 previous | upcoming  |
 |
Jeffrey T. Morisette NASA Goddard Space Flight Center Time series from remote sensing data provide the unique capacity to estimate landscape level phenology parameters for large regions through time. This presentation will describe a 250m x 250m spatial resolution phenology product for North America from 2001 to 2005. The phenology parameters are estimated from MODIS Normalized Difference Vegetation Index (NDVI) derived from the 8-day surface reflectance product. The algorithm for estimating phenology parameters is based on the TIMESAT software using enhancements that capitalize on the MODIS quality assurance data and an iterative procedure to fill gaps in space and time. The results provide the most spatially complete, highest resolution phenology product every produced for the entire North American continent. These data are freely available through an on-line query and order system. The presentation will review the enhanced TIMESAT algorithm, provide a description of the phenology parameters included in the product, and an overview of the data distribution system. The talk will also discuss some application of the data to habitat mapping, crop type mapping, carbon modeling, and its integration with the newly formed U.S. National Phenology Network. |