Abstract:

In order to achieve automatic batch processing national FY-3A/B MERSI optical images, to extract the feature of vegetation index and to be preparation for vegetation types mapping methodology at national scale for future, the processes of physical quantity calculation, geometric correction, mosaic, mask and composite with time series maximum vegetation indices and flag images of 10 days based on MERSI L1B images had been studied. In addition, these processes have been integrated the program using IDL 7.1 language. The 10 days composed vegetation index with 250 meters spatial resolution, including Normal Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) images had been generated by the method. At the same time, the differences between the NDVI and EVI had been analyzed. The results showed that the composed NDVI with 10 days’ continuous MERSI images were better than that of EVI in reflecting the distribution and climatic change of vegetation in China. The processing FY-3A MERSI optical images by program was not only save manpower and time, but also easy operation. In addition, this research was preparing for the future work such as studying the distribution of vegetation types, monitoring vegetation growth, developing applications in the forestry field using domestic satellite data and so on.