Study on the fusion of MODIS and TM images using the spectral response function and STARFM algorithm

To make full use of the advantages of the high spatial resolution of Landsat, along with the high temporal resolution of MODIS, we applied the spatial and temporal adaptive reflectance fusion model (STARFM) by means of comparing the difference of the spectral response functions, as well as normalizing the similar bands between these two types of sensors, to construct a time series images with high spatial resolution in this paper. In this research, the experiments were carried out on the TM and MODIS images in the Yongtai area of Fuzhou city. The results show that: 1) in terms of spatially manner, the predicated data well reflected the spatial details difference of the high resolution remote sensing imagery by analyzing the difference in histogram between the real data and the predicated data; 2) in terms of timely manner, the predicated data retained the time change trend of high temporal remote sensing imagery by comparing the values of NDVI between the MODIS image and the predicated image.