A Spatial Prescreening Technique for Earth Observation Data

We introduce a precise, efficient, and flexible spatial prescreening technique developed to support Moderate Resolution Imaging Spectroradiometer (MODIS) data subsetting in response to the requests of Aerosol Robotic Network researchers. The technique is capable of handling all MODIS data granules u...

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Bibliographic Details
Published in:IEEE geoscience and remote sensing letters 2007-01, Vol.4 (1), p.152-156
Main Authors: Xin-Min Hua, Jianfu Pan, Ouzounov, D., Lyapustin, A., Yujie Wang, Tewari, K., Leptoukh, G., Vollmer, B.
Format: Article
Language:English
Subjects:
Aerosol Robotic Network
Aerosols
algorithms
Atmospheric measurements
data processing
Earth
Granular materials
Granules
image processing
Instruments
Materials handling
meteorology
MODIS
NASA
Oceans
Poles
prescreening
remote sensing
Robots
satellite applications
Satellites
Sea measurements
spatial subsetting
Spectroradiometers
spherical geometry
terrestrial atmosphere
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Summary:We introduce a precise, efficient, and flexible spatial prescreening technique developed to support Moderate Resolution Imaging Spectroradiometer (MODIS) data subsetting in response to the requests of Aerosol Robotic Network researchers. The technique is capable of handling all MODIS data granules uniformly regardless of their locations on the Earth, with no special treatment required for dateline and pole crossing regions. It is easily adaptable to other problems where spatial prescreening is desired
ISSN:1545-598X
1558-0571
DOI:10.1109/LGRS.2006.886421