HR: 1340h
AN: IN33A-1168    [Abstracts]
TI: MODIS Land Data Image Browsing
AU: Zheng, M
EM: mzheng@ltpmail.gsfc.nasa.gov
AF: Raytheon, ITSS, Bldg. 32 S031, GSFC, NASA, Greenbelt, MD 20771
AU: Devadiga, S
EM: devadiga@ltpmail.gsfc.nasa.gov
AF: SSAI, Bldg. 32 s031, GSFC, NASA, Greenbelt, MD 20771
AU: Roy, D
EM: David.roy@sdstate.edu
AF: South Dakota State Univ., Wecota Hall Box 506B, Brookings, SD 57001
AU: * Wolfe, R
EM: robert.wolfe@gsfc.nasa.gov
AF: NASA, GSFC, Bldg. 32, S036G, Greenbelt, MD 20771
AU: Masuoka, E
EM: Edward.J.Masuoka@nasa.gov
AF: NASA, GSFC, Bldg. 32, S036G, Greenbelt, MD 20771
AB: The Moderate Resolution Imaging Spectroradiometer (MODIS) Land Data Operational Product Evaluation (LDOPE) group automatically generates a set of browse images and time series plots of science data statistics from MODIS land products. Web interfaces allow the science community and the public to visualize these images and plots. The global browse images are generated from the coarse 5km versions of selected MODIS land products and climate modeling grid (CMG) products. These products are projected into a global coordinate system defined with a 20km pixel sizes. These global browse images are generated with fixed contrast stretching and color look-up tables to enable consistent temporal comparison to support interactive selection of browse products and zooming and panning at 5km resolution. Users can view individual granule information and order selected products through LADS (Land Archive and Distribution System) and ECHO (Earth Observing System Clearinghouse) system. Full resolution browse images are also made for all the gridded MODIS Land products at nine fixed globally distributed locations representing the variability of the products - golden tiles. A time series of summary statistics of various science parameters derived from these tiles is made available on a systematic basis through the web. Product time series analyses are important because they capture algorithm sensitivity to surface (e.g., vegetation phonology), atmospheric (e.g., aerosol loading) and remote sensing (e.g., sun-surface-sensor geometry) conditions that change temporally, and because they allow changes in the instrument characteristics and calibration to be examined.
DE: 0530 Data presentation and visualization
DE: 1640 Remote sensing (1855)
SC: Earth and Space Science Informatics [IN]
MN: Fall Meeting 2005