Analysis of Dissolved Oxygen on Tuban Coast Using Remote Sensing Algorithms from Landsat 8 Satellite Image Data and Interpolated Polynomials

Abstract

Dissolved oxygen is one of the parameters to detect whether a water body is experiencing interference or pollution due to the influence of pollutants and the presence of dirt from outside such as garbage discharges from local communities. Dissolved oxygen plays an important role in the life of biota in the aquatic environment, especially in coastal areas because with sufficient oxygen levels in water bodies, living things will be able to grow and multiply properly. This study wants to try to analyze dissolved oxygen levels in the coastal area of Tuban, where this coast is good for study because the morphology of the beach is relatively gentle and close to the recreation area of Boom Tuban beach. The method used in analyzing the distribution of dissolved oxygen is by remote sensing technology to obtain reflectance values from satellite images used to compile algorithms where later the most optimal mathematical model of dissolved oxygen can be obtained on the coast of Boom. Furthermore, it will also be modeled with a polynomial interpolation approach to obtain the best results from the reflectance relationship of the image with dissolved oxygen levels. The results obtained show that the polynomial approach of degrees 2 and 3 does not provide a significant increase in the correlation value besides that dissolved oxygen levels are still within normal limits, and have not experienced significant pollution so that it does not require expensive coastal handling, only needs monitoring every year to get a healthy water situation to support coastal areas intended for regional tourism.