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http://dx.doi.org/10.7780/kjrs.2015.31.6.3

First-time estimation of HCHO column in major cities over Asia using multiple regression with satellite data  

Choi, Wonei (Department of Spatial Information Engineering, Pukyong National University)
Hong, Hyunkee (Department of Spatial Information Engineering, Pukyong National University)
Park, Junsung (Department of Spatial Information Engineering, Pukyong National University)
Lee, Hanlim (Department of Spatial Information Engineering, Pukyong National University)
Publication Information
Korean Journal of Remote Sensing / v.31, no.6, 2015 , pp. 523-530 More about this Journal
Abstract
A Multiple Regression Method (MRM) is used for the first time with Ozone Monitoring Instrument (OMI) and Moderate Resolution Imaging Spectroradiometer (MODIS) data to estimate formaldehyde (HCHO) Vertical Column Density (VCD). For a 3.5-year period from January 2005 through July 2008, HCHO VCD estimation is investigated in cities over Asia in two categorized areas: (1) Major cities in Northeast Asia (Beijing, Seoul, and Tokyo), (2) Major cities in Southeast Asia (New Delhi, Dhaka, and Bangkok). In the Major cities in Northeast Asia, there are good agreements between HCHO estimated by the multiple linear regression method ($HCHO_{MRM}$) and HCHO measured by OMI ($HCHO_{OMI}$) (0.78 < $R^2$ < 0.82). However, in Major cities in Southeast Asia, there were poor agreements between $HCHO_{OMI}$ and $HCHO_{MRM}$ (0.24 < $R^2$ < 0.39). In addition, an unbiased assessment of the MRM performance using modeling and validation groups shows that the performance of the MRM based on separate modeling and validation groups is comparable to that using all the data for deriving Multiple Regression Equations (MREs). This study demonstrates that MRM can be an alternative tool for HCHO estimation in certain areas over Asia.
Keywords
Multiple regression; OMI; MODIS; HCHO column; trace gas;
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