한국수자원학회논문집 (Journal of Korea Water Resources Association)

  • 제49권3호
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  • Pages.263-273
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  • 2016
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  • 2799-8746(pISSN)
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  • 2799-8754(eISSN)
한국수자원학회 (Korea Water Resources Association)
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조건부 합성방법을 이용한 위성관측 토양수분과 지상관측 토양수분의 합성

Spatial merging of satellite based soil moisture and in-situ soil moisture using conditional merging technique

  • 이재현 (홍익대학교 토목공학과) ;
  • 최민하 (성균관대학교 수자원대학원 수자원학과) ;
  • 김동균 (홍익대학교 토목공학과)
  • Lee, Jaehyeon (Department of Civil Engineering, Hongik University) ;
  • Choi, Minha (Graduate School of Water Resources, Sungkyunkwan University) ;
  • Kim, Dongkyun (Department of Civil Engineering, Hongik University)
  • 투고 : 2016.01.08
  • 심사 : 2016.02.11
  • 발행 : 2016.03.31
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초록

기존에 레이더 강우자료의 합성에만 국한되었던 조건부 합성방법을 지상관측 토양수분과 위성관측 토양수분 자료에 적용하였다. 연구에 사용한 토양수분 자료는 농촌진흥청에서 제공하는 24개 관측소의 한시간 단위의 지상관측토양수분자료와 AQUA 위성의 Advanced Microwave Scanning Radiometer-Earth observing system (AMSR-E) 센서에서 관측된 토양수분 자료를 사용하였다. 교차검증방법(leave one out cross validation)을 사용하여 조건부 합성방법의 예측성능을 평가 하였고, 관측소별 교차검증 방법의 결과를 공간분포 시켜서 지역적인 특성을 분석하였다. 이 연구에서 도출된 결과는 다음과 같다. (1) 총 113일의 분석 기간 중 100일 이상의 기간에 대하여 조건부합성방법을 적용하였을 경우 AMSR-E 자료에 비해 지상관측자료와의 편차가 감소하는 것으로 나타났다. (2) 조건부 합성 방법의 예측 성능은 관측소의 밀도와 밀접한 관련을 나타내었으며, 관측소가 많이 밀집되어있는 한반도의 서쪽 지역에서 예측성능이 우세하게 나타났다. (3) 강우가 발생하지 않는 기간에 대한 AMSR-E의 낮은 정확도와 달리 조건부 합성방법은 무강우 기간에 대해서도 높은 예측성능을 나타내었다. 본 연구의 결과는 미계측 지역에 대한 토양수분을 추정하는 조건부 합성방법의 적용 가능성을 제시한다.

This study applied conditional merging (CM) spatial interpolation technique to obtain the satellite and in-situ composite soil moisture data. For the analysis, 24 gages of hourly in-situ data sets from the Rural Development Administration (RDA) of Korea and the satellite soil moisture data retrieved from Advanced Microwave Scanning Radiometer-Earth observing system (AMSR-E) were used. In order to verify the performance of the CM method, leave-one-out cross validation was used. The cross validation result was spatially interpolated to figure out spatial correlation of the CM method. The results derived from this study are as follow: (1) The CM method produced better soil moisture map over Korean Peninsula than AMSR-E did for the over 100 days out of total 113 days considered for the analysis. (2) The method of CM showed high correlation with gage density and better performance on the western side of Korean peninsula due to high spatial gauge density. (3) The performance of CM is not affected by the non-rainy season unlike to AMSR-E data is. Overall, the result of this study indicates that the CM method can be applied for predicting soil moisture at ungaged locations.

키워드

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