in relation to the effect of the plateau on atmospheric circulation","volume":"1","author":"Zhao","year":"1979","journal-title":"J. Xinjiang Agric. Univ."},{"key":"ref_68","first-page":"451","article-title":"Elevation calculation and variation of climatic snowline in China","volume":"6","author":"Wu","year":"1990","journal-title":"Chin. Sci. Bull."},{"key":"ref_69","first-page":"289","article-title":"Features of space distribution of the forest line and relations between the forest line and climatic limit of permafrost and climatic snowline in China","volume":"4","author":"Jiang","year":"2004","journal-title":"J. Geomech."},{"key":"ref_70","unstructured":"Liu, J. (2020). Study on the Influence of Mass Elevation Effect on Solar Radiation and Altitudinal Belt of Vegetation in the Oinling-Daba Mountains. [Master\u2019s Thesis, Henan University]."},{"key":"ref_71","doi-asserted-by":"crossref","unstructured":"Che, Y., Zhang, M., Li, Z., Wei, Y., Nan, Z., Li, H., Wang, S., and Su, B. (2019). Energy balance model of mass balance and its sensitivity to meteorological variability on Urumqi River Glacier No. 1 in the Chinese Tien Shan. Sci. Rep., 9.","DOI":"10.1038\/s41598-019-50398-4"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"133787","DOI":"10.1016\/j.scitotenv.2019.133787","article-title":"Evaluation of a satellite-derived model parameterized by three soil moisture constraints to estimate terrestrial latent heat flux in the Heihe River basin of Northwest China","volume":"695","author":"Yao","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"1022","DOI":"10.1111\/j.1365-2486.2010.02263.x","article-title":"A climatic basis for microrefugia: The influence of terrain on climate","volume":"17","author":"Dobrowski","year":"2011","journal-title":"Glob. Chang. Biol."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"1343","DOI":"10.1093\/treephys\/tpaa083","article-title":"Topography influences species-specific patterns of seasonal primary productivity in a semiarid montane forest","volume":"40","author":"Murphy","year":"2020","journal-title":"Tree Physiol."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/22\/4310\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T16:35:08Z","timestamp":1760114108000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/22\/4310"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,19]]},"references-count":74,"journal-issue":{"issue":"22","published-online":{"date-parts":[[2024,11]]}},"alternative-id":["rs16224310"],"URL":"https:\/\/doi.org\/10.3390\/rs16224310","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2024,11,19]]}}}