원격탐사를 이용한 여름철 외해의 저염수 추적

Abstract

To trace offshore surface low-salinity water (LSW), we was measured in the Northeastern Gulf of Mexico on 9 cruises from November 1997 to August 2000 and the East China Sea from 2003 to 2011 to investigate the seasonal and spatial variability related to synchronous remote sensing data (SeaWiFS/MODIS/GOCI ocean color data, sea surface temperature, sea surface height anomaly, and sea surface wind) and recorded river discharge data. In this study, we will investigate the temporal and spatial variability of particulate and dissolved matters and determine the physical forcing factors that significantly affect the distribution of materials with matching satellite data. Satellite remote sensing and in situ measurement were used to detect changes in the particle distributions as affected by river discharge, local wind stresses, and the current and eddies. To vastly improve the limited spatial and temporal resolution of surface salinity distribution obtained by shipboard sampling, a two-step empirical approach was used to enable satellite remote sensing. First, the relationship between in situ salinity and particulate and dissolved matters was regressed. Second, in situ particulate and dissolved matters was matched with multi-spectral radiance using the radiance ratio of all available blue-to-green wavelengths, and an empirical correlation was calculated. Finally, satellite-derived surface salinitybility related to synchronous remote sensing data (SeaWiFS/MODIS/GOCI ocean color data, sea surface temperature, sea surface height anomaly, and sea surface wind) and recorded river discharge data. In this study, we will investigate the temporal and spatial variability of particulate and dissolved matters and determine the physical forcing factors that significantly affect the distribution of materials with matching satellite data. Satellite remote sensing and in situ measurement were used to detect changes in the particle distributions as af