A spatiotemporal comprehensive constraint interpolation method for missing values in monthly composite Suomi-NPP VIIRS Cloud Mask images
文献类型：期刊论文
| 作者 | Liu, Qingyun1,3; Fan, Junfu1,2; Zuo, Jiwei1; Shen, Yunpeng1; Li, Kuan1 |
| 刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH
 |
| 出版日期 | 2024-12-31 |
| 卷号 | 17期号:1页码:20 |
| 关键词 | VIIRS Cloud Mask temporal interpolation methods spatiotemporal comprehensive constraint interpolation spatial autocorrelation inverse distance weight |
| ISSN号 | 1753-8947 |
| DOI | 10.1080/17538947.2024.2328365 |
| 英文摘要 | The Earth's nighttime light imaging data collected by the Visible Infrared Imaging Radiometer Suite Day/Night Band (VIIRS DNB) are severely lost in summer, hindering the further application of VIIRS DNB data. In this article, a spatiotemporal comprehensive constraint interpolation method (SCIM) that accounts for the relative stationarity of temporal nighttime light, spatial correlations and heterogeneity among pixels is designed. Meanwhile, the method considers the seasonal fluctuations in nighttime light radiation, introduces spatial autocorrelation coefficients and spatial heterogeneity coefficients, and solves the problem of missing VIIRS DNB data. First, 8 widely used temporal interpolation methods (TIM) are selected to perform temporal interpolation for missing image data. Second, the existing VIIRS monthly images are used to construct the constraint relationship between time and space, and the pixels that do not meet the constraint conditions in the TIM simulation image are removed. The inverse distance weight (IDW) method is applied to the removed null pixels to obtain the image simulated by the SCIM. Finally, the accuracy of the TIM and SCIM is evaluated. The results show that the accuracy of the SCIM-simulated image is better than that of the TIM-simulated image. The proposed approach improves the quality of the VIIRS DNB dataset. |
| WOS关键词 | QUANTITATIVE ESTIMATION ; NIGHTTIME LIGHTS ; TIME-SERIES |
| 资助项目 | National Natural Science Foundation of China ; Earth Observation Group |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001250965000001 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 资助机构 | National Natural Science Foundation of China ; Earth Observation Group |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/206487]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Fan, Junfu |
| 作者单位 | 1.Shandong Univ Technol, Sch Civil Engn & Geomat, Zibo 255000, Shandong, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 3.Informat Engn Univ, Inst Geog Spatial Informat, Zhengzhou, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Qingyun,Fan, Junfu,Zuo, Jiwei,et al. A spatiotemporal comprehensive constraint interpolation method for missing values in monthly composite Suomi-NPP VIIRS Cloud Mask images[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2024,17(1):20. |
| APA | Liu, Qingyun,Fan, Junfu,Zuo, Jiwei,Shen, Yunpeng,&Li, Kuan.(2024).A spatiotemporal comprehensive constraint interpolation method for missing values in monthly composite Suomi-NPP VIIRS Cloud Mask images.INTERNATIONAL JOURNAL OF DIGITAL EARTH,17(1),20. |
| MLA | Liu, Qingyun,et al."A spatiotemporal comprehensive constraint interpolation method for missing values in monthly composite Suomi-NPP VIIRS Cloud Mask images".INTERNATIONAL JOURNAL OF DIGITAL EARTH 17.1(2024):20. |
入库方式： OAI收割
来源：地理科学与资源研究所
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