Nirala, M (2008). Multi-sensor data fusion and comparison of total column ozone. INTERNATIONAL JOURNAL OF REMOTE SENSING, 29(15), 4553-4573.

Abstract
With many remote- sensing instruments onboard satellites exploring the Earth's atmosphere, most data are processed to gridded daily maps. However, differences in the original spatial, temporal, and spectral resolution- as well as format, structure, and temporal and spatial coverage- make the data merging, or fusion, difficult. NASA Goddard Earth Sciences Data and Information Services Center ( GES- DISC) has archived several data products for various sensors in different formats, structures, and multi- temporal and spatial scales for ocean, land, and atmosphere. In this investigation using Earth science data sets from multiple sources, an attempt was made to develop an optimal technique to merge the atmospheric products and provide interactive, online analysis tools for the user community. The merged/ fused measurements provide a more comprehensive view of the atmosphere and improve coverage and accuracy, compared with a single instrument dataset. This paper describes ways of merging/ fusing several NASA Earth Observing Systems ( EOS) remote- sensing datasets available at GES- DISC. The applicability of various methods was investigated for merging total column ozone to implement these methods into Giovanni, the online interactive analysis tool developed by GES- DISC. Ozone data fusion of MODerate resolution Imaging Spectrometer ( MODIS) Terra and Aqua Level3 daily data sets was conducted, and the results were found to provide better coverage. Weighted averaging of Terra and Aqua data sets, with the consequent interpolation through the remaining gaps using Optimal Interpolation ( OI), also was conducted and found to produce better results. Ozone Monitoring Instrument ( OMI) total column ozone is reliable and provides better results than Atmospheric Infrared Sounder ( AIRS) and MODIS. However, the agreement among these instruments is reasonable. The correlation is high ( 0.88) between OMI and AIRS total column ozone, while the correlation between OMI and MODIS Terra/ Aqua fused total column ozone is 0.79.

DOI:

ISSN:
0143-1161