Author_Institution :
Sch. of Geodesy & Geomatics Eng., Huaihai Inst. of Technol., Lianyungang, China
Abstract :
Lianyungang sea area was taken as subject investigated, sunshiny and cloudless MODIS 1B remote sensing data on February 19, Marsh 16, and April 3 were chosen and some preprocessing such as geometric correction, Bowtie correction, and image resize were done successfully. Then, sea surface temperature (SST) by non-linear sea surface temperature (NLSST) algorithm was extracted (Fig. 1, 2, and 3). Research results were indicated that the average values of sea surface temperature on February 19, March 16, and April 3 were 3.87°C, 4.54°C, and 6.84°C respectively. The spatial distribution of SST on February 19 occurred gradually increase from offshore to territorial sea, while that on March 16 and April 3 presented gradually decrease. Sea surface temperature of drainage area in Tianwan nuclear power plant on three time phase was higher than average temperature value. The lowest values were 2.5724°C, 6.4532°C, and 4.9399°C respectively. The research will provide important technique support for further discussing the degree of heat pollution and negative impact on around sea area.
Keywords :
geophysical signal processing; ocean temperature; remote sensing; Bowtie correction; Lianyungang sea area; MODIS remote sensing; NLSST algorithm; Tianwan nuclear power plant; drainage area; geometric correction; heat pollution; image resize; sea surface temperature extraction; temperature 3.87 degC; temperature 4.54 degC; temperature 6.84 degC; MODIS; Ocean temperature; Satellites; Sea surface; Temperature distribution; Temperature measurement; Temperature sensors; Lianyungang sea area; MODIS remote sensing data; nonlinear SST algorithm; sea surface temperature;