A STUDY OF VEGETATION PHENOLOGY IN THE ANALYSIS OF URBANIZATION PROCESS BASED ON TIME-SERIES MODIS DATA

In this research we presented a novel method to address the issue of urbanization process from time-series MODIS products. By employing a metrics, a phenological parameter extracted from time-series MODIS data and the advantages of MODIS data with high temporal resolution and intermediate spatial resolution, a remote sensing based model for mapping urban dynamics in Wuhan city was built through integration with Landsat images and land-cover data. First, a phenological parameter, amplitude was derived from time-series MODIS EVI data. Next, linear regression was performed on the time-series amplitude to figure out the trend of land-cover changing into built-up areas. Finally, the urbanization trend of urban cores in Wuhan was extracted and analyzed. Our study indicates that the proposed method can be efficiently applied for the monitoring of urban dynamics.