{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T20:27:35Z","timestamp":1781900855706,"version":"3.54.5"},"reference-count":73,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2022,12,3]],"date-time":"2022-12-03T00:00:00Z","timestamp":1670025600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["42125604"],"award-info":[{"award-number":["42125604"]}]},{"name":"National Natural Science Foundation of China","award":["42171143"],"award-info":[{"award-number":["42171143"]}]},{"name":"National Natural Science Foundation of China","award":["41971293"],"award-info":[{"award-number":["41971293"]}]},{"name":"National Natural Science Foundation of China","award":["2019QZKK0201"],"award-info":[{"award-number":["2019QZKK0201"]}]},{"name":"National Natural Science Foundation of China","award":["22JR5RE1042"],"award-info":[{"award-number":["22JR5RE1042"]}]},{"name":"Second Tibetan Plateau Scientific Expedition and Research Program (STEP)","award":["42125604"],"award-info":[{"award-number":["42125604"]}]},{"name":"Second Tibetan Plateau Scientific Expedition and Research Program (STEP)","award":["42171143"],"award-info":[{"award-number":["42171143"]}]},{"name":"Second Tibetan Plateau Scientific Expedition and Research Program (STEP)","award":["41971293"],"award-info":[{"award-number":["41971293"]}]},{"name":"Second Tibetan Plateau Scientific Expedition and Research Program (STEP)","award":["2019QZKK0201"],"award-info":[{"award-number":["2019QZKK0201"]}]},{"name":"Second Tibetan Plateau Scientific Expedition and Research Program (STEP)","award":["22JR5RE1042"],"award-info":[{"award-number":["22JR5RE1042"]}]},{"name":"Natural Science Foundation of Gansu Province","award":["42125604"],"award-info":[{"award-number":["42125604"]}]},{"name":"Natural Science Foundation of Gansu Province","award":["42171143"],"award-info":[{"award-number":["42171143"]}]},{"name":"Natural Science Foundation of Gansu Province","award":["41971293"],"award-info":[{"award-number":["41971293"]}]},{"name":"Natural Science Foundation of Gansu Province","award":["2019QZKK0201"],"award-info":[{"award-number":["2019QZKK0201"]}]},{"name":"Natural Science Foundation of Gansu Province","award":["22JR5RE1042"],"award-info":[{"award-number":["22JR5RE1042"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Snow cover has significant impacts on the global water cycle, ecosystem, and climate change. At present, satellite remote sensing is regarded as the most efficient approach to detect long-term and multiscale observations of snow cover extent. The Visible Infrared Imaging Radiometer Suite (VIIRS) sensor onboard Joint Polar Satellite System (JPSS) satellites will replace the Moderate-Resolution Imaging Spectroradiometer (MODIS) to prolong data recording in the future. Therefore, it is a fundamental task to analyze and evaluate the consistency of the snow cover products retrieved from these two sensors. In this study, we performed comparisons and a consistency evaluation between the MODIS and VIIRS snow cover products in three major snow distribution regions in China: Northeast China (NE), Northwest China (NW) and the Qinghai\u2013Tibet Plateau (QT). The results demonstrated that (1) the normalized difference snow index (NDSI)-derived snow cover products showed suitable consistency between VIIRS and MODIS under clear sky conditions, with a mean difference value of less than 5%; (2) the VIIRS snow cover product presented much more snow and fewer clouds than that of MODIS in the snow season due to the differences in cloud-masking algorithms; (3) cloud mask strongly affects the potential of snow cover observation, and presents seasonal pattern in the test regions; and (4) VIIRS is able to distinguish clouds from snow with greater accuracy. The comparisons indicated that the greater the difference in cloud cover, the poorer the agreement in snow cover. This evaluation implies that perfecting the cloud-masking algorithm of VIIRS to update the MODIS would be the best solution to achieve better consistency for long-term and high-quality snow cover products.<\/jats:p>","DOI":"10.3390\/rs14236134","type":"journal-article","created":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T05:31:32Z","timestamp":1670218292000},"page":"6134","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Effect of Cloud Mask on the Consistency of Snow Cover Products from MODIS and VIIRS"],"prefix":"10.3390","volume":"14","author":[{"given":"Anwei","family":"Liu","sequence":"first","affiliation":[{"name":"Heihe Remote Sensing Experimental Research Station, Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"},{"name":"Surveying Department, Gansu Industry Polytechnic College, Tianshui 741025, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6848-7271","authenticated-orcid":false,"given":"Tao","family":"Che","sequence":"additional","affiliation":[{"name":"Heihe Remote Sensing Experimental Research Station, Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China"},{"name":"State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6530-1475","authenticated-orcid":false,"given":"Xiaodong","family":"Huang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liyun","family":"Dai","sequence":"additional","affiliation":[{"name":"Heihe Remote Sensing Experimental Research Station, Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Wang","sequence":"additional","affiliation":[{"name":"Heihe Remote Sensing Experimental Research Station, Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Deng","sequence":"additional","affiliation":[{"name":"Heihe Remote Sensing Experimental Research Station, Key Laboratory of Remote Sensing of Gansu Province, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,3]]},"reference":[{"key":"ref_1","unstructured":"IPCC (2019). 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