HR: 17:00h
AN: B22E-05 [PDF]
TI: Spectral and Angular Surface Albedo Properties Over the ARM Southern Great Plains Area During Spring
2003 IOP From Combined Ground and Spaceborne MODIS, MISR and Landsat Observations
AU: * Trishchenko, A P
EM: trichtch@ccrs.nrcan.gc.ca
AF: Canada Centre for Remote Sensing, Natural Resources Canada, 588 Booth Str, Ottawa, ONT K1A 0Y7
Canada
AU: Luo, Y
EM: yi.luo@
AF: Noetix Research Inc, 265 Carling Ave. Suite 403, Ottawa, ONT K1A 0Y7
Canada
AU: Khlopenkov, K
EM: kkhlopen@ccrs.nrcan.gc.ca
AF: Canada Centre for Remote Sensing, Natural Resources Canada, 588 Booth Str, Ottawa, ONT K1A 0Y7
Canada
AU: Li, Z
EM: zli@atmos.umd.edu
AF: Department of Meteorology, ESSIC, University of Maryland, 2335 CSS Building, College Park, MD
20742-2465 United States
AB:
Information about surface albedo is required as surface boundary condition for radiative transfer modeling, aerosol
retrievals, atmospheric dynamics and cloud simulations. Ground observations also provide ground truth radiation measurements
for validation and intercomparison with airborne and satellite data. We present our approach and results for
characterization of surface albedo spectral and angular properties during the Atmospheric Radiation Measurement Program (ARM)
Spring 2003 Aerosol Intensive Observation Period (IOP) using ground-based and spaceborne combined observations. The results
are presented for the ARM Southern Great Plains (SGP) study area. We conducted multiple ground spectral measurements at
various locations over typical surface types in the area under mid-May conditions. The results of ground survey of landcover
type distribution and Landsat ETM scene were utilized to generate the landcover map at high spatial resolution. The
dominating surface types in the area during mid-May were ripening wheat (65 percent) followed by grassland/pasture (25
percent). Satellite MISR and MODIS data over the area were processed together with ground measurements collected with
narrow-field-of-view probe to analyze surface anisotropic properties. Impact of the improved surface characterization on
radiative transfer is assessed. This research was supported by the US Department of Energy Atmospheric Radiation Measurement
Program under grant No. DE-FG02-02ER63351.
DE: 0400 Biogeosciences
DE: 1640 Remote sensing
SC: Biogeosciences [B]
MN: 2003 Fall Meeting