Journal
INTERNATIONAL JOURNAL OF DIGITAL EARTH
Volume 6, Issue -, Pages 113-133Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/17538947.2013.783131
Keywords
land-surface temperature; image fusion; remote sensing; resolution
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Funding
- Major State Basic Research Development Program (973 Program) [2011CB707103]
- National High Technology Research and Development Program (863 Program) [2013AA12A301]
- National Natural Science Foundation of China [41271376]
- Hubei Natural Science Foundation [2011CDA096]
- Fundamental Research Funds for the Central Universities [2012205020205]
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Land-surface temperature (LST) is of great significance for the estimation of radiation and energy budgets associated with land-surface processes. However, the available satellite LST products have either low spatial resolution or low temporal resolution, which constrains their potential applications. This paper proposes a spatiotemporal fusion method for retrieving LST at high spatial and temporal resolutions. One important characteristic of the proposed method is the consideration of the sensor observation differences between different land-cover types. The other main contribution is that the spatial correlations between different pixels are effectively considered by the use of a variation-based model. The method was tested and assessed quantitatively using the different sensors of Landsat TM/ETM+, moderate resolution imaging spectroradiometer and the geostationary operational environmental satellite imager. The validation results indicate that the proposed multisensor fusion method is accurate to about 2.5 K.
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