Improvement in the estimation of net primary production by the combination of the several spatial resolutions of remote sensing data

本研究的目的是通过结合使用低和高空间分辨率的地理数据，以提高地面植被净第一性生产力（NPP）的估计精度。得出了以下结果：（1）评价了全色锐化方法，并生成了植被图，（2）生成了MODIS无云合成数据的时间序列，（3）准备了气象网格数据，（4）NPP的估计结果，但是，在不现实的值。

The purpose of this study is to improve the accuracy of the estimation of the net primary production (NPP) of the ground vegetation by means of the combinational use of low and high spatial resolution geographical data. The following results were derived; (1) pansharpening methods were evaluated, and vegetation maps were generated, (2) time series of MODIS cloud-free composite data were generated, (3) meteorological grid data were prepared, and (4) estimation of NPP resulted, however, in un-realistic values.