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a powerful remote sensing data source. However, due to stray light pollution, there is a lack of VIIRS data in mid-high latitudes during the summer, resulting in the absence of high-precision spatiotemporal continuous datasets. In this paper, we first select nine-time series interpolation methods to interpolate the missing images. Second, we construct image pixel-level temporal continuity constraints and spatial correlation constraints and remove the pixels that do not meet the constraints, and the eliminated pixels are filled with the focal statistics tool. Finally, the accuracy of the time series interpolation method and the spatiotemporally constrained interpolation method (STCIM) proposed in this paper are evaluated from three aspects: the number of abnormal pixels (NP), the total light brightness value (TDN), and the absolute value of the difference (ADN). The results show that the images simulated by the STCIM are more accurate than the nine selected time series interpolation methods, and the image interpolation accuracy is significantly improved. Relevant research results have improved the quality of the VIIRS dataset, promoted the application research based on the VIIRS DNB long-time series night light remote sensing image, and enriched the night light remote sensing theory and method system.<\/jats:p>","DOI":"10.3390\/rs15092480","type":"journal-article","created":{"date-parts":[[2023,5,9]],"date-time":"2023-05-09T01:06:28Z","timestamp":1683594388000},"page":"2480","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["A Spatiotemporally Constrained Interpolation Method for Missing Pixel Values in the Suomi-NPP VIIRS Monthly Composite Images: Taking Shanghai as an Example"],"prefix":"10.3390","volume":"15","author":[{"given":"Qingyun","family":"Liu","sequence":"first","affiliation":[{"name":"School of Civil and Architectural Engineering, Shandong University of Technology, Zibo 255000, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8987-7930","authenticated-orcid":false,"given":"Junfu","family":"Fan","sequence":"additional","affiliation":[{"name":"School of Civil and Architectural Engineering, Shandong University of Technology, Zibo 255000, China"},{"name":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"}]},{"given":"Jiwei","family":"Zuo","sequence":"additional","affiliation":[{"name":"School of Civil and Architectural Engineering, Shandong University of Technology, Zibo 255000, China"}]},{"given":"Ping","family":"Li","sequence":"additional","affiliation":[{"name":"School of Civil and Architectural Engineering, Shandong University of Technology, Zibo 255000, China"}]},{"given":"Yunpeng","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Civil and Architectural Engineering, Shandong University of Technology, Zibo 255000, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1766-2820","authenticated-orcid":false,"given":"Zhoupeng","family":"Ren","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"}]},{"given":"Yi","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Geosciences and Info-Physics, Central South University, Changsha 410083, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"5855","DOI":"10.1080\/01431161.2017.1351784","article-title":"Remote sensing of night-time light","volume":"38","author":"Li","year":"2017","journal-title":"Int. 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