Title of article :
Estimating accuracy in optimal deconvolution of synthetic AMSR-E observations
Author/Authors :
Limaye، نويسنده , , Ashutosh S. and Crosson، نويسنده , , William L. and Laymon، نويسنده , , Charles A.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2006
Pages :
10
From page :
133
To page :
142
Abstract :
Optimal deconvolution (ODC) utilizes the footprint overlap in microwave observations to estimate the earthʹs brightness temperatures (TB). This paper examines the accuracy of ODC-estimated TB compared with a standard averaging technique. Because brightness temperatures cannot be independently verified, we constructed synthetic True TB for accuracy assessment. We assigned TB at a high spatial resolution (1 km) grid and computed the True TB by spatial averaging of the assigned TB to a lower resolution earth grid (25 km), selected to match the resolution of products generated from the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E). We used the sensor antenna response function along with the 1-km assigned TB to generate synthetic observations at AMSR-E footprint locations. These synthetic observations were subsequently deconvolved in the ODC technique to estimate TB at the lower resolution earth grid. The ODC-estimated TB and the simple grid cell averages of the synthetic observations were compared with the True TB allowing us to quantify the efficacy of each technique. In areas of high TB contrast (such as boundaries of water bodies), ODC performed significantly better than averaging. In other areas, ODC and averaging techniques produced similar results. A technique similar to ODC can be effective in delineating water bodies with significant clarity. That will allow microwave observations to be utilized near the shorelines, a trouble spot for the currently used averaging techniques.
Keywords :
AMSR-E , SYNTHETIC , Deconvolution , optimal , microwave , Radiometer
Journal title :
Remote Sensing of Environment
Serial Year :
2006
Journal title :
Remote Sensing of Environment
Record number :
1574791
Link To Document :
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