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http://dx.doi.org/10.5389/KSAE.2015.57.4.061

Bias Correction of AMSR2 Soil Moisture Data Using Ground Observations  

Kim, Myojeong (School of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National University)
Kim, Gwangseob (School of Architectural, Civil, Environmental and Energy Engineering, Kyungpook National University)
Yi, Jaeeung (Division of Environmental, Civil & Transportation Engineering Ajou University)
Publication Information
Journal of The Korean Society of Agricultural Engineers / v.57, no.4, 2015 , pp. 61-71 More about this Journal
Abstract
Quantitative variability of AMSR2 (Advanced Microwave Scanning Radiometer 2) soil moisture data shows that the remotely sensed soil moisture is underestimated during Spring and Winter seasons and is overestimated during Summer and Fall seasons. Therefore the bias correction of the remotely sensed data is essential for the purpose of water resource management. To enhance their applicability, the bias of AMSR2 soil moisture data was corrected using ground observation data at Cheorwon Chuncheon, Suwon, Cheongju, Jeonju, and Jinju sites. Test statistics demonstrated that the correlation coefficient R is improved from 0.107~0.328 to 0.286~0.559 and RMSE is improved from 9.46~14.36 % to 5.38~9.62 %. Bias correction using ground network data improved the applicability of remotely sensed soil moisture data.
Keywords
Soil Moisture; AMSR2; Remote Sensing; Bias Correction;
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Times Cited By KSCI : 6  (Citation Analysis)
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