Research on spatial matching of spaceborne radar data and ground radar data is important both in theory and application.
对星载雷达数据与地面降雨资料进行空间匹配，并展开定量分析，在理论研究与实际应用中具有重要意义。
Meteorological data are spatially interpolated to attain the spatial resolution matching remotely sensed data.
对气象数据进行空间插值以获取与遥感数据一致的空间分辨率。
We match AERONET ground-based data with MODIS aerosol product by band interpolation and temporal-spatial matching, then compare and evaluate them by linear fitting.
采用波长插值、时空匹配将地基数据和MODIS气溶胶产品匹配在一起，然后采用线性拟合的方法进行对比分析。
We match AERONET ground-based data with MODIS aerosol product by band interpolation and temporal-spatial matching, then compare and evaluate them by linear fitting.
采用波长插值、时空匹配将地基数据和MODIS气溶胶产品匹配在一起，然后采用线性拟合的方法进行对比分析。
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