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DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 626 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 609 | - |
dc.citation.title | Korean Journal of Remote Sensing | - |
dc.citation.volume | 36 | - |
dc.contributor.author | Yoo, Cheolhee | - |
dc.contributor.author | Im, Jungho | - |
dc.contributor.author | Park, Sumin | - |
dc.contributor.author | Cho, Dongjin | - |
dc.date.accessioned | 2023-12-21T17:08:45Z | - |
dc.date.available | 2023-12-21T17:08:45Z | - |
dc.date.created | 2021-01-08 | - |
dc.date.issued | 2020-08 | - |
dc.description.abstract | Satellite-based land surface temperature (LST) has been used as one of the major parameters in various climate and environmental models. Especially, Moderate Resolution Imaging Spectroradiometer (MODIS) LST is the most widely used satellite-based LST product due to its spatiotemporal coverage (1 km spatial and sub-daily temporal resolutions) and longevity (> 20 years). However, there is an increasing demand for LST products with finer spatial resolution (e.g., 10-250 m) over regions such as urban areas. Therefore, various methods have been proposed to produce high-resolution MODIS-like LST less than 250 m (e.g., 100 m). The purpose of this review is to provide a comprehensive overview of recent research trends and challenges for the downscaling of MODIS LST. Based on the recent literature survey for the past decade, the downscaling techniques classified into three groups—kernel-driven, fusion-based, and the combination of kernel-driven and fusion-based methods—were reviewed with their pros and cons. Then, five open issues and challenges were discussed: uncertainty in LST retrievals, low thermal contrast, the nonlinearity of LST temporal change, cloud contamination, and model generalization. Future research directions of LST downscaling were finally provided. | - |
dc.identifier.bibliographicCitation | Korean Journal of Remote Sensing, v.36, no.4, pp.609 - 626 | - |
dc.identifier.doi | 10.7780/kjrs.2020.36.4.9 | - |
dc.identifier.issn | 1225-6161 | - |
dc.identifier.scopusid | 2-s2.0-85106514136 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/49516 | - |
dc.language | 영어 | - |
dc.publisher | 대한원격탐사학회 | - |
dc.title | Spatial Downscaling of MODIS Land Surface Temperature: Recent Research Trends, Challenges, and Future Directions | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.identifier.kciid | ART002615730 | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
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