{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T08:30:17Z","timestamp":1761294617135,"version":"build-2065373602"},"reference-count":59,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2023,6,8]],"date-time":"2023-06-08T00:00:00Z","timestamp":1686182400000},"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":["42171327"],"award-info":[{"award-number":["42171327"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Detailed snow cover maps are essential for estimating the earth\u2019s energy balance and hydrological cycle. Mapping the snow cover across spatially extensive and topographically complex areas with less or no cloud obscuration is challenging, but the SNPP-VIIRS Day\/Night Band (DNB) nighttime light data offers a potential solution. This paper aims to map snow cover distribution at 750 m resolution across the diverse 1,664,900 km2 of Xinjiang, China, based on SNPP-VIIRS DNB radiance. We implemented a swarm intelligent optimization technique Krill Herd algorithm, which finds the optimal threshold value by taking Otsu\u2019s method as the objective function. We derived SNPP-VIIRS DNB snow maps of 14 consecutive scenes in December 2021, compared our snow-covered area estimations with those from MODIS and AMSR2 standard snow cover products, and generated composite snow maps by merging MODIS and SNPP-VIIRS DNB data. Results show that SNPP-VIIRS DNB snow maps are capable of providing reliable snow cover maps superior to MODIS and AMSR2, with an overall accuracy level of 84.66%. The composite snow maps at 500 m spatial resolution provided 55.85% more information on snow cover distribution than standard MODIS products and achieved an overall accuracy of 84.69%. Our study demonstrated the feasibility of snow cover detection in Xinjiang based on SNPP-VIIRS DNB, which can serve as a supplementary dataset for MODIS estimations where clouded pixels are present.<\/jats:p>","DOI":"10.3390\/rs15123004","type":"journal-article","created":{"date-parts":[[2023,6,9]],"date-time":"2023-06-09T02:03:18Z","timestamp":1686276198000},"page":"3004","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Snow Cover Mapping Based on SNPP-VIIRS Day\/Night Band: A Case Study in Xinjiang, China"],"prefix":"10.3390","volume":"15","author":[{"given":"Baoying","family":"Chen","sequence":"first","affiliation":[{"name":"Institute of Remote Sensing and Geographic Information Systems, Peking University, 5 Summer Palace Road, Beijing 100871, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2475-4558","authenticated-orcid":false,"given":"Xianfeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Geographic Information Systems, Peking University, 5 Summer Palace Road, Beijing 100871, China"}]},{"given":"Miao","family":"Ren","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Geographic Information Systems, Peking University, 5 Summer Palace Road, Beijing 100871, China"}]},{"given":"Xiao","family":"Chen","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Geographic Information Systems, Peking University, 5 Summer Palace Road, Beijing 100871, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9225-2824","authenticated-orcid":false,"given":"Junyi","family":"Cheng","sequence":"additional","affiliation":[{"name":"Institute of Remote Sensing and Geographic Information Systems, Peking University, 5 Summer Palace Road, Beijing 100871, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"4094","DOI":"10.1080\/01431161.2011.640964","article-title":"Remote sensing of snow\u2014A review of available methods","volume":"33","author":"Dietz","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1016\/j.rse.2016.06.005","article-title":"Estimation of snow depth from passive microwave brightness temperature data in forest regions of northeast China","volume":"183","author":"Che","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2008WR007525","article-title":"Long-term snow, climate, and streamflow trends at the Reynolds Creek Experimental Watershed, Owyhee Mountains, Idaho, United States","volume":"46","author":"Nayak","year":"2010","journal-title":"Water Resour. Res."},{"key":"ref_4","unstructured":"Cousins, K. (2017). The Economic Benefits and Costs of Snow in the Upper Colorado Basin, Earth Economics."},{"key":"ref_5","first-page":"359","article-title":"Snow Cover Monitoring from Remote-Sensing Satellites: Possibilities for Drought Assessment","volume":"Volume 554","author":"Kongoli","year":"2012","journal-title":"Remote Sensing of Drought: Innovative Monitoring Approaches"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2019JD031914","article-title":"Multiscale Changes in Snow Over the Tibetan Plateau During 1980\u20132018 Represented by Reanalysis Data Sets and Satellite Observations","volume":"125","author":"Bian","year":"2020","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1016\/j.rse.2006.07.004","article-title":"Validation of the MODIS snow product and cloud mask using student and NWS cooperative station observations in the Lower Great Lakes Region","volume":"105","author":"Ault","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1080\/01431160903439924","article-title":"Validation of MODIS snow cover products using Landsat and ground measurements during the 2001\u20132005 snow seasons over northern Xinjiang, China","volume":"32","author":"Huang","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1514","DOI":"10.1016\/j.rse.2007.06.001","article-title":"An application of MODIS data to snow cover monitoring in a pastoral area: A case study in Northern Xinjiang, China","volume":"112","author":"Liang","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Wang, Q., Ma, Y., and Li, J. (2023). Snow Cover Phenology in Xinjiang Based on a Novel Method and MOD10A1 Data. Remote Sens., 15.","DOI":"10.3390\/rs15061474"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1089","DOI":"10.1002\/hyp.5509","article-title":"Validation of VEGETATION, MODIS, and GOES+ SSM\/I snow-cover products over Canada based on surface snow depth observations","volume":"18","author":"Simic","year":"2004","journal-title":"Hydrol. Process."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.jhydrol.2010.01.022","article-title":"Toward advanced daily cloud-free snow cover and snow water equivalent products from Terra\u2013Aqua MODIS and Aqua AMSR-E measurements","volume":"385","author":"Gao","year":"2010","journal-title":"J. Hydrol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"3750","DOI":"10.1016\/j.rse.2008.05.010","article-title":"Toward improved daily snow cover mapping with advanced combination of MODIS and AMSR-E measurements","volume":"112","author":"Liang","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1534","DOI":"10.1002\/hyp.6715","article-title":"Accuracy assessment of the MODIS snow products","volume":"21","author":"Hall","year":"2007","journal-title":"Hydrol. Process."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Frey, R.A., Ackerman, S.A., Holz, R.E., Dutcher, S., and Griffith, Z. (2020). The Continuity MODIS-VIIRS Cloud Mask. Remote Sens., 12.","DOI":"10.3390\/rs12203334"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"785","DOI":"10.1080\/01431168308948597","article-title":"Night-time observations of snow using visible imagery","volume":"4","author":"Foster","year":"1983","journal-title":"Int. J. Remote Sens."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"111443","DOI":"10.1016\/j.rse.2019.111443","article-title":"Remote sensing of night lights: A review and an outlook for the future","volume":"237","author":"Levin","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"6440","DOI":"10.1002\/2013JD021170","article-title":"Suomi NPP VIIRS Imagery evaluation","volume":"119","author":"Hillger","year":"2014","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"112557","DOI":"10.1016\/j.rse.2021.112557","article-title":"Quantifying uncertainties in nighttime light retrievals from Suomi-NPP and NOAA-20 VIIRS Day\/Night Band data","volume":"263","author":"Wang","year":"2021","journal-title":"Remote Sens. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Stopic, R., and Dias, E. (2023). Examining Thresholding and Factors Impacting Snow Cover Detection Using Nighttime Images. Remote Sens., 15.","DOI":"10.3390\/rs15040868"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"112766","DOI":"10.1016\/j.rse.2021.112766","article-title":"Snow cover detection in mid-latitude mountainous and polar regions using nighttime light data","volume":"268","author":"Huang","year":"2022","journal-title":"Remote Sens. Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1391","DOI":"10.1175\/JCLI3342.1","article-title":"A Climatology of Midlatitude Continental Clouds from the ARM SGP Central Facility: Part I: Low-Level Cloud Macrophysical, Microphysical, and Radiative Properties","volume":"18","author":"Dong","year":"2005","journal-title":"J. Clim."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"6717","DOI":"10.3390\/rs5126717","article-title":"Illuminating the Capabilities of the Suomi National Polar-Orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Day\/Night Band","volume":"5","author":"Miller","year":"2013","journal-title":"Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"4532478","DOI":"10.1155\/2020\/4532478","article-title":"Intercomparison and Validation of MIRS, MSPPS, and IMS Snow Cover Products","volume":"2020","author":"Chiu","year":"2020","journal-title":"Adv. Meteorol."},{"key":"ref_25","unstructured":"National Ice Center (2008). IMS Daily Northern Hemisphere Snow and Ice Analysis at 1 km, 4 km, and 24 km Resolutions, Version 1, NASA National Snow and Ice Data Center, Distributed Active Archive Center. updated daily."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1134","DOI":"10.3390\/rs4051134","article-title":"Validation of NOAA-Interactive Multisensor Snow and Ice Mapping System (IMS) by Comparison with Ground-Based Measurements over Continental United States","volume":"4","author":"Chen","year":"2012","journal-title":"Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"3247","DOI":"10.1002\/hyp.10427","article-title":"Evaluation of snow products over the Tibetan Plateau","volume":"29","author":"Yang","year":"2015","journal-title":"Hydrol. Process."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"4243","DOI":"10.1038\/s41467-018-06762-5","article-title":"Influence of Tibetan Plateau snow cover on East Asian atmospheric circulation at medium-range time scales","volume":"9","author":"Li","year":"2018","journal-title":"Nat. Commun."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1007\/s10584-013-0827-z","article-title":"Modelling potential impacts of climate change on water and nitrate export from a mid-sized, semiarid watershed in the US Southwest","volume":"120","author":"Ye","year":"2013","journal-title":"Clim. Change"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"e10792","DOI":"10.7717\/peerj.10792","article-title":"Changes in precipitation amounts and extremes across Xinjiang (northwest China) and their connection to climate indices","volume":"9","author":"Hu","year":"2021","journal-title":"PeerJ"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1503","DOI":"10.1007\/s00704-017-2058-0","article-title":"Response of vegetation NDVI to climatic extremes in the arid region of Central Asia: A case study in Xinjiang, China","volume":"131","author":"Yao","year":"2017","journal-title":"Theor. Appl. Climatol."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/s11442-019-1581-6","article-title":"Tracking climate change in Central Asia through temperature and precipitation extremes","volume":"29","author":"Zhang","year":"2019","journal-title":"J. Geog. Sci."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"689","DOI":"10.1175\/1520-0442(1991)004<0689:TEOSCO>2.0.CO;2","article-title":"The Effect of Snow Cover on the Climate","volume":"4","author":"Cohen","year":"1991","journal-title":"J. Clim."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"115505","DOI":"10.1016\/j.geoderma.2021.115505","article-title":"Effect of snow cover on water content, carbon and nutrient availability, and microbial biomass in complexes of biological soil crusts and subcrust soil in the desert","volume":"406","author":"Hui","year":"2022","journal-title":"Geoderma"},{"key":"ref_35","unstructured":"P\u00f6rtner, H.-O., Roberts, D.C., Tignor, M., Poloczanska, E.S., Mintenbeck, K., Alegr\u00eda, A., Craig, M., Langsdorf, S., L\u00f6schke, S., and M\u00f6ller, V. (2022). Climate Change 2022: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press. in press."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1007\/s00265-022-03287-2","article-title":"Biologically meaningful moonlight measures and their application in ecological research","volume":"77","year":"2023","journal-title":"Behav. Ecol. Sociobiol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"20642","DOI":"10.1038\/s41598-021-98060-2","article-title":"Influence of moon and clouds on night illumination in two different spectral ranges","volume":"11","author":"Krieg","year":"2021","journal-title":"Sci. Rep."},{"key":"ref_38","unstructured":"(2023, June 05). National Centers for Environmental Information, Available online: https:\/\/www.ncei.noaa.gov\/metadata\/geoportal\/rest\/metadata\/item\/gov.noaa.ncdc%3AC00864\/html."},{"key":"ref_39","unstructured":"(2023, June 05). NASA Level1 and Atmosphere Archive & Distribution System (LAADS) Distributed Active Archive Center (DAAC), Available online: https:\/\/ladsweb.modaps.eosdis.nasa.gov\/missions-and-measurements\/products\/CLDMSK_L2_VIIRS_SNPP\/."},{"key":"ref_40","unstructured":"(2023, June 05). National Snow and Ice Data Center. Available online: https:\/\/nsidc.org\/data\/mod10a1\/versions\/61."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1016\/j.rse.2018.11.038","article-title":"Regional differences of lake evolution across China during 1960s\u20132015 and its natural and anthropogenic causes","volume":"221","author":"Zhang","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.rse.2012.10.022","article-title":"The Vegetation Adjusted NTL Urban Index: A new approach to reduce saturation and increase variation in nighttime luminosity","volume":"129","author":"Zhang","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1080\/22797254.2017.1413955","article-title":"Monitoring dynamics and driving forces of lake changes in different seasons in Xinjiang using multi-source remote sensing","volume":"51","author":"Jing","year":"2018","journal-title":"Eur. J. Remote Sens."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"575","DOI":"10.1007\/s10584-019-02623-2","article-title":"MODIS-observed variations of lake ice phenology in Xinjiang, China","volume":"158","author":"Cai","year":"2020","journal-title":"Clim. Chang."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"2712","DOI":"10.1175\/1520-0469(1980)037<2712:AMFTSA>2.0.CO;2","article-title":"A Model for the Spectral Albedo of Snow. I: Pure Snow","volume":"37","author":"Wiscombe","year":"1980","journal-title":"J. Atmos. Sci."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"3020","DOI":"10.3390\/rs70303020","article-title":"Automatic Boat Identification System for VIIRS Low Light Imaging Data","volume":"7","author":"Elvidge","year":"2015","journal-title":"Remote Sens."},{"key":"ref_47","first-page":"528","article-title":"Multilevel thresholding for image segmentation using Krill Herd Optimization algorithm","volume":"33","author":"Nair","year":"2021","journal-title":"J. King Saud Univ. Comput. Inf. Sci."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s40998-019-00251-1","article-title":"Image Segmentation Using Multilevel Thresholding: A Research Review","volume":"44","author":"Pare","year":"2019","journal-title":"Iran. J. Sci. Technol. Trans. Electr. Eng."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","article-title":"A Threshold Selection Method from Gray-Level Histograms","volume":"9","author":"Otsu","year":"1979","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/0734-189X(85)90125-2","article-title":"A New Method for Gray-Level Picture Thresholding Using the Entropy of the Histogram","volume":"29","author":"Kapur","year":"1985","journal-title":"Comput. Vis. Graph. Image Process."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"4831","DOI":"10.1016\/j.cnsns.2012.05.010","article-title":"Krill herd: A new bio-inspired optimization algorithm","volume":"17","author":"Gandomi","year":"2012","journal-title":"Commun. Nonlinear Sci. Numer. Simul."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"8771650","DOI":"10.1155\/2022\/8771650","article-title":"Image Segmentation under the Optimization Algorithm of Krill Swarm and Machine Learning","volume":"2022","author":"Geng","year":"2022","journal-title":"Comput. Intell. Neurosci."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1007\/BF02295996","article-title":"Note on the sampling error of the difference between correlated proportions or percentages","volume":"12","author":"McNemar","year":"1947","journal-title":"Psychometrika"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1016\/j.rser.2015.11.058","article-title":"Evaluation of empirical models for predicting monthly mean horizontal diffuse solar radiation","volume":"56","author":"Despotovic","year":"2016","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.enconman.2013.03.004","article-title":"General models for estimating daily global solar radiation for different solar radiation zones in mainland China","volume":"70","author":"Li","year":"2013","journal-title":"Energy Convers. Manag."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"e8861","DOI":"10.7717\/peerj.8861","article-title":"Temporal and spatial variability in snow cover over the Xinjiang Uygur Autonomous Region, China, from 2001 to 2015","volume":"8","author":"Chen","year":"2020","journal-title":"PeerJ"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"113017","DOI":"10.1016\/j.rse.2022.113017","article-title":"Mapping snow cover in forests using optical remote sensing, machine learning and time-lapse photography","volume":"275","author":"Luo","year":"2022","journal-title":"Remote Sens. Environ."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"1141","DOI":"10.3189\/002214311796406077","article-title":"Recent advances in remote sensing of seasonal snow","volume":"56","author":"Nolin","year":"2010","journal-title":"J. Glaciol."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"1497","DOI":"10.1016\/j.rse.2007.05.016","article-title":"Evaluation of MODIS snow cover and cloud mask and its application in Northern Xinjiang, China","volume":"112","author":"Wang","year":"2008","journal-title":"Remote Sens. Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/12\/3004\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:51:02Z","timestamp":1760125862000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/12\/3004"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,8]]},"references-count":59,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2023,6]]}},"alternative-id":["rs15123004"],"URL":"https:\/\/doi.org\/10.3390\/rs15123004","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2023,6,8]]}}}