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Cited by 74Soil Moisture and Remote SensingRemote Sensing in AgricultureUrban Heat Island Mitigation

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Resolution Enhancement of Remotely Sensed Land Surface Temperature: Current Status and Perspectives

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Mao, Qi, Peng, Jian, Wang, Yanglin·2021·Remote Sensing
DOI 10.3390/rs13071306
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Abstract

Remotely sensed land surface temperature (LST) distribution has played a valuable role in land surface processes studies from local to global scales. However, it is still difficult to acquire concurrently high spatiotemporal resolution LST data due to the trade-off between spatial and temporal resolutions in thermal remote sensing. To address this problem, various methods have been proposed to enhance the resolutions of LST data, and substantial progress in this field has been achieved in recent years. Therefore, this study reviewed the current status of resolution enhancement methods for LST data. First, three groups of enhancement methods—spatial resolution enhancement, temporal resolution enhancement, and simultaneous spatiotemporal resolution enhancement—were comprehensively investigated and analyzed. Then, the quality assessment strategies for LST resolution enhancement methods and their advantages and disadvantages were specifically discussed. Finally, key directions for future studies in this field were suggested, i.e., synergy between process-driven and data-driven methods, cross-comparison among different methods, and improvement in localization strategy.

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  • Current LST products are constrained by the trade-off between spatial and temporal resolutions imposed by sensor fabrication limitations, which severely limits their practical applications.

    “current LST products are often constrained by the trade-off between spatial and temporal resolutions.”

    From PGDM: Physically guided diffusion model for land surface temperature downscaling (2025) · cites this paper as Mao et al., 2021

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Metadata

Authors
Mao, Q., Peng, J., & Wang, Y.
Affiliations
Peking University (CN)
Corresponding author
Wang, Yanglin
Venue
Remote Sensing
Publisher
MDPI AG
Published
2021-03-29
Volume
13
Issue
7
Pages
1306
ISSN
2072-4292 (ISSN-L)
DOI
10.3390/rs13071306
OpenAlex
W3144401390
Cited by
74
References
2
Citations by year
2026: 13 · 2025: 20 · 2024: 14 · 2023: 10 · 2022: 13 · 2021: 4
FWCI
3.32
Type
journal article
Language
en
Open access
Licence
Locations
  • Remote Sensing (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Natural Science Foundation of China (41671182)
Topics
  • Physical Sciences › Environmental Science › Environmental Engineering › Soil Moisture and Remote Sensing
  • Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
  • Physical Sciences › Environmental Science › Environmental Engineering › Urban Heat Island Mitigation
Keywords
land surface temperature, resolution enhancement, spatial resolution enhancement, temporal resolution enhancement, thermal infrared remote sensing, quality assessment, localization strategy

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