해색위성을 이용한 동해의 CDOM 추정 알고리즘 검증 및 시/공간적 변화
- Abstract
- Various remote sensing algorithms for Colored Dissolved Organic Matter (CDOM) by matching in-situ CDOM measurements in the East Sea with matching MODIS remote sensing reflectance were applied to understand dynamics of CDOM in the marine environment. Data collected during seven cruises from 2009∼2011 were analyzed to test algorithms across a range of environments from coastal waters to open ocean waters. Six different CDOM algorithms were tested and compared (three semi-analytical and three empirical CDOM algorithms). In this study, the best estimate for CDOM was achieved with Quasi-Analytical Algorithm (QAA).
Satellite-derived CDOM, chlorophyll-a (2003∼2010) and sea surface temperature (SST, 2003∼2010) were used to determine more detailed spatial and temporal variations in the East Sea. CDOM, chlorophyll-a concentration and SST showed clearly climatological and inter-annual variations at the whole study areas.
The highest climatological of aCDOM(412) were observed during the spring and lower values occurred during the summer. Inter-annual variation of aCDOM(412) was linearly decreased and short-term linear decreasing trend of annual aCDOM(412) during 8 year was 0.08m-1. Correlation of CDOM with Chlorophyll-a and CDOM with Sea Surface Temperature showed positive (R2=0.59) and negative (R2=0.81) relationship, respectively.
The results of this study supported that the improvement of GOCI CDOM algorithm. Moreover Chlorophyll-a and SST are important to understand the effect of temporal and spatial variability of CDOM over the East Sea.
- Author(s)
- 김윤정
- Issued Date
- 2012
- Awarded Date
- 2012. 8
- Type
- Dissertation
- Publisher
- 부경대학교
- URI
- https://repository.pknu.ac.kr:8443/handle/2021.oak/25324
http://pknu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000001965207
- Affiliation
- 부경대학교 대학원
- Department
- 대학원 해양학과
- Advisor
- 박미옥
- Table Of Contents
- 목 차
Abstract ⅰ
List of Figures ⅲ
List of Tables ⅴ
Ⅰ. 서 론 01
Ⅱ. 재료 및 방법 05
1. 현장관측 05
2. CDOM 흡광도 분석 07
3. 해색위성 자료 추출 및 분석 09
4. CDOM 알고리즘의 이론적 접근 14
4-1. Semi-Algorithms의 이론적 접근 19
4-1-1. Carder Semi-Analytic Algorithm 19
4-1-2. Garver-Siegel-Maritorena Semi-Analytical Algorithm 21
4-1-3. Quasi-Analytical Algorithm (QAA_v5) 22
4-2. Empirical-Algorithms의 이론적 접근 28
4-2-1. Tassan's TSM Algorithm 28
4-2-2. Geostationary Ocean Color Imager CDOM Algorithm 28
Ⅲ. 결과 및 고찰 30
1. Rrs를 이용한 CDOM 알고리즘 검증 30
1-1. 현장 aCDOM(412) 조사 결과 30
1-2. 기존 CDOM 알고리즘 검증 33
1-2-1. Semi-Algorithms 검증 34
1-2-1-1. Carder Semi-Analytic Algorithm 34
1-2-1-2. Garver-Siegel-Maritorena Semi-Analytical Algorithm 36
1-2-1-3. Quasi-Analytical Algorithm (QAA_v5) 36
1-2-2. Empirical-Algorithms 검증 38
1-2-2-1. Carder-empirical Algorithm 38
1-2-2-2. Tassan's TSM Algorithm 38
1-2-2-3. Geostationary Ocean Color Imager CDOM Algorithm 39
1-3. MODIS 영상 적용 및 오차 분석 42
2. aCDOM(412)의 시/공간적 변동 및 요인 분석 48
2-1. QAA를 이용한 aCDOM(412)의 계절 및 공간 변화 51
2-2. 클로로필의 계절 및 공간 변화 56
2-3. Sea Surface Temperature의 계절 및 공간 변화 61
2-4. aCDOM(412) 및 두 요인의 연별 및 공간 변화 69
2-5. aCDOM(412)와 두 요인 간의 상관관계 분석 75
Ⅳ. 결 론 79
1. CDOM 추정 알고리즘 검증 79
2. CDOM의 시/공간적 변동 및 요인 분석 81
Ⅴ. 참고 문헌 83
국문 요약 95
감사의 글 97
- Degree
- Master
-
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