Journal of Korea Water Resources Association (한국수자원학회논문집)

Korea Water Resources Association (한국수자원학회)
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Evaluation of satellite-based soil moisture retrieval over the korean peninsula : using AMSR2 LPRM algorithm and ground measurement data

위성기반 토양수분 자료의 한반도 지역 적용성 평가: AMSR2 LPRM 알고리즘과 지점관측 자료를 이용하여

  • Kim, Seongkyun (Dept. of Water Resources, Graduate School of Water Resources, Sungkyunkwan Univ.) ;
  • Kim, Hyunglok (Dept. of Water Resources, Graduate School of Water Resources, Sungkyunkwan Univ.) ;
  • Choi, Minha (Dept. of Water Resources, Graduate School of Water Resources, Sungkyunkwan Univ.)
  • 김성균 (성균관대학교 수자원전문대학원 수자원학과) ;
  • 김형록 (성균관대학교 수자원전문대학원 수자원학과) ;
  • 최민하 (성균관대학교 수자원전문대학원 수자원학과)
  • Received : 2016.02.04
  • Accepted : 2016.03.17
  • Published : 2016.05.31
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Abstract

This study aims at assessing the quality of the Advanced Microwave Scanning Radiometer 2 (AMSR2) soil moisture products onboard GCOM-W1 satellite based on Land Parameter Retrieval Model (LPRM) soil moisture retrieval algorithm with field measurements in South Korea from March to September, 2014. Results of mean bias and root mean square error between AMSR2 LPRM soil moisture products (X-band) and ground measurements showed reasonable value of 0.03 and 0.16. Also, the maximum of the Pearson correlation coefficients was 0.67, which showed good agreement in terms of temporal variability with ground measurements. By comparing AMSR2 soil moisture with in-situ measurement according to the overpass time and band frequency, X-band products on the ascending time outperformed than those of C1-band and C2-band. Furthermore, this study offers an insight into the applicability of the AMSR2 soil moisture products for monitoring various natural disasters at a large scale such as drought and flood.

본 연구에서는 GCOM-W1 위성에 탑재된 Advanced Microwave Scanning Radiometer 2 (AMSR2) 센서의 토양수분 자료를 Land Parameter Retrieval Model (LPRM) 알고리즘을 통해 전처리하여 2014년도 한반도 지점관측 자료와의 비교 분석을 수행, 위성 토양수분 자료의 적합성을 평가하였다. 통계 분석 결과 AMSR2 X-band의 토양수분 자료는 38개의 지점관측 자료와 비교해 0.03의 평균 bias, 0.16의 평균 RMSE의 낮은 오차 수준을 보였으며, 최대상관계수는 0.67로 나타났다. 또한 AMSR2 센서의 ascending, descending 시간대별 위성 토양수분자료 분석과 X, C1, C2-band의 주파수 영역별 위성 토양수분 자료 분석 결과, ascending overpass time 시간대와, X-band 주파수의 토양수분자료가 지점 관측 자료와 더 좋은 상관관계를 보였다. 본 연구의 분석 결과는 한반도에서 최근 문제가 되고 있는 가뭄을 비롯한 각종 재해 분석 시 토양수분의 공간적 분포를 연구하는데 활용 될 수 있을 것으로 기대된다.

Keywords

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