期刊
REMOTE SENSING OF ENVIRONMENT
卷 156, 期 -, 页码 169-181出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2014.09.013
关键词
Integrated fusion; Land surface temperature; Multi-scale; Geostationary satellite; Polar-orbiting satellite; Resolution
资金
- 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 [41422108]
- Changjiang Scholars and Innovative Research Team in University [IRT1278]
- Startup Project of Doctor in Anhui University
Land surface temperature (LST) and its diurnal variation are important when evaluating climate change, the land-atmosphere energy budget, and the global hydrological cycle. However, the available satellite LST products have either a coarse spatial resolution or a low temporal resolution, which constrains their potential applications. This paper proposes a spatio-temporal integrated temperature fusion model (STITFM) for the retrieval of high temporal and spatial resolution LST from multi-scale polar-orbiting and geostationary satellite observations. Compared with the traditional fusion methods for LST with two different sensors, the proposed method is able to fuse the LST from arbitrary sensors in a unified framework. The model was tested using LST with fine, moderate, and coarse-resolutions. Data from the Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM +) sensors, the Moderate Resolution Imaging Spectroradiometer (MODIS), the Geostationary Operational Environmental Satellite (GOES) Imager, and the Meteosat Second Generation (MSG) Spinning Enhanced Visible and Infrared Imager (SEVIRI) were used. The fused LST values were evaluated with in situ LST obtained from the Surface Radiation Budget Network (SURFRAD) and the Land Surface Analysis Satellite Application Facility (LSA SAF) project. The final validation results indicate that the STITFM is accurate to within about 2.5 K. (C) 2014 Elsevier Inc. All rights reserved.
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