Estimation of Coastal Suspended Sediment Concentration using Satellite Data and Oceanic In-Situ Measurements

被引:8
作者
Lee, Min-Sun [1 ]
Park, Kyung-Ae [2 ,3 ]
Chung, Jong-Yul [3 ]
Ahn, Yu-Hwan [4 ]
Moon, Jeong-Eun [4 ]
机构
[1] Seoul Natl Univ, Dept Sci Educ, Seoul, South Korea
[2] Seoul Natl Univ, Dept Earth Sci Educ, Seoul, South Korea
[3] Seoul Natl Univ, Res Inst Oceanog, Seoul, South Korea
[4] Korea Ocean Res & Dev Inst, Seoul, South Korea
关键词
Suspended Sediment; Landsat ETM+; Remote Sensing Reflectance;
D O I
10.7780/kjrs.2011.27.6.677
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Suspended sediment is an important oceanic variable for monitoring changes in coastal environment related to physical and biogeochemical processes. In order to estimate suspended sediment concentration (SSC) from satellite data, we derived SSC coefficients by fitting satellite remote sensing reflectances to in-situ suspended sediment measurements. To collect in-situ suspended sediment, we conducted ship cruises at 16 different locations three times for the periods of Sep.-November 2009 and Jul. 2010 at the passing time of Landsat ETM+. Satellite data and in-situ data measured by spectroradiometers were converted to remote sensing reflectances (R-rs). Statistical approaches proved that the exponential formula using a single band of Rrs(565) was the most appropriate equation for the estimation of SSC in this study. Satellite suspended sediment using the newly-derived coefficients showed a good agreement with in-situ suspended sediment with an Root Mean Square (RMS) error of 1-3 g/m(3). Satellite-observed SSCs tended to be overestimated at shallow depths due to bottom reflection presumably. This implies that the satellite-based SSCs should be carefully understood at the shallow coastal regions. Nevertheless, the satellite-derived SSCs based on the derived SSC coefficients, for the most cases, reasonably coincided with the pattern of in-situ suspended sediment measurements in the study region.
引用
收藏
页码:677 / 692
页数:16
相关论文
共 27 条
[1]  
Ahn Y. H., 2001, KOREAN J REMOTE SENS, V17, P285
[2]  
Ahn Y. H, 1990, THESIS
[3]  
Austin R., 1974, OCEAN COLOR ANAL INH
[4]  
BALL FK, 1954, AUST J PHYS, V7, P648
[5]   An algorithm for the retrieval of suspended sediment concentrations in the Irish Sea from SeaWiFS ocean colour satellite imagery [J].
Binding, CE ;
Bowers, DG ;
Mitchelson-Jacob, EG .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2003, 24 (19) :3791-3806
[6]  
Chavez PS, 1996, PHOTOGRAMM ENG REM S, V62, P1025
[7]   A simple and effective method for filling gaps in Landsat ETM plus SLC-off images [J].
Chen, Jin ;
Zhu, Xiaolin ;
Vogelmann, James E. ;
Gao, Feng ;
Jin, Suming .
REMOTE SENSING OF ENVIRONMENT, 2011, 115 (04) :1053-1064
[8]  
Clark D.K., 1997, MODIS ALGORITHM THEO
[9]   UPWELLED SPECTRAL RADIANCE DISTRIBUTION IN RELATION TO PARTICULATE MATTER IN SEA-WATER [J].
CLARK, DK ;
BAKER, ET ;
STRONG, AE .
BOUNDARY-LAYER METEOROLOGY, 1980, 18 (03) :287-298
[10]  
Doerffer R., 1997, ALGORITHM THEORETICA