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Considering snow cover phenology based on MODIS product MOD10A1 data, this paper constructed a method for automatically extracting key phenological parameters in Xinjiang and calculated three key phenological parameters in Xinjiang from 2001 to 2020, including SCD (snow cover duration), SOD (snow onset date), and SED (snow end date). The daily data of four field camera observation points during an overlapping period from 2017 to 2019 were used to evaluate the snow cover phenological parameters extracted by MOD10A1, and the mean absolute error (MAE) and root mean square error (RMSE) values were 0.65 and 1.07, respectively. The results showed the following: 1. The spatiotemporal variation in snow phenology was highly altitude dependent. The mean gradients of SCD in the Altai Mountains, Tienshan Mountains, and Kunlun Mountains is 2.6, 2.1, and 1.2 d\/100 m, respectively. The variation trend of snow phenology with latitude and longitude was mainly related to the topography of Xinjiang. Snow phenological parameters of different land-use types were different. The SCD values in wasteland were the lowest and the SED was the earliest, while forest land was the first to enter SOD accumulation. According to the study, the mean annual values of SCD, SOD, and SED were 25, 342 (8 December), and 51 (8 February) as day of year (DOY), respectively. The snow cover area was mainly distributed in the Altai Mountains, Junggar Basin, Tianshan Mountains, and Kunlun Mountains. 2. The variation trend and significance of snow cover phenological parameters in different regions are different, and the variation trend of snow cover phenological parameters in most regions of Xinjiang is non-significant.<\/jats:p>","DOI":"10.3390\/rs15061474","type":"journal-article","created":{"date-parts":[[2023,3,7]],"date-time":"2023-03-07T01:43:35Z","timestamp":1678153415000},"page":"1474","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Snow Cover Phenology in Xinjiang Based on a Novel Method and MOD10A1 Data"],"prefix":"10.3390","volume":"15","author":[{"given":"Qingxue","family":"Wang","sequence":"first","affiliation":[{"name":"College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China"},{"name":"Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China"}]},{"given":"Yonggang","family":"Ma","sequence":"additional","affiliation":[{"name":"Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China"},{"name":"College of Ecology and Environment, Xinjiang University, Urumqi 830046, China"},{"name":"Xinjiang Jinghe Observation and Research Station of Temperate Desert Ecosystem, Ministry of Education, Urumqi 830046, China"},{"name":"Key Laboratory of Oasis Ecology of Education Ministry, Urumqi 830046, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1054-5966","authenticated-orcid":false,"given":"Junli","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"},{"name":"Key Laboratory of GIS & RS Application, Xinjiang Uygur Autonomous Region, Urumqi 830011, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,7]]},"reference":[{"key":"ref_1","first-page":"326","article-title":"Estimation of snow water resources and its distribution in Xinjiang","volume":"24","author":"Hu","year":"2013","journal-title":"Adv. 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