Title
Multisensor Data Product Fusion for Aerosol Research
Abstract
Combining data sets from multiple satellite sensors is a powerful method for studying Earth-atmosphere problems. By fusing data, we can utilize the strengths of the individual sensors that may not be otherwise possible. In this paper, we provide the framework for combining level 2 data products, using data from three sensors aboard the National Aeronautics and Space Administration (NASA)'s Terra satellite. These data include top-of-the-atmosphere (TOA) radiative energy fluxes obtained from the Clouds and the Earth's Radiant Energy System (CERES), aerosol optical thickness from the multispectral Moderate Resolution Imaging Spectroradiometer (MODIS), and aerosol properties from the Multi-angle Imaging SpectroRadiometer (MISR). The CERES Single Scanner Footprint (SSF) contains the pixel level CERES TOA fluxes and the level 2 MODIS aerosol data. We specifically focus upon fusing the CERES SSF with the MISR aerosol products. Although this project was undertaken specifically to address aerosol research, the methods employed for fusing data products can be used for other problems requiring synergistic data sets. We present selected case studies over different aerosol regimes and indicate that multisensor information provides value-added information for aerosol research that is not available from a single sensor.
Year
DOI
Venue
2008
10.1109/TGRS.2008.916087
IEEE T. Geoscience and Remote Sensing
Keywords
Field
DocType
aerosols,atmospheric composition,atmospheric radiation,sensor fusion,CERES Single Scanner Footprint,Clouds and the Earth's Radiant Energy System,Earth-atmosphere problems,MISR,Multiangle Imaging SpectroRadiometer,NASA Terra satellite,National Aeronautics and Space Administration,SSF,aerosol optical thickness,aerosol properties,level 2 MODIS aerosol data,multisensor data product fusion,multispectral Moderate Resolution Imaging Spectroradiometer,top-of-the-atmosphere radiative energy fluxes,Aerosol forcing,Clouds and the Earth's Radiant Energy System (CERES),Moderate Resolution Imaging Spectroradiometer (MODIS),Multi-angle Imaging SpectroRadiometer (MISR),aerosols,climate,data fusion
Meteorology,Satellite,Moderate-resolution imaging spectroradiometer,Optical depth,Remote sensing,Multispectral image,Aerosol,Sensor fusion,Spectroradiometer,Mathematics,Clouds and the Earth's Radiant Energy System
Journal
Volume
Issue
ISSN
46
5
0196-2892
Citations 
PageRank 
References 
3
0.46
6
Authors
3
Name
Order
Citations
PageRank
Pawan Gupta131.14
Falguni Patadia231.14
Sundar A. Christopher3287.81