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.
Highlights
Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Abstract: Remotely sensed land surface temperature (LST) distribution has played a valuable role in land surface processes studies from local to global scales
This review investigated the latest developments in enhancing spatial and temporal resolution of remote sensed LST data by surveying the progress and interdisciplinary status of the resolution enhancement methods, including spatial resolution enhancement methods, temporal resolution enhancement methods, and methods for enhancing spatial and temporal resolution simultaneously
The enhancement of low-spatial-resolution LST images usually relies on high-spatialresolution auxiliary data that are statistically correlated to LST [10]
Summary
Different terms are used in the literature to refer to the methods used to improve the spatial and temporal resolutions of LST images because researchers from different disciplines have used different names for their methods, including thermal downscaling [11,12,13], thermal sharpening [14,15,16], spatiotemporal image fusion of LST [17,18,19], and LST disaggregation [20,21]. We use the term resolution enhancement throughout this paper to refer to methods that aim to generate LST images with high spatial and temporal resolutions. This term highlights the improvement in the final products over the original LST images. Weng et al [23] and Weng and Fu [24]
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