The water quality in the northern coastal waters estuary of Central Java has been polluted at a moderate to severe level. Water quality monitoring efforts for evaluating the condition of dissolved sedimentation can be done through total suspended solid methods by analising the remote sensing imagery. Total suspended solid (TSS) is measured by suspended material (diameter> 1 m) which retained in the millopore filter with a 0.45 m pore diameter. The purpose of this research is to assess the distribution of TSS concentrations in the research location. This study was conducted using Landsat 8 image data on August 9th, 2018. TSS concentration values were obtained through linear regression tests Doxaran algorithm which is the most suitable algorithm with the field condition. The results showed that: 1) The appropriate empirical algorithm for mapping TSS concentrations is the Doxaran algorithm with the TSS equation = 1.0248x - 10.503, 2) Distribution of TSS with the range >75 mg/l mostly concentrated in center and west of the study area, while the concentration with range <75 mg/l is concentrated in the east, and 3) Distribution of TSS is affected by the movement of currents driven by the wind towards the west and southwest and partly collected in the western part of the study area.

中爪哇北部沿海水域河口的水质受到中度至重度污染。通过分析遥感图像，可以通过总悬浮固体方法来评估溶解沉淀状况的水质监测工作。总悬浮固体 (TSS) 通过保留在孔径为 0.45 m 的微孔过滤器中的悬浮材料（直径 > 1 m）来测量。本研究的目的是评估研究地点 TSS 浓度的分布。本研究使用 2018 年 8 月 9 日的 Landsat 8 图像数据进行。TSS 浓度值通过线性回归测试得到 Doxaran 算法，这是最适合现场条件的算法。结果表明：