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http://dx.doi.org/10.12652/Ksce.2010.30.5B.487

Statistical Analyses of Soil Moisture Data from Polarimetric Scanning Radiometer and In-situ  

Jang, Sun Woo (한양대학교 대학원 건설환경공학과)
Jeon, Myeon Ho (한양대학교 대학원 건설환경공학과)
Choi, Minha (한양대학교 건설환경공학과)
Kim, Tae-Woong (한양대학교 건설환경공학과)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.30, no.5B, 2010 , pp. 487-495 More about this Journal
Abstract
Soil moisture is a crucial factor in hydrological system which influences runoff, energy balance, evaporation, and atmosphere. United States National Aeronautic and Space Administration (NASA) and Department of Agriculture (USDA) have established Soil Moisture Experiment (SMEX) since 2002 for the global observations. SMEX provides useful data for the hydrological science including soil moisture and hydrometeorological variables. The purpose of this study is to investigate the relationship between remotely sensed soil moisture data from aircraft and satellite and ground based experiment. C-band of Polarimetric Scanning Radiometer (PSR) that observed the brightness temperature provides soil moisture data using a retrieval algorithm. It was compared with the In-situ data for 2-30 cm depth at four sites. The most significant depth is 2-10 cm from the correlation analysis. Most of the sites, two data are similar to the mean of data at 10 cm and the median at 7 cm and 10 cm at the 10% significant level using the Rank Sum test and t-test. In general, soil moisture data using the C-band of the PSR was established to fit the Normal, Log-normal and Gumbel distribution. Soil moisture data using the aircraft and satellites will be used in hydrological science as fundamental data. Especially, the C-band of PSR will be used to prove soil moisture at 7-10 cm depths.
Keywords
Soil moisture; SMEX02; PSR; Correlation analysis;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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