HR: 13:40h
AN: B53D-01    [Abstracts]
TI: North American Landscape Phenology: a 250m spatial resolution product derived from MODIS
AU: * Morisette, J T
EM: jeff.morisette@nasa.gov
AF: NASA Goddard Space Flight Center, Mail Code 614.5, Greenbelt, MD 20771, United States
AU: Wolfe, R E
EM: robert.e.wolfe@nasa.gov
AF: NASA Goddard Space Flight Center, Mail Code 614.5, Greenbelt, MD 20771, United States
AU: Tan, B
EM: btan@ertcorp.com
AF: Earth Resources Technology, Inc., care of NASA GSFC Mail Code 614.4, Greenbelt, MD 20771, United States
AU: Gao, F
EM: fgao@ltpmail.gsfc.nasa.gov
AF: Earth Resources Technology, Inc., care of NASA GSFC Mail Code 614.4, Greenbelt, MD 20771, United States
AU: Pedelty, J
EM: jeff.pedelty@nasa.gov
AF: NASA Goddard Space Flight Center, Mail Code 614.5, Greenbelt, MD 20771, United States
AU: Nightingale, J
EM: jnight@ltpmail.gsfc.nasa.gov
AF: University of Maryland, care of NASA GSFC Mail Code 614.4, Greenbelt, MD 20771, United States
AU: Ederer, G
EM: gederer@ltpmail.gsfc.nasa.gov
AF: SAIC, care of NASA GSFC Mail Code 614.4, Greenbelt, MD 20771, United States
AU: Vermote, E
EM: eric@kratmos.gsfc.nasa.gov
AF: University of Maryland, Geography department, 2181 LeFrak Hall, College Park, MD 20742, United States
AB: 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 ever 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 advent of the US National Phenology Network will allow for coordination and disseminate of phenological observations at multiple scales and across scientific disciplines. The products presented here will be integrated into the NPN so that they can 1) promote landscape phenology research within NPN and 2) utilize NPN field and network data for validation studies. The presentation will describe our planned coordination with NPN.
UR: http://accweb.nascom.nasa.gov
DE: 0439 Ecosystems, structure and dynamics (4815)
DE: 0480 Remote sensing
SC: Biogeosciences [B]
MN: 2007 Fall Meeting