Analysis of Total Suspended Solids (TSS) at Bedadung River, Jember District of Indonesia Using Remote Sensing Sentinel 2A Data

Abstract

Background and Objective: Clean water is an essential need for people to life. The quality assessment of water is very important to manage water resources to fulfill the needs. Remote sensing provides technology to assess water quality in the wide area effectively and quickly. The recent free and high resolution optical remote sensing satellite data is Sentinel 2A with 10 m spatial resolution. This study aims to detect water quality of the Bedadung River in the Jember District, Indonesia based on total suspended solids (TSS) values related to rainfall. Materials and Methods: Pre-processing data is conducted by geometric correction and radiometric correction. The next step is converting DN of pixels data into reflectance ToA. This converted data in then calculated to get TSS data. Results: The TSS values obtained were grouped into 4 classes that were declared from class 1 with the highest TSS value to grade 4 with the lowest TSS value. This maintains a logical effect that in the rainy season river water often becomes dirty because of the flow of rain into the river. The analysis of coefficient correlation between TSS and rainfall is 0.793. It means that TSS has positive correlation to rainfall. Conclusion: Based on calculated TSS values, the Bedadungʼs River is still good for water resources and they are positively related to the rainfall with correlation coefficient of 0.793.