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Title:   Author  item
                                            Gao, Feng
  Submitted to: Book Chapter
                                    Publication Type: Book / Chapter
                                    Publication Acceptance Date: 12/31/2012
                                    Publication  Date: N/A
                                    Citation: N/AInterpretive Summary:
                                Technical Abstract: Satellite imagery provides a valuable data source for monitoring vegetation from space. In order to monitor vegetation dynamics and changes, high spatial resolution satellite imagery with frequent acquisition is required. However, current satellite systems cannot satisfy these requirements due to either technical or fiscal difficulties. In recent years, studies have been focused on integrating high spatial resolution Landsat and high temporal resolution MODIS data for vegetation monitoring. This chapter describes three types of approaches to integrate these two data sources. The first approach adopts MODIS algorithms for Landsat data processing. The second approach blends Landsat and MODIS data through a data fusion technique. The third approach normalizes Landsat data using standard MODIS data products. This chapter presents examples and recent applications on the integration of Landsat and MODIS data. Their advantages and limitations are discussed.


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