HR: 0800h
AN: B31B-0219    [Abstracts]
TI: Analysis of Multi-sensor Continuity of Reflectance and Vegetation Indices Using Radiative Transfer Models
AU: * Miura, T
EM: tomoakim@hawaii.edu
AF: University of Hawaii at Manoa, Department of Natural Resources and Environmental Management, Honolulu, HI 96822 United States
AU: Yoshioka, H
EM: yoshioka@urban.meijo-u.ac.jp
AF: Meijo University, Department of Urban Science, Gifu, 509-0261 Japan
AU: Huete, A R
EM: ahuete@ag.arizona.edu
AF: University of Arizona, Department of Soil, Water and Environmental Science, Tucson, AZ 85721
AB: Long term observations of global vegetation from multiple satellites require much effort to ensure continuity and compatibility due to different sensor characteristics (e.g., band pass filters and spatial resolutions) and product generation algorithms (e.g., atmospheric correction and compositing schemes) as well as different observation geometries. While it is important to investigate and correct for each of these factors individually, it is also of great importance to develop a systematic understanding of simultaneous impacts of multiple factors on data continuity for translation. In this study, a coupled canopy-atmosphere radiative transfer model (SAIL+6S) was employed to investigate the relative impacts of the multiple factors on reflectance and vegetation index (VI) product continuity. Reflectance spectra for a variety of canopy, atmosphere, and geometry conditions were simulated for a grassland biome based on the observed ranges of the parameters. These data were then spectrally convolved to simulate AVHRR, MODIS, ETM+, and ASTER band passes and analyzed to determine the relative impacts on continuity. We found that inter-sensor relationships of reflectance and VIs vary systematically with canopy, atmosphere, and geometry conditions and that multi-sensor data sets can be made interchangeably useable by modeling these systematic behaviors as translation equations.
DE: 3322 Land/atmosphere interactions
DE: 1812 Drought
DE: 1851 Plant ecology
DE: 1615 Biogeochemical processes (4805)
DE: 1640 Remote sensing
SC: Biogeosciences [B]
MN: 2004 AGU Fall Meeting