A new method for spatial matching of data with different resolution was proposed by introducing the concept of standing and contour pixels in histo-variogram theory

and was examined in quality validation using the sea surface temperature data obtained by FY2-C satellite. For comparing satellite data with grid data

this method can reduce the spurious error resulting from changed pixel characteristics in downscaling and upscaling. For comparing satellite data with station data

this method can give relatively accurate results while requiring less precise spatial matching.