A Spectral Angle Distance-Weighting Reconstruction Method for Filled Pixels of the MODIS Land Surface Temperature Product
IEEE Geosci. Remote Sensing Lett.(2014)
摘要
Land surface temperature (LST) is an important parameter in the physics of land surface processes, but a large number of pixels are often filled as zero due to cloud, heavy aerosols, and so on in the Moderate-resolution Imaging Spectroradiometer (MODIS) LST product. This letter presents the spectral angle distance (SAD)-weighting reconstruction (SADWER) method of reconstruction of zero-filled pixels of the MODIS LST product. It relies on the hypothesis that pixels with the same land-cover type have nearly the same LST in a localized area. SAD can measure the similarity of land-cover types of different pixels, and pixels with higher land-cover similarity can contribute more to the reconstruction using the weighting method. The result shows that the reconstruction ratio could be as high as 95% using only the SADWER method and nearly 100% after spatial filter postprocessing. The reconstruction accuracy is validated using artificially generated 20-, 50-, and 80-km-diameter concentrically filled areas in both forest and crop land-cover types. The statistical result shows that the standard deviations of the reconstruction errors are less than 2 Kelvin.
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关键词
radiometry,remote sensing,modis lst product,land cover,spatial filter post processing,atmospheric techniques,land surface temperature (lst),zero filled pixels,reconstruction,sad-weighting reconstruction,spectral angle distance-weighting reconstruction method,land surface processes,filled pixels,sadwer method,geophysical signal processing,land cover types,moderate-resolution imaging spectroradiometer (modis),spectral angle distance (sad),land surface temperature,pixel land cover type,moderate resolution imaging spectroradiometer
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