Abstract:
The purpose of this study was to analyze the correlation between multi-wavelength image data with remote sensing data using data from Sentinel-2A satellite imagery over the period 2016-2019, totaling 4 years. By converting the reflectance energy to convert from digital number (DN) into the form of Energy reflection value by instrument Semi-Automatic Classification Plugin on QGIS. The images were then fused using band 2 to 6 and reflected energy values were extracted with the Point Sampling Tool from coastal water quality data from Phetchaburi Coastal Fisheries Resaech & Development Center. There are 13 sampling points located within the sea snail culture permit area in Phetchaburi Province. To find the decision coefficient (R2) with 10 factors as follows: ammonia, nitrates, nitrites, pH, alkalinity, phosphates, salinity, dissolve oxygen, temperature and transparency, that using the highest value of R2 is chosen for each factor. The results showed that the highest R2 value at 0.548 was the temperature in band 5 of 2019, and the lowest R2 value at 0.187 was the ammonia in band 2 of 2018. It was found that most had relatively low correlation values and some factors may have little or no correlation.
