HR: 16:30h
AN: B22E-03    [PDF]
TI: Spatially Complete Surface Albedo Data Sets: Value-Added Products Derived From Terra MODIS Land Products
AU: * Moody, E
EM: moody@climate.gsfc.nasa.gov
AF: L-3 Communications GSI, 1801 McCormick Dr. #170, Largo, MD 20774 United States
AU: King, M D
EM: michael.d.king@nasa.gov
AF: NASA, Goddard Space Flight Center, greenbelt, MD 20771 United States
AU: Platnick, S
EM: steven.platnick@nasa.gov
AF: NASA, Goddard Space Flight Center, greenbelt, MD 20771 United States
AU: Schaaf, C B
AF: Boston University, Department of Geography, Boston, MA 02215 United States
AU: Gao, F
AF: Boston University, Department of Geography, Boston, MA 02215 United States
AB: Spectral land surface albedo is an important parameter for describing the radia-tive properties of the Earth. Accordingly it reflects the consequences of natural and human interactions, such as anthropogenic, meteorological, and phenological effects, on global and local climatological trends. Consequently, albedos are integral parts in a variety of research areas, such as general circulation models (GCMs), energy balance studies, modeling of land use and land use change, and biophysical, oceanographic, and meteorological studies. The availability of global albedo data over a large range of spectral channels and at high spatial resolution has dramatically improved with the launch of the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument aboard NASA's Earth Observing System (EOS) Terra spacecraft in December 1999. However, lack of spatial and temporal coverage due to cloud and snow effects can preclude utilization of official products in production and research studies. We report on a technique used to fill incomplete MOD43 albedo data sets with the intention of providing complete value-added maps. The technique is influ-enced by the phenological concept that within a certain area, a pixel's ecosystem class should exhibit similar growth cycle events over the same time period. The shape of an area's phenological temporal curve can be imposed upon existing pixel-level data to fill missing temporal points. The methodology will be reviewed by showcasing 2001 global and regional results of complete albedo and NDVI data sets.
DE: 3322 Land/atmosphere interactions
DE: 3359 Radiative processes
DE: 3360 Remote sensing
SC: Biogeosciences [B]
MN: 2003 Fall Meeting