Fine Spatial and Temporal Ice/Snow Surface Temperature Generation: Evaluation Spatiotemporal Fusion Methods in Greenland Ice Sheet
Monitoring ice/snow surface temperature (IST) variations with high spatial and temporal resolution data from satellites are essential for research on the mass balance of the Greenland ice sheet (GrIS). However, the tradeoff between satellite sensors' bandwidth and re-entry cycle, cou...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10278424/ |
| _version_ | 1797530278984417280 |
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| author | Qing Cheng Zejun Zhang Dong Liang Fan Ye |
| author_facet | Qing Cheng Zejun Zhang Dong Liang Fan Ye |
| author_sort | Qing Cheng |
| collection | DOAJ |
| description | Monitoring ice/snow surface temperature (IST) variations with high spatial and temporal resolution data from satellites are essential for research on the mass balance of the Greenland ice sheet (GrIS). However, the tradeoff between satellite sensors' bandwidth and re-entry cycle, coupled with the influence of cloudy weather, limits their ability to fine-monitor IST. Spatiotemporal data fusion is a way of producing high spatiotemporal datasets. This article uses four spatiotemporal fusion algorithms to fuse the Landsat 8 IST data and the Moderate Resolution Imaging Spectrometer IST to generate fine spatial-temporal IST in the GrIS regions. The quantitative evaluation of the different fusion data shows that the <italic>R</italic><sup>2</sup> are all above 0.9. The spatial and temporal nonlocal filter based fusion model (STNLFFM) dual-temporal algorithm provided the highest accuracy with a root mean square error of 2.427 K, followed by the STNLFFM mono-temporal algorithm, the spatial and temporal adaptive reflectance fusion model (STARFM), the flexible spatiotemporal data fusion model, and enhanced STARFM. From the results, the fusion data are accurate and detailed in different regions. That is, the spatiotemporal fusion technique has the potential to generate IST datasets that possess high spatial and temporal resolutions for Greenland. |
| first_indexed | 2024-03-10T10:26:46Z |
| format | Article |
| id | doaj.art-d99762dbe41149ac8ce36f39df1523f9 |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-03-10T10:26:46Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-d99762dbe41149ac8ce36f39df1523f92023-11-22T00:00:39ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352023-01-0116102161022910.1109/JSTARS.2023.332374210278424Fine Spatial and Temporal Ice/Snow Surface Temperature Generation: Evaluation Spatiotemporal Fusion Methods in Greenland Ice SheetQing Cheng0https://orcid.org/0000-0002-0571-4083Zejun Zhang1https://orcid.org/0009-0008-9904-4914Dong Liang2https://orcid.org/0000-0001-9147-7792Fan Ye3https://orcid.org/0009-0001-4637-4345School of Computer Science, China University of Geoscience, Wuhan, ChinaSchool of Computer Science, China University of Geoscience, Wuhan, ChinaInternational Research Center of Big Data for Sustainable Development Goals, Beijing, ChinaSchool of Computer Science, China University of Geoscience, Wuhan, ChinaMonitoring ice/snow surface temperature (IST) variations with high spatial and temporal resolution data from satellites are essential for research on the mass balance of the Greenland ice sheet (GrIS). However, the tradeoff between satellite sensors' bandwidth and re-entry cycle, coupled with the influence of cloudy weather, limits their ability to fine-monitor IST. Spatiotemporal data fusion is a way of producing high spatiotemporal datasets. This article uses four spatiotemporal fusion algorithms to fuse the Landsat 8 IST data and the Moderate Resolution Imaging Spectrometer IST to generate fine spatial-temporal IST in the GrIS regions. The quantitative evaluation of the different fusion data shows that the <italic>R</italic><sup>2</sup> are all above 0.9. The spatial and temporal nonlocal filter based fusion model (STNLFFM) dual-temporal algorithm provided the highest accuracy with a root mean square error of 2.427 K, followed by the STNLFFM mono-temporal algorithm, the spatial and temporal adaptive reflectance fusion model (STARFM), the flexible spatiotemporal data fusion model, and enhanced STARFM. From the results, the fusion data are accurate and detailed in different regions. That is, the spatiotemporal fusion technique has the potential to generate IST datasets that possess high spatial and temporal resolutions for Greenland.https://ieeexplore.ieee.org/document/10278424/Greenlandice and snowice/snow surface temperature (IST)spatiotemporal fusionsurface temperature |
| spellingShingle | Qing Cheng Zejun Zhang Dong Liang Fan Ye Fine Spatial and Temporal Ice/Snow Surface Temperature Generation: Evaluation Spatiotemporal Fusion Methods in Greenland Ice Sheet IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Greenland ice and snow ice/snow surface temperature (IST) spatiotemporal fusion surface temperature |
| title | Fine Spatial and Temporal Ice/Snow Surface Temperature Generation: Evaluation Spatiotemporal Fusion Methods in Greenland Ice Sheet |
| title_full | Fine Spatial and Temporal Ice/Snow Surface Temperature Generation: Evaluation Spatiotemporal Fusion Methods in Greenland Ice Sheet |
| title_fullStr | Fine Spatial and Temporal Ice/Snow Surface Temperature Generation: Evaluation Spatiotemporal Fusion Methods in Greenland Ice Sheet |
| title_full_unstemmed | Fine Spatial and Temporal Ice/Snow Surface Temperature Generation: Evaluation Spatiotemporal Fusion Methods in Greenland Ice Sheet |
| title_short | Fine Spatial and Temporal Ice/Snow Surface Temperature Generation: Evaluation Spatiotemporal Fusion Methods in Greenland Ice Sheet |
| title_sort | fine spatial and temporal ice x002f snow surface temperature generation evaluation spatiotemporal fusion methods in greenland ice sheet |
| topic | Greenland ice and snow ice/snow surface temperature (IST) spatiotemporal fusion surface temperature |
| url | https://ieeexplore.ieee.org/document/10278424/ |
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