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- W2012134930 abstract "Land surface temperature (LST) is a key parameter in numerous environmental studies. In order to lower the subpixel temperature estimation error caused by re-sampling of remote sensing data, a disaggregation method for subpixel temperature using the remote sensing endmember index based technique (DisEMI) was established in this study. To take an advantage of simultaneous, multi-resolution observations at coincident nadirs by the Advanced Spaceborne Thermal Emission Reflection Radiometer (ASTER) and the MODerate-resolution Imaging Spectroradiometer (MODIS), LST products from the two sensors were examined for a portion of suburb area in Beijing, China. The verified results indicate that the estimated temperature distribution was basically consistent with that of ASTER LST product(R <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> = 0.709 and RMSE = 2.702 K)." @default.
- W2012134930 created "2016-06-24" @default.
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- W2012134930 date "2011-07-01" @default.
- W2012134930 modified "2023-09-26" @default.
- W2012134930 title "Estimation of subpixel temperature over a heterogeneous area using an endmember index based technique" @default.
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- W2012134930 doi "https://doi.org/10.1109/igarss.2011.6049797" @default.
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