Downscaling Transformation Method for Vegetation Temperature Condition Index Based on Point Spread Function
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    Abstract:

    The vegetation temperature condition index (VTCI) has been widely used in drought monitoring, which is in the assumption that their shape of the scatter plots of normalized difference vegetation index (NDVI) and land surface temperature (LST) was a triangular at a regional level. Bsaed on the vegetation temperature condition index (VTCI) drought monitoring results retrieved from the moderate-resolution imaging spectroradiometer (MODIS) data products (MODIS-VTCI) and the relative VTCI derived from the Landsat OLI/TIRS products (Landsat-VTCI) in the Guanzhong Plain, China, the MODIS-VTCI was transformed from a coaser resolution of 930m to a finer resolution of 30m by using the point spread function, called PSF-VTCI, and the PSF-VTCIs were validated for their quantification. The results showed that there was good agreement between the PSF-VTCIs and the Landsat-VTCIs terms of their correlation coefficient and structural similarity index. The correlation coefficients between the PSF-VTCIs and the cumulative precipitation were similar to those between the MODIS-VTCIs and the cumulative precipitation, which were both larger than those between the Landsat-VTCIs and the cumulative precipitation, indicating the PSF-VTCIs were not only related to the space heterogeneity of the Landsat-VTCIs but also the accurate quantitative drought monitoring results of the MODIS-VTCIs.

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History
  • Received:March 16,2017
  • Revised:
  • Adopted:
  • Online: December 10,2017
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